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Gastroenterología y Hepatología (English Edition) Corrigendum. Multidisciplinary clinical practice guideline on the management of ...
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Available online 20 February 2026

Corrigendum. Multidisciplinary clinical practice guideline on the management of metabolic hepatic steatosis

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Manuel Romero-Gómeza,b,c,d,
Corresponding author
mromerogomez@us.es

Corresponding author.
, Javier Escaladae,f,g,h, Mar Nogueroli,j, Antonio Pérezk,l,m, Juana Carreteron,o, Javier Crespop,q,r,s, Juan J. Mascortj,t, Ignacio Aguilaru, Francisco Tinahonesg,v,w,x, Pedro Cañonesy, Ricardo Gómez-Huelgaso,z,aa, Daniel de Luisf,ab,ac, Idoia Genúa Trullosk,l,m, Rocío Allerd,k,m,ad,ae, Miguel A. Rubiof,af, José Luis Callejaag
a UGC Aparato Digestivo, Hospital Universitario Virgen del Rocío, Seville, Spain
b Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
c Instituto de Biomedicina de Sevilla (HUVR/CSIC/US), Departamento de Medicina, Universidad de Sevilla, Seville, Spain
d Asociación España para el Estudio del Hígado, Spain
e Centro de Salud Roquetas Norte, Roquetas de Mar, Almería, Spain
f Sociedad Españolade Endocrinología y Nutrición, Madrid, Spain
g CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
h Instituto de Investigación en la Salud de Navarra (IdiSNA), Pamplona, Spain
i Centro de Salud Universitario Cuzco de Fuenlabrada, Madrid, Spain
j Sociedad Españolade Medicina de Familia y Comunitaria, Madrid, Spain
k Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
l CIBER de Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain
m Sociedad Española de Diabetes, Madrid, Spain
n Hospital Universitario de Badajoz, Badajoz, Spain
o Sociedad Española de Medicina Interna (SEMI), Madrid, Spain
p Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, Spain
q Sociedad Españolade Patología Digestiva, Madrid, Spain
r Grupo de Investigación Clínica y Traslacional en Enfermedades Digestivas, Santander, Cantabria, Spain
s Instituto de Investigación Valdecilla (IDIVAL), Santander, Cantabria, Spain
t Centro de Salud Florida Sud, Institut Català de la Salut, Hospitalet de Llobregat, Barcelona, Spain
u Centro de Salud Roquetas Norte, Roquetas de Mar, Almería, Spain
v Departamento de Endocrinología y Nutrición, Hospital Virgen de la Victoria, Málaga, Spain
w Sociedad Españolade Obesidad, Madrid, Spain
x Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionard, Universidad de Málaga, Málaga, Spain
y Sociedad Españolade Médicos Generales y de Familia, Madrid, Spain
z Servicio de Medicina Interna, Hospital Regional Universitario de Málaga, Málaga, Spain
aa Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), Málaga, Spain
ab Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
ac Centro de Investigación de Endocrinología y Nutrición, Universidad de Valladolidad, Valladolid, Spain
ad Servicio de Aparato Digestivo, Hospital Clínico Universitario de Valladolid, Universidad de Valladolid, Valladolid, Spain
ae Ciber Enfermedades infecciosas (CIBERINFEC), Madrid, Spain
af Hospital Clínico San Carlos, Madrid, Spain
ag Servicio de Aparato Digestivo, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Universidad Autónoma de Madrid, Majadahonda, Madrid, Spain
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Manuel Romero-Gómez, Javier Escalada, Mar Noguerol, Antonio Pérez, Juana Carretero, Javier Crespo, Juan J. Mascort, Ignacio Aguilar, Francisco Tinahones, Pedro Cañones, Ricardo Gómez-Huelgas, Daniel de Luis, Idoia Genúa Trullos, Rocío Aller, Miguel A. Rubio
Manuel Romero-Gómez, Javier Escalada, Mar Noguerol, Antonio Pérez, Juana Carretero, Javier Crespo, Juan J. Mascort, Ignacio Aguilar, Francisco Tinahones, Pedro Cañones, Ricardo Gómez-Huelgas, Daniel de Luis, Idoia Genúa Trullos, Rocío Aller, Miguel A. Rubio, José Luis Calleja
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Table 1. Relationship between the degree of consensus, degree of recommendation and level of evidence of each of the proposed recommendations.
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Abstract

Metabolic hepatic steatosis (MetHS) is a clinically heterogeneous, multisystemic, dynamic, and complex disease, whose progression is one of the main causes of cirrhosis and hepatocarcinoma. This clinical practice guideline aims to respond to its main challenges, both in terms of disease burden and complexity. To this end, recommendations have been proposed to experts through the Delphi method. The consensus was optimal in recommendations regarding type 2 diabetes as a risk factor (1.5.1, 4.5.1), in which cases early detection of MetHS should be carried out (4.5.2). Its results also emphasize the importance of the use of non-invasive tests (FIB-4, NFS, HFS) for the exclusion of significant fibrosis in patients with suspected MetHS (2.3.1, 2.3.3). Diagnosis should be carried out through the sequential combination of non-invasive indices and transient elastography by FibroScan® for its risk stratification (2.3.3). A nearly unanimous consensus was reached regarding the role of early prevention in the impact on the quality of life and survival of patients (5.1.2), as well as on the effectiveness of the Mediterranean diet and physical exercise in relation to the improvement of steatosis, steatohepatitis and fibrosis in MetHS patients (5.2.2) and on the positive results offered by resmiterom and semaglutide in promoting fibrosis regression (5.4.1). Finally, a great consensus has been reached regarding the importance of multidisciplinary management in MetHS, for which it is essential to agree on multidisciplinary protocols for referral between levels in each health area (6.2.1), as well as ensuring that referrals to Hepatology/Digestive and Endocrinology or Internal Medicine services are effective and beneficial to prevent the risk of disease progression (6.2.3, 6.3.1).

Keywords:
Metabolic hepatic steatosis
Steatohepatitis
Fibrosis
Detection
Referral
Resumen

La esteatosis hepática metabólica (EHmet) es una enfermedad clínicamente heterogénea, multisistémica, dinámica y compleja, cuyo progreso es una de las causas principales de cirrosis y hepatocarcinoma. La presente guía de práctica clínica pretende dar respuesta a los principales desafíos que presenta, tanto en su carga de enfermedad como en su complejidad. Para ello se han propuesto una serie de recomendaciones consensuadas mediante el método Delphi. El consenso resultó óptimo en las recomendaciones relativas a la diabetes tipo 2 como factor de riesgo (1.5.1, 4.5.1), en cuyos casos se debe llevar a cabo una detección precoz de EHmet (4.5.2). Destaca la importancia del uso de pruebas no invasivas (FIB-4, NFS, HFS) para la exclusión de fibrosis significativa en pacientes con sospecha de EHmet (2.3.1, 2.3.3). El diagnóstico debe ser llevado a cabo a través de la combinación secuencial de índices no invasivos y elastografía transitoria mediante FibroScan® para una correcta estratificación del riesgo (2.3.3). Se ha alcanzado un consenso casi unánime en el papel de la prevención precoz en el impacto en la calidad de vida y supervivencia de los pacientes (5.1.2), así como en la efectividad de la dieta mediterránea y el ejercicio físico en relación con la mejoría de la esteatosis, la esteatohepatitis y la fibrosis en pacientes con EHmet (5.2.2) y en los resultados positivos ofrecidos por resmiterom y semaglutida para promover la regresión de la fibrosis (5.4.1). Finalmente, se ha alcanzado un gran consenso en la importancia del manejo multidisciplinar de EHmet, para el cual es esencial consensuar protocolos multidisciplinares de derivación entre niveles en cada área sanitaria (6.2.1), así como que las derivaciones a los servicios de hepatología/digestivo y endocrinología o medicina interna resulten efectivas y beneficiosas para prevenir el riesgo de progresión de la enfermedad (6.2.3, 6.3.1).

Palabras clave:
Esteatosis hepática metabólica
Esteatohepatitis
Fibrosis
Detección
Derivación
Full Text
Introduction

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a biologically and clinically heterogeneous disease defined by the accumulation of fat in the liver. It is considered the liver component of a group of diseases associated with metabolic dysfunction1 in the absence of alcohol use.

From a histological point of view, MASLD ranges from simple steatotic liver disease (steatosis without inflammation) and steatohepatitis (steatosis, inflammation and ballooning with varying degrees of fibrosis) to cirrhosis and hepatocellular carcinoma. Approximately 80% of patients with MASLD have simple steatotic liver disease, which progresses to more advanced forms of the disease in about 20% of patients. It is, therefore, one of the most common causes of cirrhosis and hepatocellular carcinoma.2

MASLD is a multisystem disease; in patients who have developed significant liver disease, and particularly in those with liver cirrhosis, the mortality risk is related to the liver disease, but in the rest of patients diagnosed with MASLD, the mortality risk is related to cardiovascular events and cancer, both hepatic and extrahepatic.3

The aim with these clinical practice guidelines is to address the main challenges posed by this disease: its huge burden and complexity, and its dynamism and heterogeneity. We thus need to develop non-invasive tools for diagnostic management and risk stratification, while at the same time creating multidisciplinary teams to ensure the care we provide covers all aspects of the disease.

Methods

We have followed the Delphi method throughout the development of this consensus, by selecting experts in MASLD belonging to the nine Spanish scientific societies involved in the management of the disease: AEEH, SEEN, SEMFYC, SEMI, SEPD, SEMERGEN, SEEDO, SED and SEMG. We designed an initial questionnaire with PICO (population, intervention, comparator and outcomes) questions, which were answered taking into account the scientific evidence available for each of the four items. This questionnaire was submitted to two iterative rounds. In the first, the experts responded to the initial questionnaire in full, and the organising team compiled, analysed and summarised the responses, identifying patterns, consensus and areas of disagreement. Based on the disagreements, a new questionnaire was generated and completed in a second round. The new questionnaire contained a reformulation of the questions, enabling discrepancies to be explored and validating the points of consensus. This helped reach an optimal degree of consensus among the participants. It is important to note that reaching a consensus did not mean obtaining unanimous responses, but rather that the organisers perceived the existence of general agreement on the key points related to the consensus.

The first round was carried out in AEEH's RedCAP and the second round in Google Forms®, given the lower volume of recommendations to be evaluated.

Once the responses from the working group were obtained, we carried out a qualitative and quantitative analysis of the degree of agreement. We arbitrarily established that an excellent level would be between 90% and 100% and an optimal level between 75% and 90%. Recommendations with agreement below 75% were evaluated in the second round (Table 1).

Table 1.

Relationship between the degree of consensus, degree of recommendation and level of evidence of each of the proposed recommendations.

Recommendation  Degree of consensus  Degree of recommendation  Level of evidence 
1.1.1. In Spanish, the use of the term "esteatosis hepática metabólica" [metabolic hepatic steatosis] and its acronym "EHmet" are recommended  93.3%  Strong 
1.1.2. in English, the term metabolic dysfunction-associated steatotic liver disease (MASLD) is recommended  93.3%  Strong 
1.2.1. Screening for MASLD is recommended in patients with risk factors and especially those at risk of developing steatohepatitis and fibrosis (diabetes, obesity, high blood pressure, metabolic syndrome, or kidney or cardiovascular disease) regardless of transaminase levels  95.8%  Strong 
1.3.1. We recommend that patients with suspected liver disease be investigated for the presence of MASLD, as MASLD is the most common cause of chronic liver disease in industrialised countries  91.7%  Strong 
1.3.2. We recommend investigating the stage of liver fibrosis, as fibrosis is the variable that independently predicts the progression of the damage, the development of complications and long-term mortality  96.7%  Strong 
1.4.1. We recommend taking into account the characteristics of the disease in the day-to-day approach to its management, as MASLD is a heterogeneous, complex, dynamic disease, modulated by genetics, metabolic disorders and the gut-liver axis  96.7%  Strong 
1.5.1. We recommend investigating for diabetes and alcohol consumption, as they are associated with an increased risk of fibrosis progression, liver decompensation and liver cancer  97.4%  Strong 
2.1.1. For all patients with suspected MAFLD, non-invasive testing is recommended to stratify their risk  98.3%  Strong 
2.1.2. The use of the serum indices Hepatitis Steatosis Index (HSI) and Fatty Liver Index (FLI) is recommended for the detection of steatosis  91.7%  Weak 
2.1.3. We recommend not to taking into account the normality of transaminases, as it does not correlate with the diagnosis or severity of MASLD  91.7%  Strong 
2.1.4. The use of ultrasound is recommended as the imaging test of choice for the study of chronic liver disease, although its sensitivity is limited for the detection of MASLD  92.5%  Strong 
2.1.5. When available, the Controlled Attenuated Parameter (CAP) is recommended to quantify steatotic liver disease  84.2%  Weak 
2.1.6. We recommend using proton density fat fraction by magnetic resonance imaging (PDFF-MRI) as the reference test to quantify steatotic liver disease  92.5%  Strong 
2.2.1. Further studies are recommended to validate the impact of serum markers of steatohepatitis on clinical practice  96.7%  Strong 
2.3.1. The use of serum fibrosis indices is recommended as a first approach for the exclusion of significant fibrosis in patients with suspected MASLD, especially in those with risk factors such as diabetes, immune-mediated diseases, obesity and metabolic syndrome  98.3%  Strong 
2.3.2. The use of non-invasive methods such as FIB-4, NFS and HFS is recommended, as they are validated in the population with MASLD and have a high diagnostic efficiency, although FIB-4 is the most used  92.5%  Strong 
2.3.3. We recommend the sequential combination of non-invasive indices, such as FIB-4/NFS/HFS and transient elastography (TE) or ELF, as they have demonstrated high diagnostic and risk stratification capacity  96.7%  Strong 
3.1.1. The use of lipidomics- or proteomics-based approaches as screening tools is not recommended, as they do not improve the diagnostic performance of FIB-4  71%  Strong 
3.1.2. We recommend validating the OWLiver diagnostic algorithm in the Spanish population as a one-step diagnostic method, as it has been validated in the NIMBLE project for the diagnosis of steatohepatitis, and included in the MASEF biomarker for the diagnosis of steatohepatitis at risk of progression in a single step  81.6%  Strong 
3.1.3. We recommend that further studies be conducted to validate the utility of the SomaScan proteomic algorithm SomaSignal for the detection of advanced liver fibrosis in MASLD before its implementation in clinical practice  85.5%  Strong 
3.2.1. The use and availability of non-invasive methods for the detection of MASLD with liver fibrosis, such as FIB-4 and VCTE, is recommended in primary care and other healthcare units for patients at risk of MASLD  93.3%  Strong 
3.2.2. The use of a combination of diagnostic methods such as FIB-4 together with second-line methods such as transient elastography or ELF is recommended, as it is a validated, cost-effective strategy, and should be available in clinics that treat patients at high risk for MASLD  93.3%  Strong 
4.1.1. We recommend investigating MASLD in patients at cardiovascular risk, as MASLD is associated with an increase in non-fatal cardiovascular disease  91.7%  Strong 
4.1.2. We recommend intensifying cardiovascular risk prevention in patients with MASLD, with special emphasis on patients who are young at diagnosis and those with advanced fibrosis  87.5%  Strong 
4.3.1. We recommend intensifying cardiovascular and extrahepatic cancer prevention in patients with MASLD without cirrhosis, as there is a higher mortality rate associated with higher cardiovascular risk and the development of extrahepatic cancer  96.7%  Strong 
4.3.2. We recommend intensifying the prevention of liver decompensation and hepatocellular carcinoma in patients with MASLD and cirrhosis, as in patients with cirrhosis, mortality risk is associated with the development of hepatocellular carcinoma and complications of liver cirrhosis  88.3%  Strong 
4.4.1. In patients with MASLD without fibrosis, assessment every three years with non-invasive methods of fibrosis indices (FIB-4, HFS; NFS) is recommended  85.8%  Weak 
4.4.2. In patients with significant fibrosis (≥ F2) assessment is recommended every year  92.5%  Weak 
4.4.3. In patients with advanced fibrosis (F3-F4), hepatoportal ultrasound is recommended every six months to screen for hepatocellular carcinoma (HCC) and the development of portal hypertension  87.5%  Strong 
4.5.1. Early detection of MASLD is recommended in all individuals with type 2 diabetes  95.8%  Strong 
4.5.2. Monitoring for the development of diabetes in patients with MASLD is recommended, as individuals without diabetes with MASLD and significant fibrosis show an increased risk of developing type 2 diabetes  95.8%  Weak 
4.5.3. We recommend monitoring for the development of hypertension, as normotensive individuals with MASLD and significant fibrosis show an increased risk of developing hypertension  81.7%  Weak 
4.6.1. Early diagnosis of MASLD is recommended in all people with obesity  94.2%  Strong 
4.6.2. We recommend assessing nutritional status in all patients with MASLD, especially those on the liver transplant waiting list  94.2%  Strong 
4.6.3. In patients with obesity and MASLD, we recommend assessing comorbidities such as insulin resistance, polycystic ovary syndrome and obstructive sleep apnoea-hypopnoea syndrome  87.5%  Strong 
5.1.1. We recommend that therapeutic goals pursue the regression of fibrosis with the consequent positive impact on prognosis  96.6%  Strong 
5.1.2. We recommend that a reduction in the rate of hepatocellular carcinoma (HCC) development, early detection and prevention of progression to cirrhosis and liver decompensation be considered as objectives with a high impact on patient quality of life and survival  99.2%  Strong 
5.2.1. Lifestyle modification with a low-calorie Mediterranean diet and moderate aerobic physical exercise is recommended with the goal of weight loss  93.3%  Strong 
5.2.2. We recommend promoting 10% loss of body weight through lifestyle changes, with diet and exercise, as this is accompanied by an improvement in steatotic liver disease, steatohepatitis and fibrosis in patients with MASLD  98.3%  Strong 
5.2.3. We recommend that the macronutrient content of the diet focus on limiting the intake of ultra-processed products, saturated and trans fats, sugary drinks and alcohol  97.5%  Strong 
5.2.4. We recommend following a Mediterranean-style diet  97.5%  Strong 
5.2.5. We recommend doing regular physical exercise, both aerobic and resistance, moderate physical activity, 30−60 min a minimum of 3−5 times a week, as this works together in tandem with a balanced diet to achieve the planned goals of changes in body composition and cardiometabolic and liver health  96.6%  Strong 
5.3.1. To treat hyperglycemia, we recommend considering drugs with a beneficial effect on MASLD (GLP-1 receptor agonist, pioglizatone, SGLT-2 inhibitor)  86.6%  Strong 
5.3.2. We recommend considering adding drugs with cardiovascular benefits, such as GLP-1RA, SGLT2 inhibitors and pioglitazone  89.1%  Strong 
5.3.3. The use of statins is recommended to treat dyslipidaemia associated with the aim of reducing cardiovascular risk  98.3%  Strong 
5.4.1. The use of drugs that promote fibrosis regression such as resmetirom and semaglutide is recommended when available  96.7%  Strong 
5.4.2. Drugs used in the management of comorbidities such as statins, metformin or vitamin E are not recommended for the purpose of improving fibrosis, as they have not demonstrated efficacy in the regression of fibrosis unequivocally  99.2%  Strong 
5.4.3. Pioglitazone is recommended for the treatment of MASLD in patients with diabetes without liver cirrhosis, risk of heart failure or grade 2 obesity  93.3%  Strong 
6.1.1. In all patients with MASLD, a detailed medical history is recommended to rule out comorbidities, as well as other causes of disease such as viral hepatitis or haemochromatosis  97.5%  Strong 
6.1.2. Universal access for primary care physicians to steatosis and fibrosis calculators, abdominal ultrasound, direct laboratory determination of fibrosis indices, and transient elastography is recommended for stratifying the risk of MASLD-fibrosis  87.4%  Strong 
6.1.3. We recommend that patients with transient elastography values ≥8 kPa or ELF > 9.8 be referred to hepatology to rule out advanced fibrosis and initiate screening for hepatocellular carcinoma and portal hypertension  95.8%  Strong 
6.1.4. Vaccination against hepatitis A and B is recommended for patients with MASLD  82.4%  Weak 
6.1.5. Initial assessment for cardiometabolic risk and extrahepatic cancer is recommended to design a personalised care and monitoring plan according to the risk  89.1%  Strong 
6.2.1. It is recommended that multidisciplinary referral protocols be agreed on between levels in each health area  97.5%  Weak 
6.2.2. Referral to endocrinology or internal medicine is recommended for people with type 2 diabetes with poor metabolic control (HbA1c > 8.5%) and/or severe complications of diabetes (target organ damage), severe obesity, treatment-resistant hypertension, SAHS and severe dyslipidaemia, as well as acute complications of diabetes after optimised treatment in primary care  84.9%  Strong 
6.3.1. Referral to gastroenterology/hepatology is recommended for all patients at risk of disease progression, i.e., patients with steatohepatitis and significant fibrosis or advanced fibrosis, as well as all patients with advanced chronic liver disease  95.8%  Strong 
6.3.2. Screening of at-risk patients using non-invasive, methods in two steps is recommended (FIB-4/NFS/HFS + ELF/OWLiver/VCTE), as it is cost-effective through reducing the disease burden in hepatology units and therefore healthcare expenditure  85.7%  Strong 
6.3.3. We recommend referring to hepatology for accurate evaluation of liver damage and assessment of the risk of progression, as well as promoting early intervention in complications by optimising treatment  95.8%  Strong 
6.4.1. In cases of low risk of fibrosis, re-assessment using non-invasive markers is recommended every 2−3 years, and in cases of significant fibrosis, annual follow-up is recommended  95.8%  Strong 
6.4.2. In cases of cirrhosis, follow-up every six months is recommended to assess the progression of portal hypertension and screening for hepatocarcinoma  98.3%  Strong 
6.4.3. In all cases, screening for and monitoring of comorbidities is recommended, as well as promoting smoking cessation and avoiding alcohol consumption, recommending moderate aerobic physical exercise and a healthy diet, and reinforcing adherence to treatment  97.5%  Strong 
6.5.1. We recommend that the minimum core members of the multidisciplinary team be the primary care physician and nurse, the internal medicine specialist, the endocrinologist and the gastroenterologist or hepatologist. The first three are key for prevention and identifying people at risk for MASLD and their assessment, including estimating fibrosis risk, and managing risk factors and associated comorbidities. The hepatologist should be responsible for further assessment of liver disease and management of advanced liver disease. Depending on the needs, available resources and the organisation, other healthcare professionals may form part of these teams.  89.9%  Strong 
6.5.2. The multidisciplinary approach requires that the roles of all healthcare professionals be explained and the patient's reference clinical representative be identified. Systematic meetings on clinical and organisational content should also be planned.  96.6%  Strong 
Concept and definition of metabolic dysfunction-associated steatotic liver disease

