Research progress on risk prediction models for the diabetic foot

Haixia Qi ¹, Tao Zhang ², Lijie Hou ³

⁰School of Nursing, Lanzhou University, Lanzhou, 730011, China.

Acta Diabetologica +

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April 19, 2025

View abstract on PubMed

Summary

Diabetic foot risk prediction models effectively identify at-risk individuals. Early intervention using these models significantly reduces diabetic foot incidence and improves patient outcomes.

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.

Keywords:

Diabetes Diabetic foot ulcer High-risk diabetic foot Prediction model