Prevalence of dyslipidemia and its associated risk factors in hypertensive population: A single-center cross-sectional study in southern China

Abstract

Hypertension and dyslipidemia were important risk factors for cardiovascular diseases. This study adhered to stringent inclusion and exclusion criteria, ultimately incorporating 3522 participants for analysis. Data analysis included univariate regression, LASSO regression, and multifactorial regression to screen for key risk factors. The predictive power of the model was assessed by a nomogram model and ROC curve. Among matched patients with hypertension and dyslipidemia, the proportion of females was significantly higher than that of males (P < 0.001), and BMI increased significantly (P < 0.001). Univariate analysis showed that PLT, BMI, RSBP, TBIL, FBG, BUN, and smoking status were significantly associated with dyslipidemia (P < 0.05). PLT, BMI, and FBG contributed the most to the prediction of dyslipidemia. The ROC curve AUC of the nomogram model was 0.639, showing moderate predictive power, and the significance of these indicators was further verified by the Delong test (P < 0.001). ROC analysis showed high sensitivity and specificity for PLT, BMI, and FBG. This study found that the prevalence of dyslipidemia in hypertensive patients was significant and correlated with multiple factors, and BMI, PLT, and FBG were the most important predictors. The nomogram model was able to predict the occurrence of dyslipidemia at a moderate level.