Since the early 2000s, various proposals have been made to change the international name of this disease. Until 2020, in the absence of a general consensus, non-alcoholic fatty liver disease (NAFLD) was the name in common use. In recent years, the term “metabolic dysfunction-associated fatty liver disease” (MASLD) has gained ground to highlight the importance of metabolic risk factors in the development and progression of liver disease, even among patients with other liver diseases.4 The proposal for this new name was motivated by the need for a non-exclusive definition, as the term "non-alcoholic" overemphasises the lack of alcohol consumption. The aim is also to avoid the stigma of the word fatty and, last of all, give importance to metabolic dysfunction as a central part of the pathogenesis, which is underestimated in the current definition.5 The proposed name in Spanish, "esteatosis hepática metabólica" (EHmet) (literally, "metabolic hepatic steatosis"), was defined in a consensus conference of the Asociación Española para el Estudio del Hígado (AEEH) [Spanish Association for the Study of the Liver].6 The term "steatotic liver disease" (SLD) would be translated into Spanish as "esteatosis hepática" (literally "hepatic steatosis) or "hígado graso" [fatty liver], which would cover the entire spectrum of disease from MASLD to alcoholic liver disease (ALD). From this, the term metabolic and alcohol-related/associated liver disease (Met-ALD) was coined, which combines the two aetiologies.7

Recommendation 1.1.1: in Spanish, we recommend the use of the term "esteatosis hepática metabólica" [metabolic hepatic steatosis] and its acronym EHmet (level of evidence [LoE]: 4; degree of recommendation: strong; degree of consensus: 93.3%).

Recommendation 1.1.2: in English, the use of the term metabolic dysfunction-associated steatotic liver disease (MASLD) is recommended (LoE: 4; degree of recommendation: strong; degree of consensus: 93.3%).

What is the prevalence of metabolic dysfunction-associated steatotic liver disease and which populations are at higher risk?

It is estimated that between 17% and 46% of European adults suffer from MASLD, the average being 25–30 %. MASLD affects people of all ages, including children.8 The condition is directly related to calorie intake, lack of physical activity and obesity. The prevalence of MASLD is therefore very high in people who have these risk factors. Steatohepatitis occurs in 20–25 % of people with MASLD (1.5–6.5 % of the general population). Advanced fibrosis occurs in 1.5% of the general adult population and up to 15% of people with type 2 diabetes (T2DM). The prevalence is 70% in patients with T2DM, 90% in those with grade 3 obesity, 60–70 % in those with grade 2 obesity and 50–60 % in people with high blood pressure or hyperlipidaemia.9 Of those with MASLD, 20–25 % have a standard body weight, and its worldwide geographical distribution places around 25% in Malaysia or Pakistan and more than 50% in Austria, Mexico and Sweden. The prevalence of MASLD increases with age, and its association with genetic variants and ethnicity has been noted. It tends to affect more individuals carrying the GG genotype of the PNPLA3 gene and those of Asian and Hispanic origin, and its prevalence is much lower in individuals of African origin. For all of the above, early detection of MASLD is currently recommended in patients at risk, and more specifically in those at risk of developing steatohepatitis and/or fibrosis.10 These risk categories include two large groups: 1) people with chronic abnormal liver biochemistry (over six months); and 2) people with T2DM, individuals with overweight/obesity, subjects with metabolic syndrome and those with cardiovascular disease, even with normal liver biochemistry.11 Patients with type 1 diabetes mellitus (T1DM) could be another target population, but it is too early to make a clear recommendation, unless it is associated with obesity or other risk factors such as those listed above.

Recommendation 1.2.1: screening for MAFLD is recommended in patients with risk factors and especially those at risk of developing steatohepatitis and fibrosis (diabetes, obesity, high blood pressure, metabolic syndrome or kidney or cardiovascular disease), regardless of transaminase levels (LoE: 1; degree of recommendation: strong; degree of consensus: 95.8%).

Concepts of prevalent chronic liver disease and significant liver fibrosis

MASLD has become a major public health problem worldwide, and specifically also in Spain, where it is estimated to affect 25% of the population.12,13 The importance of assessing the degree of fibrosis lies in its perception as a variable with the greatest impact on damage progression, the development of complications and long-term mortality. Significant fibrosis is understood as that equal to or greater than F2 in the liver biopsy and/or greater than 8 Kpa in liver elastography using Fibroscan®.

Although the exact prevalence of fibrosis in the general population is not known, a very recent study which combines data from a large population and a cohort of patients diagnosed with MASLD by liver biopsy, estimates that the prevalence of MASLD with significant fibrosis and cirrhosis in the Spanish adult population is 2.03% (95% CI: 0.29–5.98) and 0.70% (95% CI: 0.10–4.95), respectively.10 Being male, central obesity and having T2DM, high triglyceride levels, low HDL cholesterol and elevated aspartate aminotransferase/alanine aminotransferase ratio (AST/ALT) are independently associated with increased liver stiffness. It has also been concluded that men over 50 years of age, postmenopausal women and people with multiple cardiometabolic risk factors make up the population at greatest risk of progressive fibrosis and the development of cirrhosis and its complications.

Recommendation 1.3.1: we recommend that patients with suspected liver disease be investigated for the presence of MASLD, as MASLD is the most common cause of chronic liver disease in industrialised countries (LoE 2; degree of recommendation: strong; degree of consensus: 91.7%).

Recommendation 1.3.2: we recommend investigating the stage of liver fibrosis, as fibrosis is the variable that independently predicts the progression of the damage, the development of complications and long-term mortality (LoE 2; degree of recommendation: strong; degree of consensus: 96.7%).

Pathogenesis of metabolic dysfunction-associated steatotic liver disease. Why does fat accumulate in the liver? Why does fibrosis occur?

MASLD is a heterogeneous, complex, dynamic disease modulated by genetics, metabolic disorders and the gut-liver axis. It comprises a heterogeneous group of conditions characterised by the accumulation of fat in the liver. Simple steatotic liver disease is defined by the presence of excess fat, typically macrovesicular in at least the 5% of hepatocytes. Steatotic liver disease is closely linked to being overweight, obesity, metabolic syndrome and insulin resistance. Therefore, MASLD can be considered the hepatic expression of metabolic syndrome.14,15

In states of insulin resistance, ectopic fat deposition (visceral fat) occurs with a progressive accumulation of triglycerides in hepatocytes. Triglycerides are not hepatotoxic in themselves, but in some patients this excess liver fat evolves into steatohepatitis (metabolic dysfunction-associated steatohepatitis [MASH]), which is characterised by the presence of hepatocellular damage in the form of ballooned hepatocytes (necrosis), predominantly lobular inflammation and fibrosis. Fibrosis, which is initially pericellular, can progress to bridging fibrosis and cirrhosis, which is a risk factor for the development of hepatocellular carcinoma. Fat accumulation in hepatocytes can induce metabolic stress, oxidative stress and endoplasmic reticulum stress (lipotoxicity). The lipotoxicity of triglycerides accumulated in hepatocytes, together with the activation of the innate immune system, are the main pathogenic mechanisms of MASLD, and lead to the recruitment of macrophages, dendritic cells and lymphocytes, which contribute to perpetuating a chronic inflammatory and profibrotic state. In turn, injury or death of hepatocytes releases cellular signals to try to repair the liver damage, which leads to inflammation, vascular remodelling, fibrogenesis and accumulation of hepatic epithelial cells.16

Genetic, epigenetic and environmental factors have been described that may generate a predisposition to the development of MASLD. Studies in twins suggest that hereditary factors explain up to half of the interindividual differences in the prevalence of steatohepatitis and cirrhosis.17 Some polymorphisms in genes that regulate the lipid content of adipocytes (PNPLA3 I148 M, TM6SF2) promote liver damage.18 Epigenetic factors, such as over- or under-nutrition during pregnancy, can lead to overexpression of genes related to energy metabolism, predisposing to obesity, metabolic syndrome and metabolic liver disease. These same factors can alter the microbiome and lead to a proinflammatory state due to increased intestinal permeability, as well as the production of lipopolysaccharides and other cytokines and hepatotoxic factors.19

Recommendation 1.4.1: we recommend taking into account the characteristics of the disease in the day-to-day approach to its management, as MASLD is a heterogeneous, complex, dynamic disease, modulated by genetics, metabolic disorders and the gut-liver axis (LoE: 2; degree of recommendation: strong; degree of consensus: 96.7%).

What factors influence the rates of progression of fibrosis and hepatic decompensation?

The rates of progression of fibrosis and hepatic decompensation vary according to the underlying severity of the disease, as well as genetic, environmental and individual determinants and associated comorbidities.7 A study by Vilar-Gómez found that in patients with advanced fibrosis the risk of progression to decompensation was increased in those suffering from diabetes, as well as in those with moderate alcohol consumption, and inversely with fatty infiltration in the liver.20 A recently conducted study of 2,227 individuals with MASLD, of whom 9% reported low alcohol consumption and 14% moderate alcohol consumption (below 30 g of alcohol per day in men and 20 g of alcohol per day in women), showed that moderate alcohol consumption is independently associated with significant fibrosis and steatohepatitis at risk of progression.21

Recommendation 1.5.1: we recommend investigating for diabetes and alcohol consumption, as they are associated with an increased risk of fibrosis progression, liver decompensation and liver cancer (LoE 2; degree of recommendation: strong; degree of consensus: 97.4%).

Detection of metabolic dysfunction-associated steatotic liver diseaseHow to detect the presence of metabolic dysfunction-associated steatotic liver disease?

Normal transaminase levels are not, in isolation, related to the stage of MASLD. A recent systematic review showed that 90% of patients with cirrhosis would not have been diagnosed using the usual liver profile tests.22

Ultrasonography is the imaging test of choice for the detection of MASLD due to its wide availability, low cost and safety. However, its main limitations are its limited sensitivity for the detection of mild steatotic liver disease (it does not detect steatosis if it is < 30%) or in individuals with a poor acoustic window due to obesity, and its inability to differentiate between simple steatotic liver disease and steatohepatitis. Even so, it is part of the assessment of every patient with suspected liver disease. Its specificity is excellent (>90%) in the presence of signs of portal hypertension (intra-abdominal collateral circulation, splenomegaly) and/or liver surface nodularity, even in compensated patients.23

Various serological indices have been developed to predict the existence of steatotic liver disease, including the Fatty liver index (FLI), triglyceride glucose index, NAFLD-Liver Fat Score, Hepatic Steatosis Index (HSI), and SteatoTest, among others (these four can be calculated at https://www.mdapp.co/hepatology/). The most widely used and best validated are the HSI and the FLI.24 FLI values below 30 allow steatotic liver disease to be ruled out with a likelihood ratio of 0.2, while FLI values greater than or equal to 60 allow steatotic liver disease to be inferred with a likelihood ratio of 4.3.

