Predicting recovery after intracerebral hemorrhage - An external validation in patients from controlled clinical trials

C. Weimar, A. Ziegler, R. L. Sacco, H. C. Diener, I. R. König

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Background : An early and reliable prognostic indication in stroke patients is potentially useful for initiation of individual treatment and for informing patients and relatives. We recently developed a regression model as well as a simple 11-point predictive score (Essen ICH score) for functional recovery within three months after acute intracerebral hemorrhage (ICH) based on age and the National Institutes of Health Stroke Scale (NIH-SS). Here, we demonstrate the applicability of our models in an independent sample of ICH patients from controlled clinical trials. Methods : The prognostic models were used to predict functional recovery in 564 patients from the Virtual International Stroke Trials Archive (VISTA). Furthermore, we tried to improve the accuracy by re-calibration and estimating new model parameters. Findings : The logistic regression model and the Essen ICH score were able to correctly classify 77.5 % and 76.4 % of patients, respectively. Re-calibration and novel estimation of parameters yielded only a slight improvement of overall predictive accuracy. Interpretation : For acute ICH patients included in controlled trials, our predictive models based on age and the NIH-SS correctly predict functional recovery after three months and could be useful for future trial design.

Original languageEnglish (US)
Pages (from-to)464-469
Number of pages6
JournalJournal of Neurology
Volume256
Issue number3
DOIs
StatePublished - Mar 1 2009

Keywords

  • Clinical trials
  • ICH
  • NIHSS
  • Outcome
  • Prediction

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

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