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非药物手段增强阻塞性睡眠呼吸暂停疗法:一项网络荟萃分析。

Boosting obstructive sleep apnea therapy by non-pharmacological approaches: A network meta-analysis.

机构信息

Vita-Salute San Raffaele University Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy.

Vita-Salute San Raffaele University Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy.

出版信息

Sleep Med. 2024 Mar;115:235-245. doi: 10.1016/j.sleep.2024.01.029. Epub 2024 Feb 11.

Abstract

INTRODUCTION

Obstructive sleep apnea (OSA) is the most common breathing-related sleep disorder with a considerable economic burden, low diagnosis and treatment rates. Continuous positive airway pressure (CPAP/PAP) is the principal therapy for OSA treatment; nevertheless, effectiveness is often limited by suboptimal adherence. The present network meta-analysis aims to systematically summarize and quantify different interventions' effects on CPAP/PAP adherence (such as mean usage CPAP or PAP in hours per night) in OSA patients, comparing Behavioral, Educational, Supportive and Mixed interventions in Randomized Control Trials (RCT).

METHODS

We conducted a computer-based search using the electronic databases of Pubmed, Psycinfo, Scopus, Embase, Chinal and Medline until August 2022, selecting 50 RCT.

RESULTS

By means of a random effect model network meta-analysis, results suggested that the most effective treatment in improving CPAP/PAP adherence was the Supportive approach followed by Behavioral Therapy focused on OSA treatment adherence.

CONCLUSION

This network meta-analysis might encourage the most experienced clinicians and researchers in the field to collaborate and implement treatments for improving CPAP/PAP treatment adherence. Moreover, these results support the importance of multidisciplinary approaches for OSA treatment, which should be framed within a biopsychological model.

摘要

简介

阻塞性睡眠呼吸暂停(OSA)是最常见的与呼吸相关的睡眠障碍,具有相当大的经济负担,诊断和治疗率低。持续气道正压通气(CPAP/PAP)是治疗 OSA 的主要方法;然而,其有效性常常受到不适当的依从性的限制。本网络荟萃分析旨在系统地总结和量化不同干预措施对 OSA 患者 CPAP/PAP 依从性(如每晚使用 CPAP 或 PAP 的平均小时数)的影响,比较随机对照试验(RCT)中的行为、教育、支持和混合干预措施。

方法

我们使用电子数据库(Pubmed、Psycinfo、Scopus、Embase、Chinal 和 Medline)进行了基于计算机的搜索,直到 2022 年 8 月,共选择了 50 项 RCT。

结果

通过随机效应模型网络荟萃分析,结果表明,改善 CPAP/PAP 依从性最有效的治疗方法是支持性方法,其次是针对 OSA 治疗依从性的行为疗法。

结论

本网络荟萃分析可能会鼓励该领域最有经验的临床医生和研究人员合作,实施改善 CPAP/PAP 治疗依从性的治疗方法。此外,这些结果支持了多学科方法治疗 OSA 的重要性,应该将其纳入生物心理模型。

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