An HSI of less than 30 indicates that MASLD can be ruled out (with a negative likelihood ratio of up to 0.186), while an HSI of 36 or more indicates that MASLD is present (with a positive likelihood ratio starting at 6.069). Diagnostic reliability is satisfactory with areas under the curve of 0.80−0.92, with a high positive predictive value (99%) and acceptable sensitivity (61–80%). Their main limitation lies in their inability to distinguish between different degrees of steatosis. The Controlled Attenuated Parameter (CAP) included in Fibroscan® allows the detection of steatotic liver disease with high certainty when the result is >258−262 dB/m, and should be corrected upwards in patients with diabetes or obesity.25 Proton density fat fraction by magnetic resonance imaging (PDFF-MRI) is the reference test to assess steatotic liver disease in MASLD, as it has demonstrated superiority over liver biopsy and quantification of fatty infiltration.26

Recommendation 2.1.1: for all patients with suspected MASLD, we recommend non-invasive tests to stratify their risk (LoE: 2; degree of recommendation: strong; degree of consensus: 98.3%).

Recommendation 2.1.2: the use of serum indices HSI and FLI is recommended for the detection of steatotic liver disease (LoE: 3; degree of recommendation: weak; degree of consensus: 91.7%).

Recommendation 2.1.3: we recommend not taking into account the normality of transaminases, as it does not correlate with the diagnosis or severity of MASLD (LoE: 1; degree of recommendation: strong; degree of consensus: 91.7%).

Recommendation 2.1.4: the use of ultrasound is recommended as the imaging test of choice for the study of chronic liver disease, although its sensitivity is limited for the detection of MASLD (LoE: 2; degree of recommendation: strong; degree of consensus: 92.5%).

Recommendation 2.1.5: when available, it is advisable to use CAP to quantify steatotic liver disease (LoE: 2; degree of recommendation: weak; degree of consensus: 84.2%).

Recommendation 2.1.6: we recommend using proton density fat fraction by magnetic resonance imaging (PDFF-MRI) as reference test to quantify steatotic liver disease (LoE: 2; degree of recommendation: strong; degree of consensus: 92.5%).

How to detect steatohepatitis?

Non-invasive detection of MASLD is an unmet need, as results have not been robust enough to date to displace liver biopsy as the main detection method. Serum markers evaluated to predict the presence of steatohepatitis are related to the pathophysiological pathways of the disease (apoptosis/cell death, inflammation and oxidative stress). The most studied is fragmented cytokeratin 18, a degradation product of hepatocyte apoptosis.27 Other markers studied include fibroblast growth factor 21 (FGF21) and adiponectin. However, these have demonstrated very low diagnostic accuracy. Oxidative stress and inflammation markers such as interleukin 6 (IL-6) and tumour necrosis factor−〈 (TNΦ〈) have also been studied. Metabolomics-based studies allowed a Spanish group to develop the OWLiver Test, which differentiates steatohepatitis from simple steatotic liver disease with good sensitivity and specificity (ROC greater than 0.8 in patients with diabetes and obesity). The limitations of use in other ethnic groups and in patients with uncontrolled diabetes have recently been resolved by incorporating transaminases and glycated haemoglobin (HbA1c) into the previous diagnostic algorithm.28 Imaging biomarkers based on magnetic resonance imaging such as DeMILI (NASH-MRI) have similarly reported promising results.29 Metabolomics tests such as OWLiver® and MRI-based imaging markers-DeMILI show good correlation with biopsy for the diagnosis of steatohepatitis.

However, the gold standard in the diagnosis of steatohepatitis continues to be liver biopsy.

Recommendation 2.2.1: further studies are recommended to validate the impact of serum markers of steatohepatitis in clinical practice (LoE: 4; degree of recommendation: strong; degree of consensus: 96.7%).

How to detect fibrosis?

Liver fibrosis has traditionally been classified according to four levels of histological severity: F1 mild fibrosis; ≥F2 significant fibrosis; ≥F3 advanced fibrosis; and F4 liver cirrhosis. Fibrosis is an independent factor influencing prognosis, as well as the progression of liver disease, cardiovascular risk and all-cause mortality.30

Serum markers of liver fibrosis

  • a)

    Indirect markers related to liver function, such as albumin, bilirubin, AST and ALT. Among them are fibrosis-4 (FIB-4), NAFLD Fibrosis Score (NFS) and Hepamet Fibrosis Score (HFS).

  • b)

    Direct markers, which are components of the extracellular matrix, such as hyaluronic acid, matrix metalloproteinases and collagen subtypes.31 The most representative is Enhanced Liver Fibrosis (ELF).

The most studied and validated clinical-analytical indices are FIB-4, NFS and HFS. The HFS, recently developed here in Spain, has shown a significantly higher diagnostic odds ratio than the FIB-4 and NFS to rule out and/or diagnose advanced fibrosis, regardless of the presence or absence of diabetes, BMI and age group,32 and fewer patients with indeterminate results (20% vs 30%). The combined use of HFS, NFS and FIB-4 enables the correct exclusion of patients without advanced fibrosis, which is why they are the methods of choice in primary care or in non-hepatology clinics. Patients in the grey area (combined index >0 but <3, in other words with one or two methods abnormal) may benefit from a second non-invasive method such as ELF or OWLiver, which would help define which patients are at risk of advanced fibrosis.

Image-based fibrosis markers

  • a)

    Vibration-controlled transient elastography (VCTE, Fibroscan®) with controlled attenuation parameter (CAP) measurement can assess steatosis and fibrosis simultaneously.33 Transient elastography (TE) has demonstrated great diagnostic utility for the prediction of advanced fibrosis/liver cirrhosis and has demonstrated its cost-effectiveness in primary care. When liver biopsy is used as the reference standard, TE provides high sensitivity and negative predictive values for the detection of cirrhosis greater than 95%.34 The recommended TE cut-off points to rule out advanced fibrosis and cirrhosis vary from 8 to 13 kPa, depending on the underlying aetiology.35 It should be noted that the medium-term risk of liver events in patients with TE below these parameters is very low (for MASLD, the five-year risk of liver event with FibroScan® <12 kPa is 0.3%).36

  • b)

    Ultrasound-based: acoustic radiation force impulse elastography and shear wave elastography. The main theoretical advantages of these techniques (which are incorporated into conventional ultrasound devices) compared to TE by FibroScan® are the higher success rate in obese patients and the ability to assess liver morphology in the same examination.

Some authors have proposed strategies that combine serum markers with TE.37 The sequential combination reduces the area of uncertainty and maintains good sensitivity and specificity38; the combination of FIB-4 or NFS with ELF is among the recommendations of the United Kingdom's National Institute for Health and Care Excellence for the diagnosis of advanced fibrosis in patients with NAFLD.39

Recommendation 2.3.1: the use of serum fibrosis indices is recommended as a first approach to rule out significant fibrosis in patients with suspected MASLD, especially in those with risk factors such as diabetes, immune-mediated diseases, obesity and metabolic syndrome (LoE: 2; degree of recommendation: strong; degree of consensus: 98.3%).

Recommendation 2.3.2: the use of non-invasive methods such as FIB-4, NFS and HFS is recommended, as they are validated in the population with MASLD and have a high diagnostic efficiency, although FIB-4 is the most used (LoE: 2; degree of recommendation: strong; degree of consensus: 92.5%).

Recommendation 2.3.3: we recommend the sequential combination of non-invasive indices, such as FIB-4/NFS/HFS and TE or ELF, as they have demonstrated high diagnostic and risk stratification capacity (LoE: 2; degree of recommendation: strong; degree of consensus: 96.7%).

DiagnosisWhat role do omics and metabolomics play in the diagnosis of metabolic dysfunction-associated steatotic liver disease?

Metabolomics studies have shown alterations in the amino acid profile, in lipid species, including circulating fatty acids, triglycerides, phospholipids and bile acids,40 as well as in metabolites derived from the gut-liver axis, such as short-chain fatty acids, bile acids and aromatic amino acids. These have emerged as potential biomarkers as they play a role in modulating the pathological process of MASLD.41–43

The OWLiver diagnostic algorithm has been validated in the NIMBLE project for the diagnosis of MASLD and in the new MASEF biomarker combining OWLiver, BMI and AST/ALT for the diagnosis of steatohepatitis at risk of progression.44,45 A diagnostic capacity of 0.76 (95% CI: 0.72−0.79) was demonstrated in an estimation cohort of 790 patients and 0.79 (95% CI: 0.75−0.83) in a validation cohort of 565 cases.46 Furthermore, the one-step screening strategy with the OWLiver Panel has high accuracy in detecting steatohepatitis and steatohepatitis at risk of progression in subjects at high risk of MASLD.47

SomaScan's SomaSignal proteomic algorithm has been validated for the detection of advanced liver fibrosis in MASLD. In patients with significant fibrosis (>F2) no superiority of omics-based methods has been demonstrated compared to available methods such as FIB-4 (AUROC ranging from 0.61 [95% CI: 0.54−0.67] for CAP-VCTE and 0.81 [0.75−0.86] for SomaSignal, similar to FIB-4). In patients with advanced fibrosis (>F3) SomaSignal (AUC 0.90 [95% CI: 0.86−0.94]) demonstrated excellent performance with an NNT of 4 (95% CI: 4–5),48 data which coincide with those reported by Sanyal et al.49

Recommendation 3.1.1: the use of lipidomics- or proteomics-based approaches as screening tools is not recommended, as they do not improve the diagnostic performance of FIB-4 (LoE 2; degree of recommendation: strong; degree of consensus: 71%).

Recommendation 3.1.2: the OWLiver diagnostic algorithm should be validated in the Spanish population as a one-step diagnostic method, as it has been validated in the NIMBLE project for the diagnosis of steatohepatitis and included in the MASEF biomarker for the diagnosis of steatohepatitis at risk of progression in a single step (LoE: 2; degree of recommendation: strong; degree of consensus: 81.6%).

Recommendation 3.1.3: it is advisable to promote new studies to validate the utility of the SomaScan proteomic algorithm SomaSignal for the detection of advanced liver fibrosis in MASLD before its implementation in clinical practice (LoE 2; degree of recommendation: strong; degree of consensus: 85.5%) Table 1.

What tests should be available to primary care and other specialities caring for patients at high risk for metabolic dysfunction-associated steatotic liver disease?

Primary care is the gateway for patients into the healthcare system, allowing patients at risk for MASLD to also be treated by endocrinologists, internal medicine specialists, dermatologists, psychiatrists, cardiologists, neurologists or rheumatologists. The techniques that should be available at this level of care have to be able to diagnose steatotic liver disease and stratify the risk of advanced fibrosis. For diagnosis, liver ultrasound should be used to rule out hyperechoic liver and non-invasive methods for steatotic liver disease, such as the "fatty liver index" (FLI).50 In addition, first-line non-invasive methods for early detection of liver fibrosis51 such as FIB-4, NAFLD fibrosis score and HFS should be confirmed by measuring liver stiffness (VCTE transient elastography) or through biochemical analysis using ELF.

According to the NASH-PI study,51 the use of VCTE in primary care is cost-effective, as it reduces the level of expenditure and patient referrals. Therefore, Fibroscan should be available in primary care health centres and/or in other healthcare units that deal with high-risk patients.52 Confirmation methods such as liver biopsy, magnetic resonance imaging (MRI) or omics-based methods will be reserved for care in gastroenterology and hepatology units.

Recommendation 3.2.1: the use and availability of non-invasive methods for the detection of MASLD with liver fibrosis such as FIB-4 and VCTE in primary care and other care units for patients at risk of MASLD is recommended (LoE: 1; degree of recommendation: strong; degree of consensus: 93.3%).

Recommendation 3.2.2: the use of a combination of diagnostic methods such as FIB-4 together with second-line methods such as transient elastography or ELF is recommended, as it is a validated, cost-effective strategy and should be available in clinics that treat patients at high risk for MASLD (LoE: 1; degree of recommendation: strong; degree of consensus: 93.3%).

ComplicationsAre cardiovascular events increased in patients with metabolic dysfunction-associated steatotic liver disease?

Patients with MASLD have a higher mortality rate compared to the rest of the population.53 The main cause of death is cardiovascular disease (CVD).54 It is not yet clear whether the increased risk of CVD is due to the metabolic disorders associated with MASLD or whether MASLD poses an additional risk independently. A meta-analysis including 34,043 individuals with NAFLD (MASLD) followed for a median of 6.9 years showed that MASLD was associated with a 64% increased risk of CVD after adjusting for cardiovascular risk factors (CVRF).55 This finding has recently been challenged in a large observational study of 18 million European adults, in which no association between MASLD and CV events was found in a primary care setting.56 However, there are contradictory results on the relationship between MASLD and cardiovascular mortality, with results in favor57–59 and against.60,61 These conflicting results may be attributed to several factors, including heterogeneity in the studied populations, prevalence of CVRF, age at MASLD diagnosis, modality of MASLD diagnosis, duration of follow-up, and stage of fibrosis, as the positive association may be limited to patients with advanced fibrosis.59,61 Patients diagnosed at a younger age would have a less promising clinical profile, with a greater loss of life expectancy and a worse long-term prognosis compared to older patients.

The association of MASLD and CVD has been assessed in a cohort of patients diagnosed with MASLD without underlying CVD, based on the Swedish National Patient Registry (1987–2016), of 10,023 patients, matched 10:1 in age, gender and municipality with individuals from the general population (n = 96,313). The risk of CVD was 2.6 times higher in patients with MASLD than in controls, higher for non-fatal CVD (HR = 3.71). Life expectancy was, on average, 2.8 years less than controls, with the greatest loss of life years when diagnosed between the ages of 40 and 60.62

Recommendation 4.1.1: we recommend investigating MASLD in patients at cardiovascular risk, as MASLD is associated with an increase in non-fatal cardiovascular disease (LoE: 2; degree of recommendation: strong; degree of consensus: 91.7%).

Recommendation 4.1.2: it is advisable to intensify cardiovascular risk prevention in patients with MASLD, with special emphasis on patients who are young at diagnosis and those with advanced fibrosis (LoE: 1; degree of recommendation: strong; degree of consensus: 87.5%).

How does metabolic dysfunction-associated steatotic liver disease influence the prevalence of liver and extrahepatic cancers?

The prevalence and incidence of hepatocellular carcinoma (HCC) is increasing worldwide in direct relation to the increase in the prevalence and incidence of MASLD. MASLD increases the incidence of both liver cancers, especially HCC, and extrahepatic cancers.63 Although liver cirrhosis is the main factor related to the development of HCC, the risk of liver cancer is increased in patients with MASLD without cirrhosis. In fact, in patients with HCC recruited over 12 years, there was a significant number of patients with MASLD without cirrhosis (F0-F2).64 The incidence of hepatocellular carcinoma in patients with MASLD without liver cirrhosis is higher compared to other aetiologies of liver disease. The presence of T2DM has been estimated to double the risk of HCC and increase the risk of death from HCC 1.5-fold, while the presence of metabolic syndrome along with T2DM increases the risk of HCC 5-fold. Lastly, obesity (BMI > 30 kg/m2) doubles the risk of HCC, while a BMI > 35 kg/m2 quadruples the risk.65,66

The risk of extrahepatic cancer is also higher, and an increase has been seen in cancer of the uterus (RR = 2.3; 95% CI: 1.4–4.1), stomach (RR = 2.3; 95% CI: 1.3–4.1), pancreas (RR = 2.0; 95% CI: 1.2−3.3) and colon (RR = 1.8; 95% CI: 1.1–2.8).67 A recent retrospective study found a statistically significant relationship among gastrointestinal cancers, but not with genitourinary or lung cancers.68 A large meta-analysis was also recently carried out of 10 cohort studies with 182,202 middle-aged individuals (24.8% with MASLD) and 8,485 incident cases of extrahepatic cancers at different sites during a median follow-up of 5.8 years. In it, NAFLD was significantly associated with a 1.5- to 2-fold increased risk of developing gastrointestinal cancers (oesophageal, stomach, pancreatic or colorectal cancer). Furthermore, NAFLD was associated with an approximately 1.2- to 1.5-fold increased risk of developing lung, breast, gynaecological or urinary tract cancers.69

What is the main cause of death in metabolic dysfunction-associated steatotic liver disease?

Death in patients with MASLD is associated with the development of cardiovascular complications, complications of liver cirrhosis and tumours.70 In a 4-year prospective study of 1,773 adults with MASLD, the presence of advanced F3 and F4 fibrosis was found to be associated with an increased risk of complications from cirrhosis and higher mortality rates.51 Patients with F3 had a higher risk of developing cardiovascular events and extrahepatic cancer, while patients with F4 suffered higher mortality rates from liver causes.71 CVD-related death is particularly associated with coronary artery disease, myocardial dysfunction and hypertrophy, aortic valve sclerosis and cardiac arrhythmias.70,72

Recommendation 4.3.1: we recommend intensifying cardiovascular and extrahepatic cancer prevention in patients with MASLD without cirrhosis, as there is a higher mortality rate associated with higher cardiovascular risk and the development of extrahepatic cancer (LoE 2; degree of recommendation: strong; degree of consensus: 96.7%).

Recommendation 4.3.2: It is advisable to intensify the prevention of liver decompensation and hepatocellular carcinoma in patients with MASLD and cirrhosis, as in patients with cirrhosis, mortality risk is associated with the development of hepatocellular carcinoma and complications of liver cirrhosis (LoE: 1; degree of recommendation: strong; degree of consensus: 88.3%).

