Construction of nomogram prediction model for the risk of oral frailty in elderly patients with type 2 diabetes mellitus
- VernacularTitle:老年2型糖尿病患者发生口腔衰弱风险的列线图预测模型构建
- Author:
Lei ZHONG
1
;
Hui ZHANG
;
Jing XU
;
Yawei LU
;
Xiaoting XIANG
;
Heng WANG
Author Information
- Publication Type:Research Article
- Keywords: elderly; type 2 diabetes; oral frailty; nomogram; influencing factors; prediction model
- From: Journal of Clinical Medicine in Practice 2024;28(16):98-103
- CountryChina
- Language:Chinese
-
Abstract:
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 oral 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 analysis was used to analyze the influencing factors of oral frailty in patients with type 2 diabetes, and nomogram model was constructed. The goodness-of-fit and predictive performance of the model were verified 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 thatχ 2=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 patients. The nomogram prediction model constructed based on these influencing factors demonstrates good performance.
