Abstract 15377: Traditional Cardiovascular Risk Factors Do Not Fully Explain the Risk of CAD Population in Colombia

Abstract

Introduction: Major cardiovascular events occur even having reached LDL-C goals. Tolima department has the highest rate of cardiovascular mortality within Colombia. Hypothesis: in patients who underwent percutaneous coronary intervention (PCI) in a healthcare institution in Ibague Colombia, there is an increasing cardiovascular risk regardless of traditional risk factors. Methods: Descriptive, retrospective analysis of a cohort of patients with coronary artery disease (CAD) with PCI between 2020-2023. A multiple logistic regression model was developed, adjusted for predictors of CAD (Figure 1). Data was analyzed through R-4.3.0, JASP0.17.1 and Python3.11. Results: A sample size of 463 patients who underwent PCI was assessed (Table 1). Dyslipidemia was the most prevalent risk factor 43.2%(n=200). Mean LDL-C was 102, mean HDL was 38 and mean triglycerides was 186. The most incident coronary heart disease was NSTEMI 50.5%(n=234). Data was fitted into a logistic regression model accounting for comorbidities, risk factors and lipid profile values. Regression coefficients computed for CAD were around 0.07. Independent variables explain approximately 7 up to 16.1% of the variance observed in the dependent variable (Figure 1). Conclusions: In primary and secondary prevention for CAD, there is a high prevalence of risk factors. Although risk factors impact the outcome, they account for a relatively little variability within the model. Results imply that there are other key factors that contribute to the outcome and may not be measured currently. Further studies must be developed to evaluate markers in residual risk that may have an impact on the prognosis of patients with CAD.