Suppr超能文献

基于 Virtual-SAFARI 研究的心房颤动特异性改良 STOP-Bang 睡眠呼吸暂停筛查问卷:深入了解。

Atrial fibrillation-specific refinement of the STOP-Bang sleep apnoea screening questionnaire: insights from the Virtual-SAFARI study.

机构信息

Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands.

Department of Internal Medicine, Eifelklinik St. Brigida GmbH & Co. KG, Kammerbruchstraße 8, 52152, Simmerath, Germany.

出版信息

Clin Res Cardiol. 2023 Jun;112(6):834-845. doi: 10.1007/s00392-023-02157-9. Epub 2023 Feb 11.

Abstract

BACKGROUND

Sleep-disordered breathing (SDB) is prevalent in up to 50% of patients referred for atrial fibrillation (AF) catheter ablation (CA). Currently, it remains unclear how to improve pre-selection for SDB screening in patients with AF.

AIM

We aimed to (1) assess the accuracy of the STOP-Bang screening questionnaire for detection of SDB within an AF population referred for CA; (2) derive a refined, AF-specific SDB score to improve pre-selection.

METHODS

Consecutive AF patients referred for CA without a history of SDB and/or SDB screening were included. Patients were digitally referred to the previously implemented Virtual-SAFARI SDB screening and management pathway including a home sleep test. An apnoea-hypopnoea index (AHI) of  ≥ 15 was interpreted as moderate-to-severe SDB. Logistic regression analysis was used to assess characteristics associated with moderate-to-severe SDB to refine pre-selection for SDB screening.

RESULTS

Of 206 included patients, 51% were diagnosed with moderate-to-severe SDB. The STOP-Bang questionnaire performed poorly in detecting SDB, with an area under the receiver operating characteristic curve (AUROC) of 0.647 (95% Confidence-Interval (CI) 0.573-0.721). AF-specific refinement resulted in the BOSS-GAP score. Therein, BMI with cut-off point ≥ 27 kg/m and previous stroke or transient ischaemic attack (TIA) were added, while tiredness and neck circumference were removed. The BOSS-GAP score performed better with an AUROC of 0.738 (95% CI 0.672-0.805) in the overall population.

CONCLUSION

AF-specific refinement of the STOP-Bang questionnaire moderately improved detection of SDB in AF patients referred for CA. Whether questionnaires bring benefits for pre-selection of SDB compared to structural screening in patients with AF requires further studies.

TRIAL REGISTRATION NUMBER

ISOLATION was registered NCT04342312, 13-04-2020.

摘要

背景

睡眠呼吸障碍(SDB)在接受心房颤动(AF)导管消融(CA)治疗的患者中高达 50%。目前,尚不清楚如何改善 AF 患者中 SDB 筛查的预筛选。

目的

我们旨在(1)评估 STOP-Bang 筛查问卷在接受 CA 治疗的 AF 人群中检测 SDB 的准确性;(2)得出一种改良的、专门针对 AF 的 SDB 评分,以改善预筛选。

方法

连续纳入无 SDB 病史和/或 SDB 筛查史且接受 CA 治疗的 AF 患者。患者通过数字方式转至先前实施的 Virtual-SAFARI SDB 筛查和管理途径,包括家庭睡眠测试。AHI≥15 被解释为中重度 SDB。使用逻辑回归分析评估与中重度 SDB 相关的特征,以改进 SDB 筛查的预筛选。

结果

在 206 例纳入的患者中,51%被诊断为中重度 SDB。STOP-Bang 问卷在检测 SDB 方面表现不佳,其受试者工作特征曲线下面积(AUROC)为 0.647(95%置信区间 0.573-0.721)。AF 特异性细化得到 BOSS-GAP 评分。在此,BMI 切点≥27kg/m2和既往卒中或短暂性脑缺血发作(TIA)被添加,而疲倦和颈围被移除。在整个人群中,BOSS-GAP 评分的 AUROC 为 0.738(95%置信区间 0.672-0.805),表现更好。

结论

AF 患者中,对 STOP-Bang 问卷进行 AF 特异性细化可适度提高对 CA 治疗的 SDB 检测。与 AF 患者的结构性筛查相比,问卷是否能带来 SDB 预筛选的益处,还需要进一步的研究。

试验注册号

ISOLATION 于 2020 年 4 月 13 日在 NCT04342312 注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b10/10241725/191a6e3da21d/392_2023_2157_Fig1_HTML.jpg

相似文献

1
Atrial fibrillation-specific refinement of the STOP-Bang sleep apnoea screening questionnaire: insights from the Virtual-SAFARI study.
Clin Res Cardiol. 2023 Jun;112(6):834-845. doi: 10.1007/s00392-023-02157-9. Epub 2023 Feb 11.
3
The value of screening questionnaires/scoring scales for obstructive sleep apnoea in patients with atrial fibrillation.
Arch Cardiovasc Dis. 2021 Nov;114(11):737-747. doi: 10.1016/j.acvd.2021.08.002. Epub 2021 Sep 28.
5
Diagnostic accuracy of overnight oximetry for the diagnosis of sleep-disordered breathing in atrial fibrillation patients.
Int J Cardiol. 2018 Dec 1;272:155-161. doi: 10.1016/j.ijcard.2018.07.124. Epub 2018 Jul 25.
6
Predicting sleep disordered breathing in outpatients with suspected OSA.
BMJ Open. 2014 Apr 15;4(4):e004519. doi: 10.1136/bmjopen-2013-004519.
7
Validation of the NoSAS Score for the Screening of Sleep-Disordered Breathing in a Sleep Clinic.
Can Respir J. 2020 Jan 8;2020:4936423. doi: 10.1155/2020/4936423. eCollection 2020.
8
Prevalence of Undiagnosed Sleep Apnea in Patients With Atrial Fibrillation and its Impact on Therapy.
JACC Clin Electrophysiol. 2020 Nov;6(12):1499-1506. doi: 10.1016/j.jacep.2020.05.030. Epub 2020 Aug 12.
9
Self-Reported Daytime Sleepiness and Sleep-Disordered Breathing in Patients With Atrial Fibrillation: SNOozE-AF.
Can J Cardiol. 2019 Nov;35(11):1457-1464. doi: 10.1016/j.cjca.2019.07.627. Epub 2019 Aug 1.

引用本文的文献

3
Repurposing catheter ablation work-up to detect expiratory airflow limitation in patients with atrial fibrillation.
Int J Cardiol Heart Vasc. 2023 Nov 17;49:101305. doi: 10.1016/j.ijcha.2023.101305. eCollection 2023 Dec.

本文引用的文献

3
Self-Reported Mobile Health-Based Risk Factor and CHADS-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results.
Front Cardiovasc Med. 2022 Jan 19;8:757587. doi: 10.3389/fcvm.2021.757587. eCollection 2021.
6
The value of screening questionnaires/scoring scales for obstructive sleep apnoea in patients with atrial fibrillation.
Arch Cardiovasc Dis. 2021 Nov;114(11):737-747. doi: 10.1016/j.acvd.2021.08.002. Epub 2021 Sep 28.
7
Screening for Obstructive Sleep Apnea in an Atrial Fibrillation Population: What's the Best Test?
CJC Open. 2020 Dec 3;3(4):442-449. doi: 10.1016/j.cjco.2020.09.026. eCollection 2021 Apr.
10
Screening for obstructive sleep apnoea in patients with atrial fibrillation: Much more than a screening tool alone.
Int J Cardiol Heart Vasc. 2020 Oct 20;31:100655. doi: 10.1016/j.ijcha.2020.100655. eCollection 2020 Dec.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验