ArticleFrontiers in neuroscience2023
A risk-predictive model for obstructive sleep apnea in patients with chronic obstructive pulmonary disease.
Article in Frontiers in neuroscience, 2023. 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, 4 citations in OpenAlex.
- Development of a machine learning model using systemic and ophthalmic parameters to detect sleep-disordered breathing in glaucoma patients.Japanese journal of ophthalmology · 2026Article
- Obstructive sleep apnea and selected comorbidities - a literature review of cohort studies.Archives of medical science : AMS · 2026Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
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Abstract
Background: Obstructive sleep apnea syndrome (OSA) is increasingly reported in patients with chronic obstructive pulmonary disease (COPD). Our research aimed to analyze the clinical characteristics of patients with overlap syndrome (OS) and develop a nomogram for predicting OSA in patients with COPD. Methods: We retroactively collected data on 330 patients with COPD treated at Wuhan Union Hospital (Wuhan, China) from March 2017 to March 2022. Multivariate logistic regression was used to select predictors applied to develop a simple nomogram. The area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA) were used to assess the value of the model. Results: A total of 330 consecutive patients with COPD were enrolled in this study, with 96 patients (29.1%) confirmed with OSA. Patients were randomly divided into the training group (70%, Conclusion: We established a concise and practical nomogram that will benefit the advanced diagnosis of OSA in patients with COPD.
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