Seokhun Yang MD , Jae Wook Jung MD , Sang-Hyeon Park MD , Jinlong Zhang MD , Keehwan Lee MD , Doyeon Hwang MD , Kyu-Sun Lee MD , Sang-Hoon Na MD , Joon-Hyung Doh MD , Chang-Wook Nam MD , Tae Hyun Kim MD , Eun-Seok Shin MD , Eun Ju Chun MD , Su-Yeon Choi MD , Hyun Kuk Kim MD , Young Joon Hong MD , Hun-Jun Park MD , Song-Yi Kim MD , Mirza Husic MD , Jess Lambrechtsen MD , Bon-Kwon Koo MD
{"title":"斑块和血流动力学特征的预后时间框架及急性冠脉综合征的综合风险预测。","authors":"Seokhun Yang MD , Jae Wook Jung MD , Sang-Hyeon Park MD , Jinlong Zhang MD , Keehwan Lee MD , Doyeon Hwang MD , Kyu-Sun Lee MD , Sang-Hoon Na MD , Joon-Hyung Doh MD , Chang-Wook Nam MD , Tae Hyun Kim MD , Eun-Seok Shin MD , Eun Ju Chun MD , Su-Yeon Choi MD , Hyun Kuk Kim MD , Young Joon Hong MD , Hun-Jun Park MD , Song-Yi Kim MD , Mirza Husic MD , Jess Lambrechtsen MD , Bon-Kwon Koo MD","doi":"10.1016/j.jcmg.2025.02.003","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The relevant time frame for predicting future acute coronary syndrome (ACS) based on coronary lesion characteristics remains uncertain.</div></div><div><h3>Objectives</h3><div>The aim of this study was to investigate the association of lesion characteristics with test-to-event time and their prognostic impact on ACS.</div></div><div><h3>Methods</h3><div>The EMERALD II (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II) study analyzed 351 patients who underwent coronary computed tomography angiography (CTA) and experienced ACS between 1 month and 3 years of follow-up. Lesions identified on coronary CTA were classified as culprit (n = 363) or nonculprit (n = 2,088) on the basis of invasive coronary angiography findings at the time of ACS. Core laboratory coronary CTA analyses assessed 4 domains: degree of stenosis, plaque burden, number of adverse plaque characteristics (APC) (low-attenuation plaque, positive remodeling, spotty calcification, and napkin-ring sign), and changes in coronary CTA–derived fractional flow reserve across the lesion (ΔFFR<sub>CT</sub>). Patients were categorized into short (<1 year), mid (1-2 years), and long (2-3 years) test-to-event time groups.</div></div><div><h3>Results</h3><div>Patient characteristics, including cardiovascular risk factors, did not differ across short, mid, and long test-to-event groups (<em>P ></em> 0.05 for all), and the proportion of ACS culprit lesions was similar (<em>P =</em> 0.552). Among culprit lesions, shorter test-to-event time was associated with higher luminal stenosis, plaque burden, and ΔFFR<sub>CT</sub> (<em>P</em> for trend < 0.001 for all). The predictability for ACS culprit lesions based on the combined 4 characteristics tended to decrease over time and significantly reduced beyond 2 years (AUC: 0.851 vs 0.741; <em>P =</em> 0.006). In predicting ACS risk within test-to-event time <2 years using obstructive lesions (stenosis ≥ 50%), APC ≥2, plaque burden ≥70%, and ΔFFR<sub>CT</sub> ≥0.10, the risk was elevated compared to the average proportion of lesions becoming ACS culprit (12.1%) in the following subsets: lesions with 4 characteristics (proportion of lesions becoming ACS culprit: 49.3%; <em>P <</em> 0.001), lesions with 3 characteristics (obstructive lesions with plaque burden ≥70% and either ΔFFR<sub>CT</sub> ≥0.10 [proportion of lesions becoming ACS culprit: 33.0%; <em>P <</em> 0.001] or APC ≥2 [proportion of lesions becoming ACS culprit: 31.2%; <em>P <</em> 0.001]), and lesions with 2 characteristics (plaque burden ≥70% and ΔFFR<sub>CT</sub> ≥0.10; proportion of lesions becoming ACS culprit: 21.5%; <em>P =</em> 0.016).</div></div><div><h3>Conclusions</h3><div>Increased luminal stenosis, plaque burden, and ΔFFR<sub>CT</sub> were associated with shorter test-to-ACS event time. The prognostic impact of lumen, plaque, and local hemodynamic characteristics was most relevant to ACS risk within a 2-year period, with higher risk observed when specific combinations of them were present. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II [EMERALD II] Study; <span><span>NCT03591328</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 7","pages":"Pages 784-795"},"PeriodicalIF":12.