How often should we monitor for liver and/or extrahepatic complications?

In patients with MASLD, periodic evaluation for progression to significant fibrosis and cirrhosis is indicated. Patients with mild fibrosis (liver fibrosis indices by non-invasive methods [NIM] below the fibrosis cut-off point) should be managed in primary care and NIM should be repeated every three years. Patients with significant fibrosis should be assessed every 12 months or every six months if they show advanced fibrosis (F3) for early diagnosis of progression to cirrhosis or the development of portal hypertension or hepatocellular carcinoma.73,74 Cardiovascular risk should be assessed annually in all patients with MASLD and every six months in those with advanced fibrosis.75

The participation of patients with MASLD in all available early cancer detection or population screening programmes should be encouraged, with special emphasis on gastrointestinal and genitourinary cancer, as currently only those for colorectal, breast, and cervical cancer are established.

Recommendation 4.4.1: in patients with MASLD without fibrosis, assessment every three years with non-invasive methods of fibrosis indices (FIB-4, HFS; NFS) is recommended (LoE: 2; degree of recommendation: weak; degree of consensus: 85.8%).

Recommendation 4.4.2: in patients with significant fibrosis (≥F2) assessment is recommended every year (LoE: 2; degree of recommendation: weak; degree of consensus: 92.5%).

Recommendation 4.4.3: in patients with advanced fibrosis (F3-F4), hepatoportal ultrasound is recommended every six months to screen for HCC and the development of portal hypertension (LoE: 1; degree of recommendation: strong; degree of consensus: 87.5%).

What is the interaction between metabolic dysfunction-associated steatotic liver disease and diabetes: differential or bidirectional?

The increase in the prevalence of MASLD is related to the increase in the prevalence of metabolic syndrome, obesity and T2DM. Among patients with T2DM, the prevalence of MASLD is estimated at 40–70% and the prevalence of steatohepatitis at 22%.76 In Spain the prevalence of T2DM in the Spanish population is 13.8%,77 which would place the estimated rates of MASLD at around 5.5–9.7%. There is a demonstrated relationship between insulin resistance in people with T2DM and liver fibrosis (HR = 1.53; 95% CI: 1.1–2.2; p = 0.026).78 In most studies, patients with T2DM tend to present with more advanced stages of MASLD, particularly advanced fibrosis. A recent meta-analysis showed that DM2 is related to a higher incidence of serious liver events (cirrhosis, complications and death) (HR = 2.25; 95% CI: 1.83–2.76; p < 0.001).79 Having T2DM therefore worsens the prognosis of patients with MASLD.

In parallel, MASLD has a negative impact on T2DM, in terms of increased incidence and complications such as cardiovascular events and chronic kidney disease.80 Therefore, MASLD can be considered an emerging complication of T2DM. This idea would require early screening and treatment, using different therapeutic tools with beneficial effects on factors such as weight and insulin resistance. Since 2019, the American Diabetes Association has recommended screening for steatohepatitis and fibrosis in patients with prediabetes or T2DM with elevated ALT levels or steatosis detected by ultrasound.81 Patients without diabetes with MASLD and significant fibrosis show an increased risk of developing T2DM during follow-up.82 In addition, MASLD worsens the complications of diabetes, and in turn, diabetes worsens the prognosis of MASLD.

Recommendation 4.5.1: early detection of MASLD is recommended in all individuals with T2DM (LoE: 1; degree of recommendation: strong; degree of consensus: 95.8%).

Recommendation 4.5.2: we recommend monitoring for the development of diabetes in patients with MASLD, as individuals without diabetes with MASLD and significant fibrosis show an increased risk of developing T2DM (LoE: 2; degree of recommendation: weak; degree of consensus: 95.8%).

Recommendation 4.5.3: it is advisable to monitor for the development of hypertension, as normotensive individuals with MASLD and significant fibrosis show an increased risk of developing hypertension (LoE: 2; degree of recommendation: weak; degree of consensus: 81.7%).

What is the relationship between metabolic dysfunction-associated steatotic liver disease and obesity?

Obesity is the most common and best studied risk factor for MASLD. There are studies with biopsies from decades ago which confirmed even back then that there was a prevalence almost 10 times greater of steatohepatitis in individuals with obesity compared to patients of standard weight: 18.5% compared to 2.7%.83 In patients with BMI > 35 kg/m2, 80.2% had MASLD, 65.9% steatosis (grade 1–3) and 14.3% steatohepatitis and/or fibrosis.84 The risk increases depending on the patient's location on the spectrum between overweight and severe obesity, ranging from 57% of overweight individuals attending outpatient clinics to more than 80% of individuals with morbid obesity. The median prevalence of steatohepatitis in the obese population is 33%, varying from 10% to 56%.85 The prevalence of MASLD in obese people defined as metabolically healthy is high, ranging from 29% to 39%. Furthermore, metabolically healthy obese subjects with MASLD have twice the risk of developing metabolic disease.86 With the growing obesity epidemic, the incidence of MASLD-related HCC has increased at a rate of 9% annually.87 In the paediatric population, a recent meta-analysis has indicated a prevalence of 7.6% in children in general population studies compared to 34.2% in studies based on paediatric obesity clinics.88 There is a notably higher prevalence in male children compared to females. In a study of obese children with MASLD and obstructive sleep apnoea, the severity of hypoxaemia was associated with the severity of MASLD, particularly in relation to the stage of fibrosis.89

Many patients with advanced steatohepatitis will require liver transplantation. A higher degree of obesity is associated with a higher risk of clinical disease and decompensation while awaiting transplantation.90 Likewise, there are also higher rates of post-transplant complications, graft loss and mortality among patients with class III obesity (BMI > 40 kg/m2).91 Furthermore, the prevalence of obesity and sarcopenia among patients with steatohepatitis and cirrhosis is high; in fact, sarcopenia has consistently been identified as an independent predictor of post-transplant mortality and graft loss.91

Recommendation 4.6.1: early diagnosis of MASLD is recommended in all people with obesity (LoE: 1; degree of recommendation: strong; degree of consensus: 94.2%).

Recommendation 4.6.2: we recommend assessing nutritional status in all patients with MASLD, especially those on the liver transplant waiting list (LoE: 1; degree of recommendation: strong; degree of consensus: 94.2%).

Recommendation 4.6.3: patients with obesity and MASLD should be assessed for comorbidities such as insulin resistance, polycystic ovary syndrome and obstructive sleep apnoea-hypopnoea syndrome (LoE: 1; degree of recommendation: strong; degree of consensus: 87.5%).

TreatmentWhat therapeutic goals should be recommended and how should therapeutic measures be selected?

The therapeutic goals in the management of MASLD converge in the improvement of survival and quality of life by preventing the progression of liver disease to cirrhosis and hepatocellular carcinoma,92 cardiovascular events93 or the development of extrahepatic cancers.67 Regression of fibrosis improves patient prognosis by decreasing the rate of cirrhosis complications.94 The therapeutic goal should therefore be to achieve the regression of fibrosis.

In patients in whom fibrosis regression is not possible, long-term intervention should be considered with the aim of:

  • Decreasing the rate of hepatocarcinoma development.

  • Preventing progression to cirrhosis in non-cirrhotic patients.

  • Avoiding decompensation in patients with liver cirrhosis.

Therapeutic measures should be selected based on availability. Typically, treatment should begin with a structured lifestyle intervention based on a Mediterranean diet and physical exercise, along with improved control of metabolic or inflammatory comorbidities.

Recommendation 5.1.1: we recommend that therapeutic goals pursue the regression of fibrosis with the consequent positive impact on prognosis (LoE: 3; degree of recommendation: strong; degree of consensus: 96.6%).

Recommendation 5.1.2: we recommend that a reduction in the rate of hepatocellular carcinoma (HCC) development, early detection and prevention of progression to cirrhosis and liver decompensation be considered as goals with a high impact on patient quality of life and survival (LoE: 4; degree of recommendation: strong; level of consensus: 99.2%).

The role of lifestyle changes in weight loss: how and where to implement them?

Lifestyle changes (low-calorie diet and physical exercise) are one of the basic pillars of treatment for MASLD, as different randomised studies based on liver biopsies have shown that a sustained decrease >10% in initial weight is associated with a remission of steatotic liver disease in >90%, 50% in steatohepatitis and variable in the decrease of fibrosis.95–97 However, it has also been found that after bariatric surgery these same goals are achieved98 for a longer period, such that clear decreases have been reported of 82% in hepatic events and of 70% in the associated cardiovascular risk.99

Regarding the macronutrient composition, measures aimed at reducing both de novo lipogenesis and the percentage of intrahepatic triglycerides focus on reducing the content of saturated fats, trans fatty acids and rapidly absorbed carbohydrates and replacing them with unsaturated fats. Prototype diets, such as the DASH diet and in particular the Mediterranean diet, are generally considered to be the most appropriate nutritional pattern to achieve these goals, and are therefore the model of choice in numerous scientific societies.100–103

Exercise, combined with a low-calorie diet, is the form of intervention that has yielded the most results in terms of improvement in steatosis and remission of steatohepatitis.104,105 However, as demonstrated in different meta-analyses, exercise contributes independently to the reduction of intrahepatic fat content.106 The important thing is the regularity and intensity of the exercise performed, with no differences between the practice of aerobic or resistance exercise.107 Moderate physical activity, 30−60 min, performed at least three times a week, is sufficient to achieve improvement goals in MASLD.108

Recommendation 5.2.1: lifestyle modification with a low-calorie Mediterranean diet and moderate aerobic physical exercise is recommended with the aim of losing weight (LoE: 1; degree of recommendation: strong; degree of consensus: 93.3%).

Recommendation 5.2.2: we recommend promoting 10% loss of body weight through lifestyle changes, with diet and exercise, as this is accompanied by an improvement in steatotic liver disease, steatohepatitis and fibrosis in patients with MASLD (LoE: 2; degree of recommendation: strong; degree of consensus: 98.3%).

Recommendation 5.2.3: we recommend that the macronutrient content of the diet focus on limiting the intake of ultra-processed products, saturated and trans fats, sugary drinks and alcohol (LoE: 3; degree of recommendation: strong; degree of consensus: 97.5%).

Recommendation 5.2.4: we recommend following a Mediterranean-style diet (LoE: 2; degree of recommendation: strong; degree of consensus: 97.5%).

Recommendation 5.2.5: we recommend doing regular physical exercise, both aerobic and resistance, moderate physical activity, 30−60 min a minimum of 3−5 times a week, as this works together in tandem with a balanced diet to achieve the planned goals of changes in body composition and cardiometabolic and liver health (LoE: 2; degree of recommendation: strong; degree of consensus: 96.6%).

Which hypoglycaemic and lipid-lowering drugs are most appropriate?

In addition to lifestyle changes, when prescribing drug therapy to treat associated hyperglycaemia, it is advisable to select those with liver and/or cardiovascular benefits, as liver and cardiovascular problems are the main causes of death. The ideal drug in patients with T2DM and MASLD would be one that concomitantly resolves insulin resistance/hyperglycaemia and MASLD, in addition to reducing cardiovascular risk.

Pioglitazone is a drug from the thiazolidinediones group that has been shown to induce the resolution of steatohepatitis and improve fibrosis at any stage.109 In addition, it improves atherogenic dyslipidaemia and reduces cardiovascular events. Among the adverse effects, weight gain should be taken into account, but with a reduction in visceral fat, and the potential risk of heart failure and bone fracture.110 Among GLP-1 receptor agonists (GLP-1RA), liraglutide demonstrated superiority over placebo in the resolution of steatohepatitis,111 and semaglutide 0.4 mg/day also improved the resolution of steatohepatitis without worsening fibrosis. In addition, they also have cardiovascular benefits and promote weight loss.112

SGLT-2 inhibitors also have beneficial effects on weight reduction and cardiorenal benefits, and although they have shown a reduction in steatotic liver disease,113–115 there is no evidence of benefits regarding steatohepatitis and fibrosis. Other hypoglycaemic drugs have not shown benefit in MASLD.

Patients with T2DM and MASLD have a higher cardiovascular risk, so recommendations should be applied according to standard clinical practice guidelines for cardiovascular prevention. Statins are safe115 and can be prescribed to patients with non-decompensated cirrhosis. Evidence for the use of other lipid-lowering agents in patients with underlying liver disease is very limited, but fibrates, ezetimibe, omega-3 fatty acids and bile acid sequestrants can be used to treat dyslipidaemia in patients with chronic liver disease.

Recommendation 5.3.1: to treat hyperglycaemia, it is advisable to consider the use of drugs with a beneficial effect on MASLD (GLP-1RA, pioglizatone, SGLT-2 inhibitor) (LoE: 3; degree of recommendation: strong; degree of consensus: 86.6%).

Recommendation 5.3.2: it is advisable to consider adding drugs with cardiovascular benefits, such as GLP-1RA, SGLT2 inhibitor and pioglitazone (LoE: 3; degree of recommendation: strong; degree of consensus: 89.1%).

Recommendation 5.3.3: the use of statins is recommended to treat dyslipidaemia associated with the goal of reducing cardiovascular risk (LoE: 3; degree of recommendation: strong; degree of consensus: 98.3%).

Do we have drugs with proven efficacy?

Patients at risk for progression and complications typically have significant fibrosis and steatohepatitis or advanced fibrosis. Therapeutic measures should be selected based on availability, typically starting with a structured lifestyle intervention with a Mediterranean diet and physical exercise, along with improved control of metabolic or inflammatory comorbidities.

However, treatment of MASLD is an unmet need, and many drugs have not been shown to be superior to placebo; we consider drugs that achieve regression of liver fibrosis to be of proven efficacy, as such regression has been associated with a lower rate of complications.94 Emricasan, a pan-caspase inhibitor; simtuzumab, a monoclonal antibody against LOL-2; selonsertib, an ASK-1 inhibitor; cenicriviroc, a CCR2/CCR5 inhibitor and elafibranor, a dual PPAR alpha/delta agonist, were shown not to be superior to placebo in randomised clinical trials. Certain molecules used in the management of diabetes or dyslipidaemia, such as metformin or statins, have also been tested with limited success in MASLD. However, their overall impact on disease progression to liver cancer remains unclear.

Cusi et al.116 demonstrated the superiority of pioglitazone over placebo in 101 patients. Pioglitazone was associated with greater resolution of steatohepatitis and improvement in fibrosis and steatotic liver disease, but also caused body weight gain. However, treatment with pioglitazone has been associated with adverse effects, such as increased bone fractures or a possible increased risk of bladder cancer, although these findings have not been validated in recent meta-analyses.109 In fact, current evidence does not support the association of pioglitazone use with the development of bladder cancer.117 SGLT2 inhibitors demonstrated the ability to reduce fatty infiltration, but they did not improve the stage of fibrosis.118

Favourable results have been published from a one-year phase 3 trial of resmetirom in people with non-cirrhotic steatohepatitis (primarily stage 2 and 3 fibrosis), leading to its approval by the FDA. Resolution of MASH without worsening of fibrosis was achieved in 25.9% of patients in the resmetirom 80 mg group and 29.9% of those in the resmetirom 100 mg group, compared to 9.7% of those in the placebo group (p < 0.001 for both placebo comparisons). Improvement in fibrosis by at least one stage without worsening of the MASLD activity score was achieved in 24.2% of patients in the resmetirom 80 mg group and 25.9% of those in the resmetirom 100 mg group, compared to 14.2% of those in the placebo group (p < 0.001 for both placebo comparisons).119

Semaglutide, at a dose of 2.4 mg/week, showed superiority over placebo in the regression of fibrosis (37% vs 22%) and resolution of steatohepatitis (63% vs 34%); p < 0.001 in both comparisons in the ESSENCE study.

Obeticholic acid demonstrated superiority over placebo in the regression of fibrosis after 72 weeks of treatment. However, this drug was associated with adverse events such as the development of pruritus and alteration of the lipid profile, with elevated LDL and a slight decrease in HDL. By intention to treat, 23.1% of patients who received 25 mg/d of obeticholic acid achieved regression of at least one stage of fibrosis, compared to only 11.9% in the placebo group.120 However, this molecule has been withdrawn from the market in the European Union.

