Cardiovascular Research Foundation, New York, New York.
McGovern Medical School at UT Health and Memorial Hermann Hospital, Houston, Texas.
JACC Cardiovasc Interv. 2017 Jul 24;10(14):1392-1401. doi: 10.1016/j.jcin.2017.03.031.
The aim of this study was to compare site-reported measurements of fractional flow reserve (FFR) with FFR analysis by an independent core laboratory (CL).
FFR is an index of coronary stenosis severity that has been validated in multiple trials and is widely used in clinical practice. However, the incidence of suboptimal FFR measurements is unknown.
Patients undergoing FFR assessment within the CONTRAST (Can Contrast Injection Better Approximate FFR Compared to Pure Resting Physiology) study had paired, repeated measurements of multiple physiological metrics per local practice. An independent central physiology CL analyzed blinded pressure tracings off-line in a standardized fashion for comparison.
A total of 763 patients were included in the study; 4,946 distal coronary artery pressure/aortic pressure (nonhyperemic) and FFR tracings were analyzed by the CL (mean 6.5 tracings per patient). Pull-back data were available for 616 patients (80.7%), of whom 108 (17.5%) had signal drift, defined as distal coronary artery pressure/aortic pressure (nonhyperemic) <0.97 or >1.03. Among the remaining 4,217 tracings without evidence of signal drift, 222 (5.3%) were noted to have ventricularization of the aortic waveform, and 168 (4.0%) had aortic waveform distortion. Excluding cases with signal drift and waveform distortion, there was excellent agreement between CL-calculated and site-reported FFR, with a mean difference of 0.003 ± 0.02. Predictors of distorted waveforms were smaller guiding catheter size (odds ratio: 6.30; 95% confidence interval: 3.22 to 12.32; p < 0.001) and intracoronary adenosine use (odds ratio: 0.13; 95% confidence interval: 0.05 to 0.33; p < 0.001).
This FFR CL analysis showed that almost 10% of tracings demonstrated waveform artifacts, and an additional 17.5% had signal drift. Among adequate tracings, there was a close correlation between site-reported and CL-analyzed FFR values. Attention to detail is critical for FFR studies to ensure adequate technique and optimal results.
本研究旨在比较由独立核心实验室(CL)进行的与由临床医生报告的分数血流储备(FFR)测量值。
FFR 是冠状动脉狭窄严重程度的指标,已在多项试验中得到验证,并在临床实践中广泛使用。然而,亚最佳 FFR 测量值的发生率尚不清楚。
在 CONTRAST(对比剂注射是否能比单纯静息生理更好地近似 FFR)研究中,接受 FFR 评估的患者根据当地实践,对多个生理指标进行了重复、配对的测量。CL 以标准化的方式对离线的压力轨迹进行了盲法分析,以进行比较。
共有 763 名患者纳入本研究,CL 分析了 4946 个远端冠状动脉压力/主动脉压力(非充血性)和 FFR 轨迹(每个患者平均 6.5 个轨迹)。616 名患者(80.7%)有回拉数据,其中 108 名(17.5%)存在信号漂移,定义为远端冠状动脉压力/主动脉压力(非充血性)<0.97 或>1.03。在没有信号漂移证据的剩余 4217 个轨迹中,222 个(5.3%)存在主动脉波形心室化,168 个(4.0%)存在主动脉波形扭曲。排除信号漂移和波形失真的病例后,CL 计算的和临床医生报告的 FFR 之间具有极好的一致性,平均差异为 0.003±0.02。扭曲波形的预测因素是更小的引导导管尺寸(比值比:6.30;95%置信区间:3.22 至 12.32;p<0.001)和冠状动脉内腺苷使用(比值比:0.13;95%置信区间:0.05 至 0.33;p<0.001)。
本项 FFR CL 分析显示,近 10%的轨迹显示存在波形伪影,另有 17.5%存在信号漂移。在足够的轨迹中,临床医生报告的和 CL 分析的 FFR 值之间存在密切相关性。对于 FFR 研究,关注细节对于确保获得足够的技术和优化结果至关重要。