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Vol. 88. Núm. 5.
Páginas 423-431 (Diciembre 2018)
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Vol. 88. Núm. 5.
Páginas 423-431 (Diciembre 2018)
Clinic Research
DOI: 10.1016/j.acmx.2018.02.009
Open Access
Risk factors for three-vessel coronary artery disease in patients of Northwest Mexico
Factores de riesgo para la enfermedad arterial coronaria de tres vasos en pacientes del noroeste de México
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Cuitlahuac Arroyo-Rodrígueza, Olga Rosa Brito-Zuritab, Santiago Sandoval-Navarretec, Rogelio Solis-Vásqueza, José Manuel Ornelas-Aguirred,e,
Autor para correspondencia
jose.ornelasa@imss.gob.mx

Corresponding author. at: 2106 Paseo del Jardín, El Paraiso, Ciudad Obregón, Sonora, Mexico, Tel.: +52 64 4462 0471.
, Celestino Olea-Hernándeza, César Vásquez-Sernaa, Amanda Marcela Castelan-Ojedaa
a Cardiology Department, Hospital Number 2, High Specialty Medical Unit, Northwest National Medical Center of the Instituto Mexicano del Seguro Social at Ciudad Obregón, Sonora, Mexico
b Medical Center of the South of Sonora at Ciudad Obregón, Sonora, Mexico
c Hemodinamic Department, Hospital Number 2, High Specialty Medical Unit, Northwest National Medical Center of the Instituto Mexicano del Seguro Social at Ciudad Obregón, Sonora, Mexico
d Research and Education Department, Hospital Number 2, High Specialty Medical Unit, Northwest National Medical Center of the Instituto Mexicano del Seguro Social at Ciudad Obregón, Sonora, Mexico
e Health Sciences Department, University of Sonora at Ciudad Obregón, Sonora, Mexico
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Figuras (2)
Tablas (3)
Table 1. Coronary risk factors in the studied population.
Table 2. Anthropometric measures, glycemic control evaluation and clinical presentation of cardiovascular disease according to gender.
Table 3. SYNTAX score and left main coronary heart disease.
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Abstract
Introduction

Three-vessel coronary artery disease is an advanced manifestation of atherosclerosis, with high prevalence in Mexico.

Objective

The aim of this study was to describe coronary risk factors in a group of patients with three-vessel coronary artery disease in Northwest Mexico.

Methods

A cross sectional study was conducted on a population with three-vessel coronary artery disease from May 2015 to February 2016. The disease was defined when ≥70% stenosis was present in each major epicardial coronary artery. Anthropometric and biochemical parameters were measured in each patient. Ankle-Brachial Index was measured with vascular ultrasound, and Syntax score calculation with an on-line application. Statistical analysis for qualitative differences was performed using Pearson X2 test, with p<0.05 being considered as significant.

Results

The study included 100 patients, of whom 75 were male (mean age 63±9 years) and 25 female (mean age 69±9 years). The coronary risk factors observed were diabetes (58%), hypertension (86%), smoking (68%), dyslipidaemia (100%), metabolic syndrome (71%), and obesity/overweight (75%). Diabetes and metabolic syndrome prevalence was higher in women (p=0.03), but smoking was higher in men (76%, p=0.003). Ankle-Brachial Index was abnormal in 58% of patients, the mean Syntax score was in 36.9±11.5, and the prevalence of left main coronary heart disease was 36%.

Conclusions

This group of patients with complex coronary lesions has a high prevalence of coronary risk factors, which could represent a worse prognosis.

Keywords:
Coronary artery disease
Atherosclerosis
Risk factors
Syntax score
Ankle-Brachial Index
Mexico
Resumen
Introducción

La enfermedad coronaria de tres vasos (ECTV) es una manifestación avanzada de aterosclerosis, con alta prevalencia en el noroeste de México.

Objetivo

Describir los factores de riesgo coronario (FRC) en un grupo de enfermos con ECTV en el noroeste de México.

Métodos

De mayo de 2015 a febrero de 2016 se realizó un estudio transversal en una población del noroeste de México diagnosticada con ECTV. Se definió ECTV cuando existía estenosis ≥70% en cada una de las arterias coronarias epicárdicas mayores. Se midieron parámetros antropométricos y bioquímicos en cada paciente. Los parámetros para el índice tobillo-brazo (ITB) se obtuvieron con ultrasonido vascular (Edan SonoTrax 8Hz) y un cálculo de puntaje Syntax con una aplicación en línea. Análisis estadístico con χ2 de Pearson para diferencias cualitativas Se consideró significativo cuando p0.05.