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome\",\"authors\":\"Seokhun Yang MD , Jae Wook Jung MD , Sang-Hyeon Park MD , Jinlong Zhang MD , Keehwan Lee MD , Doyeon Hwang MD , Kyu-Sun Lee MD , Sang-Hoon Na MD , Joon-Hyung Doh MD , Chang-Wook Nam MD , Tae Hyun Kim MD , Eun-Seok Shin MD , Eun Ju Chun MD , Su-Yeon Choi MD , Hyun Kuk Kim MD , Young Joon Hong MD , Hun-Jun Park MD , Song-Yi Kim MD , Mirza Husic MD , Jess Lambrechtsen MD , Bon-Kwon Koo MD\",\"doi\":\"10.1016/j.jcmg.2025.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The relevant time frame for predicting future acute coronary syndrome (ACS) based on coronary lesion characteristics remains uncertain.</div></div><div><h3>Objectives</h3><div>The aim of this study was to investigate the association of lesion characteristics with test-to-event time and their prognostic impact on ACS.</div></div><div><h3>Methods</h3><div>The EMERALD II (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II) study analyzed 351 patients who underwent coronary computed tomography angiography (CTA) and experienced ACS between 1 month and 3 years of follow-up. Lesions identified on coronary CTA were classified as culprit (n = 363) or nonculprit (n = 2,088) on the basis of invasive coronary angiography findings at the time of ACS. Core laboratory coronary CTA analyses assessed 4 domains: degree of stenosis, plaque burden, number of adverse plaque characteristics (APC) (low-attenuation plaque, positive remodeling, spotty calcification, and napkin-ring sign), and changes in coronary CTA–derived fractional flow reserve across the lesion (ΔFFR<sub>CT</sub>). Patients were categorized into short (<1 year), mid (1-2 years), and long (2-3 years) test-to-event time groups.</div></div><div><h3>Results</h3><div>Patient characteristics, including cardiovascular risk factors, did not differ across short, mid, and long test-to-event groups (<em>P ></em> 0.05 for all), and the proportion of ACS culprit lesions was similar (<em>P =</em> 0.552). Among culprit lesions, shorter test-to-event time was associated with higher luminal stenosis, plaque burden, and ΔFFR<sub>CT</sub> (<em>P</em> for trend < 0.001 for all). The predictability for ACS culprit lesions based on the combined 4 characteristics tended to decrease over time and significantly reduced beyond 2 years (AUC: 0.851 vs 0.741; <em>P =</em> 0.006). In predicting ACS risk within test-to-event time <2 years using obstructive lesions (stenosis ≥ 50%), APC ≥2, plaque burden ≥70%, and ΔFFR<sub>CT</sub> ≥0.10, the risk was elevated compared to the average proportion of lesions becoming ACS culprit (12.1%) in the following subsets: lesions with 4 characteristics (proportion of lesions becoming ACS culprit: 49.3%; <em>P <</em> 0.001), lesions with 3 characteristics (obstructive lesions with plaque burden ≥70% and either ΔFFR<sub>CT</sub> ≥0.10 [proportion of lesions becoming ACS culprit: 33.0%; <em>P <</em> 0.001] or APC ≥2 [proportion of lesions becoming ACS culprit: 31.2%; <em>P <</em> 0.001]), and lesions with 2 characteristics (plaque burden ≥70% and ΔFFR<sub>CT</sub> ≥0.10; proportion of lesions becoming ACS culprit: 21.5%; <em>P =</em> 0.016).</div></div><div><h3>Conclusions</h3><div>Increased luminal stenosis, plaque burden, and ΔFFR<sub>CT</sub> were associated with shorter test-to-ACS event time. The prognostic impact of lumen, plaque, and local hemodynamic characteristics was most relevant to ACS risk within a 2-year period, with higher risk observed when specific combinations of them were present. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II [EMERALD II] Study; <span><span>NCT03591328</span><svg><path></path></svg></span>)</div></div>\",\"PeriodicalId\":14767,\"journal\":{\"name\":\"JACC. Cardiovascular imaging\",\"volume\":\"18 7\",\"pages\":\"Pages 784-795\"},\"PeriodicalIF\":12.8000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JACC. 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Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome
Background
The relevant time frame for predicting future acute coronary syndrome (ACS) based on coronary lesion characteristics remains uncertain.
