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Inicio Annals of Hepatology Development of a prediction index for persistent acute kidney injury following o...
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Vol. 30. Issue 2. (In progress)
(July - December 2025)
Original article
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Development of a prediction index for persistent acute kidney injury following orthotopic liver transplant
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Noemi Del Toro-Cisnerosa, Francisco Javier Antiga-Lópezb, Karina C. Felix-Bauera, Adela Uribe-Péreza, Luis Angel Rivas-Sáncheza, Nayelli C Flores-Garcíac, Ignacio García-Juárezc, Olynka Vega-Vegaa,
Corresponding author
olynkavega@hotmail.com

Corresponding author.
a Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
b Centro Médico Toluca, State of Mexico, Mexico
c Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
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Table 1. Clinical characteristics of patients included in this study.
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Table 2. Bivariate and multivariate logistic regression analysis for factors associated with pAKI post-OLT.
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Table 3. Hospital outcomes and 5-year follow-up.
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Abstract
Introduction and Objectives

Acute kidney injury (AKI) is a common complication of orthotopic liver transplantation (OLT). This study aimed to identify factors associated with persistent AKI (pAKI) and to develop a risk index. The impact of pAKI on mortality and renal function over a 5-year period was also assessed.

Materials and Methods

In this retrospective cohort study, adult OLT recipients were included. pAKI was defined as AKI lasting >72 hours. Logistic regression identified pAKI-associated factors, which were used to create a risk index. Long-term renal function was then evaluated.

Results

Among 305 patients, 23 % developed pAKI. The median MELD (Model for End-stage Liver Disease) score was 17. Multivariate analysis identified male sex, reoperation, transfusion of >6 units of red blood cells, anhepatic time >50 minutes, and norepinephrine use >0.25 mcg/kg/min as significant risk factors. The risk index assigned 3 points each to male sex and norepinephrine use, and 5 points to the remaining factors. A score ≥11 had moderate performance (AUC 0.70) and a negative predictive value of 90 %. Patients with pAKI had longer ICU and hospital stays and higher in-hospital mortality. At 5 years, overall mortality did not differ significantly, but those with pAKI had a 10 ml/min/1.73m² lower eGFR.

Conclusions

pAKI is a frequent OLT complication, negatively affecting short-term outcomes and long-term renal function. The proposed risk index effectively identifies patients at low risk, supporting targeted monitoring and prevention.

Keywords:
Orthotopic liver transplantation
Acute kidney injury
Long term renal impact
AKI risk index
Abbreviations:
AKI
OLT
pAKI
MELD
AUC
ICU
eGFR
CKD
ESLD
SCr
KRT
Full Text
1Introduction

Orthotopic liver transplantation (OLT) is an effective therapeutic option for end-stage liver diseases. Even with improved results, higher survival rates and lower mortality observed over the last decades, this procedure is still associated with some complications, such as perioperative acute kidney injury (AKI). AKI post-OLT is considered a common complication, with an incidence rate reported as high as 40-70 % in some studies [1,2]. The underlying etiology is multifactorial and has not yet been fully elucidated.

Previous studies have found an association between several preoperative and perioperative variables and the development of the aforementioned complications. The main factors that have been identified include patient characteristics such as overweight and other comorbidities [2], preoperative diuretic use, operative technique, intraoperative hemodynamic instability, and postoperative care, including immunosuppressive therapy [3–6]. Furthermore, patients who develop this complication have worse short- and long-term outcomes, including longer intensive care unit (ICU) stay with prolonged mechanical ventilation [7], higher mortality, decreased graft survival, and adverse renal outcomes [1,4]. On the other hand, it has been estimated that in the long term, approximately 18-22 % of liver-transplant recipients develop chronic kidney disease (CKD) [8,9].

Thus, early identification of patients at a higher risk of developing AKI post-OLT is essential to establish prompt measures to improve the overall outcomes. Currently, there is no information available regarding the Latin American population; therefore, the relevance of our study is significant. This study aimed to identify the factors associated with the development of persistent AKI (pAKI) following OLT, and to develop an AKI risk index for this population. Furthermore, the impact of this complication on mortality and renal function over a 5-year follow-up period was analyzed.