Resultados

Se estudiaron 25 mujeres (edad 69±9 años) y 75 varones (edad 63±9 años). Los FRC observados fueron diabetes (58%), hipertensión (86%), antecedente de tabaquismo (68%), dislipidemia (100%), síndrome metabólico (71%) y sobrepeso/obesidad (75%). En las mujeres la prevalencia de diabetes y síndrome metabólico fue mayor que en los varones (p=0.03), pero el tabaquismo fue más prevalente en los varones (76%, p=0.003). El ITB se encontró anormal en el 58% de los pacientes, el puntaje Syntax promedio fue de 36.9±11.5 y la prevalencia de la enfermedad del tronco de la arteria coronaria izquierda fue del 36%.

Conclusión

En este grupo de estudio con lesiones coronarias complejas existe alta prevalencia de FRC que se refleja en y posiblemente un peor pronóstico.

Palabras clave:
Enfermedad arterial coronaria
Aterosclerosis
Factores de riesgo
Puntaje Syntax
Índice tobillo-brazo
México
Texto completo
Introduction

Cardiovascular disease is the main cause of death in the world.1 Mechanism beyond coronary artery disease is atherosclerosis2 and risk factors to develop it were described for the first time by Framingham and are: arterial systemic hypertension (ASH), diabetes mellitus (DM), hypercholesterolemia and smoking.3

Smoking, sedentarism, atherogenic diet, arterial systemic hypertension, diabetes mellitus, obesity, dyslipidemia and metabolic syndrome are considered modifiable risk factors. Instead; masculine gender, chronic kidney disease, postmenopausal state, advanced age and coronary disease family background are non-modifiable factors.4–6 Also, considered as emergent coronary risk factors are: high sensibility to C reactive protein (HS-CRP), hyperhomocysteinemia, glycemic fast concentrations, leukocyte counting as well as coronary calcium score measured by computed tomography, Ankle-Brachial Index (ABI), periodontal disease, lipoprotein levels and carotid artery intima media thickness.7 However current evidence does not sustain a routinely measurement for vascular risk stratification.8

On the other side, three-vessel coronary artery disease (TVCAD) is an atherosclerosis advanced manifestation and it is defined as a stenosis ≥70% in each major epicardial coronary artery.9 Most of these patients should require a revascularization strategy (surgical or percutaneous) to ameliorate their symptoms and life hope.10 Syntax score is an angiographic tool grading coronary lesions complexity and which allows obtaining evidence based on clinical practice guides and select the best revascularization techniques.11,12 This score is also used to analyze coronary anatomy, when an elevated value, a complex coronary anatomy associated to atherosclerotic damage is revealed.11,13 Studies in Mexican population reported high frequency of coronary risk factors (CRF) as obesity, diabetes mellitus, dyslipidemia, smoking, saturated fat intake.14,15 Nevertheless, there is no literature report about coronary risk factors in patients with three-vessel coronary artery disease. The objective of this study was to describe demographic, clinic, anthropometric, angiographic and biochemical characteristics in a group of patients with three-vessel coronary artery disease in Northwest México.

Methods

An observational and descriptive study was performed from May 2015 to February 2016 in a third level hospital at Instituto Mexicano del Seguro Social (IMSS) in ciudad Obregon, Sonora México. This is the regional referral hospital for four states in the northwest of Mexico (Sonora, Sinaloa, Baja California and Baja California Sur).

Mestizo population, older than 18 years were studied, all of them with three-vessel coronary disease diagnostic16 (stenosis ≥70% in each epicardial major coronary arteries). A convenience sampling of a hundred consecutive patients was obtained from May 2015 to February 2016. An analysis with the Kolmogorov–Smirnov test was performed to know the normality of the population prior to the analysis of results. Local Research Ethics Committee approved the protocol. Written informed consent for each patient was asked during hospital stay when three-vessel coronary disease was assessed by coronariographic study. Anthropometric measurements as weight, length/height for age, body mass and fat index (BMI) were obtained with light clothes, no shoes and using a Tanita TBF-215 body composition analyzer. Abdominal circumference ratio was assessed with the World Health Organization's recommendations17 and BMI calculated with Quetelet formula.18 Ankle-Brachial Index (ABI) was evaluated with a Sonotrax Edan 8Hz catheter and to interpret it, method measurements and abnormal definitions from the American Heart Association's scientific consensus were taken.19

After a 12h fast, blood samples were taken to qualify lipid, glucose, blood urea nitrogen (BUN), urea, creatinine, uric acid. All laboratory tests were performed with a AU680 Analyzer-Beckman Coultier, Inc equipment with clinical chemistry standardization methods. Glycosylated hemoglobin A1c fraction (HbA1c) was performed with a DCA Vantage Analyzer, SIEMENS (NGSP approved).

