Resumen

ROJAS, Susan; QUERALES, Marvin  y  VILLARINO VIVAS, Angel. Assessment of risk factors that predispose to hypertension through a logistic regression model. Salus [online]. 2016, vol.20, n.2, pp.18-23. ISSN 1316-7138.

High blood pressure (hypertension) is one of the risk factors that contribute most to cardiovascular disease. Adequate risk prediction models are needed to address prevention. The objective of this research was to evaluate the reproducibility of a logistic regression model in a population of Carabobo, Venezuela, and the introduction of new variables to improve the model. A total of 202 patients were assessed various risk factors of hypertension with which the reproducibility of an already proposed model was evaluated. Later, the introduction of new variables to the model that could improve it by using the stepwise logistic regression method was evaluated. The model risk prediction that serves as the basis of this study incorporates three variables: systolic blood pressure (SBP), age and body mass index (BMI), from which, in this work, only age and BMI were significant (p-value <0.000 and p <0.012 respectively). A second additional logistic regression assessed the introduction of new variables to the study, where only hypertriglyceridemic waist (HTW) phenotype helps to improve the predictive model of hypertension. Therefore, partial reproducibility of risk prediction model of hypertension was found, in addition to improving it by adding the variable HTW phenotype. We recommend further research in other Venezuelan populations and studies involving other clinical covariates.

Palabras clave : Hypertension; logistic regression; risk prediction model.

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