Respiratory effort during sleep and prevalent hypertension in obstructive sleep apnoea
| العنوان: | Respiratory effort during sleep and prevalent hypertension in obstructive sleep apnoea |
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| المؤلفون: | Jean-Benoit Martinot, Nhat-Nam Le-Dong, Atul Malhotra, Jean-Louis Pépin |
| المساهمون: | Université Catholique de Louvain = Catholic University of Louvain (UCL), Institute of Experimental and Clinical Research [Brussels, Belgium] (Pole of Pneumology, ENT and Dermatology), Sunrise SA [Namur, Belgique], University of California [San Diego] (UC San Diego), University of California (UC), Hypoxie et PhysioPathologie (HP2), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), SALAS, Danielle |
| المصدر: | European Respiratory Journal European Respiratory Journal, 2022, pp.2201486. ⟨10.1183/13993003.01486-2022⟩ The European respiratory journal, vol 61, iss 3 |
| بيانات النشر: | HAL CCSD, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Pulmonary and Respiratory Medicine, Adult, screening and diagnosis, Sleep Apnea, Obstructive, Polysomnography, [SDV]Life Sciences [q-bio], Respiratory System, Cardiovascular, Medical and Health Sciences, [SDV] Life Sciences [q-bio], Detection, Risk Factors, Clinical Research, Hypertension, Respiratory, Humans, Sleep, Sleep Research, Lung, 4.2 Evaluation of markers and technologies |
| الوصف: | BackgroundMechanisms underlying blood pressure changes in obstructive sleep apnoea (OSA) are incompletely understood. Increased respiratory effort is one of the main features of OSA and is associated with sympathetic overactivity, leading to increased vascular wall stiffness and remodelling. This study investigated associations between a new measure of respiratory effort (percentage of total sleep time spent with increased respiratory effort based on measurement of mandibular jaw movements (MJM): REMOV, %TST) and prevalent hypertension in adults referred for evaluation of suspected OSA.MethodsA machine learning model was built to predict hypertension from clinical data, conventional polysomnography (PSG) indices and MJM-derived parameters (including REMOV). The model was evaluated in a training subset and a test subset.ResultsThe analysis included 1127 patients: 901 (80%) in the training subset and 226 (20%) in the test subset. The prevalence of hypertension was 31% and 30%, respectively, in the training and test subsets. A risk stratification model based on 18 input features including REMOV had good accuracy for predicting prevalent hypertension (sensitivity 0.75 and specificity 0.83). Using the Shapley additive explanation method, REMOV was the best predictor of hypertension after clinical risk factors (age, sex, body mass index and neck circumference) and time with oxygen saturation ConclusionThe proportion of sleep time spent with increased respiratory effort automatically derived from MJM was identified as a potential new reliable metric to predict prevalent hypertension in patients with OSA. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0903-1936 1399-3003 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b978f731022c07cf984b2d9fba69cb4 https://www.hal.inserm.fr/inserm-03941600 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....0b978f731022c07cf984b2d9fba69cb4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 09031936 13993003 |
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