Inquiry. 2025 Jan-Dec;62:469580251385397. doi: 10.1177/00469580251385397. Epub 2025 Nov 1.
ABSTRACT
Stroke is a leading cause of morbidity and disability, with limited data on in-hospital mortality from low-resource settings. This study aimed to identify predictors of in-hospital mortality among stroke patients at a tertiary care hospital in Nepal. A prospective cohort study was conducted among 120 stroke patients aged ≥ 18 years, enrolled between November 2023 and April 2024. The primary outcome was in-hospital mortality following admission. Data was analysed using SAS version 9.4. Kaplan-Meier survival analysis and Cox proportional hazards regression were employed to identify predictors of in-hospital mortality. A p-value < .05 was considered statistically significant. The cohort comprised 68.3% ischemic and 31.7% haemorrhagic strokes, with an overall in-hospital mortality rate of 9.0%. Multivariate analysis revealed that a Glasgow Coma (GCS) score < 8 (AHR: 12.36; 95% CI: 2.73-56.00), National Institutes of Health Stroke Scale (NIHSS) ≥12 (AHR: 14.75; 95% CI: 3.01-72.28), moderate to severe disability (mRS ≥ 3; AHR: 9.92; 95% CI: 1.10-89.24), hemiplegia (AHR: 6.70; 95% CI: 1.835-53.748), territorial infarcts (AHR: 26.33; 95% CI: 2.093-331.203), capsuloganglionic infarcts (AHR: 14.6; 95% CI: 1.819-160.877), presence of chronic obstructive pulmonary disease (COPD) (AHR: 2.48; 95% CI: 1.317-45.091), and alcohol use (AHR: 3.87; 95% CI: 1.014-18.478) were significant predictors of in-hospital mortality. Neurological impairment at admission, specific infarct locations, hemiplegia, COPD, and alcohol use are significant predictors of in-hospital mortality among stroke patients. These findings underscore the importance of early neurological assessment, systematic risk stratification, and targeted interventions to improve stroke outcomes in resource-constrained settings.
PMID:41174984 | DOI:10.1177/00469580251385397