Molecules in development which have demonstrated superiority over placebo in phase 2 studies and continue in phase 3 programmes:

  • -

    Lanifibranor: demonstrated significant regression of at least one stage of fibrosis in 42% of 83 patients treated with 1,200 mg of lanifibranor daily versus 24% in the placebo group in a phase 2b study. It also achieved resolution of steatohepatitis in 44% compared to a 9% in the placebo group. This pan-PPAR agonist also reduced insulinaemia, basal blood glucose, glycosylated haemoglobin and triglycerides, and increased HDL cholesterol levels, while decreasing liver enzymes.121,122

  • -

    Efruxifermin: a long-acting Fc-FGF21 fusion protein which prevents proteolysis, it has shown great potential to promote fibrosis regression. In a phase 2 trial of 80 patients randomised into four arms, 50 mg/day achieved a one-stage regression of fibrosis in 62% of patients (8/13) and two stages of fibrosis in 38% (5/13), much superior to placebo.123

  • -

    Pegozafermin: in 222 patients, it showed regression of at least one stage of fibrosis in 27% compared to 7% of the placebo group, and resolution of steatohepatitis in 37% compared to 2% with placebo.124

  • -

    Survodutide: in 212 patients, it showed non-significant superiority over placebo in the regression of fibrosis (32−34% vs 22%) and resolution of steatohepatitis (43–62 % vs 14%, p < 0.001) and steatotic liver disease.125

  • -

    Efinopegdutide: in 145 patients it demonstrated superiority over semaglutide 1.0 mg/week in decreasing hepatic fatty infiltration measured by PDFF.126

  • -

    Retatrutide (GLP1-GIP-glucagon triagonist): in 98 patients (phase 2a) it showed superiority in reducing liver fat (PDFF-MRI) (–82.4%, versus placebo +0.3%) after 48 weeks of treatment.127

  • -

    In the phase 2 SYNERGY-NASH trial, which included 190 patients with steatohepatitis and moderate or severe fibrosis, tirzepatide (a dual GIP and GLP-1 agonist) was more effective than placebo at 52 weeks in resolving steatohepatitis without worsening fibrosis, but not in significantly reducing fibrosis by one stage, perhaps because of the small sample size.128

Recommendation 5.4.1: we recommend, when available, the use of drugs that promote fibrosis regression such as resmetirom and semaglutide (LoE: 1; degree of recommendation: strong; degree of consensus: 96.7%).

Recommendation 5.4.2: drugs used in the management of comorbidities such as statins, metformin or vitamin E are not recommended for the purpose of improving fibrosis, as they have not demonstrated efficacy in the regression of fibrosis unequivocally (LoE 3; degree of recommendation: strong; degree of consensus: 99.2%).

Recommendation 5.4.3: pioglitazone is recommended for the treatment of MASLD in patients with diabetes without liver cirrhosis, risk of heart failure or grade 2 obesity (LoE: 4; degree of recommendation: strong; degree of consensus: 93.3%).

Multidisciplinary managementHow should metabolic dysfunction-associated steatotic liver disease be managed in primary care?

Due to the high prevalence of MASLD, most patients are treated in primary care, so universal access to the main diagnostic and prognostic tools at this level of care is recommended.2 The importance of early diagnosis of the disease and providing patients with optimal care, which involves screening populations at the greatest risk of progression and complications, has increased the interest in guidelines or consensus documents on multidisciplinary management proposals. MASLD tends to be asymptomatic or cause nonspecific symptoms, except when diagnosed at an advanced stage; incidental findings on imaging tests are also common. The medical history should include the presence of risk factors for MASLD and other causes of steatosis or liver dysfunction, personal and family history of associated diseases, alcohol and medication intake, and risk of exposure to hepatotropic viruses. The physical examination should include data on blood pressure, weight, height, waist circumference and body mass index and possible detection of signs of advanced liver disease.129

These are tasks for MASLD care in primary care:

  • -

    Early detection and diagnosis of the disease and the study of other causes of chronic liver disease.

  • -

    Prevention and diagnosis of other infectious liver diseases.

  • -

    Assessment of fibrosis using non-invasive tests.

  • -

    The assessment of cardiovascular and renal risk.

  • -

    Early diagnosis and screening for extrahepatic cancers.

  • -

    Treatment based on lifestyle modification and control of cardiometabolic risk factors.

Automatic and systematic calculation of non-invasive fibrosis tests in at-risk populations in primary care is recommended to improve stratification and follow-up.130

To rule out significant fibrosis the following are recommended:

  • -

    Measurement of liver stiffness by transient elastography <8 kPa.

  • -

    Patented tests: ELF <9.8.

  • -

    Non-patented tests: FIB-4 <1.3 ( <2 if aged ≥ 65) or NFS < −1.455 or HFS < 0.12.

With regard to the age correction of the cut-off point to rule out significant fibrosis with FIB-4, there are new studies that insist on its importance due to the poor performance of this score in the older population, and we have therefore considered the introduction of both values in clinical practice in primary care.131

Before referring a patient with a positive non-invasive biochemical test for suspected fibrosis, it is recommended to use transient elastography and/or a patented serum test to rule out advanced fibrosis.132 A recent Spanish study between primary and hospital care, applying a patient referral algorithm in clinical practice and incorporating the performance of TE in primary care (with the sequence and cut-off points FIB-4 ≥ 1.3 and liver stiffness ≥8 kPa) has shown an improvement in the stratification of at-risk patients and a decrease in the percentage of patients who would be referred by applying only FIB-4.44

Recommendation 6.1.1: in all patients with MASLD, a detailed medical history is recommended to rule out comorbidities, as well as other causes of disease such as viral hepatitis or haemochromatosis (LoE: 1; degree of recommendation: strong; degree of consensus: 97.5%).

Recommendation 6.1.2: universal access for primary care physicians to steatosis and fibrosis calculators, abdominal ultrasound, direct laboratory determination of fibrosis indices, and transient elastography is recommended for stratifying the risk of MASLD-fibrosis (LoE: 3; degree of recommendation: strong; degree of consensus: 87.4%).

Recommendation 6.1.3: we recommend referring patients with transient elastography values ≥8 kPa or ELF >9.8 to hepatology to rule out advanced fibrosis and initiate screening for hepatocellular carcinoma and portal hypertension (LoE: 1; degree of recommendation: strong; degree of consensus: 95.8%).

Recommendation 6.1.4: vaccination against hepatitis A and B is recommended for patients with MASLD (LoE: 3; degree of recommendation: weak; degree of consensus: 82.4%).

Recommendation 6.1.5: initial assessment for cardiometabolic risk and extrahepatic cancer is recommended, in order to design a personalised care and follow-up plan according to the risk (LoE: 2; degree of recommendation: strong; degree of consensus: 89.1%).

When to refer to endocrinology/internal medicine and for what?

Patients with MASLD may be referred to endocrinology/internal medicine according to availability and local circuit both from hepatology, in the management of MASLD with advanced fibrosis, and from primary care in the following cases:

  • a)

    T2DM with poor metabolic control, despite intensive treatment proposed from primary care.45

  • b)

    T2DM with obesity (BMI ≥ 35 kg/m2) who may be a candidate for metabolic endoscopy or bariatric surgery.133,134

  • c)

    T2DM with severe chronic complications: diabetic foot, peripheral neuropathy, chronic kidney disease, retinopathy, cardiovascular disease, intermittent claudication, erectile dysfunction.135

  • d)

    Resistant hypertension.

  • e)

    Severe obstructive sleep apnoea (OSA).

  • f)

    Severe dyslipidaemia.

  • g)

    Acute complications of diabetes: recurrent hypoglycaemia; hyperglycaemia with ketoacidosis; hyperosmolarity.

  • h)

    Obesity, without diabetes, with BMI ≥35 kg/m2 or ≥30 kg/m2, with two or more comorbidities who may benefit from treatment with GLP-1 receptor agonists for weight loss and improvement of MASLD.

Recommendation 6.2.1: we recommend that multidisciplinary referral protocols be agreed on between levels in each health area (LoE: 4; degree of recommendation: weak; degree of consensus: 97.5%).

Recommendation 6.2.2: referral to endocrinology or internal medicine is advised for people with T2DM with poor metabolic control (HbA1c >8.5%) and/or severe complications of diabetes (target organ damage), severe obesity, treatment-resistant hypertension, sleep apnoea/hyponoea syndrome (SAHS) and severe dyslipidaemia, as well as acute complications of diabetes after optimised treatment in primary care (LoE 3; degree of recommendation: strong; degree of consensus: 84.9%).

When to refer to a hepatologist and for what?

Patients with MASLD at risk of progression should be referred to a hepatologist to assess the liver damage properly and to design the most appropriate follow-up and treatment.

In areas outside of hepatology, it is necessary to refer patients with significant or advanced fibrosis. For this purpose, two-step detection can be performed136:

  • a)

    Use readily available fibrosis biomarkers such as FIB-4 >1.3 or (FIB-4 >2 if aged ≥65 years), HFS >0.12 and NFS > −1.456, and select patients with suspected significant fibrosis.137

  • b)

    A second step to assess patients at risk for fibrosis is by transient elastography (TE) or 2D shear wave elastography, or by biochemical methods such as ELF or OWLiver.138

This 2-circuit, 2-step screening and referral is cost-effective and reduces disease burden by screening patients and reducing healthcare expenditure.139,140

The main goal of referral will be the correct diagnosis, monitoring and treatment of patients with significant or advanced fibrosis. These patients will benefit from close, personalised follow-up and inclusion in clinical trials. Subsequent follow-up should be multidisciplinary and joint among all healthcare professionals involved. Patients who do not meet fibrosis risk criteria should not be referred to hepatology.141

Recommendation 6.3.1: referral to gastroenterology-hepatology is recommended for all patients at risk of disease progression, i.e., patients with steatohepatitis and significant fibrosis or advanced fibrosis, as well as all patients with advanced chronic liver disease (LoE: 3; degree of recommendation: strong; degree of consensus: 95.8%).

Recommendation 6.3.2: screening of at-risk patients using non-invasive methods in two steps is advised (FIB-4/NFS/HFS + ELF/OWLiver/VCTE), as it is cost-effective, through reducing the disease burden in hepatology units and healthcare expenditure as a result (LoE: 2; degree of recommendation: strong; degree of consensus: 85.7%).

Recommendation 6.3.3: we recommend referring to hepatology for accurate evaluation of liver damage and assessment of the risk of progression, as well as promoting early intervention in complications by optimising treatment (LoE: 3; degree of recommendation: strong; degree of consensus: 95.8%).

How to monitor progress and what parameters should we record?

Patients with MASLD should be monitored in primary care unless they have advanced fibrosis or metabolic comorbidities that are difficult to control.42

Monitoring should include periodic assessment of other comorbidities as well as liver disease.11

The assessment of comorbidities should include:

  • a)

    Calculation of fibrosis indices (FIB-4/HFS/NFS) every 2−3 years.

  • b)

    Metabolic monitoring every six months through blood tests (fasting blood glucose, HbA1c, kidney function, total cholesterol, HDL-C, LDL-C and triglycerides) to assess carbohydrate metabolism and the presence of atherogenic dyslipidaemia, and urine tests to assess the albumin/creatinine ratio (UACR).

  • c)

    Monitoring of high blood pressure and obesity (BMI and waist circumference).

  • d)

    Promote smoking cessation and avoiding alcohol consumption.

Recommendation 6.4.1: in cases of low risk of fibrosis, re-assessment using non-invasive markers is recommended every 2−3 years, and in cases of significant fibrosis, annual follow-up is recommended (LoE: 3; degree of recommendation: strong; degree of consensus: 95.8%).

Recommendation 6.4.2: in case of cirrhosis, six-monthly follow-up is recommended to assess the progression of portal hypertension and screen for hepatocellular carcinoma (LoE: 3; degree of recommendation: strong; degree of consensus: 98.3%).

Recommendation 6.4.3: in all cases, screening for and monitoring of comorbidities is recommended, as well as promoting smoking cessation and avoiding alcohol consumption, recommending moderate aerobic physical exercise and a healthy diet, and reinforcing adherence to treatment (LoE: 1; degree of recommendation: strong; degree of consensus: 97.5%).

How to organise the care of patients with metabolic dysfunction-associated steatotic liver disease? Importance and composition of the functional unit in metabolic dysfunction-associated steatotic liver disease

MASLD is a common, progressive and complex chronic lifestyle-related disease associated with numerous metabolic comorbidities and cardiovascular and liver complications. Appropriate management includes prevention, screening and diagnosis of liver disease and comorbidities, as well as treatment to prevent disease progression and comorbidities and their complications, which should be multifactorial and progressive/additive to adapt it to the evolutionary phase of the disease.142

In this context, traditional care models, which suffer from poor coordination and communication between healthcare professionals, tend to be unsatisfactory for patients, the professionals and the healthcare system. Among the interventions that have demonstrated the best results in the care of chronic patients, the Chronic Care Model (CCM) is the most used in T2DM, as it includes interventions in the community, the healthcare system and clinical practice,143 as well as multidisciplinary clinics (MC),144 which promote coordinated care by integrating consultations in a clinical space, commonly used in oncology.145 Information on patients with MASLD is limited,146 but due to the diverse characteristics and needs of individuals with MASLD, which vary over the course of their disease, we consider that, globally, the CCM is the ideal model to integrate their care at different levels of care. This model allows for the integration of functional units that bring together the various primary care and hospital healthcare professionals involved in the clinical process of patients with MASLD, without the need to share the physical space of the clinic or the centre. Lastly, for patients requiring complex care in a hospital setting, MC in a single clinical space can be a suitable model for providing coordinated care from different healthcare professionals.

The minimum core members should be the primary care physician, the internal medicine specialist, the endocrinologist and the hepatologist, as well as others, including nurses, psychologists and nutritionists. The first three are key for prevention and identifying people at risk for MASLD and their assessment, including estimating fibrosis risk and managing risk factors and associated comorbidities. The hepatologist should be responsible for further assessment of liver disease and management of advanced liver disease. Depending on the needs, available resources and the organisation, other healthcare professionals may form part of these teams. The roles of all healthcare professionals in the management of patients with MASLD and the patient's referring clinician should be clearly defined at all times. Lastly, systematic meetings on clinical and organisational content should be planned.

Recommendation 6.5.1: we recommend that the minimum core members of the multidisciplinary team be the primary care physician and nurse, the internal medicine specialist, the endocrinologist and the gastroenterologist or hepatologist. The first three are key for prevention and identifying people at risk for MASLD and their assessment, including estimating fibrosis risk and managing risk factors and associated comorbidities. The hepatologist should be responsible for further assessment of liver disease and management of advanced liver disease. Depending on the needs, available resources and the organisation, there are other healthcare professionals who can form part of these teams (LoE: 4; degree of recommendation: strong; degree of consensus: 89.9%).

Recommendation 6.5.2: the multidisciplinary approach requires that the roles of all healthcare professionals be explained and the patient's reference clinical representative be identified. Systematic meetings on clinical and organisational content should also be planned (LoE: 4; degree of recommendation: strong; degree of consensus: 96.6%).

Discussion

The level of consensus was considered very high (≥90%) in 48 of the 71 recommendations; in 27 of them the degree of consensus was above 95%. In 21 of the responses, a consensus of 80–89.9 % was obtained and only in two of them was the consensus below 80% (75% in recommendation 2.2.1 and 71% in 3.1.1). In none of the recommendations was the consensus below 70%. The main discrepancies were found in the introduction of new diagnostic technologies, where the added value of a paid method versus free and available methods is not clear. In addition, the role of pioglitazone and its potential beneficial effect versus the risk of adverse events sparked debate. The approval of resmetirom and the positive outcomes produced by semaglutide at a dose of 2.4 mg/week have aroused enthusiasm and a high level of consensus.

The Delphi method offers several advantages when it comes to generating consensus in scientific research. First, it involves individual, anonymous, and structured questionnaires, which reduces group bias and allows participants to engage in more objective reflection. Secondly, the various rounds and iterations allow experts to review and adjust their opinions as the process progresses. However, it should also be noted that this is a lengthy process due to the large number of rounds, as well as the potential difficulties in reaching consensus, especially when dealing with complex, controversial or polarised issues. In the case of this consensus, contact was established with experts from all over the country, with an equal balance in terms of gender (of the responses obtained, 48.8% identified themselves as female and 51.2% as male), and with a wide age range from 30 to 70, although with a particular presence of specialists in the 50−60-year-old age group (36.3%). Regarding medical specialities, the questionnaire was sent to experts from three different areas: Gastroenterology and Hepatology (27.5%), Endocrinology (37.5%) and Internal Medicine and Family Medicine (35%), so the responses were well balanced, as were the characteristics of the participants.

In conclusion, this multidisciplinary consensus lays the foundation for the management of a complex, dynamic, heterogeneous and multisystem disease. A multifaceted view of disease progression mechanisms, diagnostic methods and prevention and treatment options can provide added value in improving the quality of care for patients living with MASLD.

Funding

There has been no funding of any kind for this article.

Declaration of competing interest

Manuel Romero-Gómez: consulting with Abbvie, Alpha-sigma, Advanz, Apollo, Astra-Zeneca, Bausch Health, BMS, Boehringer-Ingelheim, Exo-Biologics, Gilead, Ipsen, MSD, Novo-Nordisk, Pfizer, Prosciento, Resolution Therapeutics, Roche, Rubió, Sagimet, Siemens and UCB pharma.

Research grants from Gilead, Intercept, Siemens, Theratechnologies, Novo-Nordisk and Echosens.

Javier Escalada: speaker at MASLD meetings sponsored by Echosens, MSD and Novo Nordisk. Advisory board: Boehringer, Lilly and Novo Nordisk. Principal investigator in clinical trials for Boehringer, Lilly and Novo Nordisk.

Mar Noguerol: there are no conflicts of interest.

