ArticleFrontiers in endocrinology2021
Diagnostic Accuracy of Oxygen Desaturation Index for Sleep-Disordered Breathing in Patients With Diabetes.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and validation of a nomogram model to predict coronary heart disease in snoring patients with hypertension and non-glucose metabolism disorders.Journal of medical biochemistry · 2025Article
- Sleep-disordered breathing in a multiethnic cohort of preterm adolescents and adults: assessment of neonatal and subsequent risk factors.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Observational
- Dysmetabolism and Sleep Fragmentation in Obstructive Sleep Apnea Patients Run Independently of High Caffeine Consumption.Nutrients · 2022Article
- Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity.Advances in experimental medicine and biology · 2022Review
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Authors and funding
10 authors.
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Abstract
Background: Polysomnography (PSG) is the gold standard for diagnosis of sleep-disordered breathing (SDB). But it is impractical to perform PSG in all patients with diabetes. The objective was to develop a clinically easy-to-use prediction model to diagnosis SDB in patients with diabetes. Methods: A total of 440 patients with diabetes were recruited and underwent overnight PSG at West China Hospital. Prediction algorithms were based on oxygen desaturation index (ODI) and other variables, including sex, age, body mass index, Epworth score, mean oxygen saturation, and total sleep time. Two phase approach was employed to derivate and validate the models. Results: ODI was strongly correlated with apnea-hypopnea index (AHI) (r Conclusions: ODI is a sensitive and specific tool to predict SDB in patients with diabetes.
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