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1.
F1000Res ; 7: 44, 2018.
Article in English | MEDLINE | ID: mdl-30210784

ABSTRACT

Background: Insulin resistance (IR) is a metabolic disorder related to atherosclerosis. Its measurement is of great importance not only as a marker of diabetes but also for cardiovascular disease. The aim of this research study was to evaluate the relationship between various IR indices and coronary risk in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub study, 1272 individuals of both genders were selected with the measurement of basal insulin and coronary risk according to the Framingham-Wilson formula calibrated for our population. The insulin resistance indices evaluated were HOMA2-IR, triglycerides and glucose index (TyG) and triglycerides/HDL ratio (TG/HDL). The predictive capacity and association between each index and the coronary risk event in 10 years were determined. Results: Of the evaluated population, 55.2% were female, 34.8% had a coronary risk ≥5% in 10 years, with the TG/HDL and TyG indices showing the highest AUC 0.712 (0.681-0.743) and 0.707 (0.675-0.739), respectively; compared to HOMA2-IR. Both were also the indices most associated with increased coronary risk, especially TG/HDL ≥3 with a higher association [OR = 2.83 (1.74-4.61); p<0.01] after multivariable adjustment. Conclusions: TyG (≥4.5) and TG/HDL (≥3) indices showed a great predictive capacity of higher coronary risk, with being TG/HDL more associated even after adjusting for abdominal obesity and hs-CRP. Therefore, these represent useful tools for determining IR.


Subject(s)
Coronary Artery Disease/epidemiology , Coronary Artery Disease/metabolism , Insulin Resistance , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Risk , Venezuela/epidemiology
2.
F1000Res ; 7: 230, 2018.
Article in English | MEDLINE | ID: mdl-35136588

ABSTRACT

Background: In 1980, Reuben Andresen observed that in certain individuals, obesity did not increase mortality, introducing an atypical phenotype called "healthy obese". Other studies reported that 10-15 % of lean individuals presented insulin resistance, hyperglycemia and dyslipidemia. The objective of this study was to evaluate biochemical and clinical characteristics of metabolic phenotypes in Maracaibo city. Methods: A descriptive, cross-sectional study with a randomized multistage sampling was performed including 1226 non diabetic individuals from both sexes. For phenotype definition, the subjects were first classified according to their BMI into Normal-Weight, Overweight and Obese; then divided in metabolically healthy and unhealthy using a two-step analysis cluster. To evaluate the relationship with coronary risk, a multiple logistic regression model was performed. Results: In the studied population, 5.2% (n=64) corresponded to unhealthy lean subjects, and 17.4% (n=217) to healthy obese subjects. Metabolically unhealthy normal-weight (MUNW) phenotype was found in males in 53.3% in contrast to 51.3% of metabolically unhealthy obese (MUO) phenotype found in females. An association between metabolically unhealthy phenotypes and a higher risk of a coronary event was found, especially for obese individuals (MHO: OR=1.85 CI95%: 1.11-3.09; p=0.02 and MUO: OR=2.09 CI95%: 1.34-3.28; p<0.01). Conclusion: Individuals with atypical metabolic phenotypes exist in Maracaibo city. Related factors may include insulin resistance, basal glucose levels, and triglycerides levels. Lastly, cardiovascular risk exhibited by healthy obese individuals should be classified in categories of major coronary risk related to lean subjects.

