Development Of Predictive Mortality Risk Model For Diabetic Foot Patients

Objective: In order to improve the predictive capability of the mortality risk in diabetic foot patients,in this study,we use patients’ baseline data,physiological data,laboratory tests,comorbidity status and clinical treatment to screen factors associated with the mortality risk in diabetic foot patients and develop a predictive mortality risk model of diabetic foot patients to provide help in clinical work.Methods: Data were obtained from the information of 278 diabetic foot patients admitted to the First Hospital of Jilin University from January 2013 to December 2017.Inclusion criteria: clear diagnosis;with complete laboratory findings;receiving clinical intervention;with complete follow-up information.On repeat admissions,data from the first medical record were selected for inclusion in the study.Exclusion criteria: lost on follow-up data,those who died due to rapid disease progression before starting or just after starting treatment due to late presentation,and patients with other local or systemic infectious diseases.After screening,a total of 130 patients were included in the study.By using IBM SPSS 25.0 software,the methodological study enables a multidimensional analysis of survival outcomes,survival time and between factors.Survival curves were plotted using the Kaplan-Meier method for univariate analysis,while the log-rank test was used to compare whether the survival curves were statistically different.Multi-factor Cox risk proportional regression model method was used for factors with P < 0.05 in the univariate analysis,and risk ratio(HR)values and their 95% confidence intervals(CI)were calculated.Results: Among the 130 patients who met the inclusion criteria,the mean survival time was 62.20 ± 11.365 months.According to the univariate analysis-multifactor regression analysis,it was concluded that Wagner classification ≥3,combined heart disease,smoking and advanced age were factors associated with the mortality risk in diabetic foot patients.These factors were good predictors of the mortality risk in diabetic foot patients.It is clear that Wagner classification ≥3 is the most accurate predictor.The predictive mortality risk model of diabetic foot patients constructed in this study can help clinicians to assess the current condition of patients and predict the progression of disease regression to a certain extent,providing objective reference information in clinical medical decision-making.