Clinical, sociodemographic profile and predictors of death in intensive care unit

Objective: to identify the sociodemographic and clinical profile of patients in an intensive care unit in the interior of Brazil and to characterize the deaths and their predictors. Method: cross-sectional study conducted from documentary analysis of medical records of a random sample of patients in intensive care. Data were collected between 2016 and 2018 using standardized instrument. Descriptive analysis performed comparing deaths and survivors. Multivariable regression was used to identify predictors of death. Results: considering the 259 patients analyzed, there were 231 deaths (89.2%). Among the deaths, female gender (55.4%), white race (75.3%) and low education (66.7%) predominated. The variables advanced age, heart failure, and human immunodeficiency virus infection were considered predictors of death. Conclusion: the characterization of patients seen in intensive care was evidenced, as well as the identification of subjects at higher risk of death, providing subsidies for the development of effective strategies to prevent death.