ArticleScientific reports2025
Characterization of pathogenic microorganisms in diabetic foot infections and development of a risk prediction model.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- Development and validation of a risk nomogram model for predicting superficial fungal infections in patients with type 2 diabetes mellitus : a cross-sectional study.BMC infectious diseases · 2026Article
- Staged management of infected diabetic foot ulcers: a 300-patient cohort study on prognostic grading, pathogen dynamics, and individualized risk prediction.Frontiers in medicine · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
This study aimed to investigate the distribution of pathogenic microorganisms in diabetic foot infections (DFIs) and develop a nomogram to predict DFIs. It included 136 diabetic foot (DF) patients hospitalized at Henan University Huaihe Hospital from November 2020 to November 2024, with 86 (63.23%) having confirmed infections. Infections were predominantly caused by Gram-positive cocci (54.65%) and Gram-negative bacilli (43.02%). The nomogram incorporated age, C-reactive protein (CRP), Wagner grade, lower extremity arterial disease (LEAD), and peripheral neuropathy (PN). The predictive model exhibited robust discriminatory capacity, achieving an area under the curve (AUC) of 0.803 (95% confidence interval (CI) 0.735-0.878) with internal cross-validation stability (AUC = 0.804). Goodness-of-fit was confirmed by the Hosmer-Lemeshow test (χ
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