Construction of nomogram prediction model for the risk of oral frailty in elderly patients with type 2 diabetes mellitus
Objective To analyze the influencing factors of oral frailty in elderly patients with type 2 diabetes and construct a nomogram prediction model.Methods A total of 370 elderly patients with type 2 diabetes were selected as the research subjects,including 284 patients in the modeling group and 86 patients in the validation group.The Oral Frailty Index-8(OF-8)Scale was used for o-ral frailty screening,and a score of ≥4 was considered positive for oral frailty.General information of the two groups was collected through a self-made questionnaire.Multivariate Logistic regression analy-sis was used to analyze the influencing factors of oral frailty in patients with type 2 diabetes,and no-mogram model was constructed.The goodness-of-fit and predictive performance of the model were ver-ified using the Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic curve(ROC).Results The incidence of oral frailty among elderly patients with type 2 diabetes was 45.4％(129/284).Age,body mass index(BMI),appendicular skeletal muscle mass index(ASMI),smoking,monthly income and subjective chewing difficulty were identified as influencing factors for oral frailty in elderly diabetic patients(P＜0.05).The areas under the ROC for internal and external validation were 0.887(95％CI,0.847 to 0.925)and 0.839(95％CI,0.755 to 0.923),respectively.The Hosmer-Lemeshow test showed that x2=4.852,P=0.773,indicating good goodness-of-fit for the nomogram model.Conclusion Age,ASMI,BMI,smoking,monthly income and subjective chewing difficulty are influencing factors for oral frailty in elderly diabetic pa-tients.The nomogram prediction model constructed based on these influencing factors demonstrates good performance.
elderlytype 2 diabetesoral frailtynomograminfluencing factorsprediction model
万方数据
维普