2Materials and methods

A retrospective cohort study was conducted at the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán in Mexico City.

The cohort comprised of all adult patients with end-stage liver disease (ESLD) who underwent cadaveric OLT between January 2008 and December 2018. Exclusion criteria included advanced chronic kidney disease (estimated glomerular filtration rate (eGFR) ≤30mL/min/1.73m2), prior kidney transplantation and AKI upon admission. Information including demographic data, comorbidities, previous pharmacological treatment, previous hospitalizations, and AKI events prior to OLT was collected from the electronic medical records system. In addition, data on surgical procedures, such as surgery time, anhepatic time, bleeding, fluid balance, diuresis, transfusions, use of nephrotoxic drugs, and vasopressors were collected. Subsequently, we performed bivariate and multivariate analyses with significant and clinically plausible variables to predict pAKI and assigned a risk score according to odds ratios. Finally, we analyzed the trajectory of the eGFR and compared the outcomes of the two study groups: patients who developed pAKI and those without this complication. All the data were obtained from clinical records.

2.1Variable definitions

AKI was defined and staged according to the KDIGO guidelines [10] using the serum creatinine (SCr) criteria, without registering urine output [10]. Patients were staged according to the highest degree of AKI attained during hospitalization. Baseline SCr was defined as the mean SCr value corresponding to 6 months before hospitalization or the minimum SCr value obtained during hospitalization if the previous values were not available [11]. pAKI was defined as AKI that persisted for more than 72 hours after OLT [12]. The Charlson Comorbidity Index [13] was calculated to integrate the information on comorbidities.

2.2Statistical analysis

The distribution of continuous variables was assessed using the Kolmogorov-Smirnov test. Descriptive statistics are expressed as numbers (percentages), and medians (interquartile ranges), as appropriate. The baseline patient characteristics of the two study groups were analyzed using the Mann-Whitney U-test. Chi-square or Fisher’s exact test was used for the categorical variables.

The factors associated with pAKI were evaluated using univariate logistic regression. All variables with a p-value <0.05 and all factors previously reported to be associated with pAKI were selected for the multivariate analysis. The use of antibiotics and antifungals was significant in the univariate analysis; however, they were not included in the multivariate model because they are collinear with the use of vasopressors (antibiotics were administered empirically to unstable patients) and transfusions/reoperations (these are criteria for prophylaxis of invasive fungal infections), respectively [14]. The surgical technique was not included in the analysis because the conventional technique used in our institution is total vascular exclusion. The cold ischemia time was not available in most cases. For the development of the pAKI risk index, variables that were significant in the multivariate analysis were considered, and a score was assigned to them according to the odds ratio obtained in the multivariate analysis. The final score was obtained by adding points for each risk factor to the patient. The renal trajectory was analyzed over a 5-year follow-up period after OLT, and the results are reported as eGFR according to the CKD-EPI formula [15].

For all variables, there were less than 1 % missing values, and for missing data, variables were attributed by using multiple imputations.

All statistical tests were two-sided, and a p-value below 0.05 was considered statistically significant. All analyses were performed using the Statistical Package for the Social Sciences 25.0 (IBM, Armonk, NY, USA).

2.3Ethical statements

The study protocol complies with the ethical guidelines of the 1975 Declaration of Helsinki and was approved by your institution's ethics committee (NMM- 4660-23-23-1). Written informed consent was waived due to the retrospective nature of the study. The data obtained in the present study were collected from the electronic medical record.

3Results

Between January 2008 and December 2018, 332 patients underwent OLT. Of these, 305 patients met our inclusion criteria (Fig. S1). The baseline characteristics of all the included patients are shown in Table 1 and Table S1. The prevalence of AKI was 34 %, however the prevalence of persistent AKI was 23 %, of which 41 % was stage 1, 20 % stage 2, and 39 % stage 3. SCr levels both at baseline and at admission to the hospital for OLT were higher in patients who developed pAKI (p<0.01 for both variables, Table 1).

Table 1.

Clinical characteristics of patients included in this study.

