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Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.

Publication ,  Journal Article
Myint, PK; Sheng, S; Xian, Y; Matsouaka, RA; Reeves, MJ; Saver, JL; Bhatt, DL; Fonarow, GC; Schwamm, LH; Smith, EE
Published in: J Am Heart Assoc
September 18, 2018

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.

Duke Scholars

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Published In

J Am Heart Assoc

DOI

EISSN

2047-9980

Publication Date

September 18, 2018

Volume

7

Issue

18

Start / End Page

e007581

Location

England

Related Subject Headings

  • United States
  • Survival Rate
  • Stroke
  • Shock
  • Severity of Illness Index
  • Retrospective Studies
  • Prognosis
  • Male
  • Incidence
  • Humans
 

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Myint, P. K., Sheng, S., Xian, Y., Matsouaka, R. A., Reeves, M. J., Saver, J. L., … Smith, E. E. (2018). Shock Index Predicts Patient-Related Clinical Outcomes in Stroke. J Am Heart Assoc, 7(18), e007581. https://doi.org/10.1161/JAHA.117.007581
Myint, Phyo Kyaw, Shubin Sheng, Ying Xian, Roland A. Matsouaka, Mathew J. Reeves, Jeffrey L. Saver, Deepak L. Bhatt, Gregg C. Fonarow, Lee H. Schwamm, and Eric E. Smith. “Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.J Am Heart Assoc 7, no. 18 (September 18, 2018): e007581. https://doi.org/10.1161/JAHA.117.007581.
Myint PK, Sheng S, Xian Y, Matsouaka RA, Reeves MJ, Saver JL, et al. Shock Index Predicts Patient-Related Clinical Outcomes in Stroke. J Am Heart Assoc. 2018 Sep 18;7(18):e007581.
Myint, Phyo Kyaw, et al. “Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.J Am Heart Assoc, vol. 7, no. 18, Sept. 2018, p. e007581. Pubmed, doi:10.1161/JAHA.117.007581.
Myint PK, Sheng S, Xian Y, Matsouaka RA, Reeves MJ, Saver JL, Bhatt DL, Fonarow GC, Schwamm LH, Smith EE. Shock Index Predicts Patient-Related Clinical Outcomes in Stroke. J Am Heart Assoc. 2018 Sep 18;7(18):e007581.
Journal cover image

Published In

J Am Heart Assoc

DOI

EISSN

2047-9980

Publication Date

September 18, 2018

Volume

7

Issue

18

Start / End Page

e007581

Location

England

Related Subject Headings

  • United States
  • Survival Rate
  • Stroke
  • Shock
  • Severity of Illness Index
  • Retrospective Studies
  • Prognosis
  • Male
  • Incidence
  • Humans