• Ya-Ching Chuang, Yung-Ming Chen, Shih-Kuei Peng, and Shih-Yen Peng.
• Department of Anesthesiology, Taichung Veterans General Hospital, Taichung, Taiwan.
• Int J Qual Health Care. 2009 Dec 1; 21 (6): 441-7.

ObjectiveThe aim of this study was to develop a grading scale for predicting the 30-day mortality of spontaneous intracerebral hemorrhage (ICH) using initial evaluation data.DesignUnivariate and multivariate logistic regression models were used to identify independent risk factors and to construct a grading scale for predicting the outcome of ICH.SettingThe Taichung Veterans General Hospital in Taichung, Taiwan.ParticipantsTwo hundred and ninety-three patients were diagnosed with spontaneous ICH between 1 January 2006 and 31 December 2007.InterventionDevelopment of the simplified ICH score (sICH score) for predicting the 30-day mortality of ICH.Main Outcome MeasuresThe discrimination of the prediction model was determined by measuring the accuracy, sensitivity, specificity and the area under the receiver operating characteristic curves (AUC).ResultsThe accuracy of the sICH score was 80.5%, the sensitivity was 82.5% and the specificity was 80.2%. The AUCs are as follows: sICH score, 0.89 (0.84-0.94); ICH score, 0.74 (0.65-0.83) and ICH-GS, 0.74 (0.65-0.83).ConclusionsThe sICH score showed best discrimination among tested models. Also, it was easier for physicians without special training in neurology or radiology to use this scale. With statistical power and ease of use, the sICH score is a very suitable model for risk stratification of spontaneous ICH.

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