  Persistent AKI (n = 70)  No AKI(n = 235)  p-value 
Demographics
Age, years  54 (45-61)  51 (40-59)  0.08 
Male, n (%)  48 (69)  100 (43)  <0.01 
Hepatocellular carcinoma, n (%)  8 (11)  54 (23)  0.05 
Índice de Charlson, n (%)  4 (3-5)  4 (3-5)  0.84 
MELD score  18 (14-22)  17 (14-21)  0.54 
Kidney function
Baseline SCr, mg/dL  0.8 (0.7-1.0)  0.7 (0.6-0.9)  <0.01 
SCr at OLT, mg/dL  0.9 (0.8-1.3)  0.8 (0.6-0.9)  <0.01 
AKI 3 months previous OLT, n (%)  15 (21)  33 (14)  0.13 
Use of diuretics previous OLT, n (%)  53 (76)  165 (70)  0.29 
OLT surgery
Surgery time, hours  7 (5-8)  6 (5-8)  0.07 
Surgery bleeding, liters  3 (1.6-6)  2 (1.2-3)  <0.01 
Anhepatic time, minutes  57 (52-66)  55 (49-60)  0.08 
Norepinephrine >0.25mcg/kg/min, n (%)  49 (70)  133 (57)  0.07 
Ascites drainage in OLT, n (%)  35 (50)  85 (36)  <0.01 
Ascites drainage in OLT, mL  2500 (0-5000)  0 (0-3000)  <0.01 
Post OLT in ICU
Antibiotics, n (%)  54 (77)  145 (62)  <0.01 
Antifungals, n (%)  41 (59)  85 (36)  <0.01 
ICU transfusion, n (%)  22 (31)  39 (17)  <0.01 
Norepinephrine >0.25mcg/kg/min, n (%)  23 (33)  25 (11)  <0.01 
Reoperation, n (%)  12 (17)  10 (4)  <0.01 
Diuresis <500ml in the first 24h  18 (26)  31 (13)  0.01 

Note. Continuous variables are expressed as median (interquartile range).

Abbreviations. MELD, Model for End stage Liver Disease; OLT, orthotopic liver transplant; AKI, acute kidney injury; SCr, serum creatinine; ICU, intensive care unit.

3.1Factors associated with pAKI in OLT patients

The factors associated with pAKI were analyzed using logistic regression (Table 2). Age, male sex, ascites drainage of >2500 mL during liver transplantation, reoperation, red blood cell transfusion >6 units during OLT, anhepatic time >50 minutes and perioperative use of norepinephrine (>0.25mcg/kg/min) were associated with the occurrence of pAKI as disclosed by univariate analysis. In the multivariate analysis, all variables remained significant, except for age and ascites drainage during OLT. These risk factors were used to create a risk score for pAKI in OLT.

Table 2.

Bivariate and multivariate logistic regression analysis for factors associated with pAKI post-OLT.

    BivariateMultivariate
Characteristic  OR  95 %IC  p-value  OR  95 %CI  p-value 
Age, per year  1.019  0.997-1.042  0.097  1.039  0.998-1.076  0.051 
Male, vs female  2.945  1.671-5.193  0.000  3.683  1.561-8.692  0.003 
Ascites drainage in OLT >2500 mL, Vs no  2.311  1.213-4.401  0.011  1.814  0.804-4.089  0.151 
Reoperation, Vs no  4.736  1.947-11.520  0.001  5.225  1.016-26.881  0.048 
Red Blood cell transfusion >6units, Vs no  3.778  2.080-6.861  0.000  5.195  2.238-12.058  0.000 
Anhepatic time >50 min, Vs no  2.769  1.190-6.443  0.018  5.633  1.587-19.991  0.007 
Norepinephrine perioperative >0.25mcg/kg/min, Vs no  2.444  1.299-4.598  0.006  3.664  1.394-9.635  0.008 
3.2pAKI risk score in OLT recipients

According to the risk variables obtained in the multivariate analysis and keeping the odds ratio as a score for the risk index, 3 points were assigned to male sex and use of perioperative norepinephrine, and the rest of the variables (reoperation, transfusion of >6 blood cell units, and anhepatic time >50 minutes) were awarded 5 points. The scores obtained for each variable were summed to obtain the final score. The best cutoff point was established at 11 points, with an area under the curve (AUC) of 0.70, sensitivity 74 %, specificity 66 %, negative predictive value 90 % and positive predictive value 40 %. According to this prediction index, the risk of developing pAKI with a score of <10 points was 10 %, between 11-14 points it was 26 % and with >15 points, the risk rose up to 54 % (Fig. 1).

