Prognostic value of the Charlson Comorbidity Index for mortality and machine learning–based prediction in critically ill patients with paralytic ileus (Preprint)
The CCI is an important predictor of hospital, 28-day, and 90-day all-cause mortality in critically ill patients with PI, and the optimal threshold is 4.5. ML models, including the CCI, show high accuracy in predicting hospital mortality, and the CCI occupies an important position in the model. This suggests that the CCI helps to identify high-risk patients, supports clinical decision-making, and improves prognosis.
Authors
- Zhen Wang (ORCID: https://orcid.org/0000-0002-5174-3184)
- Fuhai Zhou (ORCID: https://orcid.org/0000-0002-3764-3937)
- Wenshan Jing
- Yi Shen (ORCID: https://orcid.org/0000-0002-4447-1053)
- Qingsheng Yu (ORCID: https://orcid.org/0000-0001-8924-8050)
- Yiyang Yuan
- Zheng Zhou (ORCID: https://orcid.org/0000-0002-8365-2084)
- Hui Peng (ORCID: https://orcid.org/0009-0006-9524-7699)
- Hui Feng (ORCID: https://orcid.org/0000-0003-4353-7417)
Institutions
- Anhui University of Traditional Chinese Medicine (CN)
- Hefei Institutes of Physical Science (CN)
- Institute of Plasma Physics (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-04-15
- DOI
- https://doi.org/10.2196/76003
- Primary Topic
- Enhanced Recovery After Surgery
- Type
- article
- Field-Weighted Citation Impact
- 0.00