Development and validation of a nomogram for early prediction of sepsis-induced coagulopathy: a multicenter study
We developed a nomogram model to predict the risk of SIC in patients with sepsis and validated its potential as a clinically reliable tool. The overall accuracy and clinical utility value of the model was high and the fit was good. The nomogram model can visualize the key variables associated with SIC in sepsis patients, supporting clinicians in individualized risk assessment and guiding timely interventions to improve patient outcomes.
Authors
- Yunxing Cao
- Ruimin Tan (ORCID: https://orcid.org/0009-0008-3705-9459)
- Jingmei Wang (ORCID: https://orcid.org/0000-0002-0640-372X)
- Shuwei Zhang (ORCID: https://orcid.org/0000-0001-8204-192X)
- Yi Zhou (ORCID: https://orcid.org/0000-0002-9860-5010)
- Quansheng Du (ORCID: https://orcid.org/0000-0001-5353-141X)
- Jin Yang
Institutions
- Handan College (CN)
- Chongqing University (CN)
- Hebei General Hospital (CN)
- Chongqing Emergency Medical Center (CN)
- First People's Hospital of Chongqing (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3389/fmed.2025.1653699
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Centre Scientifique et Technique du Bâtiment