Fig. 1.

AKI risk score in OLT patients.

(0.2MB).
3.3Outcomes associated with pAKI in OLT patients

Twenty patients (29 %) with pAKI required kidney replacement therapy (KRT), and 3 were dependent on hemodialysis at discharge. The KRT modalities used were intermittent hemodialysis in 11 (55 %) patients, continuous kidney replacement therapy in 5 (25 %), and prolonged intermittent renal replacement therapy in 4 (20 %).

The pAKI group had longer ICU and hospital stays, and higher SCr levels at discharge. During hospitalization, 11 patients died, of which 8 (73 %) belonged to the group of patients with pAKI and 3 to the group without pAKI (p = 0.001). The causes of death in patients with pAKI were sepsis in 63 % and coagulopathy in 37 %. At the 5-year follow-up, 29 patients died, with no difference between the two groups (Table 3).

Table 3.

Hospital outcomes and 5-year follow-up.

  Persistent AKI (n = 70)  No AKI(n = 235)  p-value 
SCr at hospital discharge, mg/dL  1.0 (0.8-1.3)  0.7 (0.5-0.9)  <0.01 
Length of ICU stay, days  5 (3-8)  3 (2-4)  <0.01 
Length of hospitalization, days  16 (9-28)  11 (8-16)  <0.01 
Death in hospital, n (%)  8 (11)  3 (1)  <0.01 
Death at 5 years, n (%)  10 (14)  19 (8)  0.07 

In the 5-year follow-up, the group of patients with pAKI had a 10 ml/min/1.73m2 decrease in eGFR compared to those without this complication (73 vs 83 ml/min/1.73m², p = 0.006, Fig. 2). 33 % of the patients with pAKI had an eGFR <60 ml/min/1.73 m2 at 5 years of follow-up.

Fig. 2.

Estimated glomerular filtration rate (eGFR) in the post-OLT follow-up between those who presented persistent AKI and no AKI.

*Data are shown in medians and standard error.

(0.2MB).
4Discussion

In the present study the prevalence of pAKI post-OLT was 23 %, of which 41 % was stage 1, 20 % stage 2, and 39 % stage 3. The incidence reported in the literature is highly variable, reaching up to 50 % in some cases, however different operational definitions have been used, and some of them include urine output, which was not used in this study [4,16,17]. For the purpose of this study, we used the definition of pAKI [12] because short- and long-term outcomes are worse with greater severity and duration of renal insult [18,19].

As previously mentioned, various perioperative factors are associated with the risk of developing AKI after OLT. In this study, by using regression models, we found that male sex, reoperation, transfusion of >6 red blood cell units, anhepatic time of >50 minutes, and use of perioperative norepinephrine (>0.25mcg/kg/min), were significantly associated to the development of pAKI. Previous studies have documented that female sex confers a higher risk of AKI despite the protective effects of estrogen in cardiovascular diseases [4,20]. In our study, male sex was a risk factor for developing pAKI; this has been attributed to androgens, particularly testosterone, which increase oxidative stress and target organ damage [4,17,21]. As expected, any event that compromises renal perfusion during surgery can trigger AKI post-OLT or worsen pre-existing AKI [22,23]. In a meta-analysis carried out by Zhou et al [6], intraoperative hypotension with a high vasopressor requirement and bleeding requiring transfusion were some of the factors associated with this outcome, which were also found to be significant in this study. Anhepatic or clamping time is a recognized intraoperative risk factor for the development of AKI post OLT. Several studies have reported that the longer the clamping time, the higher the risk of developing AKI [24,25]. This occurs because during anhepatic time, a series of hemodynamic changes take place, resulting in a decrease in the mean blood pressure, which in turn lowers renal perfusion [25]. In accordance with these hemodynamic changes, in our study, anhepatic time of >50 min was associated with a higher risk of developing persistent AKI.

