Factors Associated with Residual Events in CPAP-Treated Sleep Apnea: Data from a Large French National Database

S. Bailly, N. Daabek, I. Jullian-desayes, M. Joyeux-faure, M. Sapéne, Y. Grillet, J. Borel, R. Tamisier, J. Pépin
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Abstract

Introduction & background: Residual events during CPAP contribute to increase treatment drop-outs. Clinical scenarios triggering residual events during CPAP use are poorly described. Aims & objectives: Underlying comorbidities, especially cardiovascular diseases, lifestyle factors, OSA characteristics at baseline and type of mask are suggested as potential contributors. Methods: Patients from the prospective national French sleep apnea registry with apnea-hypopnea index (AHI) = 15/h and CPAP indication were included. A logistic regression analysis was used to identify factors associated with the probability of exhibiting a residual AHI > 5/h whilst on CPAP. Results: 12,285 OSA patients predominantly men (N=8715, 70.9%), middle aged (median [IQR]: 58.2 [49.8;66.1] years) and obese (median body mass index: 31.3 [27.7;35.6] kg/m²) were included. Most had an AHI=5/h (N=9,573, 77.9%) versus 22.1% exhibited an AHI>5/hour. The latter group was significantly less adherent to CPAP (5.75 [4.01;7.00] vs 6.00 [4.53;7.00] h/night). In multivariable analysis, factors associated with a high residual AHI were male gender, age and sedentary lifestyle, OSA severity, cardiovascular comorbidities and interface (orofacial versus nasal mask: OR = 2.15 [CI: 1.95;2.37]). Conclusions: The knowledge of at-risk clinical scenarios predicting more frequent residual events will help in the timely provision of personalized care including type of PAP therapy, attention to comorbidity care and interfacechoice
与cpap治疗的睡眠呼吸暂停残留事件相关的因素:来自大型法国国家数据库的数据
介绍与背景:CPAP期间的残留事件会增加治疗退出率。在CPAP使用过程中引发残留事件的临床场景描述很少。目的和目的:潜在的合并症,特别是心血管疾病、生活方式因素、基线时的OSA特征和口罩类型被认为是潜在的影响因素。方法:纳入来自法国前瞻性全国睡眠呼吸暂停登记处的呼吸暂停低通气指数(AHI) = 15/h和CPAP指征的患者。采用逻辑回归分析来确定与CPAP时显示残余AHI bb0.5 /h的概率相关的因素。结果:纳入12285例OSA患者,以男性为主(N=8715, 70.9%),中年(中位[IQR]: 58.2[49.8;66.1]岁),肥胖(中位体重指数:31.3 [27.7;35.6]kg/m²)。大多数患者的AHI值为5/h (N= 9573, 77.9%), 22.1%患者的AHI值为5/h。后一组CPAP依从性明显较低(5.75 [4.01;7.00]vs 6.00 [4.53;7.00] h/夜)。在多变量分析中,与高残留AHI相关的因素包括男性性别、年龄和久坐生活方式、OSA严重程度、心血管合共病和界面(口面与鼻罩:OR = 2.15 [CI: 1.95;2.37])。结论:了解预测更频繁的残留事件的高危临床情景将有助于及时提供个性化护理,包括PAP治疗的类型、对合并症护理的关注和界面选择
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