Clinical characterization and mortality predictors in a terminal hospital

Introduction: the stroke represents one of the main causes of morbidity and mortality globally, with a significant impact on public health. The identification of mortality predictors is essential for clinical decision making.Aim: characterize patients diagnosed with stroke and determine mortality predictors.Methods: an observational, analytical and retrospective study was carried out at the Dr. Miguel Enriquez Surgical Clinical Hospital from January to December 2024. The qualitative variables were summarized in absolute frequencies and percentages. The quantitative variables in average and standard deviation. To evaluate the association between qualitative variables the JI square test was applied. To determine the factors associated with mortality, a multivariate binary regression model was adjusted.Results: 883 patients were studied. The ischemic stroke was the most frecuent and within in the cerebral infarction of therotrombotic etiology prevailed (79.9%). With respect to the age variable, for each additional year the probability of death increases by 5%, OR 1.05 (IC 95%: 1.02-1.08, p< 0. 001). As for the Glasgow scale for each additional point, the probability of death decreases by 15%, OR 0.85 (IC 95%: 0.80- 0.90). On the other hand, patients with cerebral edema have 3.5 times higher risk of death OR 3.50 (IC 95%: 2.40- 5.10).Conclusions: the influence of clinical and demographic factors on ICTUS mortality provides tools to stratify the risk, contributing to optimize decisions in medical practice.