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

[img]
Preview
PDF (jcn-11-339) - Published Version
Download (542kB) | Preview

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
Depositing User: Pure Connector
Date Deposited: 15 Mar 2016 10:11
Last Modified: 31 Oct 2019 14:49
URI: https://ueaeprints.uea.ac.uk/id/eprint/57464
DOI: 10.3988/jcn.2015.11.4.339

Actions (login required)

View Item View Item