Development of predictive nomogram for clinical use of special-grade antimicrobial agents in patients with diabetes foot infections
Our novel nomogram model showed that duration of hospitalization, Neutrophil, DBIL, ALB and Wagner grade were the independent risk factors of SGAs usage in patients with DFIs. This prediction model behaved a great accurate value and provide reference of SGAs usage in clinic. Further validations are still needed to evaluate and improve the performance of this model.
Authors
- Qiang Jiang (ORCID: https://orcid.org/0000-0002-1485-0909)
- Lubo Guo (ORCID: https://orcid.org/0000-0002-3708-3423)
- Qian Wang (ORCID: https://orcid.org/0000-0002-1505-1463)
- Hui Ma (ORCID: https://orcid.org/0000-0002-7146-8036)
Institutions
- Jinan Central Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3389/fendo.2025.1578767
- Citations
- 1
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Health Commission of Shandong Province