Analysis of infection characteristics and clinical predictive indicators of different bacterial diabetic foot in Yunnan area - Takeaways - MDSpire

Analysis of infection characteristics and clinical predictive indicators of different bacterial diabetic foot in Yunnan area

  • By

  • Rong Zhu

  • Keqiang Mei

  • Zehui Liu

  • Lijuan Ma

  • Shiyu Feng

  • Yaping Zhao

  • Lixin Chen

  • Zizhou Wang

  • Zhenqin Ran

  • Rong Yang

  • Rui Han

  • May 8, 2026

  • 0 min

Share

  • 1

    The study analyzed infection patterns in 194 diabetic foot patients in Yunnan, focusing on bacterial characteristics and clinical predictors.

  • 2

    Staphylococcus aureus and Escherichia coli were the most common pathogens, with high resistance rates to multiple antibiotics.

  • 3

    Logistic regression identified male gender, FDP, D-dimer, PT, FIB, and γ-GT as independent risk factors for diabetic foot infections.

  • 4

    The combination of D-dimer, FDP, and FIB showed high specificity (92.31%) for predicting diabetic foot infections in the region.

  • 5

    The findings emphasize the need for localized treatment strategies based on regional bacterial spectra to improve diabetic foot care.

Original Source(s)

Analysis of infection characteristics and clinical predictive indicators of different bacterial diabetic foot in Yunnan area

  • by Rong Zhu, Keqiang Mei, Zehui Liu, Lijuan Ma, Shiyu Feng, Yaping Zhao, Lixin Chen, Zizhou Wang, Zhenqin Ran, Rong Yang, Rui Han

  • May 8, 2026

Related Content

Implant Infectious Diseases: An Introduction to Biomaterials for ID Physicians

The Loan Cap That Could Shrink the Doctor Pipeline

New federal limits on medical school borrowing may quietly reshape who becomes a physician—and where they practice.

Antibiotic therapy in necrotizing soft tissue infections: a narrative review of the greater Paris SURFAST consortium