Antonio Pérez: has been a consultant or has received research grants, honoraria for lectures or attendance at conferences from Sanofi Aventis, Almirall, Novo Nordisk, EliLilly, MSD, Abbott, Boehringer Ingelheim, Dexcom, Esteve, Novartis, Amgen, Menarini, Amarin, Daiichi Sankyo and AstraZeneca.

Juana Carretero: MAFLD course Novo Nordisk and Boeringher.

Javier Crespo: there are no conflicts of interest.

Juan J. Mascort: there are no conflicts of interest.

Ignacio Aguilar: there are no conflicts of interest.

Francisco Tinahones: there are no conflicts of interest.

Pedro Cañones: there are no conflicts of interest.

Ricardo Gómez-Huelgas: there are no conflicts of interest.

Daniel de Luis: there are no conflicts of interest.

Idoia Genúa Trullos: grant to attend conferences from Novo Nordisk, Eli Lilly, Sanofi, Boehringer, Daiichi Sankyo, Menarini and Almirall.

Rocío Aller: there are no conflicts of interest.

Miguel A. Rubio: scientific advice and/or clinical trials, and/or conferences and/or collaborations with: Adventia, Amgen, Astra-Zeneca, Boehringer, Janssen, Lilly, Mundipharma, MSD, Novo-Nordisk, Roche, Rubió and Vegenat.

José Luis Calleja: there are no conflicts of interest.

Acknowledgements

To Javier Pazó for his methodological support in developing the RedCAP for the first round of the Delphi.

To Sara Romero for conducting the second round of Delphi and for correcting the grammar and style of the text.

Appendix 1
Contributors to the Delphi 2.0 Consensus

Alfredo Michán Doña: epartamento de Medicina, Hospital Universitario de Jerez, Biomedical Research and Innovation Institute of Cadiz (INIBICA)

Amaia Rodríguez: Laboratorio de Investigación Metabólica, Clínica Universidad de Navarra, CIBEROBN, IdiSNA, Pamplona

Ana de Hollanda: Servicio de Endocrinología y Nutrición, Hospital Clínic de Barcelona, CiberOBN

Ana Belén García Garrido: Médico de Familia de Atención Primaria, Centro de Salud José Barros, Muriedas, Cantabria

Ana María Gómez Pérez: Unidad de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), Hospital Universitario Virgen de la Victoria, Málaga

Ana Mª Sánchez Bao: Endocrinología y Nutrición, Complejo Hospitalario Universitario Ferrol

Anna Soria: Liver Unit, Hospital Clínic de Barcelona, FCRB-IDIBAPS, Universitat de Barcelona

Antonio Jesús Blanco Carrasco: Servicio de Endocrinología y Nutrición, Hospital Clínic de Barcelona

Blas Labrador Vázquez: Aparato Digestivo, Hepatología, Hospital Universitario de Gran Canaria-Doctor Negrín

Carolina M. Perdomo Zelaya: Departamento de Endocrinología y Nutrición, Clínica Universitaria de Navarra, Pamplona, Instituto de Investigación en la Salud de Navarra (IdiSNA), Pamplona, CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid

Carolina Torrijos Bravo: Medicina Familiar y Comunitaria, Centro de Salud Joaquín Rodrigo, Madrid

Conrado Fernández Rodríguez: Servicio de Aparato Digestivo, Hospital Universitario Fundación Alcorcón, Departamento de Especialidades Médicas y Salud Pública, Universidad Rey Juan Carlos

Cristina Tejera-Pérez: Servicio de Endocrinología y Nutrición, Complejo Hospitalario Universitario de Ferrol (CHUF/SERGAS), A Coruña, Grupo de Epigenómica en Endocrinología y Nutrición, Unidad de Epigenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)

David León Jiménez: Servicio de Medicina Interna, Hospital Universitario Virgen del Rocío, Sevilla

David Primo Martín: Endocrinología y nutrición, Hospital Clínico Universitario de Valladolid

Dídac Mauricio: CIBERDEM, Hospital de la Santa Creu i Sant Pau, Barcelona, Servicio de Endocrinología y Nutrición, CIBERDEM, Hospital de la Santa Creu i Sant Pau, Barcelona

Diego Bellido Guerrero: Endocrinología y Nutrición, Complejo Hospitalario Universitario de Ferrol

Elena González Arnáiz: Servicio de Endocrinología y Nutrición, Complejo Asistencial Universitario de León

Eloy Sánchez Hernández: Jefe de Servicio de Aparato Digestivo, Complejo Hospitalario Universitario de Ourense

Emilio Ortega: Servicio de Endocrinología y Nutrición, Hospital Clínic de Barcelona, CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid

Fernando Gómez Peralta: Jefe de la Unidad de Endocrinología y Nutrición, Hospital General de Segovia, Coordinador del Área de Diabetes de la Sociedad Española de Endocrinología y Nutrición (SEEN)

Francisco Javier Carrasco Sánchez: Jefe de Servicio de Medicina Interna, Unidad Cardio-Metabólica: IC (Riesgo vascular y lípidos), Hospital Universitario Juan Ramón Jiménez, Huelva, Profesor Grado de Medicina, Universidad de Huelva

Francisco Jesús Gómez Delgado: Unidad de Riesgo Vascular, Servicio de Medicina Interna y Cuidados Paliativos, Hospital Universitario de Jaén, Grupo PAIDI CTS-990, Universidad de Jaén

Irene Bretón Lesmes: Servicio de Endocrinología y Nutrición, Hospital General Universitario Gregorio Marañón, Madrid, Instituto de Investigaciones Sanitarias Gregorio Marañón (IiSGM)

Javier Ampuero: Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla, Universidad de Sevilla, CIBEREHD

Jorge Francisco Gómez Cerezo: Profesor Titular, Universidad Europea de Madrid, Jefe de Servicio de Medicina Interna, Hospital Universitario Infanta Sofía

José Carlos Arévalo Lorido: Servicio de Medicina Interna, Hospital Universitario de Badajoz

José Luis Calleja: Servicio de Gastroenterología y Hepatología, Hospital Universitario Puerta de Hierro, Majadahonda, Universidad Autónoma de Madrid

José María Fernández Rodríguez: Unidad de Insuficiencia Cardiaca (UMIPIC), Hospital Universitario Central de Asturias

José Miguel Rosales Zábal: Unidad de Aparato Digestivo, Hospital Universitario Costa del Sol, Marbella, Málaga

José Pablo Miramontes González: Medicina Interna, Hospital Universitario Río Hortega, Valladolid, Departamento de Medicina, Facultad de Medicina, Universidad de Valladolid

Josep Vidal: Unidad de Obesidad, Servicio de Endocrinología y Nutrición, Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III, Madrid

Juan José González Soler: Medicina Interna, Complejo Hospitalario Universitario de Ourense

Juan Manuel Mendive: Medicina Familiar y Comunitaria, Centro de Atención Primaria La Mina, Sant Adrià de Besòs, Barcelona

Judith Gómez Camarero: Servicio de Aparato Digestivo, Hospital Universitario de Burgos

Luis Castilla Guerra: Unidad de Riesgo Vascular, Servicio de Medicina Interna, Hospital Virgen Macarena, Sevilla, Departamento de Medicina, Universidad de Sevilla

Luis Ibáñez-Samaniego: Unidad de Hepatología y Trasplante Hepático, Hospital General Universitario Gregorio Marañón, Madrid, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, CIBERehd, Instituto de Salud Carlos III, Madrid

Manuel Delgado Blanco: Unidad de Hepatología, Hospital Universitario La Coruña

Manuel A. Gargallo Fernández: Departamento de Endocrinología y Nutrición, Fundación Jiménez Díaz, Madrid

María Dolores García de Lucas: Medicina Interna, Hospital Regional de Málaga

María Dolores López Carmona: Medicina Interna, Hospital Regional de Málaga

Mª Isabel Pérez Soto: Medicina Interna, Hospital Universitario de Vinalopó, Elche

Mª José Carrera Santaliestra: Servicio de Endocrinología y Nutrición, Hospital del Mar, Barcelona, Departamento de Medicina (MELIS), Universitat Pompeu Fabra, Barcelona

María Riestra Fernández: Servicio de Endocrinología y Nutrición, Hospital Universitario de Cabueñes

María Teresa Arias-Loste: Hospital Universitario Marqués de Valdecilla, Santander, Grupo Investigación Clínica y Traslacional de Enfermedades Digestivas (IDIVAL), Universidad de Cantabria

María Teresa Julián Alargada: Servicio de Endocrinología y Nutrición, Hospital Universitario Germans Trias i Pujol, Badalona

Marta Bueno Díez: Servicio de Endocrinología y Nutrición, Hospital Universitari Arnau de Vilanova, Lleida

Marta Casado Martín: Departamento de Hepatología, Hospital Universitario Torrecárdenas, Almería

Marta Tejedor: Hospital Universitario Infanta Elena, Madrid

Mercedes Ricote Belinchón: Medicina Familiar y Comunitaria, C. S. Mar Báltico DAE, Madrid

Mercedes Vergara: Unitat de Hepatologia, Servei d’Aparell Digestiu, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, CIBERehd, Instituto Carlos III, Madrid

Miguel Fernández Bermejo: Unidad de Hepatología, Servicio de Aparato Digestivo, Hospital Universitario de Cáceres

Miriam Fuentes Bermejo: Medicina Familiar y Comunitaria, Centro de Salud Cuzco, Fuenlabrada, Madrid

Noelia Fontanillas Garmilla: Especialista en Medicina Familiar y Comunitaria, Profesora Asociada, Universidad de Cantabria, Coordinadora del Grupo de Trabajo de Digestivo SEMERGEN

Nuria Muñoz Rivas: Unidad de Riesgo Cardiovascular, Medicina Interna, Hospital Universitario Infanta Leonor, Madrid, Universidad Complutense de Madrid

Nuria Vilarrasa: Servicio de Endocrinología y Nutrición, Hospital Universitario de Bellvitge-IDIBELL, CIBERDEM

Pedro José Pinés Corrales: Facultativo especialista de área en el Complejo Hospitalario Universitario de Albacete, Profesor asociado en la Facultad de Medicina de Albacete

Rafael Bañares: Servicio de Medicina de Aparato Digestivo, Instituto de Investigación Sanitaria Gregorio Marañón, Catedrático de Medicina, Universidad Complutense de Madrid, CIBEREHD

Rosa Martín Mateos: Servicio de Gastroenterología, Hospital Universitario Ramón y Cajal, CIBERehd, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid

Salvador Benlloch: Hospital Arnau de Vilanova, Universidad CEU-Cardenal Herrera, Valencia, CIBEREHD

Sharona Azriel Mira: Servicio de Endocrinología y Nutrición, Hospital Universitario Infanta Sofía, Madrid, Profesora Asociada de la Universidad Europea de Madrid

Sonia Blanco Sampascual: Servicio de Aparato Digestivo, Hospital Universitario Basurto – OSI, Bilbao

Tomás de Vega Santos: Medicina Interna, Hospital Sierrallana, Torrelavega, Cantabria

Vanesa Bernal-Monterde: Gastroenterología y Hepatología, Hospital Universitario Miguel Servet, Zaragoza, Instituto de Investigación Sanitaria de Aragón (IISA), ADIPOFAT Lab

Virginia Bellido: Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla.

