Construction of nomogram prediction model for the risk of oral frailty in elderly patients with type 2 diabetes mellitus

ZHONG Lei; ZHANG Hui; XU Jing; LU Yawei; XIANG Xiaoting; WANG Heng

doi:10.7619/jcmp.20240638

Journal of Clinical Medicine in Practice > 2024 > 28(16): 98-103, 108. > DOI: 10.7619/jcmp.20240638

ZHONG Lei, ZHANG Hui, XU Jing, LU Yawei, XIANG Xiaoting, WANG Heng. Construction of nomogram prediction model for the risk of oral frailty in elderly patients with type 2 diabetes mellitus[J]. Journal of Clinical Medicine in Practice, 2024, 28(16): 98-103, 108. DOI: 10.7619/jcmp.20240638

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Construction of nomogram prediction model for the risk of oral frailty in elderly patients with type 2 diabetes mellitus

ZHONG Lei^{1, 2, 3},
ZHANG Hui^{1, 2, 3, ,},
XU Jing¹,
LU Yawei¹,
XIANG Xiaoting¹,
WANG Heng²

1.
School of Nursing of Anhui Medical University, Hefei, Anhui, 230601
2.
the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032
3.
Anhui Provincial Clinical Center for Public Health, Hefei, Anhui, 230032

More Information

Received Date: February 14, 2024
Revised Date: April 12, 2024

Graphical Abstract

Abstract

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 that χ²=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.
- elderly,
- type 2 diabetes,
- oral frailty,
- nomogram,
- influencing factors,
- prediction model

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References (23)

References

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