Prediction of in-hospital stroke mortality in critical care unit
Open Access
- 11 July 2016
- journal article
- research article
- Published by Springer Nature in SpringerPlus
- Vol. 5 (1) , 1-9
Abstract
Critical stroke causes high morbidity and mortality. We examined if variables in the early stage of critical stroke could predict in-hospital mortality. We recruited 611 ischemic and 805 hemorrhagic stroke patients who were admitted within 24 h after the symptom onset. Data were analyzed with independent t test and Chi square test, and then with multivariate logistic regression analysis. In ischemic stroke, National Institutes of Health Stroke Scale (NIHSS) score (OR 1.08; 95 % CI 1.06–1.11; P < 0.01), white blood cell count (OR 1.11; 95 % CI 1.05–1.18; P < 0.01), systolic blood pressure (BP) (OR 0.49; 95 % CI 0.26–0.90; P = 0.02) and age (OR 1.03; 95 % CI 1.00–1.05; P = 0.03) were associated with in-hospital mortality. In hemorrhagic stroke, NIHSS score (OR 1.12; 95 % CI 1.09–1.14; P < 0.01), systolic BP (OR 0.25; 95 % CI 0.15–0.41; P < 0.01), heart disease (OR 1.94; 95 % CI 1.11–3.39; P = 0.02) and creatinine (OR 1.16; 95 % CI 1.01–1.34; P = 0.04) were related to in-hospital mortality. Nomograms using these significant predictors were constructed for easy and quick evaluation of in-hospital mortality. Variables in acute stroke can predict in-hospital mortality and help decision-making in clinical practice using nomogram.Keywords
Funding Information
- Chang Gung Memorial Hospital, Linkou (CMRPG35072, 35073, 39082, 39083, CMRPG3B0611, CMPRG3A0352, CMRPG3B0111)
This publication has 37 references indexed in Scilit:
- Predicting Outcomes After Transient Ischemic Attack and StrokeContinuum, 2014
- A Risk Score for In‐Hospital Death in Patients Admitted With Ischemic or Hemorrhagic StrokeJournal of the American Heart Association, 2013
- Total and differential leucocyte counts in relation to incidence of stroke subtypes and mortality: a prospective cohort studyJournal of Internal Medicine, 2012
- Risk Score for In-Hospital Ischemic Stroke Mortality Derived and Validated Within the Get With The Guidelines–Stroke ProgramCirculation, 2010
- Predicting mortality using two renal function estimation methods in hospitalised stroke patientsInternational Journal of Cardiology, 2010
- Cardiovascular autonomic function in poststroke patientsNeurology, 2007
- Assessing Kidney Function — Measured and Estimated Glomerular Filtration RateNew England Journal of Medicine, 2006
- Heart Rate Variability and Outcome in Acute Severe Stroke: Role of Power Spectral AnalysisNeurocritical Care, 2004
- Blood Pressure and Clinical Outcomes in the International Stroke TrialStroke, 2002
- Limitations of Sensitivity, Specificity, Likelihood Ratio, and Bayesʼ Theorem in Assessing Diagnostic ProbabilitiesEpidemiology, 1997