Yipu Ding, Dongkai Shan, Tianwen Han, Zinuan Liu, Xi Wang, Guanhua Dou, Ran Xin, Ziqiang Guo, Guanxi Chen, Jing Jing, Bai He, Yundai Chen, Junjie Yang
{"title":"糖尿病合并冠心病患者血管周围脂肪衰减指数的增量预后价值。","authors":"Yipu Ding, Dongkai Shan, Tianwen Han, Zinuan Liu, Xi Wang, Guanhua Dou, Ran Xin, Ziqiang Guo, Guanxi Chen, Jing Jing, Bai He, Yundai Chen, Junjie Yang","doi":"10.1148/ryct.240242","DOIUrl":null,"url":null,"abstract":"<p><p>Purpose To investigate whether pericoronary adipose tissue attenuation (PCATa) provides incremental prognostic value over commonly used coronary CT angiography (CCTA) parameters for predicting major adverse cardiovascular and cerebrovascular events (MACCE) in individuals with diabetes mellitus (DM). Materials and Methods This prospective study included consecutive patients with type 2 DM who underwent CCTA due to suspected coronary artery disease between January 2015 and December 2017. PCATa of three coronary arteries was measured and evaluated. Cox proportional hazards regression was performed to investigate the prognostic value of PCATa for predicting MACCE. The incremental prognostic value of PCATa for MACCE was evaluated by comparing area under the receiver operating characteristic curve (AUC) values of four models (model 1: clinical characteristics, model 2: model 1 + conventional CCTA findings [coronary artery calcium score, Leiden score], model 3: model 2 + advanced CCTA findings [high-risk plaque, CT fractional flow reserve], model 4: model 3 + PCATa). Results Of the 1029 participants (mean age, 60.2 years ± 9.9 [SD]; 539 male) included in the study, 152 (14.8%) experienced MACCE during a median follow-up of 56.5 months. PCATa independently predicted MACCE after adjustment for clinical characteristics and commonly used CCTA findings (hazard ratio, 1.86 [95% CI: 1.24, 2.80]; <i>P</i> = .003). The model incorporating PCATa improved predictive performance for MACCE compared with the model including clinical characteristics and conventional and advanced CCTA parameters (AUC, 0.75 [95% CI: 0.71, 0.79] vs 0.73 [95% CI: 0.68, 0.77]; <i>P</i> = .009). Conclusion PCATa provided incremental prognostic value beyond clinical characteristics and other CCTA findings for prediction of MACCE in individuals with DM. <b>Keywords:</b> CT Angiography, Cardiac, Coronary Arteries, Inflammation, Outcomes Analysis, Coronary Computed Tomography Angiography, Diabetes Mellitus, Coronary Inflammation, Pericoronary Adipose Tissue Attenuation <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240242"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incremental Prognostic Value of Perivascular Fat Attenuation Index in Patients with Diabetes with Coronary Artery Disease.\",\"authors\":\"Yipu Ding, Dongkai Shan, Tianwen Han, Zinuan Liu, Xi Wang, Guanhua Dou, Ran Xin, Ziqiang Guo, Guanxi Chen, Jing Jing, Bai He, Yundai Chen, Junjie Yang\",\"doi\":\"10.1148/ryct.240242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Purpose To investigate whether pericoronary adipose tissue attenuation (PCATa) provides incremental prognostic value over commonly used coronary CT angiography (CCTA) parameters for predicting major adverse cardiovascular and cerebrovascular events (MACCE) in individuals with diabetes mellitus (DM). Materials and Methods This prospective study included consecutive patients with type 2 DM who underwent CCTA due to suspected coronary artery disease between January 2015 and December 2017. PCATa of three coronary arteries was measured and evaluated. Cox proportional hazards regression was performed to investigate the prognostic value of PCATa for predicting MACCE. The incremental prognostic value of PCATa for MACCE was evaluated by comparing area under the receiver operating characteristic curve (AUC) values of four models (model 1: clinical characteristics, model 2: model 1 + conventional CCTA findings [coronary artery calcium score, Leiden score], model 3: model 2 + advanced CCTA findings [high-risk plaque, CT fractional flow reserve], model 4: model 3 + PCATa). Results Of the 1029 participants (mean age, 60.2 years ± 9.9 [SD]; 539 male) included in the study, 152 (14.8%) experienced MACCE during a median follow-up of 56.5 months. PCATa independently predicted MACCE after adjustment for clinical characteristics and commonly used CCTA findings (hazard ratio, 1.86 [95% CI: 1.24, 2.80]; <i>P</i> = .003). The model incorporating PCATa improved predictive performance for MACCE compared with the model including clinical characteristics and conventional and advanced CCTA parameters (AUC, 0.75 [95% CI: 0.71, 0.79] vs 0.73 [95% CI: 0.68, 0.77]; <i>P</i> = .009). Conclusion PCATa provided incremental prognostic value beyond clinical characteristics and other CCTA findings for prediction of MACCE in individuals with DM. <b>Keywords:</b> CT Angiography, Cardiac, Coronary Arteries, Inflammation, Outcomes Analysis, Coronary Computed Tomography Angiography, Diabetes Mellitus, Coronary Inflammation, Pericoronary Adipose Tissue Attenuation <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>\",\"PeriodicalId\":21168,\"journal\":{\"name\":\"Radiology. Cardiothoracic imaging\",\"volume\":\"7 2\",\"pages\":\"e240242\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiology. Cardiothoracic imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1148/ryct.240242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology. Cardiothoracic imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1148/ryct.240242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
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