Syntax score was done by an interventional cardiologist who remained blind to patient's risk factors and got help from Syntax calculator version 2.11.13 Left ventricular ejection fraction (LVEF) as well as other clinical parameters were obtained from the clinical records, American Society for Echocardiography recommendations for LVEF were considered.20

Left main coronary artery disease was defined with ≥50% luminal stenosis by visual estimation during coronariography; systemic arterial hypertension with blood pressure ≥140/90mmHg or if users of antihypertensive treatment. Criteria for diabetes mellitus or metabolic syndrome were the ones recommended by American Diabetes Association (ADA) and International Diabetes Federation (IDF).21,22 Familiar background for cardiovascular disease was considered when one or more first grade family members have undergone acute myocardial infarction, cerebrovascular accident or cardiovascular death; in women, younger than 65 or in men younger than 55 years old.7 Sedentary lifestyle was set when patient had physical activity less than 30min, 5 days a week,23 smoking with intake > 100 cigarettes in patient's whole life, active smoking with an intake of at least a part of a cigarette in the last 30 days,24 to estimate packages/year: multiply smoking years by smoked packages of cigarettes daily. Hyperuricemia was diagnosed when uric acid was ≥7mg/dL and chronic renal disease when glomerular filtration rate (GFR) was <60mL/min.25

Dyslipidaemia was assessed with cholesterol values ≥200mg/dL, high-density lipoproteins (HDL-C) ≥40mg/dL, low-density lipoproteins (LDL-C) ≥100mg/dL or triglycerides level ≥150mg/dL. Stable or unstable angina, silent ischemia, acute myocardial infarction with or without ST-segment elevation (AMI with STSE or AMI without STSE) were classified according to the European Society of Cardiology and American Heart Association practice guidelines.26–28

SPSS program version 20 for Windows® was used for statistical analysis. Numerical variables were expressed as frequencies and percentages. Kolmogorov–Smirnov test was used to analyze the distribution of the data. To show differences among numerical variables with normal distribution and independent samples, a Student t test was used. Qualitative values were assessed with a Pearson–Fisher chi square test. A p0.05 was considered as a statistically significant difference.

Results

From the 25 women and 75 men studied, women had a higher average age than men when diagnosed (69±9.0 years old, p=0.002). A higher prevalence of metabolic syndrome was associated with feminine gender (88%), instead in males was 65% (p=0.03). On the opposite, 76% of men had smoking habit while there were just 44% of smoking women (p=0.003). In addition, previous cocaine use was present in 11% of men (p=0.09).

Related to chronic diseases, diabetes mellitus was found in 80% of women compared to 51% of men (p=0.01). No meaningful differences in arterial hypertension (p=0.74), cardiovascular disease (p=0.64) neither chronic renal disease (p=0.62) were found (Table 1). A noticeable difference in body fat was evident, being higher in women compared to men (40.3% versus 29.5%, p<0.001). Glycemic control was achieved in less than a 30% of both genders, with no differences between them (Table 2).

Table 1.

Coronary risk factors in the studied population.

  Men
n (%)
n=75 
Women
n (%)
n=25 
p* 
Age (years)  63±9.0  69±9.0  0.002§ 
Dyslipidaemiaa  75 (100)  25 (100)  0.57 
Hyperuricemiab  12 (18)  3 (13)  0.78 
Sedentary lifestyle  51 (68)  18 (72)  0.81 
Metabolic syndrome  49 (65)  22 (88)  0.03 
Prediabetesc  23 (31)  2 (8)  0.10 
Toxicomany
Smoking  57 (76)  11 (44)  0.003 
Cocained  8 (11)  0 (0)  0.09 
Diseases
Diabetes mellitus  38 (51)  20 (80)  0.01 
Arterial hypertension  64 (85)  22 (88)  0.74 
Cardiovascular diseasee  34 (54)  10 (40)  0.64 
Chronic renal diseasef  12 (16)  3 (12)  0.62 
Peripheral artery diseaseg  21 (28)  11 (44)  0.14 
With diabetes  15 (65)  6 (67)  0.94 
Without diabetes  8 (35)  3 (33)  0.94 
a

