Clinical characteristics of patients with diabetic foot using WIfI classification-A pilot study in Vietnam.

Background: Due to its effect on patient health and healthcare resources, the study of diabetic foot is essential. Despite the existence of classification and grading systems, further evidence is required. Current systems are prone to a lack of validation in specific populations, inadequate consideration of regional variations, and an incomplete evaluation of risk factors and outcomes. The prevalence and complications of diabetes, such as diabetic foot, are on the rise worldwide, necessitating regionally specific research. To fill these gaps, this study focuses on a Southeast Asian subpopulation.

Objective: The study aims to evaluate the clinical characteristics of diabetic foot patients using the WIfI classification system, and to develop a risk calculator for patients to predict and evaluate potential outcomes.

Methods: A retrospective analysis was conducted on the medical records of patients with diabetic foot who visited a tertiary hospital in Vietnam between December 2021 and July 2022. Demographic data, clinical characteristics, and outcomes were collected and classified according to the WIfI (Wound, Ischemia, and foot Infection) classification system. Descriptive statistics were used to analyze the data, and a multivariable logistic regression model was employed to develop a risk calculator.

Results: The study included 60 patients with diabetic foot. Gender distribution was similar (56.7% male), with a mean age of 44 years. Most patients had ulcers of varying degrees, while ischemia contributed to higher grades, placing 43.3% at moderate-to-high risk of amputation (stages 3 and 4). HbA1c positively correlated with amputation risk (p<0.05), while ABI, TBI, and TP showed inverse correlations (p<0.001). The amputation risk equation based on the WIfI scale was: risk=3.701-0.788ABI-1.260TP. A risk calculator was developed using these predictors to estimate adverse outcomes.

Conclusion: In diabetic foot patients, early identification and management of risk factors are crucial. The findings of this study highlight the importance of ischemia and its association with amputation risk. Incorporating HbA1c, ABI, and TP, the risk calculator enables personalized assessments of amputation risk, thereby assisting healthcare professionals in treatment planning. Further validation and refinement of the risk calculator is required for broader clinical application.