Development and Validation of a 28-Day Mortality Prediction Model for Patients with Sepsis Complicated by Autoimmune Diseases Using Two Machine Learning Methods
A prognostic model for predicting 28-day mortality in sepsis patients with autoimmune diseases demonstrated robust predictive performance and clinical applicability upon internal and external validation.
Authors
- Jun He (ORCID: https://orcid.org/0000-0002-1479-285X)
- Feng Huang (ORCID: https://orcid.org/0000-0002-0740-9373)
- Xin Xiao (ORCID: https://orcid.org/0000-0001-5990-0984)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-5246-5497)
- Shifeng Li
- Zhiyang Wang
- Yanou Li
Institutions
- Soochow University (CN)
- Second Affiliated Hospital of Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/jir.s555953
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jiangsu Commission of Health
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province