Defined as total cholesterol ≥200mg/dL, HDL-C ≤40mg/dL, triglyceride ≥150 or LDL-C ≥100mg/dL.

b

Acid levels ≥7mg/dL. Obtained in 68 from 75 men and 23 from 25 women.

c

A1C 5.7–6.4.

d

Defined as previous use of cocaine at least once.

e

Defined as previous background of acute coronary syndrome, coronary angioplasty, revascularization surgery or vascular cerebral event.

f

Defined as glomerular filtration rate <60mL/min.

g

Ankle-Brachial Index ≤0.9.

*

p value with Pearson X2.

§

p value with Student t test.

Table 2.

Anthropometric measures, glycemic control evaluation and clinical presentation of cardiovascular disease according to gender.

  Men
n (%)
n=75 
Women
n (%)
n=25 
p§ 
Anthropometry
Abdominal circumference  95.70±9.9  96.52±8.2  0.71Ω 
BMI  26.36±3.1  27.16±3.9  0.30Ω 
Body fat (%)  29.5  40.3  <0.001Ω 
Clinical laboratory tests
Hemoglobin A1C  7.01±1.8  7.58±1.6  0.18Ω 
Proper glycemic controla  11 (29)  6 (30)  0.77Ω 
Angina
Stable  38 (51)  7 (28)  0.05 
OMT+  10 (26)  3 (43)  0.78 
AIT+  14 (37)  3 (43)  0.76 
Unstable  13 (17)  12 (48)  <0.01 
OMT+  8 (62)  4 (33)  0.15 
AIT+  7 (54)  3 (25)  0.14 
Silent ischemia  3 (4)  0 (0)  0.31 
OMT+  0 (0)  0 (0)  1.00 
AIT+  1 (33)  0 (0)  1.00 
AMI with STSE*  13 (17)  5 (20)  0.31 
OMT+  0 (0)  1 (20)  1.00 
AIT+  0 (0)  1 (20)  1.00 
AMI without STSE**  8 (11)  1 (4)  0.76 
OMT+  1 (13)  0 (0)  1.00 
AIT+  4 (50)  0 (0)  1.00 

BMI=Body Mass Index.

STSE: ST segment elevation.

OMT: Optimal medical therapy (defined as the combination of at least one antiplatelet drug, statin, beta-blocker and angiotensin converting enzyme inhibitor/angiotensin receptor blocker).

AIT: Anti-ischemic therapy (defined as the combination of two or more antianginal drugs and at least one antiplatelet drug).

a

A1C (glycated hemoglobin) <7%.

*

Acute myocardial infarction with ST segment elevation.

**

Acute myocardial infarction without ST segment elevation.

§

p value with X2 test.

Ω

p value calculated using Student t test.

The most common clinical presentation of cardiovascular disease was stable angina (45%), and masculine group the most affected (51%). Whereas women group showed a higher frequency of unstable angina (48%), 3 cases in the masculine group got silent ischemia and a 28% acute infarction prevalence where most of the cases were AMI with STSE. Optimal medical therapy was established in 26% of males and 43% of females presenting as stable angina (p=0.78) (Table 2).

Ankle-Brachial Index was abnormal in 58% of the patients (ABI <1 or ≥1.4); 28% men and 44% women were diagnosed with peripheral arterial disease (ABI ≤0.9; p=0.14) (Fig. 1). Within the patients having peripheral artery disease 65% of males and 67% of females were diabetic (p=0.94). About Syntax score, no significative differences associated to gender were observed (p=0.56). No meaningful differences in left main coronary artery disease, as well as low, intermediate or high Syntax score (Table 3).

Figure 1.

Ankle-Brachial Index values according to gender.

Ankle-Brachial Index was normal if it was between 1.00 and 1.39.

Ankle-Brachial Index was abnormal if it was <1 or ≥1.4.

Peripheral arterial disease was diagnosed if Ankle-Brachial Index was ≤0.9.

Borderline arterial disease was diagnosed if Ankle-Brachial Index was between 0.91 and 0.99.

(0,35MB).
Table 3.

SYNTAX score and left main coronary heart disease.

