Predictive value of left ventricular ejection fraction reserve assessed by SPECT G-MPI for major adverse cardiovascular event in patients with coronary artery disease.
10.3760/cma.j.cn112148-20220919-00730
- VernacularTitle:SPECT G-MPI评估左心室射血分数储备对冠心病患者主要不良心血管事件的预测价值
- Author:
Yi Han ZHOU
1
;
Yao LU
1
;
Jing Jing MENG
1
;
Tian Tian MOU
1
;
Yu Jie BAI
1
;
Shuang ZHANG
1
;
Ya Qi ZHENG
1
;
Qiu Ju DENG
1
;
Jian JIAO
1
;
Zhi CHANG
1
;
Xiao Fen XIE
1
;
Ming Kai YUN
1
;
Hong Zhi MI
1
;
Xiang LI
1
;
Xiao Li ZHANG
1
Author Information
1. Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Male;
Middle Aged;
Aged;
Coronary Artery Disease/diagnostic imaging*;
Stroke Volume;
Myocardial Perfusion Imaging;
Retrospective Studies;
Ventricular Function, Left;
Myocardial Ischemia
- From:
Chinese Journal of Cardiology
2023;51(6):626-632
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To evaluate the prognostic value of left ventricular ejection fraction (LVEF) reserve assessed by gated SPECT myocardial perfusion imaging (SPECT G-MPI) for major adverse cardiovascular event (MACE) in patients with coronary artery disease. Methods: This is a retrospective cohort study. From January 2017 to December 2019, patients with coronary artery disease and confirmed myocardial ischemia by stress and rest SPECT G-MPI, and underwent coronary angiography within 3 months were enrolled. The sum stress score (SSS) and sum resting score (SRS) were analyzed by the standard 17-segment model, and the sum difference score (SDS, SDS=SSS-SRS) was calculated. The LVEF at stress and rest were analyzed by 4DM software. The LVEF reserve (ΔLVEF) was calculated (ΔLVEF=stress LVEF-rest LVEF). The primary endpoint was MACE, which was obtained by reviewing the medical record system or by telephone follow-up once every twelve months. Patients were divided into MACE-free and MACE groups. Spearman correlation analysis was used to analyze the correlation between ΔLVEF and all MPI parameters. Cox regression analysis was used to analyze the independent factors of MACE, and the optimal SDS cutoff value for predicting MACE was determined by receiver operating characteristic curve (ROC). Kaplan-Meier survival curves were plotted to compare the difference in the incidence of MACE between different SDS groups and different ΔLVEF groups. Results: A total of 164 patients with coronary artery disease [120 male; age (58.6±10.7) years] were included. The average follow-up time was (26.5±10.4) months, and a total of 30 MACE were recorded during follow-up. Multivariate Cox regression analysis showed that SDS (HR=1.069, 95%CI: 1.005-1.137, P=0.035) and ΔLVEF (HR=0.935, 95%CI: 0.878-0.995, P=0.034) were independent predictors of MACE. According to ROC curve analysis, the optimal cut-off to predict MACE was a SDS of 5.5 with an area under the curve of 0.63 (P=0.022). Survival analysis showed that the incidence of MACE was significantly higher in the SDS≥5.5 group than in the SDS<5.5 group (27.6% vs. 13.2%, P=0.019), but the incidence of MACE was significantly lower in the ΔLVEF≥0 group than in theΔLVEF<0 group (11.0% vs. 25.6%, P=0.022). Conclusions: LVEF reserve (ΔLVEF) assessed by SPECT G-MPI serves as an independent protective factor for MACE, while SDS is an independent risk predictor in patients with coronary artery disease. SPECT G-MPI is valuable for risk stratification by assessing myocardial ischemia and LVEF.