3.
Rev. argent. endocrinol. metab ; 54(4): 176-183, dic. 2017. graf, tab
Article in English | LILACS | ID: biblio-957985

ABSTRACT

Aim: Visceral obesity is one of the most intensely researched cardiometabolic risk factors in recent years; nonetheless, its accurate assessment remains a challenge in regions were socioeconomic conditions hinder the widespread use of diagnostic methods for this purpose, such as imaging tests. In this setting, Visceral Adiposity Index (VAI) may be a useful tool. Thus, the objective of this study was to determine the VAI cutoff in adult population from Maracaibo City, Venezuela. Methods: This is a descriptive, cross-sectional study with multi-staged sampling; 2026 subjects of both genders aged ≥18 years were selected from this database and had their VAI calculated. In order to determine VAI cutoffs, subsamples of metabolically healthy and sick individuals were determined, with 599 and 286 subjects, respectively. Gender-specific and general ROC curves were plotted in order to identify the most suitable cutoff according to sensitivity and specificity. Results: Median VAI in the selected sample was 1.67 (0.97-2.78). The optimal cutoff was determined to be 1.91, with 70.3% sensitivity, 70.3% specificity [AUC = 0.777 (0.745-0.808)]. No differences were found between genders. Analysis by age revealed VAI to have greater predictive power among subjects aged < 30 years (cutoff: 1.53), 78.6% sensitivity, 72.8% specificity [AUC = 0.797 (0.709-0.884)]. Conclusion: We suggest a VAI cutoff of 1.9 for define dysfunctional adiposity in our population, with age being an important factor in the epidemiologic behavior of this variable, particularly in younger individuals.


Objetivo: La obesidad central es uno de los factores de riesgo cardiometabólicos emergente más evaluado durante los últimos años, sin embargo, su medición de forma precisa resulta un reto en aquellas poblaciones cuyas condiciones económicas dificultan la realización de métodos diagnósticos complejos, como pruebas de imagen. Por ello el objetivo de este estudio es determinar el punto de corte del índice de adiposidad visceral (VAI) en sujetos adultos de la ciudad de Maracaibo, Venezuela. Métodos: Se seleccionó a 2.026 individuos de ambos sexos, mayores de 18 años, de la base de datos del Estudio de prevalencia de síndrome metabólico en la ciudad de Maracaibo, un estudio descriptivo, transversal, con muestreo multietápico. El VAI se calculó para cada sexo y para la estimación del punto corte se seleccionó a 599 sujetos sanos y 286 enfermos, realizándose curvas COR para identificar el mejor valor de acuerdo con la sensibilidad y la especificidad. Resultados: El promedio de VAI en la muestra seleccionada fue 1,67 (0,97-2,78). El punto de corte fue 1,91 (70,3% de sensibilidad y 70,3% de especificidad) con AUC = 0,777 (0,745-0,808), sin diferencias en el punto de corte según sexo. En el análisis por grupos etarios la mayor capacidad predictiva fue para el grupo < 30 años con AUC = 0,797 (0,709-0,884), con un punto de corte de 1,53 (78,6% de sensibilidad y 72,8% de especificidad). Conclusión: El punto de corte indicado para VAI en nuestra población es de 1,9; considerando la edad como un factor importante en su comportamiento, especialmente en los grupos más jóvenes.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Metabolic Syndrome/epidemiology , Obesity, Abdominal/complications , Venezuela/epidemiology , Cross-Sectional Studies/statistics & numerical data , Obesity, Abdominal/diagnosis
4.
Rev. colomb. cardiol ; 24(6): 583-591, nov.-dic. 2017. tab, graf
Article in English | LILACS, COLNAL | ID: biblio-900586

ABSTRACT

Abstract Introduction: The analysis of new cardiovascular risk factors is under an extensive debate in the cardiology and metabolic research fields. Objective: To determine the main factors that contribute to the classification of individuals with higher coronary risk in the adult population from Maracaibo, Venezuela. Methods: A descriptive, cross-sectional study with multistage random sampling in 1379 individuals belonging to the Maracaibo City Metabolic Syndrome Prevalence Study (MMSPS) was performed. They were classified according to the coronary risk by Framingham-Wilson equation adapted to our population. The association between various risk factors was evaluated by ordinal logistic regression models. Results: 1,379 subjects (females 55.9%; n = 771) were evaluated, 66.2% (n = 913) were classified with low coronary risk. In univariate ((2 = 112.35; p < 0.00001) and multivariate analysis [OR: 3.98 (2.39-6.63); p < 0.01], the main factors associated to be classified as the highest risk category were hypertriglyceridemia. Conclusion: There are several factors that should be included in predictive models use worldwide. The most important in our population were dyslipidemia such as hypertriglyceridemia, hyperlipoproteinemia (a) and insulin resistance.


