Evaluation of left atrial function in predicting left ventricular remodeling in patients with coronary heart disease by four dimensional automatic left atrial quantitation analysis technique
10.3760/cma.j.cn131148-20221209-00856
- VernacularTitle:四维自动左房定量技术评价冠心病患者左房功能预测左室重构的应用价值
- Author:
Ying WANG
1
;
Cunying CUI
;
Yanbin HU
;
Ruijie LIU
;
Danqing HUANG
;
Yanan LI
;
Yuanyuan LIU
;
Lin LIU
Author Information
1. 阜外华中心血管病医院超声科，郑州 451464
- Keywords:
Four dimensional automatic left atrial quantitation;
Coronary heart disease;
Left ventricular remodeling;
Atrial function, left
- From:
Chinese Journal of Ultrasonography
2023;32(7):583-589
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate left atrial(LA) function and its value in predicting left ventricular(LV) remodeling in patients with coronary heart disease (CHD) by four dimensional automatic left atrial quantitation (4D Auto LAQ).Methods:A total of 176 patients with CHD were prospectively enrolled in Fuwai Central China Cardiovascular Hospital from October 2021 to September 2022. They were divided into two groups according to left ventricular mass index: LV remodeling group (female>95 g/m 2, male>115 g/m 2, n=88) and Non-LV remodeling group (female≤95 g/m 2, male≤115 g/m 2, n=88). The 3D dynamic image of LA was analyzed by 4D Auto LAQ on machine to obtain the LA parameters, including the minimum, maximum, pre-systolic and emptying volumes of LA (LAVmin, LAVmax, LAVpreA, LAEV), LA ejection fraction (LAEF), LA reservoir longitudinal and circumferential strains (LASr, LASr-c), LA conduit longitudinal and circumferential strains (LAScd, LAScd-c) and LA contraction longitudinal and circumferential strains (LASct, LASct-c). Logistic regression models were used to analyze the value of LA parameters in predicting LV remodeling in patients with CHD. ROC curve was used to evaluate LA parameters and left atrial volume index (LAVI) to predict the diagnostic efficiency of LV remodeling. Results:Compared with the Non-LV remodeling group, LAVmin, LAVmax, LAVpreA were significantly increased and LAEF, LASr, LAScd, LASct, LASr-c, LAScd-c, LASct-c were significantly decreased in the LV remodeling group ( P<0.05). Logistic regression model showed that LASct-c was an independent risk factor for LV remodeling in patients with CHD after adjustment( OR=2.018, 95% CI=1.214-3.355). ROC curve analysis showed that the area under the curve of LASct-c for predicting LV remodeling in CHD patients was 0.844, the sensitivity was 0.784, and the specificity was 0.761. Conclusions:4D Auto LAQ can effectively evaluate LA function in patients with CHD.LASct-c can be used as a reference index to predict LV remodeling in patients with CHD, which provides a new evaluation method in prognosis evaluation of CHD patients.