Using the risk factors found in this study, which have been documented as factors for the development of AKI, we created a risk score with adequate discrimination in this population. Some studies have carried out risk models for AKI based predominantly on MELD, MELD-Na and Child-Pugh score with areas under the curve between 0.6-0.8, operative time and transfusion with increased risk of AKI by 60-70 % [26–28]. In this study, patients had high MELD scores and the majority corresponded to Child-Pugh C, except for those transplanted with hepatocellular carcinoma who were Child-Pugh A.

Twenty-nine percent of the patients with pAKI required KRT, and the modalities of KRT varied depending on the criteria for its initiation (hyperkalemia, hemodynamic instability, or fluid overload). In the literature, the incidence of KRT in this population is 10-15 % [17,29]; however, the characteristics of the population that require it are similar: unstable patients and high vasopressor requirements, with significant bleeding during the procedure, and higher previous MELD scores.

The development of pAKI was associated with longer ICU and hospital stays in general; similar results have been reported in other studies [1,30]. Interestingly, the impact on mortality in the pAKI group was greater during hospitalization; however, there were no differences in the 5-year follow-up between the groups at this outcome.

There was a constant decrease in eGFR during follow-up of these patients, and the group with a history of pAKI showed a greater decrease than the group without pAKI. Various studies have documented a significant drop in eGFR at follow-up even one year after the transplant, as well as an increased risk of developing CKD in the long term [1,4,31]. At 5-year follow-up, 33 % of patients with pAKI had an eGFR <60 ml/min/1.73m2 compared to 19 % of patients without pAKI, a median eGFR difference of 10ml/min/1.73m² was observed between the groups. Previous studies have shown that the incidence of CKD after OLT ranges from 17.1 % to 40.9 %. One of the reasons for this large difference may be related to the length of follow-up, as the incidence increased with time after OLT [32].

This study has some limitations. First, it was a retrospective study, and the data were obtained from the medical records. The urinary volume was not used in the definition of AKI, nor was the immunosuppression regimens used in these patients. However, the main strength of the study is that it is one of the first to focus on pAKI in Latin American patients undergoing OLT. External validation was not performed, so the risk score needs to be validated with another cohort and in populations from other healthcare centers. The factors associated with this outcome could help identify patients who could benefit from nephroprotective strategies as well as those who require close nephrological surveillance during their follow-up.

5Conclusions

In conclusion, this study showed that pAKI is a common complication of OLT, with a prevalence of 23 % and its development has a negative impact on both short- and long-term outcomes. Male sex, reoperation, red blood cell transfusion >6 units during OLT, anhepatic time of >50 minutes, and use of perioperative norepinephrine >0.25mcg/kg/min were the main risk factors associated with this complication. The proposed risk index performs well in identifying patients who are unlikely to develop this complication, with a negative predictive value of 90 %. In the 5-year follow-up, those with a history of pAKI post-OLT were found to have a greater decrease in eGFR, which highlights the importance of finding strategies to reduce the risk of developing perioperative AKI in these patients.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author contributions

Conceptualization: O.V.V. and N.T.C.; Mehodology: N.T.C. and N.T.C.; Investigation: F.J.A.L., K.C.F.B., A.U.P. and L.A.R.S.; Formal analysis: N.T.C.: Writing original draft: N.T.C. and L.A.R.S.; Writing-review & editing: O.V.V., N.C.F.G. and I.G.J. All authors read and approved the final version of the manuscript.

Data availability statement

All data generated or analyzed during this study are included in this article. Further inquiries can be directed to the corresponding authors.

