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Pépin JL, Bailly S, Texereau JB, Sonnet E, Picard S, Vergès B, Coffin Boutreux C, Arnault Ouary G, Kessler L, Guerci B, Anton Kuchly B, Fendri Gaied S, Cuperlier A, Voinot C, Derrien C, Dubois S, Lavergne F, Borel AL, Tamisier R, Benhamou PY. Prevalence of sleep apnoea in patients with type 1 diabetes and its association with comorbidities and diabetic complications: A French nationwide prospective study. Diabetes Obes Metab 2023; 25:1624-1631. [PMID: 36792920 DOI: 10.1111/dom.15015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023]
Abstract
AIM To investigate sleep apnoea prevalence, factors influencing severity, and associations between sleep apnoea severity and micro-/macrovascular complications in a large population of patients with type 1 diabetes. MATERIALS AND METHODS This French multicentre prospective cohort study was conducted between July 2016 and June 2020. Adults with type 1 diabetes using an insulin pump were eligible. Home care provider nurses collected demographic and clinical data and set up oximetry to determine the oxygen desaturation index (ODI). No, mild-moderate and severe sleep apnoea were defined as ODI <15 events/h, 15 to <30 events/h and ≥30 events/h, respectively. Univariate and multivariate analyses were performed to identify factors associated with sleep apnoea, and associations between sleep apnoea severity and micro-/macrovascular complications were determined using logistic regression. RESULTS Of 769 participants, 12.4% and 3.4% had mild-to-moderate or severe sleep apnoea, respectively. Factors significantly associated with sleep apnoea on multivariate analysis were age, sex, body mass index (BMI) and hypertension. After adjustment for age, sex and BMI, presence of severe sleep apnoea was significantly associated with macrovascular complications (odds ratio vs. no sleep apnoea: 3.96 [95% confidence interval 1.43-11.11]; P < 0.01), while mild-to-moderate sleep apnoea was significantly associated with presence of diabetic retinopathy (odds ratio 2.09 [95% confidence interval 1.10-3.74]; P < 0.01). CONCLUSION Sleep apnoea is a significant comorbidity in patients with type 1 diabetes, especially with respect to diabetic complications. This highlights the need for sleep apnoea screening and management in these individuals.
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Affiliation(s)
- Jean-Louis Pépin
- Univ. Grenoble Alpes, INSERM U1300, CHU Grenoble Alpes, Grenoble, France
| | - Sébastien Bailly
- Univ. Grenoble Alpes, INSERM U1300, CHU Grenoble Alpes, Grenoble, France
| | - Joelle B Texereau
- Respiratory Physiology Unit, Department of Respiratory Medicine, Cochin Hospital, AP-HP/Université de Paris, Paris, France
- VitalAire, Air Liquide Health Care, Bagneux, France
| | | | | | | | | | | | - Laurence Kessler
- Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | | | | | | | | | | | | | | | | | - Anne Laure Borel
- Univ. Grenoble Alpes, INSERM U1300, CHU Grenoble Alpes, Grenoble, France
| | - Renaud Tamisier
- Univ. Grenoble Alpes, INSERM U1300, CHU Grenoble Alpes, Grenoble, France
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Nevoret C, Tessier C, Laurendeau C, Voinot C, Kab S, Goldberg M. Apports et limites du « machine learning » dans la prédiction du changement du stade de sévérité de l'asthme en France : une analyse du Système national des données de santé (SNDS). Rev Epidemiol Sante Publique 2022. [DOI: 10.1016/j.respe.2022.01.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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