Optimizing the risk stratification of coronary CT angiography for non-obstructive coronary artery disease based on cluster analysis
10.3760/cma.j.cn112149-20230606-00391
- VernacularTitle:基于聚类分析优化冠状动脉CT血管成像对非阻塞性冠心病的风险分层研究
- Author:
Kai WANG
1
;
Zinuan LIU
;
Guanhua DOU
;
Ran XIN
;
Yundai CHEN
;
Junjie YANG
Author Information
1. 解放军总医院第一医学中心心血管内科，北京 100853
- Keywords:
Coronary disease;
Tomography, X-ray computed;
Cluster analysis;
Risk stratification
- From:
Chinese Journal of Radiology
2023;57(9):969-976
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the risk stratification value of coronary CT angiography (CCTA) in patients with non-obstructive coronary artery disease based on cluster analysis and to identify the high-risk population of cardiovascular adverse events in patients.Methods:Prospective consecutive patients with suspected coronary artery disease who underwent CCTA examination and were confirmed as non-obstructive coronary heart disease were enrolled in the General Hospital of Chinese PLA from January 1, 2015 to December 31, 2017. The clinical characteristics and CCTA diagnosis information of patients were collected, and then follow-up was performed to obtain adverse cardiovascular events. Firstly, the cluster analysis based on CCTA information divided the patients into different groups. Then, the risk of adverse cardiovascular events was compared between different groups. Finally, segment involvement score (SIS) score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics, and cluster information combined with clinical characteristics were used to stratify the population, and the concordance index-time curve and net reclassification improvement (NRI) index were described to compare the risk stratification ability of the five different models.Results:A total of 3 402 patients with non-obstructive coronary artery disease were included in the study, of whom 104 had adverse cardiovascular events during the follow-up period. Cluster analysis based on CCTA information classified patients into 3 different groups. There were statistically significant differences in clinical characteristics, CCTA information, and survival outcomes between groups ( P<0.05). The results of the concordance index-time curve showed that the risk stratification ability of CCTA cluster information combined with clinical characteristics was better than the current SIS score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics. At the 1-year and 2-year time cutoffs, cluster information combined with clinical characteristics showed a positive increase in INR compared with the first four models (INR was 0.248 and 0.293, 0.316 and 0.293, 0.147 and 0.003, 0.192 and 0.007, respectively). Conclusion:CCTA based on cluster analysis has a good risk stratification value for patients with non-obstructive coronary artery disease and is helpful for individualized intervention.
