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Development and Validation of a Nomogram for Predicting Oral Frailty Risk in Elderly Patients With Ischaemic Stroke
Wen Xiao1,2, Danfeng Gu1, Mingqi Zhang2
1Affiliated Hospital of Jiangnan University, Wuxi, China.
Journal of Clinical Nursing
|July 8, 2025
Summary
This study developed a risk model for oral frailty in elderly stroke patients. The nomogram identifies key risk factors, aiding early intervention for better oral health outcomes.
Area of Science:
- Geriatric Medicine
- Neurology
- Oral Health
Background:
- Elderly patients with ischaemic stroke are at high risk of developing oral frailty.
- Early identification and intervention are crucial for managing oral health in this population.
Purpose of the Study:
- To develop and validate a risk prediction model for oral frailty in elderly patients following ischaemic stroke.
- To identify significant predictors of oral frailty in this demographic.
Main Methods:
- A cross-sectional study involving 633 elderly ischaemic stroke patients.
- Patients were divided into training (n=443) and validation (n=190) sets.
- Feature selection and logistic regression were used to construct a nomogram model, validated with ROC curves, Hosmer-Lemeshow tests, and calibration plots.
Main Results:
- The prevalence of oral frailty was high (63.2% training, 62.1% validation).
- Key predictors included denture use, brushing frequency, dry mouth, chewing difficulty, swallowing function, and oral health literacy.
- The nomogram demonstrated strong discriminative ability and excellent calibration.
Conclusions:
- A reliable and accessible risk prediction model for oral frailty in elderly ischaemic stroke patients was developed.
- This model facilitates clinical identification of high-risk individuals.
- It provides a foundation for targeted oral health interventions and improved patient management.
