Zengfa Huang, Xiaowei Chen, Wanpeng Wang, Xinyu Du, Beibei Cao, Mei Li, Yang Yang, Xi Wang, Jiong Huang, Jinghang Zhu, Xu Zhao, Xiang Wang
{"title":"基于冠状动脉计算机断层血管造影的非阻塞性冠状动脉疾病在长期随访和多中心研究中的预后价值","authors":"Zengfa Huang, Xiaowei Chen, Wanpeng Wang, Xinyu Du, Beibei Cao, Mei Li, Yang Yang, Xi Wang, Jiong Huang, Jinghang Zhu, Xu Zhao, Xiang Wang","doi":"10.1038/s41598-025-04147-5","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigates the long-term prognostic significance of non-obstructive coronary artery disease (CAD) in predicting the risk of all-cause death in a multicenter study. Three hospitals in Wuhan participated in this retrospective, observational, multicenter study of 7320 patients with suspected of having CAD and who underwent clinical coronary computed tomography angiography (CTA) from June 2011 to December 2015. According to coronary CTA, the extent of CAD was categorized as non-obstructive, obstructive, and no CAD. The primary outcome was all-cause mortality. A total of 611 patients experienced all-cause mortality with a median duration of 8.0 years (7.2-8.9). The annualized mortality rate was 0.50 (95% CI: 0.43-0.58), 1.31 (95% CI: 1.16-1.47), and 2.18 (95% CI: 1.93-2.46) for the no CAD, non-obstructive CAD, and obstructive CAD, respectively. There was a significant association between the classification and the increased cumulative events, as shown by the Kaplan-Meier survival curve (P < 0.001). The multivariate Cox model showed that the hazard ratios (HR) for predicting all-cause mortality from 1.42 (95% CI: 1.15-1.75, P = 0.001) in non-obstructive CAD to 1.87 (95% CI: 1.50-2.33, P < 0.001) in obstructive CAD compared with no CAD. At 8-year follow-up, patients with non-obstructive CAD detected by coronary CTA had a 1.42-fold increased risk of all-cause mortality compared to patients without evidence of CAD. Thus, these findings suggest that non-obstructive CAD is clinically significant and that further investigation of interventions to improve the prognosis of these patients is warranted.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"19153"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12126528/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prognostic value of non-obstructive coronary artery disease based on coronary computed tomography angiography in a long-term follow-up and multicenter study.\",\"authors\":\"Zengfa Huang, Xiaowei Chen, Wanpeng Wang, Xinyu Du, Beibei Cao, Mei Li, Yang Yang, Xi Wang, Jiong Huang, Jinghang Zhu, Xu Zhao, Xiang Wang\",\"doi\":\"10.1038/s41598-025-04147-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study investigates the long-term prognostic significance of non-obstructive coronary artery disease (CAD) in predicting the risk of all-cause death in a multicenter study. Three hospitals in Wuhan participated in this retrospective, observational, multicenter study of 7320 patients with suspected of having CAD and who underwent clinical coronary computed tomography angiography (CTA) from June 2011 to December 2015. According to coronary CTA, the extent of CAD was categorized as non-obstructive, obstructive, and no CAD. The primary outcome was all-cause mortality. A total of 611 patients experienced all-cause mortality with a median duration of 8.0 years (7.2-8.9). The annualized mortality rate was 0.50 (95% CI: 0.43-0.58), 1.31 (95% CI: 1.16-1.47), and 2.18 (95% CI: 1.93-2.46) for the no CAD, non-obstructive CAD, and obstructive CAD, respectively. There was a significant association between the classification and the increased cumulative events, as shown by the Kaplan-Meier survival curve (P < 0.001). The multivariate Cox model showed that the hazard ratios (HR) for predicting all-cause mortality from 1.42 (95% CI: 1.15-1.75, P = 0.001) in non-obstructive CAD to 1.87 (95% CI: 1.50-2.33, P < 0.001) in obstructive CAD compared with no CAD. At 8-year follow-up, patients with non-obstructive CAD detected by coronary CTA had a 1.42-fold increased risk of all-cause mortality compared to patients without evidence of CAD. Thus, these findings suggest that non-obstructive CAD is clinically significant and that further investigation of interventions to improve the prognosis of these patients is warranted.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"19153\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12126528/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-04147-5\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-04147-5","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Prognostic value of non-obstructive coronary artery disease based on coronary computed tomography angiography in a long-term follow-up and multicenter study.
This study investigates the long-term prognostic significance of non-obstructive coronary artery disease (CAD) in predicting the risk of all-cause death in a multicenter study. Three hospitals in Wuhan participated in this retrospective, observational, multicenter study of 7320 patients with suspected of having CAD and who underwent clinical coronary computed tomography angiography (CTA) from June 2011 to December 2015. According to coronary CTA, the extent of CAD was categorized as non-obstructive, obstructive, and no CAD. The primary outcome was all-cause mortality. A total of 611 patients experienced all-cause mortality with a median duration of 8.0 years (7.2-8.9). The annualized mortality rate was 0.50 (95% CI: 0.43-0.58), 1.31 (95% CI: 1.16-1.47), and 2.18 (95% CI: 1.93-2.46) for the no CAD, non-obstructive CAD, and obstructive CAD, respectively. There was a significant association between the classification and the increased cumulative events, as shown by the Kaplan-Meier survival curve (P < 0.001). The multivariate Cox model showed that the hazard ratios (HR) for predicting all-cause mortality from 1.42 (95% CI: 1.15-1.75, P = 0.001) in non-obstructive CAD to 1.87 (95% CI: 1.50-2.33, P < 0.001) in obstructive CAD compared with no CAD. At 8-year follow-up, patients with non-obstructive CAD detected by coronary CTA had a 1.42-fold increased risk of all-cause mortality compared to patients without evidence of CAD. Thus, these findings suggest that non-obstructive CAD is clinically significant and that further investigation of interventions to improve the prognosis of these patients is warranted.
期刊介绍:
We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections.
Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021).
•Engineering
Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live.
•Physical sciences
Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics.
•Earth and environmental sciences
Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems.
•Biological sciences
Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants.
•Health sciences
The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.