Examinando por Autor "Olivar, Luis"
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Ítem Análisis clínico-epidemiológico de las subfracciones HDL2 y HDL3 en adultos de la ciudad de Maracaibo, Venezuela(Instituto Nacional de Salud. Lima, Perú, 2020) Linares, Sergia; Bermúdez, Valmore; Salazar, Juan; Nava, Manuel; Ortega, Ángel; Olivar, Luis; Calvo, María; Martínez, María Sofía; Morales-Carrasco, Alex; Chacín, Maricarmen; Rojas, JoselynObjetivo: Realizar un análisis clínico-epidemiológico de las subfracciones de colesterol unido a lipoproteinas de alta densidad (HDL-C, por sus siglas en inglés) en adultos de la ciudad de Maracaibo, Venezuela. Materiales y métodos: Se realizó un estudio descriptivo y transversal de la base de datos del Estudio de Prevalencia de Síndrome Metabólico de Maracaibo, que incluyó 359 individuos de ambos sexos, mayores de 18 años, a quienes se les determinó la concentración sérica de HDL3 y HDL2, así como el índice HDL2/ HDL3; evaluando sus niveles según características sociodemográficas, clínicas y bioquímicas. Resultados: La edad promedio de la población era 39,4 ± 15,2 años, y 51,5% era de sexo femenino. Solo se observaron diferencias en los niveles de HDL-C en aquellos sujetos con HDL-C bajas. Las mujeres con hipertriacilgliceridemia mostraron concentraciones séricas de HDL3 y HDL2 significativamente menores con respecto a aquellas con triacilglicéridos normales (p = 0,033); asimismo, se encontró una concentración menor de HDL3 y relación HDL2/HDL3 en aquellas con proteína C reactiva ultrasensible (PCR-us) elevada (p < 0,001). En hombres, se evidenció una concentración significativamente menor de HDL2 en aquellos con algún grado de hipertensión arterial (p = 0,031), insulinorresistencia (p = 0,050) y síndrome metabólico (p = 0,003); mientras que aquellos con PCR-us elevada mostraron una menor concentración de HDL3 (p = 0,011). Conclusión: Las subfracciones de HDL-C muestran un comportamiento clínico epidemiológico variable en adultos de la población de Maracaibo, con promedios más bajos en los hombres, diferencias en los niveles únicamente en aquellos con HDL-C bajas, y sin predominio de alguna subclase según las características sociodemográficas, clínicas y bioquímicas.Ítem Biochemical and clinical characterization of metabolic phenotypes: a cross-sectional study from Maracaibo city, Venezuela [version 1; referees: awaiting peer review](is published by F1000 Research Ltd, 2018-02) Bermudez, Valmore; Rojas, Joselyn; Salazar, Juan; Martinez, Maria Sofia; Olivar, Luis; Calvo, Maria Jose; Mindiola, Andres; Añez, Roberto; Wilches-Duran, Sandra; Cerda, Marcos; Graterol, Modesto; Graterol, Rosemily; Hernandez, Juan Diego; Garicano, Carlos; Velasco, ManuelBackground: 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.Ítem Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 1; referees: awaiting peer review](F1000 Research Ltd., 2017-08-07) Salazar, Juan; Bermúdez, Valmore; Calvo, María; Olivar, Luis; Luzardo, Eliana; Navarro, Carla; Mencia, Heysa; Martínez, María; Rivas-Ríos, José; Wilches-Durán, Sandra; Cerda, Marcos; Graterol, Modesto; Graterol, Rosemily; Garicano, Carlos; Hernández, Juan; Rojas, JoselynBackground: 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 ). 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.Ítem Prevalence of physical inactivity and associated cardiometabolic risk factors: A cross-sectional study(Saber UCV, Universidad Central de Venezuela, 2020) Salazar, Juan; Torres, Wheeler; Olivar, Luis; Gallo, Valeria; Luzardo, Eliana; Lameda, Víctor; Ramírez, Paola; Galbán, Néstor; Rojas, Milagros; Cano Ponce, Clímaco; Añez, Roberto; Chacín, Maricarmen; Bermúdez, ValmorePhysical inactivity represents a public health problem associated with non-communicable diseases. This study aimed to determine both general and domain-specific prevalence of physical inactivity as well as its association with cardiometabolic factors. Methods: A cross-sectional study was performed, including 2 230 adult individuals from both sexes from Maracaibo city.