ArticleAnnals of translational medicine2020
Development and validation of a nomogram for predicting the risk of obstructive sleep apnea in patients with type 2 diabetes.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review.Systematic reviews · 2024Pooled it
- Obstructive sleep apnea and selected comorbidities - a literature review of cohort studies.Archives of medical science : AMS · 2026Article
- A nomogram for predicting tongue collapse in DISE based on UACT findings in OSA patients.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care.Scientific reports · 2025Article
- Risk factors for hyponatremia in acute exacerbation chronic obstructive pulmonary disease (AECOPD): a multicenter cross-sectional study.BMC pulmonary medicine · 2023Article
- Development and validation of a genomic nomogram based on a ceRNA network for comprehensive analysis of obstructive sleep apnea.Frontiers in genetics · 2023Article
- Influence of different pretreatments and drying methods on the chemical compositions and bioactivities of Smilacis Glabrae Rhizoma.Chinese medicine · 2022Article
- Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Patients with Pulmonary Arterial Hypertension.Nature and science of sleep · 2022Article
- Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Bariatric Surgery Candidates.Nature and science of sleep · 2021Article
- New insights into diabetes mellitus and its complications: a narrative review.Annals of translational medicine · 2020Review
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Authors and funding
6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundObstructive sleep apnea (OSA) is highly prevalent among patients with type 2 diabetes mellitus (T2DM) in China, but few patients with clinical symptoms of OSA are referred for diagnostic polysomnography (PSG). Thus, this study aimed to develop and validate an easy-to-use nomogram that predicts the severity of OSA in patients with T2DM.
methodsThis retrospective study included consecutive patients with T2DM admitted to the Endocrinology Department, Third Affiliated Hospital of Soochow University between January 1, 2016 and December 31, 2019. OSA was diagnosed with PSG. Participants were randomly assigned to a training cohort (70%) and a validation cohort (30%). Demographic, anthropometric, and biochemical data were collected. A least absolute shrinkage and selection operator (LASSO) regression model was used to reduce data dimensionality and identify factors for inclusion in the nomogram (training cohort). Nomogram validation was performed in the validation cohort.
resultsThe study included 280 participants in the training group and 118 participants in the validation group. OSA prevalence was 58.5%. LASSO regression identified waist-to-hip ratio (WHR), smoking status, body mass index (BMI), serum uric acid (UA), the homeostasis model assessment insulin resistance index (HOMA-IR), and history of fatty liver disease as predictive factors for inclusion in the nomogram. Discrimination and calibration in the training group (C-index =0.88) and validation group (C-index =0.881) were good. The nomogram identified patients with T2DM at risk for OSA with an area under the curve of 0.851 [95% confidence interval (CI), 0.788-0.900].
conclusionsOur nomogram could be used to facilitate individualized prediction of OSA risk in patients with T2DM and help prioritize patients for diagnostic PSG.
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