Wang Lan-Lin, Xu Jian-Ping, He Yang, Wang Heng, Zhao Guo-Zhong, Wu Kai, He Yong-Ming
Division of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Division of Cardiology, Sichuan Science City Hospital, Chengdu, China.
Quant Imaging Med Surg. 2024 Apr 3;14(4):2857-2869. doi: 10.21037/qims-23-1635. Epub 2024 Mar 15.
Pressure wire fractional flow reserve (FFR) and its derivatives, such as quantitative flow ratio (QFR), computational pressure flow-derived FFR (caFFR), coronary angiography-derived FFR (FFR), and computed tomography-derived FFR (FFR), have been validated for identifying functionally significant stenosis and guiding revascularization strategy. The limitations of using these methods include the side effects of hyperemia-induced agents, additional costs, and vulnerability to microvascular resistance. FFR is related both to the degree of a stenotic coronary artery and to its subtended myocardial territory. Coronary Artery Tree Description and Lesion Evaluation (CatLet) score (also known as ) is a product of the degree of a stenosis and the weighting of the affected coronary artery (myocardial territory). Hence, we hypothesized that the CatLet score could predict hemodynamically significant coronary stenosis.
We retrospectively enrolled consecutive patients with stable coronary artery disease. They attended Sichuan Science City Hospital with at least one lesion of 50-90% diameter stenosis in a coronary artery of 2 mm or larger. FFR measurement was obtained during invasive coronary angiography. The CatLet score was obtained by multiplying a fixed value of 2.0 (for non-occlusive lesions) and the weight of the affected coronary artery. The primary endpoint was the CatLet score's diagnostic accuracy in identifying hemodynamically significant coronary stenosis, with a pressure wire FFR of ≤0.80 being used as reference.
We analyzed the FFR and CatLet scores from 206 vessels in 175 patients with stable coronary disease and intermediate coronary lesions. The per-vessel analysis revealed an overall good correlation between the CatLet score and the FFR [r=-0.61; 95% confidence interval (95% CI): -0.69 to -0.52; P<0.01]. We also noted a significant CatLet score-FFR correlation for each of the left anterior descending artery (LAD), left circumflex (LCX), and right coronary artery (RCA). With a CatLet score ≥10 as a predictor of FFR ≤0.80, the overall diagnostic accuracy included a sensitivity of 78.80% (95% CI: 67.00-87.90%), a specificity of 85.00% (95% CI: 78.00-90.50%), a positive likelihood ratio of 5.25, a negative likelihood ratio of 0.25, and an area under the curve of 0.90 (95% CI: 0.85-0.94). Equivalent vessel-specific results were also achieved for each of the LAD, LCX, and RCA.
The CatLet score, solely based on visual estimation of the results of coronary angiography, demonstrated good diagnostic performance with respect to myocardial ischemia. Its clinical values in guiding revascularization warrant further investigation.
压力导丝血流储备分数(FFR)及其衍生指标,如定量血流比(QFR)、计算压力血流衍生的FFR(caFFR)、冠状动脉造影衍生的FFR(FFR)和计算机断层扫描衍生的FFR(FFR),已被证实可用于识别功能上有意义的狭窄并指导血运重建策略。使用这些方法的局限性包括充血诱导剂的副作用、额外费用以及对微血管阻力的敏感性。FFR既与狭窄冠状动脉的程度有关,也与其所供应的心肌区域有关。冠状动脉树描述和病变评估(CatLet)评分(也称为 )是狭窄程度与受影响冠状动脉(心肌区域)权重的乘积。因此,我们假设CatLet评分可以预测血流动力学上有意义的冠状动脉狭窄。
我们回顾性纳入了连续的稳定型冠心病患者。他们因至少一处直径狭窄50%-90%的病变就诊于四川科学城医院,病变位于直径2毫米或更大的冠状动脉。在有创冠状动脉造影期间进行FFR测量。CatLet评分通过将固定值2.0(用于非闭塞性病变)与受影响冠状动脉的权重相乘获得。主要终点是CatLet评分在识别血流动力学上有意义的冠状动脉狭窄方面的诊断准确性,以压力导丝FFR≤0.80作为参考。
我们分析了175例患有稳定型冠心病和中度冠状动脉病变患者的206支血管的FFR和CatLet评分。每支血管的分析显示CatLet评分与FFR之间总体具有良好的相关性[r=-0.61;95%置信区间(95%CI):-0.69至-0.52;P<0.01]。我们还注意到左前降支(LAD)、左旋支(LCX)和右冠状动脉(RCA)各自的CatLet评分与FFR之间存在显著相关性。以CatLet评分≥10作为FFR≤0.80的预测指标,总体诊断准确性包括敏感性为78.80%(95%CI:67.00-87.90%),特异性为85.00%(95%CI:78.00-90.50%),阳性似然比为5.25,阴性似然比为0.25,曲线下面积为0.90(95%CI:0.85-0.94)。LAD、LCX和RCA各自也获得了等效的血管特异性结果。
仅基于冠状动脉造影结果的视觉估计得出的CatLet评分,在心肌缺血方面显示出良好的诊断性能。其在指导血运重建方面的临床价值值得进一步研究。