Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.
Abstract
Background The prognostic value of shock index ( SI ), heart rate divided by systolic
blood pressure, in stroke for clinical outcomes other than mortality is not well understood.
Methods and Results We examined the Get With The Guidelines-Stroke ( GWTG -Stroke)
data to explore the usefulness of SI in predicting in-hospital outcomes in 425 808
acute stroke cases (mean age: 71.0±14.5 years; 48.8% male; 89.7% ischemic stroke and
10.3% intracerebral hemorrhage) admitted between October 2012 and March 2015. Compared
with patients with SI of 0.5 to 0.7, patients with SI >0.7 (13.6% of the sample) had
worse outcomes, with adjusted odds ratios of 2.00 (95% confidence interval [ CI ],
1.92-2.08) for in-hospital mortality, 1.46 (95% CI , 1.43-1.49) for longer length
of hospital stay >4 days, 1.50 (95% CI , 1.47-1.54) for discharge destination other
than home, 1.41 (95% CI , 1.38-1.45) for inability to ambulate independently at discharge,
and 1.52 (95% CI , 1.47-1.57) for modified Rankin Scale score of 3 to 6 at discharge.
Results were similar when analyses were confined to those with available National
Institutes of Health Stroke Scale (NIHSS) or within individual stroke subtypes or
when SI was additionally included in the models with or without blood pressure components.
Every 0.1 increase in SI >0.5 was associated with significantly worse outcomes in
linear spline models. The addition of SI to existing GWTG -Stroke mortality prediction
models without NIHSS demonstrated modest improvement, but little to no improvement
was noted in models with NIHSS . Conclusions SI calculated at the point of care may
be a useful prognostic indicator to identify those with high risk of poor outcomes
in acute stroke, especially in hospitals with limited experience with NIHSS assessment.
Type
Journal articleSubject
HumansAcute Disease
Shock
Prognosis
Severity of Illness Index
Incidence
Hospital Mortality
Survival Rate
Retrospective Studies
Follow-Up Studies
Blood Pressure
Aged
United States
Female
Male
Stroke
Global Health
Permalink
https://hdl.handle.net/10161/21637Published Version (Please cite this version)
10.1161/jaha.117.007581Publication Info
Myint, Phyo Kyaw; Sheng, Shubin; Xian, Ying; Matsouaka, Roland A; Reeves, Mathew J;
Saver, Jeffrey L; ... Smith, Eric E (2018). Shock Index Predicts Patient-Related Clinical Outcomes in Stroke. Journal of the American Heart Association, 7(18). pp. e007581. 10.1161/jaha.117.007581. Retrieved from https://hdl.handle.net/10161/21637.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
Collections
More Info
Show full item recordScholars@Duke
Roland Albert Matsouaka
Associate Professor of Biostatistics & Bioinformatics
Ying Xian
Adjunct Associate Professor in the Department of Neurology
Alphabetical list of authors with Scholars@Duke profiles.

Articles written by Duke faculty are made available through the campus open access policy. For more information see: Duke Open Access Policy
Rights for Collection: Scholarly Articles
Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info