Hussain Shazia T, Morton Geraint, De Silva Kalpa, Jogiya Roy, Schuster Andreas, Paul Matthias, Perera Divaka, Nagel Eike
Cardiology Department, Papworth Hospital NHS trust, Papworth Everard, Cambridgeshire, UK.
Portsmouth Hospitals NHS Trust, Portsmouth, UK.
Clin Res Cardiol. 2017 Apr;106(4):259-270. doi: 10.1007/s00392-016-1047-0. Epub 2016 Oct 20.
This study assesses the relationship between classical anatomical jeopardy scores, functional jeopardy scores (combined anatomical and haemodynamic data), and the extent of ischaemia identified on cardiovascular magnetic resonance (CMR) perfusion imaging.
In 42 patients with stable angina and suspected coronary artery disease (CAD), CMR perfusion imaging was performed. Fractional Flow Reserve (FFR) was measured in vessels with ≥50 % stenosis. The APPROACH and BCIS jeopardy scores were calculated based on QCA results with both a 70 % (APP and BCIS) and a 50 % stenosis (APP, and BCIS) used as the threshold for significance, as well as after integration of FFR and compared with the extent of ischaemia identified on CMR. The correlation between the extent of ischaemia measured by CMR and the anatomical jeopardy scores was moderate (APPROACH: r = 0.58; BCIS: r = 0.48, p = 0.001). Integrating physiological information improved this significantly to r = 0.82, p = 0.0001 for APPROACH and r = 0.82, p = 0.0001 for BCIS scores (z-statistic = -2.04, p = 0.04; z-statistic = -2.63, p = 0.009). In relation to CMR, the APPROACH and BCIS scores overestimated the volume of ischaemic myocardium by 29.2 and 25.2 %, respectively, which was reduced to 12.8 and 12 % after integrating functional data.
Anatomical and functional jeopardy scores overestimate ischaemic burden when compared to CMR. Integrating physiological information from FFR to generate a functional score improves ischaemic burden estimation.
本研究评估经典解剖风险评分、功能风险评分(结合解剖和血流动力学数据)与心血管磁共振(CMR)灌注成像所确定的缺血范围之间的关系。
对42例稳定型心绞痛且疑似冠心病(CAD)的患者进行CMR灌注成像检查。在狭窄≥50%的血管中测量血流储备分数(FFR)。基于定量冠状动脉造影(QCA)结果计算APPROACH和BCIS风险评分,分别采用70%(APP和BCIS)和50%狭窄(APP和BCIS)作为显著性阈值,并在整合FFR后与CMR所确定的缺血范围进行比较。CMR测量的缺血范围与解剖风险评分之间的相关性为中等(APPROACH:r = 0.58;BCIS:r = 0.48,p = 0.001)。整合生理信息后,APPROACH评分的相关性显著提高至r = 0.82,p = 0.0001,BCIS评分的相关性为r = 0.82,p = 0.0001(z统计量 = -2.04,p = 0.04;z统计量 = -2.63,p = 0.009)。与CMR相关,APPROACH和BCIS评分分别高估缺血心肌体积29.2%和25.2%,整合功能数据后分别降至12.8%和12%。
与CMR相比,解剖和功能风险评分高估了缺血负担。整合来自FFR的生理信息以生成功能评分可改善缺血负担的估计。