CT-derived fractional flow reserve and pericoronary fat attenuation index combined with clinical and coronary CT angiography characteristics for predicting major adverse cardiovascular events after aortic valve replacement
10.13929/j.issn.1003-3289.2024.06.011
- VernacularTitle:CT血流储备分数与冠状动脉周围脂肪衰减指数联合临床及冠状动脉CT血管造影特征预测主动脉瓣置换术术后不良心血管事件
- Author:
Shuyuan HUANG
1
;
Baozhu YANG
;
Xinxin YU
;
Ximing WANG
Author Information
1. 山东第一医科大学附属省立医院医学影像科,山东济南 250021
- Keywords:
coronary artery disease;
aortic valve stenosis;
major adverse cardiovascular events;
CT-derived fractional flow reserve;
fat attenuation index
- From:
Chinese Journal of Medical Imaging Technology
2024;40(6):848-852
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of CT-derived fractional flow reserve(CT-FFR)and pericoronary fat attenuation index(FAI)combined with clinical and coronary CT angiography(CCTA)characteristics for predicting major adverse cardiovascular events(MACE)after aortic valve replacement(AVR).Methods Data of 139 patients with aortic stenosis who underwent AVR were retrospectively analyzed.According to occurrence of MACE or not during follow-up,the patients were divided into MACE group and non-MACE group.Cox proportional hazard regression was used to analyze clinical and CCTA data,as well as CT-FFR and FAI to screen independent predictors of MACE after AVR,and nested models based on clinical data,CCTA characteristics,CT-FFR and right coronary artery(RCA)FAI were constructed.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)and Harrell C index(C-index)were calculated to assess the diagnostic efficacy of each model,and their goodness of fit were evaluated.Results There were 22 cases in MACE group and 117 in non-MACE group.CT-FFR(HR=3.683)and RCA-FAI(HR=3.261)were both independent predictors of MACE in patients after AVR.The AUC of clinical model,modelclinical+CCTA,modelclinical+CCTA+CT-FFR and modelclinical+CCTA+CT-FFR+RCA-FAI was 0.636,0.730,0.758 and 0.817,and the C-index was 0.614,0.707,0.733 and 0.782,respectively.The predicted results of modelclinical+CCTA+CT-FFR+RCA-FAI were most consistent with actual results,with the best goodness of fit.Conclusion CT-FFR and RCA-FAI combined with clinical and CCTA characteristics could effectively predict MACE in patients after AVR.
