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• W2468161702 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." @default.
• W2468161702 created "2016-07-22" @default.
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• W2468161702 date "2016-07-11" @default.
• W2468161702 modified "2023-10-15" @default.
• W2468161702 title "Prediction of in-hospital stroke mortality in critical care unit" @default.
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• W2468161702 doi "https://doi.org/10.1186/s40064-016-2687-2" @default.
• W2468161702 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4940351" @default.
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