  Men
n (%)
n=75 
Women
n (%)
n=25 
p 
Average SYNTAX score±S.D.a  37.3±11.6  35.7±11.5  0.56 
Left main coronary heart disease, nb  27 (36)  9 (36)  1.00 
Low SYNTAX score, nc  8 (11)  2 (8)  0.70 
Intermediate SYNTAX score, nd  27 (23)  7 (28)  0.46 
High SYNTAX score, ne  50 (67)  16 (64)  0.80 

S.D.=standard deviation.

a

t Student test was used to compare differences between genders.

b

X2 test was used to calculate differences between genders.

c

SYNTAX score ≤22.

d

SYNTAX score 23–32.

e

SYNTAX score ≥33.

Finally, 51% of patients got a left ventricular ejection fraction (LVEF) abnormally low. Thirty three percent of men and forty percent of women, got a left ventricular ejection fraction (LVEF), slightly abnormal. On the other hand, 6.7% of men and 12% of women showed a left ventricular ejection fraction, moderately abnormal (31–40%). And 9.3% of men and 4% of women resulted with a left ventricular ejection fraction, severely abnormal – equal to or less than 30% (Fig. 2).

Figure 2.

Left ventricular ejection fraction according to gender.

Normal: LVEF 52–72 for males and 54–74 for females.

Slightly abnormal: LFEF 41–51 for males and 41–53 for females.

Moderately abnormal: LVEF 30–40 for both genders.

Severely abnormal: LVEF <30.

LVEF: left ventricular ejection fraction %.

(0,07MB).
Discussion

Three-vessel coronary artery disease is an advanced manifestation of atherosclerosis,29 thus, most patients with this disease require a surgical or percutaneous strategy to improve their symptoms and prognostic. As it was also important to describe cardiovascular risk factors (CRF), in the present study; demographic, anthropometric, biochemical, angiographic and Ankle-Brachial Index are considered in a sample with three-vessel coronary artery disease in Northwest México.

Important to mention that diet and lifestyle changes in this people also affect .30 However, our study did not evaluate diet habits as a coronary risk factor which could be a limitation to suggest a relation with TVCAD. A high consumption of a diet rich in simple carbohydrates is very common and, fruit and vegetables are rarely eaten.31 Nevertheless, this does not fully explain the differences that some authors have suggested in relation to feeding as an independent cardiovascular risk factor, but it does take into account the presence of genetic factors identified in the Mexican population that could confer a greater risk as has been suggested.32,33

Traditional diet in this Mexican area includes saturated lipids in grilled meat, fresh cheese and tamales.30 Consequently, there is a high prevalence of diabetes mellitus, dyslipidemia, saturated lipids intake and smoking.14,15 The effects of cocaine are well-known, such as increased inotropic and chronotropic, vasoconstriction, pro thrombotic state, endothelial dysfunction and accelerated atherosclerosis.34,35 A finding of our study was that an 8% of the patients with TVCAD had been occasionally cocaine users. However, we did not find that this could have an association with the current clinical picture due to the age of presentation that is higher in these patients than described in people affected by cocaine use.

High prevalence of diabetes mellitus and metabolic syndrome is remarkable in the studied sample. Other researches in patients with three-vessel coronary artery disease like Syntax score, report a prevalence of just 25% for diabetes mellitus and 45% for metabolic syndrome.11 “CREDO Kyoto PCI/CABG registry cohort-2”, a Japanese study, reports diabetic with three-vessel coronary artery disease in only 50% of their population.36

Besides, another possible explanation for the differences found, could be the cut-off point to define a significative coronary stenosis. In Syntax study and “CREDO Kyoto PCI/CABG registry cohort-2” approaches, a 50% cutting point was the reference for a significative stenosis, whereas in our approach a 70% cutting point was used. This 70% was considered due to the discrepancies between the 50% cut-off point and the coronary blood flow (CBF) reserve ≤0.8 (considering the gold standard to diagnose a coronary stenosis ischemic potential). To use a 70% cut-off point improves angiographic specificity to detect ischemic potential in a coronary stenosis, even when it decreases its sensibility.37 A limitation of our study was the fact of taking only the evaluation of a single interventional cardiologist but who nevertheless had extensive experience and professional certification to do so.

