title: Prediction of in-hospital stroke mortality in critical care unit.
abstract: BACKGROUND
  Critical stroke causes high morbidity and mortality. We examined if variables in the early stage of critical stroke could predict in-hospital mortality.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Variables in acute stroke can predict in-hospital mortality and help decision-making in clinical practice using nomogram.
authors.affiliation: Dementia Center and Department of Neurology, Linkou Medical Center, Chang Gung Memorial Hospital, No.5, Fuxing St., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Wei-Min
authors.initials: WM
authors.lastname: Ho
authors.affiliation: Clinical Informatics and Medical Statistics Research Center, Chang Gung University, No.261, Wenhua 1st Rd., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Jr-Rung
authors.initials: JR
authors.lastname: Lin
authors.affiliation: Department of Healthcare Management, College of Management, Chang Gung University, No.261, Wenhua 1st Rd., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Hui-Hsuan
authors.initials: HH
authors.lastname: Wang
authors.affiliation: Stroke Center and Department of Neurology, Kaohsiung Medical Center, Chang Gung Memorial Hospital, No.123, Dapi Rd., Niaosong Dist., Kaohsiung City, 833 Taiwan, ROC.
authors.forename: Chia-Wei
authors.initials: CW
authors.lastname: Liou
authors.affiliation: Stroke Center and Department of Neurology, Kaohsiung Medical Center, Chang Gung Memorial Hospital, No.123, Dapi Rd., Niaosong Dist., Kaohsiung City, 833 Taiwan, ROC.
authors.forename: Ku-Chou
authors.initials: KC
authors.lastname: Chang
authors.affiliation: Stroke Center and Department of Neurology, Chiayi Medical Center, Chang Gung Memorial Hospital, No.6, Sec. W., Jiapu Rd., Puzi City, 613 Chiayi County Taiwan, ROC.
authors.forename: Jiann-Der
authors.initials: JD
authors.lastname: Lee
authors.affiliation: Department of Neurology, Chang Gung Memorial Hospital, No.222, Maijin Rd., Anle Dist., Keelung City, 204 Taiwan, ROC.
authors.forename: Tsung-Yi
authors.initials: TY
authors.lastname: Peng
authors.affiliation: Department of Neurosurgery, Chiayi Medical Center, Chang Gung Memorial Hospital, No.6, Sec. W., Jiapu Rd., Puzi City, 613 Chiayi County Taiwan, ROC.
authors.forename: Jen-Tsung
authors.initials: JT
authors.lastname: Yang
authors.affiliation: Stroke Center and Department of Neurology, Linkou Medical Center, Chang Gung Memorial Hospital, No.5, Fuxing St., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Yeu-Jhy
authors.initials: YJ
authors.lastname: Chang
authors.affiliation: Stroke Center and Department of Neurology, Linkou Medical Center, Chang Gung Memorial Hospital, No.5, Fuxing St., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Chien-Hung
authors.initials: CH
authors.lastname: Chang
authors.affiliation: Stroke Center and Department of Neurology, Linkou Medical Center, Chang Gung Memorial Hospital, No.5, Fuxing St., Guishan Dist., Taoyuan City, 333 Taiwan, ROC.
authors.forename: Tsong-Hai
authors.initials: TH
authors.lastname: Lee
keywords: Cerebrovascular disease; Intensive care unit; Mortality; Outcome; Risk prediction