Diabetic foot is an infection of lower extremity, ulceration and/or deep tissue damage due to neuropathy and varying degrees of vascular disease in diabetic patients, including diabetic foot ulcerations or infections. Diabetic foot can lead to adverse consequences such as amputation and death,which seriously endangering the physical and mental health and quality of life for patients. Early identification of risk factors for diabetes foot is useful to reduce the risk of hospitalization, amputation or even mortality.~Most prediction models for diabetic foot focus on recurrent diabetic foot, however there is little published information on new-onset diabetic foot. This study aims to conduct a retrospective cohort based on Shandong Provincial Qianfoshan Hospital Healthcare Big Data Platform and build a prediction model for the new-onset diabetic foot using the related risk factors, which is of guidance significance for clinical prevention and treatment of diabetic foot.
A retrospective cohort study was constructed based on hospitalized patients with type 2 diabetes, aiming to explore the related factors for new-onset diabetic foot and conducted a robust prediction model by Cox proportional hazards model.