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The use of algorithms to assess the risk of diabetic ulcer infection and identify predictors of infection can be highly useful for sorting patients by the degree of diabetic ulcer complication risk, appropriate management, and the selection of suitable medical care. Timely detection of patients with uncomplicated diabetic ulcers may be extremely important for further adequate outpatient treatment, avoiding hospitalization. It is believed that effective intervention in diabetes foot syndrome treatment can prevent amputations, reducing the long-term burden on the economy and healthcare system.
Materials and Methods. Outpatient patients with diabetic foot ulcers were selected. After screening using the diabetic foot syndrome assessment form and risk stratification of diabetic ulcer infection using the developed algorithm, infection risk factors will be identified and patients with low risk of diabetic ulcer infection will be determined based on clinical signs. Subsequently, the risk of diabetic ulcer infection will be determined by laboratory and microbiological characteristics.
Results. At the initial screening, 33.1% of diabetic ulcers had clinical signs of infection. Independent risk factors for infection were identified, such as the depth of the diabetic ulcer r = 0.909, p <0.01, microbial load, and the level of leukocytes in the blood (r = 0.273, p = 0.032).
Conclusion. A structured strategy of monitoring and prevention of diabetic ulcer infection risk assists in treatment strategy selection and reduces the risk of diabetic foot syndrome complications.
Keywords: diabetic foot ulcer, risk factors, infections, wound healing

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