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.
Clin Res Cardiol. 2023 Jun;112(6):834-845. doi: 10.1007/s00392-023-02157-9. Epub 2023 Feb 11.
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.
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.
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.
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.
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.
ISOLATION was registered NCT04342312, 13-04-2020.
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。
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。
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。
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。
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。
ISOLATION 于 2020 年 4 月 13 日在 NCT04342312 注册。