Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy.
Department of Medical & Surgical Sciences, University of Foggia, viale Pinto 1, 71122 Foggia, Italy.
Arch Cardiovasc Dis. 2018 Feb;111(2):95-100. doi: 10.1016/j.acvd.2017.04.006. Epub 2017 Sep 27.
The role of heart rate variability (HRV) in the prediction of vasovagal syncope during head-up tilt testing (HUTt) is unclear.
To evaluate the ability of the spectral components of HRV at rest to predict vasovagal syncope among patients with unexplained syncope referred for HUTt.
Twenty-six consecutive patients with unexplained syncope were enrolled in the study. All patients underwent HRV evaluation at rest (very low frequency [VLF], low frequency [LF], high frequency [HF] and LF/HF ratio) and during HUTt. HUTt was performed using the Westminster protocol. Continuous electrocardiogram and blood pressure monitoring were performed throughout the test.
Eight (31%) patients developed syncope during HUTt. There were no baseline differences in terms of clinical features and HRV variables among patients who developed syncope and those who did not, except for VLF (2421 vs 896ms; P<0.001). In the multivariable logistic regression analysis, including age and sex, VLF was the only independent variable associated with syncope during HUTt (odds ratio 1.002, 95% confidence interval 1.0003-1.0032; P=0.02). The area under the curve at rest was 0.889 for VLF, 0.674 for HF and 0.611 for LF. A value of VLF>2048ms was the optimal cut-off to predict syncope during HUTt (sensitivity 87.5%, specificity 72.2%).
VLF at rest predicted the incidence of syncope during HUTt. Further studies are warranted to confirm these preliminary data.
心率变异性(HRV)在预测头高位倾斜试验(HUTt)中血管迷走性晕厥中的作用尚不清楚。
评估静息时 HRV 频谱成分预测不明原因晕厥患者行 HUTt 时血管迷走性晕厥的能力。
连续纳入 26 例不明原因晕厥患者进行研究。所有患者均在静息时(极低频 [VLF]、低频 [LF]、高频 [HF] 和 LF/HF 比值)和 HUTt 期间进行 HRV 评估。HUTt 使用威斯敏斯特方案进行。整个测试过程中进行连续心电图和血压监测。
8 例(31%)患者在 HUTt 中发生晕厥。在发生晕厥和未发生晕厥的患者中,除 VLF(2421 与 896ms;P<0.001)外,临床特征和 HRV 变量无基线差异。在多变量逻辑回归分析中,包括年龄和性别,VLF 是唯一与 HUTt 期间晕厥相关的独立变量(比值比 1.002,95%置信区间 1.0003-1.0032;P=0.02)。VLF 在静息时的曲线下面积为 0.889,HF 为 0.674,LF 为 0.611。VLF>2048ms 是预测 HUTt 期间晕厥的最佳截断值(敏感性 87.5%,特异性 72.2%)。
静息时 VLF 可预测 HUTt 期间晕厥的发生率。需要进一步研究来证实这些初步数据。