Staged management of infected diabetic foot ulcers: a 300-patient cohort study on prognostic grading, pathogen dynamics, and individualized risk prediction

Objective This study aimed to evaluate the IWGDF/IDSA classification for prognostic stratification in diabetic foot infections (DFIs) and to develop and validate a clinical prediction model for individualized risk assessment. Methods In this retrospective study of 300 patients with DFIs (2020–2024), infection severity was graded as Grade 2 (mild), 3 (moderate), 3(O) (moderate with osteomyelitis), or 4 (severe). We analyzed baseline characteristics, microbiological profiles, treatment responses, and performed time-to-event analyses for ulcer healing and limb salvage. A nomogram predicting 6-month non-healing risk was developed using Cox regression, with performance assessed by C-index and calibration. Subgroup and sensitivity analyses (including competing-risk models) were conducted to test robustness. Results Higher infection grades correlated with worse glycemic control (HbA1c: 9.8% in Grade 4 vs. 8.1% in Grade 2), higher peripheral arterial disease (PAD) prevalence (64.3% vs. 22.4%), and a pathogen shift from Gram-positive cocci (87.2% in Grade 2) to Gram-negative bacilli ( Pseudomonas aeruginosa 52.2%) and polymicrobial infections (60.9%) in Grade 4 (all p < 0.001). Kaplan–Meier analysis revealed a severity-dependent gradient in outcomes: median healing time prolonged from 6.0 weeks (Grade 2) to 18.0 weeks (Grade 4), while the 24-week cumulative amputation rate escalated to 66.7% in Grade 4. Osteomyelitis (Grade 3(O)) constituted a distinct high-risk subgroup, with outcomes approximating Grade 4. A nomogram incorporating infection grade, PAD, HbA1c ≥ 9%, and revascularization status demonstrated good discrimination (C-index 0.82, bootstrap-corrected 0.80) and calibration (Hosmer–Lemeshow p = 0.342), maintained in temporal validation (C-index 0.79). Subgroup analysis confirmed a significant interaction between infection grade and revascularization, with the greatest benefit in severe PAD patients (interaction p = 0.03). Sensitivity analyses, including competing-risk models, affirmed the robustness of the severity–outcome association. Conclusion The IWGDF/IDSA classification effectively stratifies DFI patients by integrated metabolic, vascular, microbiological, and prognostic risk. Osteomyelitis warrants distinct management. The developed nomogram provides a validated tool for individualized risk prediction, facilitating early targeted intervention. These findings advocate for a severity-guided, multidisciplinary treatment paradigm to improve outcomes.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-03-27
DOI
https://doi.org/10.3389/fmed.2026.1809285
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
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article

Staged management of infected diabetic foot ulcers: a 300-patient cohort study on prognostic grading, pathogen dynamics, and individualized risk prediction

Jun Zhang, Yuce Zhang
Frontiers in Medicine
Diabetic Foot Ulcer Assessment and Management
article

Staged management of infected diabetic foot ulcers: a 300-patient cohort study on prognostic grading, pathogen dynamics, and individualized risk prediction

Jun Zhang, Yuce Zhang
article en

Abstract

Objective This study aimed to evaluate the IWGDF/IDSA classification for prognostic stratification in diabetic foot infections (DFIs) and to develop and validate a clinical prediction model for individualized risk assessment. Methods In this retrospective study of 300 patients with DFIs (2020–2024), infection severity was graded as Grade 2 (mild), 3 (moderate), 3(O) (moderate with osteomyelitis), or 4 (severe). We analyzed baseline characteristics, microbiological profiles, treatment responses, and performed time-to-event analyses for ulcer healing and limb salvage. A nomogram predicting 6-month non-healing risk was developed using Cox regression, with performance assessed by C-index and calibration. Subgroup and sensitivity analyses (including competing-risk models) were conducted to test robustness. Results Higher infection grades correlated with worse glycemic control (HbA1c: 9.8% in Grade 4 vs. 8.1% in Grade 2), higher peripheral arterial disease (PAD) prevalence (64.3% vs. 22.4%), and a pathogen shift from Gram-positive cocci (87.2% in Grade 2) to Gram-negative bacilli ( Pseudomonas aeruginosa 52.2%) and polymicrobial infections (60.9%) in Grade 4 (all p < 0.001). Kaplan–Meier analysis revealed a severity-dependent gradient in outcomes: median healing time prolonged from 6.0 weeks (Grade 2) to 18.0 weeks (Grade 4), while the 24-week cumulative amputation rate escalated to 66.7% in Grade 4. Osteomyelitis (Grade 3(O)) constituted a distinct high-risk subgroup, with outcomes approximating Grade 4. A nomogram incorporating infection grade, PAD, HbA1c ≥ 9%, and revascularization status demonstrated good discrimination (C-index 0.82, bootstrap-corrected 0.80) and calibration (Hosmer–Lemeshow p = 0.342), maintained in temporal validation (C-index 0.79). Subgroup analysis confirmed a significant interaction between infection grade and revascularization, with the greatest benefit in severe PAD patients (interaction p = 0.03). Sensitivity analyses, including competing-risk models, affirmed the robustness of the severity–outcome association. Conclusion The IWGDF/IDSA classification effectively stratifies DFI patients by integrated metabolic, vascular, microbiological, and prognostic risk. Osteomyelitis warrants distinct management. The developed nomogram provides a validated tool for individualized risk prediction, facilitating early targeted intervention. These findings advocate for a severity-guided, multidisciplinary treatment paradigm to improve outcomes.

Frontiers in MedicineVol. 13
Harbin Medical University (CN), Fourth Affiliated Hospital of Harbin Medical University (CN)
Good health and well-being
Openalex Percentile: Top 6%
Diabetic Foot Ulcer Assessment and Management
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