Resumen Introducción: El análisis de nuevos factores de riesgo cardiovascular constituye un tema de amplio debate en la investigación cardio-metabólica. Objetivo: Determinar los principales factores que contribuyen a la clasificación de sujetos en las categorías de mayor riesgo coronario en individuos adultos de la ciudad de Maracaibo, Venezuela. Métodos: Estudio descriptivo, trasversal con muestreo aleatorio multietapas en 1.379 individuos pertenecientes al Estudio de Prevalencia de Síndrome Metabólico de la Ciudad de Maracaibo (EPSMM). Estos fueron clasificaron de acuerdo con el riesgo coronario mediante la fórmula Framingham-Wilson adaptada para nuestra población. Se evaluó la asociación entre diversos factores de riesgo mediante un modelo de regresión logística ordinal. Resultados: Se evaluaron 1.379 sujetos (mujeres: 55,9%; n = 771), de los cuales un 66,2% (n = 913) fueron clasificados en riesgo coronario bajo. Tanto en el contexto univariante ((2 = 112,35; p < 0,00001) como multivariante [OR: 3,98 (2,39-6,63); p < 0,01] el principal factor asociado para ser clasificado en las categorías de riesgo más elevado fue la hipertrigliceridemia. Conclusión: Existen numerosos factores que deberían ser incluidos en los modelos de predicción empleados en el mundo, en cuyo caso las dislipidemias: hipertrigliceridemia, hiperlipoproteinemia (a), e insulinorresistencia son las más importantes en nuestra población.


Subject(s)
Humans , Lipids , Disease Prevention , Insulin , Risk Factors
5.
F1000Res ; 6: 1337, 2017.
Article in English | MEDLINE | ID: mdl-29375810

ABSTRACT

Background: Insulin resistance (IR) evaluation is a fundamental goal in clinical and epidemiological research. However, the most widely used methods are difficult to apply to populations with low incomes. The triglyceride-glucose index (TGI) emerges as an alternative to use in daily clinical practice. Therefore the objective of this study was to determine an optimal cutoff point for the TGI in an adult population from Maracaibo, Venezuela. Methods: This is a sub-study of Maracaibo City Metabolic Syndrome Prevalence Study, a descriptive, cross-sectional study with random and multi-stage sampling. For this analysis, 2004 individuals of both genders ≥18 years old with basal insulin determination and triglycerides < 500 mg/dl were evaluated.. A reference population was selected according to clinical and metabolic criteria to plot ROC Curves specific for gender and age groups to determine the optimal cutoff point according to sensitivity and specificity.The TGI was calculated according to the equation: ln [Fasting triglyceride (mg / dl) x Fasting glucose (mg / dl)] / 2. Results: The TGI in the general population was 4.6±0.3 (male: 4.66±0.34 vs. female: 4.56±0.33, p=8.93x10 -10). The optimal cutoff point was 4.49, with a sensitivity of 82.6% and specificity of 82.1% (AUC=0.889, 95% CI: 0.854-0.924). There were no significant differences in the predictive capacity of the index when evaluated according to gender and age groups. Those individuals with TGI≥4.5 had higher HOMA2-IR averages than those with TGI <4.5 (2.48 vs 1.74, respectively, p<0.001). Conclusions: The TGI is a measure of interest to identify IR in the general population. We propose a single cutoff point of 4.5 to classify individuals with IR. Future studies should evaluate the predictive capacity of this index to determine atypical metabolic phenotypes, type 2 diabetes mellitus and even cardiovascular risk in our population.

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