Prevalence of obstructive sleep apnea in diabetic patients

• Published in: Annals of African medicine Vol. 20; no. 3; pp. 206 - 211
• Main Authors: Singh, Ankita, Chaudhary, Shyam, Gupta, Kamlesh, Sawlani, Kamal, Singh, Abhishek, Verma, Ajay
• Format: Journal Article
• Language: English
• Published: Sokoto Wolters Kluwer India Pvt. Ltd 01.07.2021; Medknow Publications and Media Pvt. Ltd; Medknow Publications & Media Pvt. Ltd; Medknow Publications & Media Pvt Ltd
• Subjects: Body mass index; Care and treatment; Diabetes; Diabetics; Health risks; Insulin resistance; Obesity; Original; Sleep apnea; Sleep apnea syndromes; Statistical analysis; Type 2 diabetes; India; obstructive sleep apnea; apnée obstructive du sommeil; indice de masse corporelle; diabète sucré; Apnea hypopnea index; STOP BANG questionnaire; body mass index; diabetes mellitus; polysomnography; polysomnographie; STOP-BANG questionnaireMots-clés: indice d'apnée hypopnée
• ISSN: 1596-3519; 0975-5764
• DOI: 10.4103/aam.aam_43_20

Context: Obstructive sleep apnea (OSA)-related hypoxemia stimulates release of acute-phase proteins and reactive oxygen species that exacerbate insulin resistance and lipolysis and cause an augmented prothrombotic and proinflammatory state which can leads to premature death. Aims: This study aims to study the prevalence of OSA in diabetic patients. Setting and Design: It was a cross-sectional study, done over a period of 1 year in a tertiary care hospital. Materials and Methods: A total of 149 type 2 diabetic patients were enrolled after taking written consent. All patients were subjected to STOP BANG questionnaire and patients falling in intermediate-high risk (score 3-8), were taken for overnight polysomnography to confirm the diagnosis of OSA (apnea hypopnea index ≥ 5). Statistical Analysis Used: Statistical Package for Social Sciences (SPSS) Version 21.0 statistical analysis software. Results: Fifty-five percent of our diabetic population were having OSA. The age of patients enrolled in the study ranged between 30 and 86 years and prevalence increases with an increase in age groups. Majority (61.7%) of our cases were males. Incremental trend in weight, body mass index (BMI), neck circumference, and waist circumference of OSA cases were found with increasing in severity of OSA. Mean levels of raised blood sugar and HbA1c were higher in severe OSA cases. Conclusions: OSA has a high prevalence in patients with type 2 diabetes mellitus. Patients with type 2 diabetes should be screened for OSA, even in the absence of symptoms, especially in individuals with higher waist circumference and BMI.