References
[1]
C. Thongprayoon, W. Kaewput, N. Thamcharoen, T. Bathini, K. Watthanasuntorn, P. Lertjitbanjong, et al.
Incidence and impact of acute kidney injury after liver transplantation: a meta-analysis.
J Clin Med, 8 (2019), pp. 372
[2]
J. Zhou, L. Lyu, L. Zhu, Y. Liang, H. Dong, H. Chu.
Association of overweight with postoperative acute kidney injury among patients receiving orthotopic liver transplantation: an observational cohort study.
BMC Nephrol, 21 (2020), pp. 223
[3]
R.J. Berkowitz, M.C. Engoren, G. Mentz, P. Sharma, S.S. Kumar, R. Davis, et al.
Intraoperative risk factors of acute kidney injury after liver transplantation.
Liver Transpl, 28 (2022), pp. 1207-1223
[4]
I.A. Hilmi, D. Damian, A. Al-Khafaji, R. Planinsic, C. Boucek, T. Sakai, et al.
Acute kidney injury following orthotopic liver transplantation: incidence, risk factors, and effects on patient and graft outcomes.
Br J Anaesth, 114 (2015), pp. 919-926
[5]
W. Xin, W. Yi, H. Liu, L. Haixia, L. Dongdong, Y. Ma, et al.
Early prediction of acute kidney injury after liver transplantation by scoring system and decision tree.
Ren Fail, 43 (2021), pp. 1137-1145
[6]
J. Zhou, X. Zhang, L. Lyu, X. Ma, G. Miao, H. Chu.
Modifiable risk factors of acute kidney injury after liver transplantation: a systematic review and meta-analysis.
BMC Nephrol, 22 (2021), pp. 149
[7]
L. Tan, Y. Yang, G. Ma, T. Zhu, J. Yang, H. Liu, et al.
Early acute kidney injury after liver transplantation in patients with normal preoperative renal function.
Clin Res Hepatol Gastroenterol, 43 (2019), pp. 475-482
[8]
A.O. Ojo, P.J. Held, F.K. Port, R.A. Wolfe, A.B. Leichtman, E.W. Young, et al.
Chronic renal failure after transplantation of a nonrenal organ.
N Engl J Med, 349 (2003), pp. 931-940
[9]
P. Sharma, K. Welch, R. Eikstadt, J.A. Marrero, R.J. Fontana, A.S. Lok.
Renal outcomes after liver transplantation in the model for end-stage liver disease era.
Liver Transpl, 15 (2009), pp. 1142-1148
[10]
Summary of Recommendation Statements.
Kidney Int Suppl, 2 (2012), pp. 8-12
[11]
E.D. Siew, M.E. Matheny.
Choice of reference serum creatinine in defining acute kidney injury.
Nephron, 131 (2015), pp. 107-112
[12]
S. Perinel, F. Vincent, A. Lautrette, J. Dellamonica, C. Mariat, F. Zeni, et al.
Transient and persistent acute kidney injury and the risk of hospital mortality in critically ill patients: results of a multicenter cohort study.
Crit Care Med, 43 (2015), pp. e269-e275
[13]
M.E. Charlson, P. Pompei, K.L. Ales, CR. MacKenzie.
A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.
J Chronic Dis, 40 (1987), pp. 373-383
[14]
J. Gavaldà, Y. Meije, J. Fortún, E. Roilides, F. Saliba, O. Lortholary, et al.
Invasive fungal infections in solid organ transplant recipients.
Clin Microbiol Infect, 7 (2014), pp. 27-48
[15]
S. Lu, K. Robyak, Y. Zhu.
The CKD-EPI 2021 equation and other creatinine-based race-independent egfr equations in chronic kidney disease diagnosis and staging.
J Appl Lab Med, (2023), pp. jfad047
[16]
A. Mrzljak, L. Franusic, J. Pavicic-Saric, T. Kelava, Z. Jurekovic, B. Kocman, et al.
Pre- and intraoperative predictors of acute kidney injury after liver transplantation.
World J Clin Cases, 8 (2020), pp. 4034-4042
[17]
R. Catalán, J.V. Jiménez-Ceja, R. Rincón-Pedrero, A. Olivas-Martínez, A.J. Martínez-Rueda, S. Bazúa-Valenti, et al.
Factors associated with development of acute kidney injury after liver transplantation.