References
[1]
E.E. Powell, V.W. Wong, M. Rinella.
Non-alcoholic fatty liver disease.
Lancet., 397 (2021), pp. 2212-2224
[2]
L. Caballeria, S. Augustin, T. Broquetas, R.M. Morillas, M. Vergara, S. Virolés, et al.
Recommendations for the detection, diagnosis and follow-up of patients with non-alcoholic fatty liver disease in primary and hospital care.
Med Clin., 153 (2019), pp. 169-177
[3]
J.V. Lazarus, Q.M. Anstee, H. Hagström, K. Cusi, H. Cortez-Pinto, H.E. Mark, et al.
Defining comprehensive models of care for NAFLD.
Nat Rev Gastroenterol Hepatol., 18 (2021), pp. 717-729
[4]
M. Eslam, P.N. Newsome, S.K. Sarin, Q.M. Anstee, G. Targher, M. Romero-Gomez, et al.
A new definition for metabolic dysfunction-associated fatty liver disease: an international expert consensus statement.
J Hepatol., 73 (2020), pp. 202-209
[5]
Z.M. Younossi, J.M. Paik, R. Al Shabeeb, P. Golabi, I. Younossi, L. Henry.
Are there outcome differences between NAFLD and metabolic-associated fatty liver disease?.
Hepatology., 76 (2022), pp. 1423-1437
[6]
M. Romero-Gómez, J. Ampuero.
Looking for a new name for non-alcoholic fatty liver disease in Spanish: esteatosis hepática metabólica (EHmet).
Rev Esp Enferm Dig., 113 (2021), pp. 161-163
[7]
M.E. Rinella, J.V. Lazarus, V. Ratziu, S.M. Francque, A.J. Sanyal, F. Kanwal, NAFLD Nomenclature consensus group, et al.
A multisociety Delphi consensus statement on new fatty liver disease nomenclature.
J Hepatol., 79 (2023), pp. 1542-1556
[8]
Z.M. Younossi, G. Marchesini, H.P.S. Pinto-Cortez.
Epidemiology of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: implications for liver transplantation.
Transplantation., 103 (2019), pp. 22-27
[9]
Z.M. Younossi, P. Golabi, L. de Avila, J.M. Paik, M. Srishord, N. Fukui, et al.
The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: a systematic review and meta-analysis.
J Hepatol., 71 (2019), pp. 793-801
[10]
J.L. Calleja, J. Rivera-Esteban, R. Aller, M. Hernández-Conde, J. Abad, J.M. Pericàs, et al.
Prevalence estimation of significant fibrosis because of NASH in Spain combining transient elastography and histology.
Liver Int., 42 (2022), pp. 1783-1792
[11]
European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO).
EASLEASD-EASO Clinical Practice Guidelines for the management of nonalcoholic fatty liver disease.
J Hepatol, 64 (2016), pp. 1388-1402
[12]
M.L. Teng, C.H. Ng, D.Q. Huang, K.E. Chan, D.J. Tan, W.H. Lim, et al.
Global incidence and prevalence of non-alcoholic fatty liver disease.
Clin Mol Hepatol., 29 (2022), pp. S32-S42
[13]
L. Caballería, G. Pera, M.A. Auladell, P. Torán, L. Muñoz, D. Miranda, et al.
Prevalence and factors associated with the presence of nonalcoholic fatty liver disease in an adult population in Spain.
Eur J Gastroenterol Hepatol., 22 (2010), pp. 24-32
[14]
A.M. Diehl, C. Day.
Cause, pathogenesis, and treatment of nonalcoholic steatohepatitis.
N Engl J Med., 377 (2017), pp. 2063-2072
[15]
G. Parthasarathy, X. Revelo, H. Malhi.
Pathogenesis of nonalcoholic steatohepatitis: an overview.
Hepatol., 4 (2020), pp. 479-492
[16]
M. Romero-Gómez.
Non-alcoholic steatohepatitis.
Med Clin., 159 (2022), pp. 388-395
[17]
R. Loomba, N. Schork, C.H. Chen, R. Bettencourt, A. Bhatt, B. Ang, et al.
Heritability of hepatic fibrosis and steatosis based on a prospective twin study.
Gastroenterology., 149 (2015), pp. 1784-1793
[18]
P. Dongiovanni, L. Valenti.
Genetics of nonalcoholic fatty liver disease.
Metabolism., 65 (2016), pp. 1026-1037
[19]
M.L. Petroni, L. Brodosi, E. Bugianesi, G. Marchesini.
Management of non-alcoholic fatty liver disease.
BMJ., 372 (2021), pp. 4747
[20]
E. Vilar-Gomez, L. Calzadilla-Bertot, V. Wai-Sun Wong, M. Castellanos, R. Aller-de la Fuente, M. Metwally, et al.
Fibrosis severity as a determinant of cause-specific mortality in patients with advanced nonalcoholic fatty liver disease: a multi-national cohort study.
Gastroenterology., 155 (2018), pp. 443-457
[21]
D. Martí-Aguado, J.L. Calleja, E. Vilar-Gomez, P. Iruzubieta, J.C. Rodríguez-Duque, M. Del Barrio, et al.
Low-to-moderate alcohol consumption is associated with increased fibrosis in individuals with metabolic dysfunction-associated steatotic liver disease.
J Hepatol., 81 (2024), pp. 930-940
[22]
R. Harris, D.J. Harman, T.R. Card, G.P. Aithal, I.N. Guha.
Prevalence of clinically significant liver disease within the general population, as defined by non-invasive markers of liver fibrosis: a systematic review.
Lancet Gastroenterol Hepatol, 358 (2017), pp. 288-297
[23]
A. Berzigotti, J.G. Abraldes, P. Tandon, E. Erice, R. Gilabert, J.C. García-Pagan, et al.
Ultrasonographic evaluation of liver surface and transient elastography in clinically doubtful cirrhosis.
J Hepatol., 52 (2010), pp. 846-853
[24]
G. Bedogni, S. Bellentani, L. Miglioli, F. Masutti, M. Passalacqua, A. Castiglione, et al.
The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population.
BMC Gastroenterol, 60 (2006), pp. 1-7
[25]
Y.T. Cao, L.L. Xiang, F. Qi, Y.J. Zhang, Y.Z.X. Chen.
Accuracy of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) for assessing steatosis and fibrosis in non-alcoholic fatty liver disease: A systematic review and meta-analysis.
E Clin Med., 51 (2022),
[26]
K. Malandris, E. Korakas, A. Sarakapina, G. Kalopitas, F. Iatridi, A. Liakos, et al.
Accuracy of controlled attenuation parameter for liver steatosis in high-risk patients for MASLD using MRI-proton density fat fraction as reference standard.
[27]
A.E. Feldstein, A. Wieckowska, A.R. Lopez, Y.C. Liu, N.N. Zein, A.J. McCullough.
Cytokeratin-18 fragment levels as noninvasive biomarkers for nonalcoholic steatohepatitis: a multicenter validation study.
Hepatology., 50 (2009), pp. 1072-1078
[28]
I. Martínez‐Arranz, R. Mayo, J. Banales, I. Mincholé, P. Ortiz, F. Bril, et al.
Non‐Invasive serum lipidomic approach to discriminate non‐alcoholic steatohepatitis in multiethnic patients with type 2 diabetes mellitus.
Hepatology., 70 (2019),
[29]
R. Gallego-Durán, P. Cerro-salido, E. Gomez-gonzalez, M.J. Pareja, J. Ampuero, M.C. Rico, et al.
Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease.
Nat Publ Gr., 6 (2016), pp. 1-9
[30]
H. Hagström, P. Nasr, M. Ekstedt, U. Hammar, P. Stål, R. Hultcrantz, et al.
Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD.
J Hepatol, 67 (2017), pp. 1265-1273
[31]
D.H. Kaswala, M. Lai, N.H. Afdhal.
Fibrosis assessment in nonalcoholic fatty liver disease (NAFLD) in 2016.
Dig Dis Sci., 61 (2016), pp. 1356-1364
[32]
J. Ampuero, R. Pais, R. Aller, R. Gallego-durán, J. Crespo, C. García-monzón, et al.
Development and validation of hepamet fibrosis scoring system a simple, noninvasive test to identify patients with nonalcoholic fatty liver disease with advanced fibrosis.
Clin Gastroenterol Hepatol., 18 (2019), pp. 216-225
[33]
S. Naveau, G. Gaudé, A. Asnacios, H. Agostini, A. Abella, N. Barri-Ova, et al.
Diagnostic and prognostic values of noninvasive biomarkers of fibrosis in patients with alcoholic liver disease.
Hepatology., 49 (2009), pp. 97-105
[34]
European Association for Study of Liver, Asociacion Latinoamericana para el Estudio del Higado.
EASL-ALEH clinical practice guidelines: non-invasive tests for evaluation of liver disease severity and prognosis.
J Hepatol., 63 (2015), pp. 237-264
[35]
S. Singh, A.J. Muir, D.T. Dieterich, Y.T. Falck-Ytter.
American gastroenterological association institute technical review on the role of elastography in chronic liver diseases.
Gastroenterology., 152 (2017), pp. 1544-1577
[36]
S. Shili-Masmoudi, G.L. Wong, J.B. Hiriart, K. Liu, F. Chermak, S. She-Ting Shu, et al.
Liver stiffness measurement predicts long-term survival and complications in non-alcoholic fatty liver disease.
Liver Int., 40 (2020), pp. 581-589
[37]
S. Petta, V.W.-S. Wong, C. Cammà, J.-B. Hiriart, G.L.-H. Wong, J Vergniol, et al.
Serial combination of non-invasive tools improves the diagnostic accuracy of severe liver fibrosis in patients with NAFLD.
Aliment Pharmacol Ther., 46 (2017), pp. 617-627
[38]
Q.M. Anstee, E.J. Lawitz, N. Alkhouri, V.W.-S. Wong, M. Romero-Gomez, T. Okanoue, et al.
Noninvasive tests accurately identify advanced fibrosis due to NASH: baseline data from the STELLAR trials.
Hepatology., 70 (2019), pp. 1521-1530
[39]
National Guideline Centre (UK).
Non-alcoholic fatty liver disease: assessment and management, (2016), pp. 18
[40]
M. Masoodi, A. Gastaldelli, T. Hyötyläinen, E. Arretxe, C. Alonso, M. Gaggini, et al.
Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests.
Nat Rev Gastroenterol Hepatol, 18 (2021), pp. 835-856
[41]
J. Aron-Wisnewsky, C. Vigliotti, J. Witjes, P. Le, A.G. Holleboom, J. Verheij, et al.
Gut microbiota and human NAFLD: disentangling microbial signatures from metabolic disorders.
Nat Rev Gastroenterol Hepatol., 17 (2020), pp. 279-297
[42]
J.A. Bowden, A. Heckert, C.Z. Ulmer, C.M. Jones, J.P. Koelmel, L. Abdullah, et al.
Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-metabolites in frozen human plasma.
J Lipid Res., 58 (2017), pp. 2275-2288
[43]
B. Burla, M. Arita, M. Arita, A.K. Bendt, A. Cazenave-Gassiot, E.A. Dennis, et al.
MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.
J Lipid Res., 59 (2018), pp. 2001-2017
[44]
M. Noguerol Álvarez, M.P. Valer López Fando, C. Torrijos Bravo, M.C. Gómez Ortiz, B. Piqueras Alcohol, A. Guardiola Arévalo, et al.
Detección de enfermedad hepática avanzada incorporando el uso de elastografía transicional en atención primaria.
Gastroenterol Hepatol, 48 (2025),
[45]
A. Caixàs, M. Villaró, C. Arraiza, J.C. Montalvá, A. Lecube, J.M. Fernández-García, et al.
SEEDO-SEMERGEN consensus document on continuous care of obesity between Primary Care and Specialist Hospital Units 2019.
Med Clin (Barc)., 155 (2020), pp. 267.e1-267.e11
[46]
M Noureddin, E Truong, R Mayo, I Martínez-Arranz, I Mincholé, JM Banales, et al.
Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MASEF).
Hepatology, 79 (2024), pp. 135-148
[47]
P. Iruzubieta, R. Mayo, I. Mincholé, I. Martínez-Arranz, M.T. Arias-Loste, L. Ibañez-Samaniego, et al.
One-step non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis and fibrosis in high-risk population.
United Eur Gastroenterol J., 12 (2024), pp. 919-929
[48]
Y. Vali, J. Lee, J. Boursier, S. Petta, K. Wonders, D. Tiniakos, et al.
Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) consortium investigators. Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study.
Lancet Gastroenterol Hepatol., 8 (2023), pp. 714-725
[49]
A.J. Sanyal, S.A. Williams, J.E. Lavine, B.A. Neuschwander-Tetri, L. Alexander, R. Ostroff, et al.
Defining the serum proteomic signature of hepatic steatosis, inflammation, ballooning and fibrosis in non-alcoholic fatty liver disease.
J. Hepatol., 78 (2023), pp. 693-703
[50]
C.J. Pirola, S Sookoian.
Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity.
World J Gastroenterol., 24 (2018), pp. 1601-1615
[51]
M. Eslam, S.K. Sarin, V.W. Wong, J.G. Fan, T. Kawaguchi, S.H. Ahn, et al.
The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease.
Hepatol Int., 14 (2020), pp. 889-919
[52]
A.J. Sanyal, M.L. Van Natta, J. Clark, B.A. Tetri, A.M. Diehl, S. Dasarathy, et al.
Prospective study of outcomes in adults with nonalcoholic fatty liver disease.
N Engl J Med., 385 (2021), pp. 1559-1569
[53]
L. Castera.
Non-invasive tests for liver fibrosis in NAFLD: creating pathways between primary healthcare and liver clinics.
Liver Int., 40 (2020), pp. 77-81
[54]
J.V. Lazarus, L. Castera, H.E. Mark, A.M. Allen, L.A. Adams, Q.M. Anstee, et al.
TE. Real-world evidence on non-invasive tests and associated cut-offs used to assess fibrosis in routine clinical practice.
JHEP Rep., 5 (2022),
[55]
M. Sayiner, M. Otgonsuren, R. Cable, I. Younossi, M. Afendy, P. Golabi, et al.
Variables associated with inpatient and outpatient resource utilization among Medicare beneficiaries with nonalcoholic fatty liver disease with or without cirrhosis.
J Clin Gastroenterol., 51 (2017), pp. 254-260
[56]
H. Hagström, S. Kechagias, M. Ekstedt.
Risk for hepatic and extra-hepatic outcomes in nonalcoholic fatty liver disease.
J Intern Med., 292 (2021), pp. 177-189
[57]
G. Targher, C.D. Byrne, A. Lonardo, G. Zoppini, C. Barbui.
Non-alcoholic fatty liver disease and risk of incident cardiovascular disease: a meta-analysis.
J Hepatol., 65 (2016), pp. 589-600
[58]
M. Alexander, A.K. Loomis, J. van der Lei, T. Duarte-Salles, D. Prieto-Alhambra, D. Ansell, et al.
Non-alcoholic fatty liver disease and risk of incident acute myocardial infarction and stroke: findings from matched cohort study of 18 million European adults.
BMJ., 367 (2019),
[59]
H. Hagström, P. Nasr, M. Ekstedt, U. Hammar, P. Stål, J. Askling, et al.
Cardiovascular risk factors in non-alcoholic fatty liver disease.
Liver Int., 39 (2019), pp. 197-204
[60]
M. Ekstedt, H. Hagström, P. Nasr, M. Fredrikson, P. Stål, S. Kechagias, et al.
Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up.
Hepatology., 61 (2015), pp. 1547-1554
[61]
M. Lazo, R. Hernaez, S. Bonekamp, I.R. Kamel, F.L. Brancati, E. Guallar, et al.
Non-alcoholic fatty liver disease and mortality among US adults: prospective cohort study.
BMJ., 343 (2011),
[62]
D. Kim, W.R. Kim, H.J. Kim, T.M. Therneau.
Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United States.
Hepatology., 57 (2013), pp. 1357-1365
[63]
Y. Shang, P. Nasr, L. Widman, H. Hagström.
Risk of cardiovascular disease and loss in life expectancy in NAFLD.
Hepatology., 76 (2022), pp. 1495-1505
[64]
E. Hashimoto, S. Yatsuji, M. Tobari, M. Taniai, N. Torii, K. Tokushige, et al.
Hepatocellular carcinoma in patients with nonalcoholic steatohepatitis.
J Gastroenterol., 44 (2009), pp. 89-95
[65]
V. Paradis, S. Zalinski, E. Chelbi, N. Guedj, S. Degos, V. Vilgrain, et al.
Hepatocellular carcinomas in patients with metabolic syndrome often develop without significant liver fibrosis: a pathological analysis.
Hepatology., 49 (2009), pp. 851-859
[66]
Z.M. Younossi, L. Henry.
Epidemiology of non-alcoholic fatty liver disease and hepatocellular carcinoma.
JHEP Rep., 3 (2021),
[67]
Associazione Italiana per lo Studio del Fegato (AISF), Società Italiana di Diabetologia (SID) and Società Italiana dell’Obesità (SIO); Members of the guidelines panel; Coordinator; AISF Members; SID Members; SIO Members; Metodologists. Associazione Italia SI di D (SID) and SI dell’Obesità (SIO); M of the guidelines panel; CAMSMSMM.
Non-alcoholic fatty liver disease in adults 2021: A clinical practice guideline of the Italian Association for the Study of the Liver (AISF), the Italian Society of Diabetology (SID) and the Italian Society of Obesity (SIO).
Nutr Metab Cardiovasc Dis., 32 (2022), pp. 1-16
[68]
A. Mantovani, G. Petracca, G. Beatrice, A. Csermely, H. Tilg, C.D. Byrne, et al.
Non-alcoholic fatty liver disease and increased risk of incident extrahepatic cancers: a meta-analysis of observational cohort studies.
[69]
A.M. Allen, S.B. Hicks, K.C. Mara, J.J. Larson, T.M. Therneau.
The risk of incident extrahepatic cancers is higher in non-alcoholic fatty liver disease than obesity - A longitudinal cohort study.
J Hepatol., 71 (2019), pp. 1229-1236
[70]
K. Yamamoto, T. Ikeya, S. Okuyama, K. Fukuda, D. Kobayashi.
The association between non-alcoholic fatty liver disease (with or without metabolic syndrome) and extrahepatic cancer development.
J Gastroenterol Hepatol., 36 (2021), pp. 1971-1978
[71]
A. Mantovani.
Nonalcoholic Fatty Liver Disease (NAFLD) and risk of cardiac arrhythmias: a new aspect of the liver-heart axis.
J Clin Transl Hepatol., 5 (2017), pp. 134-141
[72]
E. Muzurović, C.C. Peng, M.J. Belanger, D. Sanoudou, D.P. Mikhailidis, C.S. Mantzoros.
Nonalcoholic fatty liver disease and cardiovascular disease: a review of shared cardiometabolic risk factors.
Hypertension, 79 (2022), pp. 1319-1326
[73]
J.P. Arab, M. Dirchwolf, M.R. Álvares-da-Silva, F. Barrera, C. Benítez, M. Castellanos-Fernandez, et al.
Latin American Association for the study of the liver (ALEH). Practice guidance for the diagnosis and treatment of non-alcoholic fatty liver disease.
Ann Hepatol., 19 (2020), pp. 674-690
[74]
R. Aller, C. Fernández-Rodríguez, O.L. Iacono, R. Bañares, J. Abad, J.A. Carrión, et al.
Consensus document. Management of non-alcoholic fatty liver disease (NAFLD). Clinical practice guideline.
Gastroenterol Hepatol., 41 (2018), pp. 328-349
[75]
F.L.J. Visseren, F. Mach, Y.M. Smulders, D. Carballo, K.C. Koskinas, M. Bäck, ESC Scientific Document Group, et al.
