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Int. j. cardiovasc. sci. (Impr.) ; 34(5,supl.1): 55-65, Nov. 2021. tab, graf
Article in English | LILACS | ID: biblio-1346339

ABSTRACT

Abstract Background The analysis of the atherogenic potential of the lipid profile for biomarkers, such as the TG/HDL-c ratio, predicts cardiovascular risk better than isolated lipids. Objective To identify the TG/HDL-c cutoff points for multiple risks (hypertension, Diabetes Mellitus, obesity) and to evaluate the association between sociodemographic, clinical, laboratory, anthropometric, and life habit variables and the TG/HDL-c ratio in hypertensive and/or diabetic individuals in the context of Primary Health Care. Methods This was a cross-sectional study with 833 hypertensive and/or diabetic patients, conducted between August 2017 and April 2018. The cutoff point of the TG/HDL-c were obtained by the ROC curve. Cardiovascular risk was discriminated by TG/HDL-c, categorized by the cutoff and evaluated in relation to multiple risks. The magnitude of the association between TG/HDL-c and independent variables was estimated by logistic regression. The significance level of p<0.05 was adopted for all tests. Results The cutoff values of TG/HDL-c (3.26 for men and 2.72 for women) were more sensitive and less specific than those in the literature. Women (OR=1.90 and 95% CI 1.13-3.20) and men (OR=4.58 and 95% CI 1.78-11.76) with multiple risks, and white men, alcohol users, with a history of stroke, had a higher chance of altered GT/HDL-c. Increases in glycosylated hemoglobin, glycemia, and phosphorus in women, and cholesterol, glycemia, and microalbuminuria in men increased the chances of altered TG/HDL-c. Being a former smoker and black reduced the chance of altered TG/HDL-c in women. Conclusions TG/HDL-c proved to be a good indicator for habitual use in Primary Care.


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Primary Health Care , Triglycerides/blood , Heart Disease Risk Factors , Cholesterol, HDL/blood , Body Weights and Measures , Brazil , Biomarkers/blood , Cross-Sectional Studies , Diabetes Mellitus , Sociodemographic Factors , Hypertension , Life Style , Obesity
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