Research progress on risk prediction models for the diabetic foot.

Area of Science:

• Public Health
• Medical Informatics
• Clinical Medicine

Background:

• Diabetic foot ulcers are a major cause of disability and mortality in diabetic patients.
• These ulcers present complex etiological factors and impose significant social and economic burdens.
• Accurate risk prediction is crucial for timely intervention and management.

Purpose of the Study:

• To review recent advancements in diabetic foot risk prediction models.
• To identify key variables, model construction strategies, and validation methods.
• To reduce the incidence and mortality rates of diabetic foot ulcers.

Main Methods:

• Systematic review and comprehensive analysis of electronic databases and manual literature collection.
• Strict adherence to inclusion and exclusion criteria for study selection.
• Detailed quality assessment, data extraction, and analysis of selected literature.

Main Results:

• Summarized development trends and future research directions for diabetic foot risk prediction models.
• Identified potential risk factors through advanced prediction models.
• Demonstrated effective reduction in diabetic foot incidence and improved quality of life.

Conclusions:

• Diabetic foot risk prediction models are effective tools for identifying risk factors and guiding early interventions.
• Early identification and intervention significantly improve patient prognosis and quality of life.
• These models provide valuable guidance for public health strategies related to diabetic foot care.