ArticleFrontiers in medicine2025
Construction and validation of an ultrasound-based nomogram model for predicting dysphagia in patients with chronic obstructive pulmonary disease.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The relationship between swallowing function and clinical parameters in patients with chronic obstructive pulmonary disease.BMC pulmonary medicine · 2026Article
- Development and Validation of an Explainable Machine Learning Model for Identification of Dysphagia in Patients with COPD.International journal of chronic obstructive pulmonary disease · 2026Article
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Authors and funding
7 authors.
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Abstract
Introduction: Dysphagia is common in chronic obstructive pulmonary disease (COPD), prompting the need for predictive models for this condition. In this study, we aimed to develop a nomogram model for dysphagia prediction in patients with COPD. Methods: Data from 300 patients with COPD were divided into the training ( Results: Hypoglossal-hyoid shortening rate, hyoid-larynx shortening approximation distance, chin time of movement of the genioglossus, and distance of movement of the genioglossus were identified as independent risk factors. The nomogram exhibited areas under the curve of 0.834 and 0.804 in the training and validation cohorts, respectively, indicating good predictive efficacy and calibration. Conclusion: The nomogram model effectively predicts dysphagia occurrence in patients with COPD, providing a valuable tool for risk assessment.
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