Head-to-head comparison of prognostic models of spontaneous intracerebral hemorrhage: tools for personalized care and clinical trial in ICH
First author:Ruijun Ji
Corresponding author:Xingquan Zhao
2021-08-25
Journal:Neurological Research
Publication type: Original Contributions
IF(IF): 2.381
PMID: 34431446 Link To Pubmed Full text Download
To systematically compare 27 ICH models with regard to mortality and functional outcome at 1-month, 3-month and 1-year after ICH.
The validation cohort was derived from the Beijing Registration of Intracerebral Hemorrhage. Poor functional outcome was defined as modified Rankin Scale score (mRS) ≥3 at 1-month, 3-month and 1-year after ICH, respectively. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodnessof-fit test were used to assess model discrimination and calibration.
The ICH-FOS showed the largest Cox and Snell R-square. Similar results were verified for mortality and poor functional outcome at 1-month and 1-year after ICH. Several risk models are externally validated to be effective for risk stratification and outcome prediction after ICH, especially the ICH-FOS, which would be useful tools for personalized care and clinical trial in ICH.
A total number of 1575 patients were included. The mean age was 57.2 ± 14.3 and 67.2% were male. The median NIHSS score on admission was 11 (IQR: 3–21). For predicting mortality at 3-month after ICH, AUROC of 27 ICH models ranged from 0.604 to 0.856. In pairwise comparison, the ICH-FOS (0.856, 95% CI = 0.835–0.878, P < 0.001) showed statistically better discrimination than other models for mortality at 3-month after ICH (all P < 0.05). For predicting poor functional outcome (mRS≥3) at 3-month after ICH, AUROC of 27 ICH models ranged from 0.602 to 0.880. In pairwise comparison with other prediction models, the ICH-FOS was superior in predicting poor functional outcome at 3-month after ICH (all P < 0.001).