Predicting Infection Risk in Acute Compartment Syndrome: A Nomogram Model Based on Admission Blood Indicators
We found that the levels of NEU, WBC, CRP and time from injury to surgery were predictors for infection in ACS patients. Our nomogram prediction model can efficiently predict infection in ACS patients.
Authors
- Jin Woo Song (ORCID: https://orcid.org/0000-0001-5121-3522)
- Yan Li (ORCID: https://orcid.org/0000-0002-5846-7813)
- Yang Meng (ORCID: https://orcid.org/0000-0002-8843-2240)
- Yangfan Hu (ORCID: https://orcid.org/0000-0002-2192-8700)
- Yuejun Liu
Institutions
- Hebei University of Engineering (CN)
- Cixian People's Hospital (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/ijgm.s520844
- Primary Topic
- Muscle and Compartmental Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00