Development of a Novel Score to Predict Urgent Mechanical Circulatory Support in Chronic Total Occlusion Percutaneous Coronary Intervention

J. Karacsonyi, B. Okeson, K. Alaswad, F. Jaffer, Paul Poomipanit, Jaikirshan J Khatri, M. Patel, Robert F. Riley, A. Sheikh, Jason Wollmuth, R. Yeh, R. Chandwaney, A. ElGuindy, K. Tammam, N. A. Rafeh, D. Schimmel, M. N. Burke, Spyridon Kostantinis, Bahadir Simsek, Karen E. Deffenbacher, K. Benzuly, J. Flaherty, B. Rangan, I. Ungi, E. Brilakis
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Abstract

Background: Estimating the likelihood of urgent mechanical circulatory support (MCS) can facilitate procedural planning and clinical decision making in chronic total occlusion (CTO) percutaneous coronary intervention (PCI). Methods: We analyzed 2,784 CTO PCIs performed between 2012 and 2021 at 12 centers. The variable importance was estimated by a bootstrap applying a random forest algorithm to a propensity-matched sample (a ratio of 1:5 matching cases with controls on center). The identified variables were used to predict the risk of urgent MCS. The performance of the risk model was assessed in-sample as well as on 2411 out-of-sample procedures who did not require urgent MCS. Results: Urgent MCS was used in 62 (2.2%) of cases. Patients who required urgent MCS were older (70 [63, 77] vs. 66 [58, 73] years, p=0.003) compared with those who did not require urgent MCS. Technical (68% vs. 87%, p<0.001) and procedural successes (40% vs. 85%, p<0.001) were lower in the urgent MCS group compared with no urgent MCS cases. The risk model for urgent MCS use included retrograde crossing strategy, left ventricular ejection fraction, and lesion length. The resulting model demonstrated good calibration and discriminatory capacity with AUC (95%CI) of 0.79 (0.73, 0.86) and specificity and sensitivity of 86% and 52%, respectively. On the out-of-sample set, the specificity of the model was 87%. Conclusion: The PROGRESS CTO MCS score can help estimate the risk of urgent MCS use during CTO PCI.
一种预测慢性全闭塞经皮冠状动脉介入治疗中紧急机械循环支持的新评分方法的发展
背景:评估紧急机械循环支持(MCS)的可能性有助于慢性全闭塞(CTO)经皮冠状动脉介入治疗(PCI)的手术计划和临床决策。方法:我们分析了2012年至2021年间在12个中心进行的2,784例CTO pci。变量重要性通过对倾向匹配样本应用随机森林算法的自举估计(1比5的匹配案例与中心控制)。将识别的变量用于预测紧急MCS的风险。风险模型的性能被评估样本内以及2411个不需要紧急MCS的样本外程序。结果:急诊MCS 62例(2.2%)。与不需要紧急MCS的患者相比,需要紧急MCS的患者年龄更大(70[63,77]对66 [58,73],p=0.003)。紧急MCS组的技术成功率(68%对87%,p<0.001)和手术成功率(40%对85%,p<0.001)低于无紧急MCS组。紧急使用MCS的风险模型包括逆行穿越策略、左室射血分数和病变长度。该模型具有良好的校准和鉴别能力,AUC (95%CI)为0.79(0.73,0.86),特异性和敏感性分别为86%和52%。在样本外集上,模型的特异性为87%。结论:进展CTO MCS评分有助于评估CTO PCI中紧急使用MCS的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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