ArticleNature and science of sleep2021
Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Bariatric Surgery Candidates.
Article in Nature and science of sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Construction and Validation of a TyG-ALT-Based Diagnostic Risk-Stratification Model for Metabolic-Associated Fatty Liver Disease in Patients with Obstructive Sleep Apnea.Journal of clinical medicine · 2026Article
- Validation Performance of Screening Tools for Predicting Obstructive Sleep Apnea Among Chinese Patients Undergoing Metabolic Bariatric Surgery: Insights from a Multicenter Database.Obesity surgery · 2026Article
- Association Between Obstructive Sleep Apnea and Preoperative Cardiopulmonary Fitness in Patients Undergoing Sleeve Gastrectomy: A Real-World Study.Obesity surgery · 2026Article
- The prevalence and predictors of obstructive sleep apnea in patients undergoing bariatric surgery in Saudi Arabia.Saudi medical journal · 2025Article
- Advancements in Obstructive Sleep Apnea Diagnosis and Screening Through Artificial Intelligence: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Associations Between Obstructive Sleep Apnea and Metabolic Dysfunction-Associated Fatty Liver Disease: Insights from Comprehensive Mendelian Randomization and Gene Expression Analysis.Nature and science of sleep · 2025Article
- Causal Relationship of Obstructive Sleep Apnea with Bone Mineral Density and the Role of BMI.Nature and science of sleep · 2024Article
- Obesity, Bariatric Surgery and Obstructive Sleep Apnea-A Narrative Literature Review.Medicina (Kaunas, Lithuania) · 2023Review
- Development and validation of a genomic nomogram based on a ceRNA network for comprehensive analysis of obstructive sleep apnea.Frontiers in genetics · 2023Article
- Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Patients with Pulmonary Arterial Hypertension.Nature and science of sleep · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObstructive sleep apnea (OSA) is highly prevalent in bariatric surgery patients and can lead to potential perioperative risks, but some screening tools lack adequate performance in this population. Thus, we aimed to develop and validate a clinical nomogram for predicting OSA in bariatric surgery candidates.
methodsWe retrospectively collected the data of 482 bariatric surgery patients between September 2015 and January 2020. Patients were randomly classified into training cohort (n=338) and validation cohort (n=144). The Lasso regression was used to select potentially relevant features; then, multivariable logistic regression analysis was used to establish the nomogram. Discrimination, calibration and clinical usefulness of the nomogram were assessed using the C-index, calibration curve and decision curve analysis (DCA).
resultsThe overall prevalence of OSA was 71.0% and higher in males (88.2%) compared to females (60.1%). Of these, 26.1% had mild OSA, 14.9% had moderate OSA, and 44.8% had severe OSA. The nomogram consisted of gender, habitual snoring, type 2 diabetes mellitus (T2DM), neck circumference, body mass index (BMI) and age. The nomogram provided favorable discrimination, with a C-indexes for the training and validation cohort of 0.856 (95% CI: 0.816-0.897) and 0.829 (95% CI: 0.76-0.895), respectively, and good calibration. The DCA displayed that the nomogram was clinically useful.
conclusionWe established a concise and practical nomogram that could facilitate the preoperative individualized prediction of OSA before bariatric surgery, which may help clinicians select bariatric surgery patients with high-risk OSA for polysomnography (PSG).
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