Sociocultural and ethnical differences might also be involved in a higher risk profile in our sample, which could determine do not follow indicated treatment neither special diet as reduce salt consumption or improve physical activity, have a hypertensive control, etc.38 For instance, glycemic control was good enough just in 29% of the diabetic people. Considering diabetic and pre-diabetic subjects together, 81.36% of men and 88% of women had an abnormal glucose metabolism; alarming data due to the high morbidity and mortality in this group of patients.39

Dyslipidemia was the most common risk factor, despite the use of hypolipemiant drugs 100% of the sample registered any other lipid parameter away from target. Probably due to a lack of adjusting to therapeutic instructions or even more, to hereditary lipid disease with specific genomic mutations not measured in the present study.40 Therefore, sedentary lifestyle, atherogenic diet and tobacco consumption are essential factors that influence dyslipidemia in Northwest Mexican population.41

Ankle braquial index (ABI) ≤0.9 is associated with a higher mortality frequency as well as cardiovascular events.42 ABI ≥1.4 is related with acute myocardial infarction but not with an increase in mortality,43 and ABI limit value (0.91–0.99) is associated with endothelial dysfunction.44 Based on these and in accordance with the American Heart Association's scientific consensus to measure and interpret ABI, all values out of range from 1.00 to 1.39, are considered as abnormal,19 so it was found that 58% of studied sample had an abnormal ABI, higher in the right side and lower in theft side in men and abnormally low in both sides in women. Differences which might be due to a higher risk profile in women than men (women were older, with a higher diabetes load, metabolic syndrome and several types of dyslipidemia). Higher ABI mainly in the right side, has been associated with blood pressure measurement in 4 limbs (it usually starts in the right side, when patient could get an anxiety transitory rise in blood pressure, mitigated effect during blood pressure measurement in the rest of the limbs).19

Other possible explanations for this fact might be: muscular mass (most of the people is right-handed), embryologic development and anatomic preference atherosclerotic plaques formation in specific sites.45–47

Because of difficult coronary lesions in the studied sample, Syntax score was high in most patients (37±11.6). Compared with FREEDOM study, where Syntax score was 26.2±8.4 (a diabetic sample with 82.8% of patients with TVCAD)48; in Syntax study, the average was 28.8±11.5. Differences which could probably be explained for an adverse risk profile in our studied cases, but mainly, by using a ≥70% cut-off point (instead of a >50%) to define a meaningful coronary stenosis. It has been recently demonstrated that considering ≥70% cut-off point to indicate revascularization, decreases adverse events rate in a year and the number of stents used, also providing a much better functionality in revascularization strategy.49

Finally, a high prevalence of coronary risk factors and complex coronary anatomy (High Syntax scores) might lead to a worse prognosis than the reported from other researchers.10,39 SYNTAX II is score which combines coronary anatomy and clinical variables (age, renal function, left ventricular ejection fraction, gender, chronic obstructive pulmonary disease and peripheral artery disease), this recently developed score substantially increased the accuracy of identifying low (and high) risk patients compared to the anatomical SYNTAX score alone.50,51

Conclusions

Our study found a significant prevalence of diabetes mellitus, smoking and metabolic syndrome associated for three-vessel coronary artery disease at our studied sample. These might lead to complex coronary lesions and probably a worse prognostic.

Most patients showed an abnormal Ankle-Brachial Index sighting toward a generalized atherosclerosis.

Funding

We certify that no funding has been received for the conduct of this study and/or preparation of this manuscript.

Authors’ contribution

This author takes responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.

Arroyo-Rodríguez A. Cuitláhuac: Acquisition, analysis, interpretation of data for the work, drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Brito-Zurita Olga Rosa: Analysis, interpretation of data for the work, drafting the work and revising it critically for important intellectual content.

Sandoval-Navarrete Santiago: Drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Solís-Vásquez Rogelio: Drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Ornelas-Aguirre José Manuel: Analysis, interpretation of data for the work, drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Olea-Hernández Celestino: Drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Vásquez-Serna César: Drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Castelan-Ojeda Amanda Marcela: Drafting the work and revising it critically for important intellectual content and approval of the version to be published.

Conflict of interest

We certify that all financial and material support for the conduct of this study and/or preparation of this manuscript was done by research group only.

Acknowledgements

Authors thank MSD México for supplying necessary material to obtain HbA1c as well as Dr. Enrique Sabag-Ruíz advice for statistical analysis.

