Shock Index Predicts Patient‐Related Clinical Outcomes in Stroke

Author:

Myint Phyo Kyaw1,Sheng Shubin2,Xian Ying23,Matsouaka Roland A.24,Reeves Mathew J.5,Saver Jeffrey L.6,Bhatt Deepak L.7,Fonarow Gregg C.8,Schwamm Lee H.9,Smith Eric E.10

Affiliation:

1. Institute of Applied Health Sciences School of Medicine, Medical Sciences & Nutrition University of Aberdeen United Kingdom

2. Duke Clinical Research Institute Duke University School of Medicine Durham NC

3. Department of Neurology Duke University Medical Center Durham NC

4. Department of Biostatistics and Bioinformatics Duke University Durham NC

5. Department of Epidemiology and Biostatistics Michigan State University Michigan MI

6. Stroke Program Department of Neurology David Geffen School of Medicine at UCLA Los Angeles CA

7. Brigham and Women's Hospital Heart & Vascular Center Harvard Medical School Harvard University Boston MA

8. Division of Cardiology David Geffen School of Medicine at UCLA Los Angeles CA

9. Department of Neurology, Stroke Service Massachusetts General Hospital Boston MA

10. Calgary Stroke Programme & Department of Clinical Neurosciences University of Calgary Calgary Canada

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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