P034 THE INFLUENCE OF SOCIODEMOGRAPHICAL CHARACTERISTICS AND COMORBIDITIES ON SURVIVAL IN ADULTS WITH HTN IN COLOMBIA

Background and objective: Awareness of the impact of hypertension (HTN) on health enables the implementation of effective measures to control the disease. This study characterizes the survival of the Colombian adult population with hypertension. Methods: This longitudinal retrospective cohort study included adults diagnosed with HTN from July 1, 2013, to june 30, 2014, from the National Registry of Chronic Kidney Disease (NRCKD). The primary outcome was the time from diagnosis to all-cause mortality. The probability of from the date of diagnosis was estimated using Kaplan-Meier analysis. Log-rank test evaluated differences in survivor functions. Patients were followed from baseline until death, abandonment, or the end of follow-up on July 30, 2023. Results: Baseline characteristics: The analysis included 285,418 cases. The mean age at diagnosis was 59.17 ± 14.58 years. 61.25% were females, 67.13% were affiliated with third-payer insurance, and 28.81% resided in the Central region. At baseline, 36.77% of the study population had comorbidities, including diabetes mellitus (DM) or chronic kidney disease (CKD) or both. 36,110 all-cause deaths were recorded during the follow-up period. Survival analysis: The 10-year overall survival (OS) rate was 0.84 (95% CI 0.84–0.84). The unadjusted log-rank comparisons revealed a lower probability of survival for men compared to women (0.81 vs. 0.86, respectively) and for individuals with state insurance compared to those with third-party insurance (0.80 vs. 0.86, respectively). The survival rates were found to be lower in individuals with HTA, DM, and HTN at baseline (0.68) compared to those with HTN and CKD (0.78), HTN and DM (0.81), or only HTN (0.88) (p < 0.001). Conclusions: The survival of individuals with HTN is influenced by a variety of sociodemographic characteristics and can be further complicated by the presence of other comorbidities, which can potentially amplify the negative effects on an individual's health. These findings may be useful for decision-makers to focus on the identification of patients with different characteristics of risk.