Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology.
- Author:
James E SIEGLER
1
;
Alyana SAMAI
;
Eleanor SEMMES
;
Sheryl MARTIN-SCHILD
Author Information
- Publication Type:Original Article
- Keywords: Diffusion-weighted imaging; Etiology; Ischemic stroke; Early neurologic deterioration; Outcomes research; Risk factors
- MeSH: Adult; Carotid Artery, Internal; Cohort Studies; Female; Hospitalization; Humans; Infarction; Magnetic Resonance Imaging; National Institutes of Health (U.S.); Outcome Assessment (Health Care); Prospective Studies; Risk Factors; Stroke*; Vulnerable Populations
- From:Journal of Stroke 2016;18(2):203-210
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND AND PURPOSE: Early neurologic deterioration (END) occurs in up to one-third of patients with ischemic stroke and is associated with poor outcomes. The purpose of the present study was to determine which stroke etiologies and vascular distributions pose a greater threat of END in stroke patients. METHODS: Using a single-center registry of prospectively maintained clinical data, adult ischemic stroke patients admitted (July 2008 to June 2014) within 48 hours of symptom onset were evaluated according to stroke etiology and vascular distribution using diffusion-weighted MRI. Major stroke etiologies were divided into cardioembolic, large vessel, small vessel, other, unknown source, and multiple possible etiologies. END was defined as a worsening of 2 or more points on the National Institutes of Health Stroke Scale during a 24-hour period of hospitalization. Crude and backward stepwise regression models were generated to associate stroke etiology and vascular distribution with END. RESULTS: Of the included 961 patients (median age 65 years, 47% female, 72% non-White), 323 (34%) experienced END. Strokes involving the internal carotid artery (ICA) were associated with a threefold higher odds of END in stepwise regression models (OR 3.0, 95% CI 1.4-6.6, P=0.006). Among stroke etiologies, those with unclear mechanisms had the lowest odds of END in the fully adjusted model (OR 0.6, 95% CI 0.4-1.0, P=0.029). CONCLUSIONS: In our single-center cohort of patients, ICA infarctions were independently associated with END whereas strokes of unknown etiology were least often associated with END. Larger cohorts are necessary to determine which steps, if any, can be taken to prevent END in these vulnerable populations.