2021 ESC Guidelines on cardiovascular disease prevention in clinical practice: Developed by the Task Force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology.
Eur Heart J., 42 (2021), pp. 3227-3337
[76]
C.D. Williams, J. Stengel, M.I. Asike, D.M. Torres, J. Shaw, M. Contreras, et al.
Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatiti among a largely middle-aged population utilizing ultrasound and liver biopsy: a prospective study.
Gastroenterology., 140 (2011), pp. 124-131
[77]
F. Soriguer, A. Goday, A. Bosch-Comas, E. Bordiú, A. Calle-Pascual, R. Carmena, et al.
Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the diabetes study.
Diabetologia., 55 (2012), pp. 88-93
[78]
R. Aller, R. Sigüenza, M. Pina, C. Laserna, B. Antolín, B. Burgueño, et al.
Insulin resistance is related with liver fibrosis in type 2 diabetic patients with non-alcoholic fatty liver disease proven biopsy and Mediterranean diet pattern as a protective factor.
Endocrine., 68 (2020), pp. 557-563
[79]
H. Jarvis, D. Craig, R. Barker, G. Spiers, D. StowI, M. Quentin, et al.
Metabolic risk factors and incident advanced liver disease in non-alcoholic fatty liver disease (NAFLD): A systematic review and meta-analysis of population-based observational.
PLoS Med., 17 (2020),
[80]
C.H. Lee, D.T. Lui, K.S. Lam.
Non-alcoholic fatty liver disease and type 2 diabetes: an update..
J Diabetes Investig., 13 (2022), pp. 930-940
[81]
American Diabetes Association Professional Practice Committee.
Comprehensive medical evaluation and assessment of comorbidities: standards of medical care in diabetes—2022.
Diabetes Care., 45 (2022), pp. 46-59
[82]
J. Ampuero, R. Aller, R. Gallego-Durán, J. Crespo, J.L. Calleja, C. García-Monzón, HEPAmet Registry, et al.
Significant fibrosis predicts new-onset diabetes mellitus and arterial hypertension in patients with NASH.
J Hepatol., 73 (2020), pp. 17-25
[83]
I.R. Wanless, J.S. Lentz.
Fatty liver hepatitis (steatohepatitis) and obesity: an autopsy study with analysis of risk factors.
Hepatology., 12 (1990), pp. 1106-1110
[84]
M. Subichin, J. Clanton, M. Makuszewski, A. Bohon, J.G. Zografakis, A. Dan.
Liver disease in the morbidly obese: a review of 1000 consecutive patients undergoing weight loss surgery.
Surg Obes Relat Dis., 11 (2015), pp. 137-141
[85]
G. Vernon, A. Baranova, Z.M. Younossi.
Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults.
Aliment Pharmacol Ther., 34 (2011), pp. 274-285
[86]
M. Kouvari, C. Chrysohoou, J. Skoumas, C. Pitsavos, D.B. Panagiotakos, C.S. Mantzoros.
The presence of NAFLD influences the transition of metabolically healthy to metabolically unhealthy obesity and the ten-year cardiovascular disease risk: a population-based cohort study.
Metabolism., 128 (2022),
[87]
Z.M. Younossi, M. Otgonsuren, L. Henry, C. Venkatesan, A. Mishra, M. Erario.
Association of nonalcoholic fatty liver disease (NAFLD) with hepatocellular carcinoma (HCC) in the United States from 2004 to 2009.
Hepatology., 62 (2015), pp. 1723-1730
[88]
E.L. Anderson, L.D. Howe, H.E. Jones, J.P. Higgins, D.A. Lawlor, A. Fraser.
The prevalence of non-alcoholic fatty liver disease in children and adolescents: a systematic review and meta-analysis.
PLoS One., 10 (2015),
[89]
S.S. Sundaram, R.J. Sokol, K.E. Capocelli, Z. Pan, J.S. Sullivan, K. Robbins.
Obstructive sleep apnea and hypoxemia are associated with advanced liver histology in pediatric nonalcoholic fatty liver disease.
J Pediatr., 164 (2014), pp. 699-706
[90]
A. Berzigotti, G. Garcia-Tsao, J. Bosch, N.D. Grace, A.K. Burroughs, R. Morillas.
Obesity is an independent risk factor for clinical decompensation in patients with cirrhosis.
Hepatology., 54 (2011), pp. 555-561
[91]
S. Nair, S. Verma, P.J. Thuluvath.
Obesity and its effect on survival in patients undergoing orthotopic liver transplantation in the United States.
Hepatology., 35 (2002), pp. 105-109
[92]
J.D. Yang, F. Ahmed, K.C. Mara, B.D. Addissie, A.M. Allen, G.J. Gores, et al.
Diabetes is associated with increased risk of hepatocellular carcinoma in patients with cirrhosis from nonalcoholic fatty liver disease.
Hepatology., 71 (2020), pp. 907-916
[93]
J. Park, G. Kim, H. Kim, J. Lee, Y.B. Lee, S.M. Jin, et al.
The association of hepatic steatosis and fibrosis with heart failure and mortality.
Cardiovas Diabetol., 20 (2021), pp. 197
[94]
A.J. Sanyal, Q.M. Anstee, M. Trauner, E.J. Lawitz, M.F. Abdelmalek, D. Ding, et al.
Cirrhosis regression is associated with improved clinical outcomes in patients with nonalcoholic steatohepatitis.
Hepatology., 75 (2022), pp. 1235-1246
[95]
E. Vilar-Gomez, Y.C. Martinez-Perez, L. Calzadilla-Bertot, A. Torres-Gonzalez, B. Gra-Oramas, L. Gonzalez-Fabian, et al.
Weight loss through lifestyle modification significantly reduces features of nonalcoholic steatohepatitis.
Gastroenterology., 149 (2015), pp. 367-378
[96]
D.A. Koutoukidis, C. Koshiaris, J.A. Henry, M. Noreik, E. Morris, I. Manoharan, et al.
The effect of the magnitude of weight loss on non-alcoholic fatty liver disease: a systematic review and meta-analysis.
Metabolism., 115 (2021),
[97]
D.A. Koutoukidis, S.A. Jebb, J.W. Tomlinson, J.F. Cobbold, P. Aveyard.
Association of weight changes with changes in histological features and blood markers in nonalcoholic steatohepatitis.
Clin Gastroenterol Hepatol., 20 (2022), pp. 538-547
[98]
M.F. Russo, E. Lembo, A. Mari, G. Angelini, O. Verrastro, G. Nanni.
Insulin resistance is central to long-term reversal of histologic nonalcoholic steatohepatitis after metabolic surgery.
J Clin Endocrinol Metab., 106 (2021), pp. 750-761
[99]
A. Aminian, A. Al-Kurd, R. Wilson, J. Bena, H. Fayazzadeh, T. Singh, et al.
Association of bariatric surgery with major adverse liver and cardiovascular outcomes in patients with biopsy-proven nonalcoholic steatohepatitis.
JAMA., 326 (2021), pp. 2031-2042
[100]
K. Cusi, S.B.D. Isaacs, D. Barb, R. Basu, S. Caprio, W.T. Garvey, et al.
American Association of Clinical Endocrinology Clinical Practice Guideline for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Primary Care and Endocrinology Clinical Settings: Co-Sponsored by the American Association for the Study of the Liver.
Endocr Pr., 28 (2022), pp. 528-562
[101]
T. Kawaguchi, M. Charlton, A. Kawaguchi, S. Yamamura, D. Nakano, T. Tsutsumi, et al.
Effects of Mediterranean diet in patients with nonalcoholic fatty liver disease: a systematic review, metaanalysis, and meta-regression analysis of randomized controlled trials.
Semin Liver Dis., 41 (2021), pp. 225-234
[102]
C.M. Mascaró, C. Bouzas, J.A. Tur.
Association between non-alcoholic fatty liver disease and Mediterranean lifestyle: a systematic review.
Nutrients., 14 (2021), pp. 49
[103]
V. Houttu, S. Csader, M. Nieuwdorp, A.G. Holleboom, U. Schwab.
Dietary interventions in patients with non-alcoholic fatty liver disease: a systematic review and meta-analysis.
Front Nutr., 8 (2021),
[104]
L.A. Orci, K. Gariani, G. Oldani, V. Delaune, P. Morel, et al.
Exercise-based interventions for nonalcoholic fatty liver disease: a meta-analysis and metaregression.
Clin Gastroenterol Hepatol., 14 (2016), pp. 1398-1411
[105]
J.A. Sargeant, L.J. Gray, D.H. Bodicoat, S.A. Willis, D.J. Stensel, M.A. Nimmo, et al.
The effect of exercise training on intrahepatic triglyceride and hepatic insulin sensitivity: a systematic review and meta-analysis.
Obes Rev., 19 (2018), pp. 1446-1459
[106]
N.C. Winn, Y. Liu, R.S. Rector, E.J. Parks, J.A. Ibdah, J.A. Kanaley.
Energy-matched moderate and high intensity exercise training improves nonalcoholic fatty liver disease risk independent of changes in body mass or abdominal adiposity - a randomized trial.
Metabolism., 78 (2018), pp. 128-140
[107]
R. Hashida, T.B.M. Kawaguchi.
Aerobic vs. resistance exercise in nonalcoholic fatty liver disease: a systematic review.
2J Hepatol., 66 (2017), pp. 142-152
[108]
M. Romero-Gómez, S. Zelber-sagi, M. Trenell.
Treatment of NAFLD with diet, physical activity and exercise.
J Hepatol., 67 (2017), pp. 829-846
[109]
G. Musso, M. Cassader, E. Paschetta, R. Gambino.
Thiazolidinediones and advanced liver fibrosis in nonalcoholic steatohepatitis: a meta-analysis.
JAMA Internal Medicine., 177 (2017), pp. 633-640
[110]
H.W. Liao, J.L. Saver, Y.L. Wu, T.H. Chen, M. Lee, B. Ovbiagele.
Pioglitazone and cardiovascular outcomes in patients with insulin resistance, pre-diabetes and type 2 diabetes: a systematic review and meta-analysis.
BMJ Open [Internet]., 7 (2017),
[111]
M.J. Armstrong, P. Gaunt, G.P. Aithal, D. Barton, D. Hull, R. Parker, et al.
Liraglutide safety and effi cacy in patients with non-alcoholic steatohepatitis ( LEAN ): a multicentre, double-blind, randomised, placebo-controlled phase 2 study.
Lancet, 1 (2015), pp. 1-12
[112]
P.N. Newsome, K. Buchholtz, K. Cusi, M. Linder, T. Okanoue, V. Ratziu, et al.
A placebo-controlled trial of subcutaneous semaglutide in nonalcoholic steatohepatitis.
New England Journal of Medicine., 384 (2021), pp. 1113-1124
[113]
K. Cusi, F. Bril, D. Barb, D. Polidori, S. Sha, A. Ghosh, et al.
Effect of canagliflozin treatment on hepatic triglyceride content and glucose metabolism in patients with type 2 diabetes.
Diabetes Obes Metabolism., 21 (2019), pp. 812-821
[114]
A. Latva-Rasku, M.J. Honka, J. Kullberg, N. Mononen, T. Lehtimäki, J. Saltevo, et al.
The SGLT2 inhibitor dapagliflozin reduces liver fat but does not affect tissue insulin sensitivity: a randomized, double-blind, placebo-controlled study with 8-week treatment in type 2 diabetes patients.
Diabetes Care., 42 (2019), pp. 931-937
[115]
S. Kahl, S. Gancheva, K. Straßburger, C. Herder, J. Machann, H. Katsuyama, et al.
Empagliflozin effectively lowers liver fat content in well-controlled type 2 diabetes: a randomized, double-blind, phase 4, placebo-controlled trial.
Diabetes Care., 43 (2020), pp. 298
[116]
K. Cusi, B. Orsak, F. Bril, R. Lomonaco, J. Hecht, C. Ortiz-Lopez, et al.
Long-term pioglitazone treatment for patients with nonalcoholic steatohepatitis and prediabetes or type 2 diabetes mellitus: a randomized trial.
Ann Intern Med., 165 (2016), pp. 305-315
[117]
O. Vaccaro, M. Masulli, A. Nicolucci, E. Bonora, S. Del Prato, A.P. Maggioni, et al.
Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial.
Lancet Diabetes Endocrinol, 5 (2017), pp. 887-897
[118]
A. Mantovani, C.D. Byrne, G. Targher.
Efficacy of peroxisome proliferator-activated receptor agonists, glucagon-like peptide-1 receptor agonists, or sodium-glucose cotransporter-2 inhibitors for treatment of non-alcoholic fatty liver disease: a systematic review.
Lancet Gastroenterol Hepatol., 7 (2022), pp. 367-378
[119]
S.A. Harrison, M.R. Bashir, C.D. Guy, R. Zhou, C.A. Moylan, J.P. Frias, et al.
Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial.
Lancet, 394 (2019), pp. 2012-2024
[120]
Z.M. Younossi, V. Ratziu, R. Loomba, M. Rinella, Q.M. Anstee, Z. Goodman, et al.
Obeticholic acid for the treatment of non-alcoholic steatohepatitis: interim analysis from a multicentre, randomised, placebo-controlled phase 3 trial.
Lancet, 394 (2019), pp. 2184-2196
[121]
S.M. Francque, P. Bedossa, V. Ratziu, Q.M. Anstee, E. Bugianesi, A.J. Sanyal, et al.
A randomized, controlled trial of the Pan-PPAR agonist lanifibranor in NASH.
N Engl J Med, 385 (2021), pp. 1547-1558
[122]
S.M. Francque, P. Bedossa, M.F. Abdelmalek.
Nonalcoholic fatty liver disease. reply.
N Engl J Med., 386 (2022), pp. 295-296
[123]
S.A. Harrison, P.J. Ruane, B.L. Freilich, G. Neff, R. Patil, C.A. Behling, et al.
Efruxifermin in non-alcoholic steatohepatitis: a randomized, double-blind, placebo-controlled, phase 2a trial.
Nat Med., 27 (2021), pp. 1262-1271
[124]
R. Loomba, A.J. Sanyal, K.V. Kowdley, D.L. Bhatt, N. Alkhouri, J.P. Frias, et al.
Randomized, controlled trial of the FGF21 analogue pegozafermin in NASH.
N Engl J Med., 389 (2023), pp. 998-1008
[125]
A.J. Sanyal, P. Bedossa, M. Fraessdorf, G.W. Neff, E. Lawitz, E. Bugianesi, et al.
A phase 2 randomized trial of survodutide in MASH and fibrosis.
N Engl J Med., 391 (2024), pp. 311-319
[126]
A.J. Sanyal, L.M. Kaplan, J.P. Frias, B. Brouwers, Q. Wu, M.K. Thomas, et al.
Triple hormone receptor agonist retatrutide for metabolic dysfunction-associated steatotic liver disease: a randomized phase 2a trial.
Nat Med., 30 (2024), pp. 2037-2048
[127]
R. Loomba, M.L. Hartman, E.J. Lawitz, R. Vuppalanchi, J. Boursier, E. Bugianesi, et al.
Tirzepatide for metabolic dysfunction-associated steatohepatitis with liver fibrosis.
N Engl J Med., 391 (2024), pp. 299-310
[128]
R. Loomba, M.L. Hartman, E.J. Lawitz, R. Vuppalanchi, J. Boursier, E. Bugianesi, et al.
Tirzepatide for metabolic dysfunction-associated steatohepatitis with liver fibrosis.
N Engl J Med, 391 (2024), pp. 299-310
[129]
European Association for the Study of the Liver.
EASL Clinical Practice Guidelines on non-invasive tests for evaluation of liver disease severity and prognosis -. 2021 update.
J Hepatol., 75 (2021), pp. 659-689
[130]
L.A. Van Kleef, M.J. Sonneveld, R.A. de Man, R.J. de Knegt.
Poor performance of FIB-4 in elderly individuals at risk for chronic liver disease - implications for the clinical utility of the EASL NIT guideline.
J Hepatol., 76 (2022), pp. 245-246
[131]
P.N. Newsome, R. Cramb, S.M. Davison, J.F. Dillon, M. Foulerton, E.M. Godfrey, et al.
Guidelines on the management of abnormal liver blood tests.
[132]
F.J. Escalada, P. Ezkurra, J.C. Ferrer, C. Ortega, C. Roldán, B. Fonte.
Análisis sobre los motivos de derivación de pacientes con diabetes mellitus tipo 2 entre atención primaria y atención especializada. Estudio Pathways.
Av Diabetol, 29 (2013), pp. 60-67
[133]
NICE.
Metabolic endoscopy and bariatric surgery, (2023),
[134]
L. Forga, R. Astorga, R. Albero, B. Barceló, S. Gaztambide, J. Jociles, et al.
Criterios de derivación desde atención primaria a atención especializada del paciente diabético.
Endocrinol Nutr., 52 (2005), pp. 30-35
[135]
T. Wan, A. Berzigotti.
Non-invasive assessment of non-alcoholic fatty liver disease: ultrasound and transient elastography in NAFLD and NASH.
Springer Nature., (2020),
[136]
C. Crossan, A. Majumdar, A. Srivastava, D. Thorburn, W. Rosenberg, M. Pinzani, et al.
Referral pathways for patients with NAFLD based on non-invasive fibrosis tests: Diagnostic accuracy and cost analysis.
Liver Int., 39 (2019), pp. 2052-2060
[137]
M. Romero-Gómez, R. Aller, J. Ampuero, C. Fernández Rodríguez, S. Augustín, R. Latorre, et al.
AEEH "Consensus about detection and referral of hidden prevalent liver diseases".
Gastroenterol Hepatol., 46 (2023), pp. 236-247
[138]
Y. Sánchez-Torrijos, J. Ampuero, D. Pérez Palacios, R. Gallego-Durán, M. Romero-Gómez.
Analysis of the burden and variability in the management of NAFLD patients in the clinical practice: unifying the required criteria.
Rev Esp Enferm Dig., 111 (2019), pp. 270-274
[139]
J. Boursier, H. Hagström, M. Ekstedt, C. Moreau, M. Bonacci, S. Cure, et al.
Non-invasive tests accurately stratify patients with NAFLD based on their risk of liver-related events.
J Hepatol., 76 (2022), pp. 1013-1020
[140]
S.M. Francque, G. Marchesini, A. Kautz, M. Walmsley, R. Dorner, J.V. Lazarus, et al.
Non-alcoholic fatty liver disease: a patient guideline.
JHEP Rep, 3 (2021),
[141]
E.J. Warm.
Diabetes and the chronic care model: a review.
Curr Diabetes Rev., 3 (2007), pp. 219-225
[142]
J.H. Brettel, U. Manuwald, H. Hornstein, J. Kugler, U. Rothe.
Chronic-care-management programs for multimorbid patients with diabetes in europe: a scoping review with the aim to identify the best practice.
J Diabetes Res., 9 (2021),
[143]
M.Y.L. Siaw, J.Y.C. Lee.
Multidisciplinary collaborative care in the management of patients with uncontrolled diabetes: a systematic review and meta-analysis.
Int J Clin Pr., 73 (2019),
[144]
B. Pillay, A.C. Wootten, H. Crowe, N. Corcoran, B. Tran, P. Bowden, et al.
The impact of multidisciplinary team meetings on patient assessment, management and outcomes in oncology settings: A systematic review of the literature.
Cancer Treat Rev, 42 (2016), pp. 56-72
[145]
S. Kumar, R. Wong, C. Newberry, M. Yeung, J.M. Peña, R.Z. Sharaiha.
Multidisciplinary clinic models: a paradigm of care for management of NAFLD.
Hepatology, 74 (2021), pp. 3472-3478
[146]
A.J. Sanyal, S.S. Shankar, K.P. Yates, J. Bolognese, E. Daly, C.A. Dehn, et al.
Diagnostic performance of circulating biomarkers for non-alcoholic steatohepatitis.
Nat Med., 29 (2023), pp. 2656-2664

Appendix 1 lists the contributors to the Delphi 2.0 Consensus.

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