Objectives
The aim of this study was to investigate the association of lesion characteristics with test-to-event time and their prognostic impact on ACS.
Methods
The EMERALD II (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II) study analyzed 351 patients who underwent coronary computed tomography angiography (CTA) and experienced ACS between 1 month and 3 years of follow-up. Lesions identified on coronary CTA were classified as culprit (n = 363) or nonculprit (n = 2,088) on the basis of invasive coronary angiography findings at the time of ACS. Core laboratory coronary CTA analyses assessed 4 domains: degree of stenosis, plaque burden, number of adverse plaque characteristics (APC) (low-attenuation plaque, positive remodeling, spotty calcification, and napkin-ring sign), and changes in coronary CTA–derived fractional flow reserve across the lesion (ΔFFRCT). Patients were categorized into short (<1 year), mid (1-2 years), and long (2-3 years) test-to-event time groups.
Results
Patient characteristics, including cardiovascular risk factors, did not differ across short, mid, and long test-to-event groups (P > 0.05 for all), and the proportion of ACS culprit lesions was similar (P = 0.552). Among culprit lesions, shorter test-to-event time was associated with higher luminal stenosis, plaque burden, and ΔFFRCT (P for trend < 0.001 for all). The predictability for ACS culprit lesions based on the combined 4 characteristics tended to decrease over time and significantly reduced beyond 2 years (AUC: 0.851 vs 0.741; P = 0.006). In predicting ACS risk within test-to-event time <2 years using obstructive lesions (stenosis ≥ 50%), APC ≥2, plaque burden ≥70%, and ΔFFRCT ≥0.10, the risk was elevated compared to the average proportion of lesions becoming ACS culprit (12.1%) in the following subsets: lesions with 4 characteristics (proportion of lesions becoming ACS culprit: 49.3%; P < 0.001), lesions with 3 characteristics (obstructive lesions with plaque burden ≥70% and either ΔFFRCT ≥0.10 [proportion of lesions becoming ACS culprit: 33.0%; P < 0.001] or APC ≥2 [proportion of lesions becoming ACS culprit: 31.2%; P < 0.001]), and lesions with 2 characteristics (plaque burden ≥70% and ΔFFRCT ≥0.10; proportion of lesions becoming ACS culprit: 21.5%; P = 0.016).
Conclusions
Increased luminal stenosis, plaque burden, and ΔFFRCT were associated with shorter test-to-ACS event time. The prognostic impact of lumen, plaque, and local hemodynamic characteristics was most relevant to ACS risk within a 2-year period, with higher risk observed when specific combinations of them were present. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary CT Angiography and Computational Fluid Dynamics II [EMERALD II] Study; NCT03591328)
期刊介绍:
JACC: Cardiovascular Imaging, part of the prestigious Journal of the American College of Cardiology (JACC) family, offers readers a comprehensive perspective on all aspects of cardiovascular imaging. This specialist journal covers original clinical research on both non-invasive and invasive imaging techniques, including echocardiography, CT, CMR, nuclear, optical imaging, and cine-angiography.
JACC. Cardiovascular imaging highlights advances in basic science and molecular imaging that are expected to significantly impact clinical practice in the next decade. This influence encompasses improvements in diagnostic performance, enhanced understanding of the pathogenetic basis of diseases, and advancements in therapy.
In addition to cutting-edge research,the content of JACC: Cardiovascular Imaging emphasizes practical aspects for the practicing cardiologist, including advocacy and practice management.The journal also features state-of-the-art reviews, ensuring a well-rounded and insightful resource for professionals in the field of cardiovascular imaging.