• Xia Wang, Hisatomi Arima, Rustam Al-Shahi Salman, Mark Woodward, Emma Heeley, Christian Stapf, Pablo M Lavados, Thompson Robinson, Yining Huang, Jiguang Wang, Candice Delcourt, Craig S Anderson, and INTERACT Investigators.
• From the The George Institute for Global Health, University of Sydney, Sydney, Australia (X.W., H.A., M.W., E.H., C.D., C.S.A.); Royal Prince Alfred Hospital, Sydney, Australia (X.W., H.A., M.W., E.H., C.D., C.S.A.); Division of Clinical Neurosciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK (R.A.-S.S.); Department of Neurology, APHP-HôpitalLariboisière and DHU NeuroVasc Paris-Sorbonne, Univ Paris Diderot-Sorbonne Paris Cité, Paris, France (C.S.); Servicio de Neurología, Departamento de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile (P.M.L.); Universidad de Chile, Santiago, Chile (P.M.L.); Department of Cardiovascular Sciences and NIHR Biomedical Research Unit in Cardiovascular Disease, University of Leicester, Leicester, UK (T.R.); Department of Neurology, Peking University First Hospital, Beijing, China (Y.H.); and The Shanghai Institute of Hypertension, Rui Jin Hospital, Shanghai Jiaotong University, Shanghai, China (J.W.).
• Stroke. 2015 Feb 1;46(2):376-81.

Background And PurposeWe developed and validated a simple algorithm to predict the risk of hematoma growth in acute spontaneous intracerebral hemorrhage (ICH) to better inform clinicians and researchers in their efforts to improve outcomes for patients.MethodsWe analyzed data from the computed tomography substudies of the pilot and main phases of the Intensive Blood Pressure Reduction in Acute Cerebral Hemorrhage Trials (INTERACT1 and 2, respectively). The study group was divided into a derivation cohort (INTERACT2, n=964) and a validation cohort (INTERACT1, n=346). Multivariable logistic regression was used to identify factors associated with clinically significant (≥6 mL) increase in hematoma volume at 24 hours after symptom onset. A parsimonious risk score was developed on the basis of regression coefficients derived from the logistic model.ResultsA 24-point BRAIN score was derived from INTERACT2 (C-statistic, 0.73) based on baseline ICH volume (mL per score, ≤10=0, 10-20=5, >20=7), recurrent ICH (yes=4), anticoagulation with warfarin at symptom onset (yes=6), intraventricular extension (yes=2), and number of hours to baseline computed tomography from symptom onset (≤1=5, 1-2=4, 2-3=3, 3-4=2, 4-5=1, >5=0) predicted the probability of ICH growth (ranging from 3.4% for 0 point to 85.8% for 24 points) with good discrimination (C-statistic, 0.73) and calibration (Hosmer-Lemeshow P=0.82) in INTERACT1.ConclusionsThe simple BRAIN score predicts the probability of hematoma growth in ICH. This could be used to improve risk stratification for research and clinical practice.Clinical Trial Registration Urlhttp://www.clinicaltrials.gov. Unique identifier: NCT00226096 and NCT00716079.© 2014 American Heart Association, Inc.

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