Predictors of morbidity and mortality during hospitalization following stroke.

Abstract

Objective: The purpose behind this study was to determine the predictors of morbidity and mortality during hospitalization caused by cerebrovascular accident. Study Design: Cross Sectional study. Setting: Emergency Department of Medicine, Isra University Hospital, Hyderabad. Period: October 2017 to May 2018. Material & Methods: We have evaluated a total of 124 patients who presented and were admitted with signs and symptoms of stroke and confirmatory diagnosis was made based on CT scan. All baseline and clinical variables recorded in a structured questionnaire and the data were evaluated in Statistical Package for the Social Sciences (SPSS) version 21.0. Outcome of these patients were observed based on the number of patients died during hospitalization and poor outcome associated predictors. Results: A total of 124 patients were selected for this study. The mean age of patients was 58.52 years (13.44 ± SD). In this observational study we have observed hypertension (N = 106, 85.5%) was the most common predictor of hospitalization among patients with stroke. The overall mortality associated with stroke was 16.13% (20 cases out of total 124). Infection of urinary tract during hospitalization, patients presented with unconsciousness, area of thalamic infarction, involvement of middle cerebral artery, and posterior cerebral artery infarction were the most common predictors of stroke related in-hospital mortality. Conclusion: Overall, corrected stroke related in-hospital mortality rate was 16.13% and patients who presented with loss of consciousness, infection of urinary tract, thalamic infarction, and area involving the middle cerebral artery were associated with higher in-hospital stroke related mortality.