{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T11:50:36Z","timestamp":1789213836108,"version":"build-2803163510"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"1153","license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Jiangsu Medical Association","award":["SYH-3201150-0016"],"award-info":[{"award-number":["SYH-3201150-0016"]}]},{"name":"Jiangsu Medical Association","award":["2021011"],"award-info":[{"award-number":["2021011"]}]},{"DOI":"10.13039\/100018916","name":"Suzhou Municipal Health Commission","doi-asserted-by":"publisher","award":["GSWS2020003"],"award-info":[{"award-number":["GSWS2020003"]}],"id":[{"id":"10.13039\/100018916","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018916","name":"Suzhou Municipal Health Commission","doi-asserted-by":"publisher","award":["KJXW2020007"],"award-info":[{"award-number":["KJXW2020007"]}],"id":[{"id":"10.13039\/100018916","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>To determine whether lesion-specific pericoronary adipose tissue CT attenuation (PCATa) is superior to PCATa around the proximal right coronary artery (PCATa-RCA) and left anterior descending artery (PCATa-LAD) for major adverse cardiovascular events (MACE) prediction in coronary artery disease (CAD).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Six hundred and eight CAD patients who underwent coronary CTA from January 2014 to December 2018 were retrospectively included, with clinical risk factors, plaque features, lesion-specific PCATa, PCATa-RCA, and PCATa-LAD collected. MACE was defined as cardiovascular death, non-fatal myocardial infarction, unplanned revascularization, and hospitalization for unstable angina. Four models were established, encapsulating traditional factors (Model A), traditional factors and PCATa-RCA (Model B), traditional factors and PCATa-LAD (Model C), and traditional factors and lesion-specific PCATa (Model D). Prognostic performance was evaluated with C-statistic, area under receiver operator characteristic curve (AUC), and net reclassification index (NRI).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Lesion-specific PCATa was an independent predictor for MACE (adjusted hazard ratio\u2009=\u20091.108, P\u2009&amp;lt;\u2009.001). The C-statistic increased from 0.750 for model A to 0.762 for model B (P\u2009=\u2009.078), 0.773 for model C (P\u2009=\u2009.046), and 0.791 for model D (P\u2009=\u2009.005). The AUC increased from 0.770 for model A to 0.793 for model B (P\u2009=\u2009.027), 0.793 for model C (P\u2009=\u2009.387), and 0.820 for model D (P\u2009=\u2009.019). Compared with model A, the NRIs for models B, C, and D were 0.243 (\u22120.323 to 0.792, P\u2009=\u2009.392), 0.428 (\u22120.012 to 0.835, P\u2009=\u2009.048), and 0.708 (0.152-1.016, P\u2009=\u2009.001), respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Lesion-specific PCATa improves risk prediction of MACE in CAD, which is better than PCATa-RCA and PCATa-LAD.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>Lesion-specific PCATa was superior to PCATa-RCA and PCATa-LAD for MACE prediction.<\/jats:p>\n               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