Dynamic C-reactive protein trajectories predict prolonged healing time in diabetic wounds: a machine learning model based on a single-center cohort with standardized wound size
Dynamic CRP trajectories, particularly CRP_2nd, are critical for predicting prolonged diabetic wound healing. The GradientBoosting model provides a clinically actionable tool for risk stratification.
Authors
- Junhuan Zhang Wentao Wang
- Sichao Jiang
- Junwei Zong
- Qixuan Song
- Zhen Zhang
- Xiaohong Sun
- Shouyu Wang
Institutions
- Qingdao University (CN)
- Dalian Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3389/fmed.2026.1778003
- Primary Topic
- Wound Healing and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Dalian Medical University