AP Model: A Simple Tool to Predict Poor Long-Term PAP Adherence in Obstructive Sleep Apnea

AP模型:一种预测阻塞性睡眠呼吸暂停患者长期PAP治疗依从性差的简易工具

阅读:1

Abstract

OBJECTIVE: To identify clinical and polysomnographic factors predicting poor long-term positive airway pressure (PAP) compliance in patients with obstructive sleep apnea (OSA) in a Southeast Asian population and to develop a simple risk model applicable in routine practice. STUDY DESIGN: Retrospective cohort study. SETTING: Songklanagarind Hospital, Thailand, from January 2012 to December 2022. METHODS: Adult OSA patients aged 18 to 65 years prescribed PAP therapy were included. Adherence was objectively recorded from device downloads. Good adherence was defined as ≥4 hours per night on ≥70% of nights at 12 months. Logistic regression identified predictors of poor long-term adherence. RESULTS: A total of 343 patients were enrolled; 253 had follow-up data at 12 months. Good adherence was observed in 47.8% of patients. In multivariate analysis, age < 50 years (odds ratio [OR] 1.92; 95% CI 1.01-3.67; P = .046) and poor short-term adherence (OR 4.47; 95% CI 2.33-8.72; P < .001) independently predicted poor long-term adherence. The resulting "AP" model (Age and Poor early adherence) achieved an area under the curve of 0.73 (95% CI 0.66-0.79), with a high specificity of 94%. CONCLUSION: Although predictors of PAP adherence have been described in Western populations, this study provides the first large data set from Thailand. The AP model, while simple, is pragmatic and easily applied in resource-limited settings. Prospective, multicenter validation across Southeast Asia is warranted to enhance its generalizability and incorporate modifiable predictors.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。