References
[1]
R. Lozano, M. Naghavi, K. Foreman, et al.
Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.
[2]
P. Libby.
Mechanisms of acute coronary syndromes and their implications for therapy.
[3]
T.R. Dawber, F.E. Moore, G.V. Mann.
Coronary heart disease in the Framingham study.
[4]
T.A. Gaziano, D. Prabhakaran, J.M. Gaziano.
Global burden of cardiovascular disease.
Braunwald's heart disease: a textbook of cardiovascular medicine, 10th ed., Elsevier/Saunders, (2015), pp. 9-16
[5]
R.T. Gansevoort, R. Correa-Rotter, B.R. Hemmelgarn, et al.
Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention.
[6]
P.K. Whelton, R.M. Carey, W.S. Aronow, et al.
2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults.
[7]
D.C. Goff, D.M. Lloyd-Jones, G. Bennett, et al.
2013 ACC/AHA guideline on the assessment of cardiovascular risk. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.
J Am Coll Cardiol, 63 (2014), pp. 2935-2959
[8]
M. Helfand, D.I. Buckley, M. Freeman, et al.
Emerging risk factors for coronary heart disease: a summary of systematic reviews conducted for the U.S. Preventive Services Task Force.
[9]
A.E. Rodríguez, C. Fernández-Pereira, J. Mieres, et al.
Modifying angiographic Syntax score according to PCI strategy: lessons learnt from ERACI IV Study.
[10]
P.W. Serruys, M.-C. Morice, A.P. Kappetein, et al.
Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease.
[11]
G. Sianos, M.-A. Morel, A.P. Kappetein, et al.
The Syntax Score: an angiographic tool grading the complexity of coronary artery disease.
[12]
P. Kolh, S. Windecker, F. Alfonso, et al.
2014 ESC/EACTS Guidelines on myocardial revascularization: the Task Force on Myocardial Revascularization of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS). Developed with the special contribution of the European Association of Percutaneous Cardiovascular Interventions (EAPCI).
Eur J Cardiothorac Surg, 46 (2014), pp. 517-592
[13]
M. van Gameren.
Syntax score website. Syntax score working group.
(2016),
[14]
M. Rodríguez-Morán, F. Guerrero-Romero, O. Brito-Zurita, et al.
Cardiovascular risk factors and acculturation in Yaquis and Tepehuanos Indians from Mexico.
[15]
D. López-Hernández, A. Meaney-Martínez, O.E. Sánchez-Hernández, et al.
Criterio diagnóstico para hipoalfalipoproteinemia y punto de corte asociado con protección cardiovascular en una población mestiza mexicana.
Med Clín, 138 (2012), pp. 565-566
[16]
I. Silva-Zolezzi, A. Hidalgo-Miranda, J. Estrada-Gil, et al.
Analysis of genomic diversity in Mexican Mestizo populations to develop genomic medicine in Mexico.
Proc Natl Acad Sci U S A, 106 (2009), pp. 8611-8616
[17]
World Health Organization.
Waist circumference and waist–hip ratio: report of a WHO expert consultation,
[18]
G. Eknoyan.
Adolphe Quetelet (1796–1874) – the average man and indices of obesity.
[19]
V. Aboyans, M.H. Criqui, P. Abraham, et al.
Measurement and Interpretation of the Ankle-Brachial Index: a scientific statement from the American Heart Association.
[20]
R.M. Lang, L.P. Badano, V. Mor-Avi, et al.
Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.
[21]
American Diabetes Association.
Erratum. Classification and diagnosis of diabetes. Sec. 2.
In Standards of Medical Care in Diabetes – 2016, 39 (2016), pp. S13-S22
[22]
K.G.M. Alberti, P. Zimmet, J. Shaw.
The metabolic syndrome – a new worldwide definition.
[23]
A. Bauman, M. Lewicka, S. Schöppe.
The health benefits of physical activity in developing countries.
Organización Mundial de la Salud, (2005),
[24]
H. Ryan, A. Trosclair, J. Gfroerer.
Adult current smoking: differences in definitions and prevalence estimates – NHIS and NSDUH, 2008.
J Environ Public Health, 2012 (2012), pp. 1-11
[25]
M.W. Taal.
Risk factors: the kidneys find a voice in cardiovascular risk prediction.
[26]
G. Montalescot, U. Sechtem, S. Achenbach, et al.
2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology.
[27]
P.T. O’Gara, F.G. Kushner, D.D. Ascheim, et al.
2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.
[28]
E.A. Amsterdam, N.K. Wenger, R.G. Brindis, et al.