Rev Invest Clin, 74 (2022), pp. 090-096
[18]
J.A. Kellum, P. Romagnani, G. Ashuntantang, C. Ronco, A. Zarbock, HJ. Anders.
Acute kidney injury.
Nat Rev Dis Primers, 7 (2021), pp. 52
[19]
K. Nagata, T. Horino, Y. Hatakeyama, T. Matsumoto, Y. Terada, Y. Okuhara.
Effects of transient acute kidney injury, persistent acute kidney injury and acute kidney disease on the long-term renal prognosis after an initial acute kidney injury event.
Nephrology, 26 (2021), pp. 312-318
[20]
H.W. Baker, H.G. Burger, D.M. de Kretser, A. Dulmanis, B. Hudson, S. O&apos;Connor, et al.
A study of the endocrine manifestations of hepatic cirrhosis.
Q J Med, 45 (1976), pp. 145-178
[21]
E.B. Fortescue, D.W. Bates, GM. Chertow.
Predicting acute renal failure after coronary bypass surgery: cross-validation of two risk-stratification algorithms.
Kidney Int, 57 (2000), pp. 2594-2602
[22]
J.E. de Haan, E.J. Hoorn, HRH. de Geus.
Acute kidney injury after liver transplantation: recent insights and future perspectives.
Best Pract Res Clin Gastroenterol, 31 (2017), pp. 161-169
[23]
J.A. Leithead, N. Rajoriya, B.K. Gunson, P. Muiesan, JW. Ferguson.
The evolving use of higher risk grafts is associated with an increased incidence of acute kidney injury after liver transplantation.
J Hepatol, 60 (2014), pp. 1180-1186
[24]
A. Kundakci, A. Pirat, O. Komurcu, A. Torgay, H. Karakayalı, G. Arslan, et al.
Rifle criteria for acute kidney dysfunction following liver transplantation: incidence and risk factors.
Transplant Proc, 42 (2010), pp. 4171-4174
[25]
X. Chen, X. Ding, B. Shen, J. Teng, J. Zou, Wang Tet al.
Incidence and outcomes of acute kidney injury in patients with hepatocellular carcinoma after liver transplantation.
J Cancer Res Clin Oncol, 143 (2017), pp. 1337-1346
[26]
T.G. Romano, I. Schmidtbauer, F.M. Silva, C.E. Pompilio, L.A. D&apos;Albuquerque, E. Macedo.
Role of MELD score and serum creatinine as prognostic tools for the development of acute kidney injury after liver transplantation.
[27]
B. Bao, W. Wang, Y. Wang, Q. Chen.
A prediction score model and survival analysis of acute kidney injury following orthotopic liver transplantation in adults.
Ann Palliat Med, 10 (2021), pp. 6168-6179
[28]
Y. Wang, Q. Li, T. Ma, X. Liu, B. Wang, Z. Wu, S. Dang, Y. Lv, R. Wu.
Transfusion of older red blood cells increases the risk of acute kidney injury after orthotopic liver transplantation: a propensity score analysis.
Anesth Analg, 127 (2018), pp. 202-209
[29]
F. Durand, C. Francoz, S.K. Asrani, S. Khemichian, T.A. Pham, R.S. Sung, Y.S. Genyk, MK. Nadim.
Acute kidney injury after liver transplantation.
Transplantation, 102 (2018), pp. 1636-1649
[30]
Y.M. Barri, E.Q. Sanchez, L.W. Jennings, L.B. Melton, S. Hays, M.F. Levy, GB. Klintmalm.
Acute kidney injury following liver transplantation: definition and outcome.
Liver Transpl, 15 (2009), pp. 475-483
[31]
F. Fabrizi, M.F. Donato, R. Cerutti, F. Invernizzi, G. Porata, G. Frontini, et al.
Acute kidney injury and chronic kidney disease after liver transplant: a retrospective observational study.
Nefrologia, 42 (2022), pp. 41-49
[32]
Y. Duan, Z. Li, X. Wang, L. Cui, Z. Gao, H. Zhang.
Risk Factors and prognosis of new-onset chronic kidney disease following orthotopic liver transplantation: a retrospective case-control study.
Med Sci Monit, 27 (2021),
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¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos