Wyckmans Martin, Tukanov Eldar, Winters Robbe, Stinissen Robin, Vermeulen Helene, Dendale Paul, Desteghe Lien
Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Interuniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium.
Pacing Clin Electrophysiol. 2021 Aug;44(8):1421-1431. doi: 10.1111/pace.14256. Epub 2021 May 22.
Obstructive sleep apnea is often underdiagnosed in atrial fibrillation (AF) patients although it is an important risk factor. A systematic review and meta-analysis was performed to assess which techniques cardiac implantable electronic devices (CIED) and Holter monitors use to screen for sleep apnea (SA), and to evaluate if these are suitable for AF patients from a diagnostic accuracy perspective.
The search was conducted in accordance with the PRISMA-guidelines. PICO was defined as (P) patients with AF, (I) Holter monitors or CIED suitable for screening for SA, (C) overnight polysomnography (PSG), (O) positive screening with subsequent positive polysomnographic diagnosis of SA. Optimal index test cut-off points corresponding to reference test cut-off for severe SA (PSG-AHI ≥ 30) were compared. Meta-analysis was conducted for the diagnostic odds ratio (DOR), with forest plot and ROC-curve for summary DOR.
A total of five prospective cohort studies (n = 192) were included in the systematic review of which four studies (n = 132) were included in the meta-analysis. All included studies use transthoracic impedance measurement as a screening parameter. No studies evaluating Holter monitors were included. The population consisted of patients indicated for pacemaker implantation. The summary DOR was 27.14 (8.83; 83.37), AUC was 0.8689 (0.6872; 0.9456) and Q* was 0.8390 (0.7482; 0.9013).
At optimal pacemaker-cut-off, pacemaker-guided screening for severe SA in patients with AF can be an effective triage tool for clinical practice. Further studies with larger sample sizes are needed to strengthen the evidence for this conclusion.
阻塞性睡眠呼吸暂停虽是心房颤动(AF)患者的一项重要风险因素,但常未得到充分诊断。本研究进行了一项系统评价和荟萃分析,以评估心脏植入式电子设备(CIED)和动态心电图监测仪用于筛查睡眠呼吸暂停(SA)的技术,并从诊断准确性角度评估这些技术是否适用于AF患者。
检索遵循PRISMA指南进行。PICO定义为(P)AF患者,(I)适用于SA筛查的动态心电图监测仪或CIED,(C)夜间多导睡眠图(PSG),(O)筛查阳性且随后PSG诊断SA阳性。比较了与严重SA(PSG-AHI≥30)的参考测试截断值相对应的最佳指标测试截断点。对诊断比值比(DOR)进行荟萃分析,并绘制森林图和汇总DOR的ROC曲线。
系统评价共纳入5项前瞻性队列研究( n = 192),其中4项研究( n = 132)纳入荟萃分析。所有纳入研究均使用经胸阻抗测量作为筛查参数。未纳入评估动态心电图监测仪的研究。研究人群为有起搏器植入指征的患者。汇总DOR为27.14(8.83;83.37),AUC为0.8689(0.6872;0.9456),Q*为0.8390(0.7482;0.9013)。
在最佳起搏器截断值时,起搏器引导下对AF患者进行严重SA筛查可成为临床实践中一种有效的分诊工具。需要进一步开展更大样本量的研究以强化该结论的证据。