4.7 Article

The max-intracerebral hemorrhage score predicts long-term outcome of intracerebral hemorrhage

Journal

CNS NEUROSCIENCE & THERAPEUTICS
Volume 24, Issue 12, Pages 1149-1155

Publisher

WILEY
DOI: 10.1111/cns.12846

Keywords

external validation; intracerebral hemorrhage; max-intracerebral hemorrhage score; prognosis

Funding

  1. National Key Technology Research and Development Program of the Ministry of Science and Technology of The People's Republic of China [2015BAI12B02]
  2. Beijing Municipal Science & Technology Commission [D151100002015003]
  3. Beijing Municipal Administration of Hospitals' Mission Plan [SML20150502]

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Aims Little is known about the performance of the maximally treated intracerebral hemorrhage (max-ICH) score in predicting unfavorable long-term functional outcome and death in patients with intracerebral hemorrhage (ICH) in China. We aimed to validate the performance of the max-ICH score and compared it with other recognized scores. Methods Results We derived data from the China National Stroke Registry (CNSR). Receiver-operating characteristic (ROC) analysis and Hosmer-Lemeshow test were used to measure the score performance. We compared the performance of max-ICH score with six recognized models, including the ICH score, ICH functional outcome score (ICH-FOS), Essen-ICH score, modified intracerebral hemorrhage (MICH) score, intracerebral hemorrhage grading scale (ICH-GS), and functional outcome (FUNC) score. A total of 2581 patients with spontaneous ICH were enrolled in the study. The max-ICH score was similar or superior to the six existing scores in predicting long-term unfavorable functional outcome after ICH with good discrimination (AUC 0.83, 95% confidence interval [CI] 0.81-0.84) and calibration (Hosmer-Lemeshow P = 0.19). For predicting death, the AUC of max-ICH was 0.81 (95% CI 0.79-0.83). Conclusions The easy-to-use max-ICH score is a reliable tool to predict unfavorable long-term (12-month) functional outcome and death after intracerebral hemorrhage in the Chinese population.

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