Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea

Author:

Doghman FatmaORCID,Ballo Haitham,Anttalainen Ulla,Saaresranta Tarja

Abstract

Abstract Aim In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affecting extensive treatment usage. Methods In this retrospective study, we compiled an institutional cohort of consecutive patients diagnosed with who started CPAP therapy 1999–2022 and were included in a wireless telemonitoring system in May 2022 (N = 14,394). Patients using CPAP device ≥ 9 h/d were stratified into a younger (< 65 years; N = 124) and an older group (≥ 65 years; N = 131). Results We found 255 patients (male 61%) eligible for our study, with a median age of 65 (interquartile range, IQR 55–73) years, and mean body mass index (BMI) of 36 ± 6.9 kg/m2. Median CPAP use was 10 h/d (IQR 10–11). BMI and depressive symptoms (DEPS) in the younger group were higher than in the older group (37.9 ± 7 vs. 34.6 ± 6.4 kg/m2, p < 0.001 and 11 (IQR 5–20) vs. 7 (IQR 5–14), p = 0.01, respectively). During follow-up, the BMI of the younger group increased (39.9 ± 12.5 kg/m2 vs. 37.9 ± 7 kg/m2, p = 0.009). DEPS values decreased in the younger group and became comparable between the groups. In multivariate models, the baseline BMI independently predicted extensive CPAP use among the younger age group, and the mask leak among the older group. Conclusion BMI at baseline in the younger and mask leak in the older group could be independent predictive factors for extensive use of CPAP.

Funder

University of Turku

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3