ArticleActa endocrinologica (Bucharest, Romania : 2005)
STOP-BANG QUESTIONNAIRE - AN EASY TOOL FOR IDENTIFYING OBSTRUCTIVE SLEEP APNEA SYNDROME IN PATIENTS WITH TYPE 2 DIABETES MELLITUS.
Article in Acta endocrinologica (Bucharest, Romania : 2005). 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, 6 citations in OpenAlex.
- Obstructive sleep apnea risk and its association with diabetic foot ulcer in patients with type 2 diabetes.Frontiers in endocrinology · 2026Observational
- Pericoronary Fat Attenuation Index Mediates the Link Between TyG Index and OSA Risk in Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Efficacy of dietary and lifestyle interventions in obesity management: a therapeutic protocol at the Diabetes Department, Marius Nasta Institute of Pneumophthisiology, Bucharest, Romania.Journal of medicine and life · 2025Article
- Review
- Obstructive sleep apnea risk among adults with type 2 diabetes mellitus in an urban primary care setting of Mangalore, India.Journal of family medicine and primary care · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
Background: Patients with type 2 diabetes mellitus (T2DM) have a higher risk of developing obstructive sleep apnea (OSA) compared to the general population. Our study aims to analyze the usefulness of the STOP-BANG score, tool which was not yet validated in patients with diabetets, as a tool that estimates the severity of OSA, in patients with T2DM. Methods: 120 patients, who answered the STOP-BANG questionnaire and underwent polysomnography, were included in the study. The patients were divided into 3 groups, depending on the severity of OSA, defined by the apnea/hypopnea index (AHI). Results: A significant percentage of participants (42.1%) had a severe form of OSA (AHI ≥30) and a high percentage of subjects had a STOP-BANG score ≥5 (58.7%), equivalent to a severe form of the disease. The STOP-BANG score increased proportionally with AHI (p<0.001). The area under the ROC curve for the STOP-Bang score indicated an optimal cut-off value of 4.5, with a sensitivity of 88.2% and a specificity of 62.9% (p <0.001), STOP-BANG score ≥5 being an independent predictor for severe OSA in patients with T2DM. Conclusions: The STOP-BANG score can be used in patients with diabetes to detect severe OSA in order to establish appropriate therapeutic measures.
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