Zhang Wenzhao, Li Peiling, Chen Xinyue, He Liyi, Zhang Qiang, Yu Jianqun
Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Department of Critical Care Medicine, Chengdu Shangjinnanfu Hospital, Chengdu 611730, China.
Diagnostics (Basel). 2023 Jun 21;13(13):2136. doi: 10.3390/diagnostics13132136.
This study analyzed the relationship between the coronary FAI on CCTA and coronary adverse events in patients with moderate coronary artery disease based on machine learning.
A total of 172 patients with coronary artery disease with moderate or lower coronary artery stenosis were included. According to whether the patients had coronary adverse events, the patients were divided into an adverse group and a non-adverse group. The coronary FAI of patients was quantified via machine learning, and significant differences between the two groups were analyzed via -test.
The age difference between the two groups was statistically significant ( < 0.001). The group that had adverse reactions was older, and there was no statistically significant difference between the two groups in terms of sex and smoking status. There was no statistical significance in the blood biochemical indexes between the two groups ( > 0.05). There was a significant difference in the FAIs between the two groups ( < 0.05), with the FAI of the defective group being greater than that of the nonperforming group. Taking the age of patients as a covariate, an analysis of covariance showed that after excluding the influence of age, the FAIs between the two groups were still significantly different ( < 0.001).
本研究基于机器学习分析了冠状动脉CT血管造影（CCTA）上的冠状动脉脂肪酸指数（FAI）与中度冠状动脉疾病患者冠状动脉不良事件之间的关系。
共纳入172例冠状动脉狭窄程度为中度或更低的冠状动脉疾病患者。根据患者是否发生冠状动脉不良事件，将患者分为不良组和非不良组。通过机器学习对患者的冠状动脉FAI进行量化，并通过t检验分析两组之间的显著差异。
两组之间的年龄差异具有统计学意义（P<0.001）。发生不良反应的组年龄较大，两组在性别和吸烟状况方面无统计学显著差异。两组之间的血液生化指标无统计学意义（P>0.05）。两组之间的FAI存在显著差异（P<0.05），缺陷组的FAI大于非缺陷组。以患者年龄作为协变量，协方差分析表明，排除年龄影响后，两组之间的FAI仍有显著差异（P<0.001）。
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