Demographic and institutional predictors of stroke hospitalization mortality among adults in the United States

Gabriel Neves; Travis Cole; Jeannie Lee; Tulio Bueso; Chip Shaw; Victor Montalvan

doi:10.1016/j.ensci.2022.100392

Demographic and institutional predictors of stroke hospitalization mortality among adults in the United States

eNeurologicalSci. 2022 Jan 22:26:100392. doi: 10.1016/j.ensci.2022.100392. eCollection 2022 Mar.

Authors

Gabriel Neves¹, Travis Cole², Jeannie Lee¹, Tulio Bueso¹, Chip Shaw², Victor Montalvan¹

Affiliations

¹ Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, TX, USA.
² Graduate School of Biomedical Sciences, Texas Tech University Medical Sciences Center, Lubbock, TX, USA.

Abstract

Introduction: Stroke remains a primary source of functional disability and inpatient mortality in the United States (US). Recent evidence reveals declining mortality associated with stroke hospitalizations in the US. However, data updating trends in inpatient mortality is lacking. This study aims to provide a renewed inpatient stroke mortality rate in a national sample and identify common predictors of inpatient stroke mortality.

Methods: In this cross-sectional study, we analyzed data from a nationwide database between 2010 and 2017. We included patient encounters for both ischemic (ICD9 433-434, ICD10 I630-I639) and hemorrhagic stroke (ICD9 430-432, ICD10 I600-I629). We performed an annual comparison of in-hospital stroke mortality rates, and a cross-sectional analytic approach of multiple variables identified common predictors of inpatient stroke mortality.

Results: Between 2010 and 2017, we identified 518,185 total stroke admissions (86.6% ischemic stroke and 13.4% hemorrhagic strokes). Stroke admissions steadily increased during the studied period, whereas we observed a steady decline in in-hospital mortality during the same time. The inpatient stroke mortality rate gradually declined from 4.8% in 2010 (95% CI 4.6-5.1) to 2.1% in 2017 (95% CI 2.0-2.1). Predictors of higher odds of dying from ischemic stroke were female (OR 1.059, 95% CI 1.015-1.105, p = 0.008), older age (OR 1.028, 95% CI 1.026-1.029, p < 0.001), and sicker patients (OR 1.091, 95% CI 1.089-1.093, p < 0.001). Predictors of higher odds of dying from hemorrhagic stroke were Hispanic ethnicity (OR 1.459, 95% CI 1.084-1.926, p < 0.001), older age (OR 1.021, 95% CI 1.019-1.023, p < 0.001), and sicker patients (OR 1.042, 95% CI 1.039-1.045, p < 0.001). All census regions and hospital types demonstrated improvements in in-hospital mortality.

Conclusion: This study identified a continuous declining rate in in-hospital mortality due to stroke in the United States, and it also identified demographic and hospital predictors of inpatient stroke mortality.

Keywords: Hemorrhagic stroke; Inpatient mortality; Ischemic stroke; Mortality; Stroke.