2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes.
[29]
Z. Gao, B. Xu, Y.J. Yang, et al.
Clinical and angiographic correlates of left ventricular dysfunction in patients with three vessel coronary disease.
Chin Med J (Engl), 125 (2012), pp. 4221-4225
[30]
S.A. Sandoval-Godoy, D.M. Camarena-Gómez.
Consumo de alimentos de la población sonorense: tradición versus internacionalización.
Centro de Investigación en Alimentación y Desarrollo, (2012), pp. 51-72
[31]
M.I. Ortega, M.E. Valencia.
Measuring the intakes of foods and nutrients of marginal populations in north-west Mexico.
[32]
J. Angeles-Martínez, R. Posadas-Sánchez, N. Pérez-Hernández, et al.
IL-15 polymorphisms are associated with subclinical atherosclerosis and cardiovascular risk factors. The Genetics of Atherosclerosis Disease (GEA) Mexican Study.
[33]
R. Posadas-Sánchez, N. Pérez-Hernández, J.M. Rodríguez-Pérez, et al.
Interleukin-27 polymorphisms are associated with premature coronary artery disease and metabolic parameters in the Mexican population: the genetics of atherosclerotic disease (GEA) Mexican study.
Oncotarget, (2017),
[34]
O. Havakuk, S.H. Rezkalla, R.A. Kloner.
The cardiovascular effects of cocaine.
[35]
K. Bachi, V. Mani, D. Jeyachandran, et al.
Vascular disease in cocaine addiction.
[36]
J. Tazaki, H. Shiomi, T. Morimoto, et al.
Three-year outcome after percutaneous coronary intervention and coronary artery bypass grafting in patients with triple-vessel coronary artery disease: observations from the CREDO-Kyoto PCI/CABG registry cohort-2.
EuroIntervention, 9 (2013), pp. 437-445
[37]
G. Toth, M. Hamilos, S. Pyxaras, et al.
Evolving concepts of angiogram: fractional flow reserve discordances in 4000 coronary stenoses.
[38]
C.M. Gijsberts, A. Seneviratna, L.P. de Carvalho, et al.
Ethnicity modifies associations between cardiovascular risk factors and disease severity in parallel Dutch and Singapore coronary cohorts. Devaney J, editor.
[39]
S.P. Marso, N. Mercado, A. Maehara, et al.
Plaque composition and clinical outcomes in acute coronary syndrome patients with metabolic syndrome or diabetes.
[40]
M. Farnier.
PCSK9: from discovery to therapeutic applications.
[41]
J.C. Escolà-Gil, J. Julve, B.A. Griffin, et al.
HDL and lifestyle interventions.
[42]
C.L. Heald, F.G.R. Fowkes, G.D. Murray, et al.
Risk of mortality and cardiovascular disease associated with the ankle-brachial index: systematic review.
[43]
E.J. Hendriks, J. Westerink, P.A. de Jong, et al.
Association of high ankle brachial index with incident cardiovascular disease and mortality in a high-risk population.
Arterioscler Thromb Vasc Biol, 36 (2016), pp. 412-417
[44]
M. Kajikawa, T. Maruhashi, Y. Iwamoto, et al.
Borderline ankle-brachial index value of 0.91–0.99 is associated with endothelial dysfunction.
Circ J, 78 (2014), pp. 1740-1745
[45]
A. Singer.
Segmental distribution of peripheral atherosclerosis.
[46]
C.M. Kramer.
Peripheral arterial disease assessment wall, perfusion, and spectroscopy.
Top Magn Reson Imaging, 18 (2007), pp. 357-369
[47]
B.R. Kwak, M. Bäck, M.L. Bochaton-Piallat, et al.
Biomechanical factors in atherosclerosis: mechanisms and clinical implications.
[48]
M.E. Farkouh, M. Domanski, L.A. Sleeper, et al.
Strategies for multivessel revascularization in patients with diabetes.
[49]
A.E. Rodríguez, C. Fernández-Pereira, J. Mieres, et al.
Modifying angiographic Syntax score according to PCI strategy: lessons learnt from ERACI IV Study.
[50]
V. Farooq, D. van Klaveren, E.W. Steyerberg, et al.
Anatomical and clinical characteristics to guide decision making between coronary artery bypass surgery and percutaneous coronary intervention for individual patients: development and validation of SYNTAX score II.
[51]
J. Escaned, A. Banning, V. Farooq, et al.
Rationale and design of the SYNTAX II trial evaluating the short to long-term outcomes of state-of-the-art percutaneous coronary revascularisation in patients with de novo three-vessel disease.
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