To explore the infection characteristics of different bacterial diabetic foot (DF) in Yunnan area and provide a reference basis and clinical predictive indicators for individualized treatment of patients with diabetic foot infection (DFI).
Key Findings:
Bacterial detection rate was 61.20%, with Staphylococcus aureus as the most common pathogen, followed by Escherichia coli, which showed high resistance rates to specific antibiotics.
Staphylococcus aureus showed high resistance to penicillin, clindamycin, and erythromycin; Escherichia coli showed high resistance to ampicillin and other antibiotics.
Independent risk factors for DF complicated with infection included male gender, FDP, D-dimer, PT, FIB, and γ-GT.
The combination of D-dimer + FDP + FIB had the largest AUC (0.7848) for predicting DF complications, indicating strong predictive capability.
Interpretation:
The study highlights the need for localized empirical anti-infection regimens based on regional bacterial spectra differences, emphasizing the importance of early screening and intervention in diabetic foot infections to improve patient outcomes.
Limitations:
Single-center retrospective study may introduce selection bias and limit generalizability.
Sample size determined by convenience sampling without prior power analysis may affect statistical efficiency.
Results may not be generalizable to outpatients or primary medical institutions.
Conclusion:
The combination of D-dimer + FDP + FIB can serve as an effective tool for early exclusion of DFI in the Yunnan area, demonstrating high specificity and significant clinical relevance.
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