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ABSTRACT: Introduction
Stroke patients undergoing intravenous thrombolysis (IVT) are at increased risk for critical care interventions and mortality. Cardiac troponin elevation is common in stroke patients; however, its prognostic significance is unclear. The present study evaluates troponin elevation as a predictor of critical care needs and mortality in post-IVT patients and describes racial differences in its predictive accuracy.Methods
Logistic regression and receiver operating characteristics (ROC) analysis were used to determine racial differences in the predictive accuracy of troponin elevation for critical care needs and mortality in post-IVT patients.Results
Troponin elevation predicted critical care needs in white (odds ratio [OR] 29.40, 95% confidence interval [CI] 4.86-177.81) but not black patients (OR 0.50, 95% CI 0.14-1.78; P value for interaction < .001). Adding troponin elevation to a prediction model for critical care needs in whites improved the area under the curve from 0.670 to 0.844 (P = .006); however, addition of troponin elevation did not improve the model in blacks (area under the curve 0.843 vs 0.851, P = .54). Troponin elevation was associated with in-hospital mortality in whites (OR 21.94, 95% CI 3.51-137.11) but not blacks (OR 1.10, 95% CI 0.19-6.32, P value for interaction .022).Conclusion
Troponin is a useful predictor of poor outcome in white but not black post-IVT stroke patients.
SUBMITTER: Faigle R
PROVIDER: S-EPMC4769902 | biostudies-literature | 2016 Apr
REPOSITORIES: biostudies-literature
Faigle Roland R Marsh Elisabeth B EB Llinas Rafael H RH Urrutia Victor C VC Gottesman Rebecca F RF
Journal of critical care 20151202
<h4>Introduction</h4>Stroke patients undergoing intravenous thrombolysis (IVT) are at increased risk for critical care interventions and mortality. Cardiac troponin elevation is common in stroke patients; however, its prognostic significance is unclear. The present study evaluates troponin elevation as a predictor of critical care needs and mortality in post-IVT patients and describes racial differences in its predictive accuracy.<h4>Methods</h4>Logistic regression and receiver operating charact ...[more]