Prognostic tools for early mortality in hemorrhagic stroke: Systematic review and meta-analysis

Mattishent, Katharina, Kwok, Chun Shing, Ashkir, Liban, Pelpola, Kelum, Myint, Phyo Kyaw and Loke, Yoon Kong (2015) Prognostic tools for early mortality in hemorrhagic stroke: Systematic review and meta-analysis. Journal of Clinical Neurology, 11 (4). pp. 339-348. ISSN 1738-6586

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Abstract

Background and Purpose: Several risk scores have been developed to predict mortality in intracerebral hemorrhage (ICH). We aimed to systematically determine the performance of published prognostic tools. Methods: We searched MEDLINE and EMBASE for prognostic models (published between 2004 and April 2014) used in predicting early mortality (<6 months) after ICH. We evaluated the discrimination performance of the tools through a random-effects meta-analysis of the area under the receiver operating characteristic curve (AUC) or c-statistic. We evaluated the following components of the study validity: study design, collection of prognostic variables, treatment pathways, and missing data. Results: We identified 11 articles (involving 41,555 patients) reporting on the accuracy of 12 different tools for predicting mortality in ICH. Most studies were either retrospective or post-hoc analyses of prospectively collected data; all but one produced validation data. The Hemphill-ICH score had the largest number of validation cohorts (9 studies involving 3,819 patients) within our systematic review and showed good performance in 4 countries, with a pooled AUC of 0.80 [95% confidence interval (CI)=0.77-0.85]. We identified several modified versions of the Hemphill-ICH score, with the ICH-Grading Scale (GS) score appearing to be the most promising variant, with a pooled AUC across four studies of 0.87 (95% CI=0.84-0.90). Subgroup testing found statistically significant differences between the AUCs obtained in studies involving Hemphill-ICH and ICH-GS scores (p=0.01). Conclusions: Our meta-analysis evaluated the performance of 12 ICH prognostic tools and found greater supporting evidence for 2 models (Hemphill-ICH and ICH-GS), with generally good performance overall.

Item Type:	Article
Uncontrolled Keywords:	stroke,prognostic scores,risk prediction model,mortality
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Health Promotion Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Population Health
Depositing User:	Pure Connector
Date Deposited:	15 Mar 2016 10:11
Last Modified:	28 Oct 2023 00:47
URI:	https://ueaeprints.uea.ac.uk/id/eprint/57464
DOI:	10.3988/jcn.2015.11.4.339

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