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.
ABSTRACT
Objective:To analyze the left atrial (LA) function and predict the value of diastolic dysfunction (LVDD) in patients with heart failure (HF) by four-dimensional automatic left atrial quantitation (4D Auto LAQ) technology.Methods:A total of 90 patients with HF(LVDD group) and 30 healthy volunteers (control group)were enrolled from January 2021 to July 2021 in Fuwai Central China Cardiovascular Hospital. The patients with HF were divided into 3 groups according to the degree of LVDD: grade Ⅰ( n=30), grade Ⅱ( n=30), grade Ⅲ( n=30). Four-dimensional dynamic images of LA were collected by 4D Auto LAQ technology for on-machine analysis. LA volume and strain parameters were obtained, including LA maximum volume index (LAVImax), 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). Pearson linear correlation was used to analyze the correlation between LA strain parameters and diastolic function parameters (LAVImax, E/A, E/e′) in HF patients. ROC curves were plotted to analyze the diagnostic performance of LA strain parameters and LAVImax for grade Ⅲ LVDD, the area under the curve (AUC) was calculated and pairwise comparisons were made. Results:①Compared with the control group, LAVmin, LAVpreA, LAScd, LASct, LAScd-c, and LASct-c were increased, and LASr, and LASr-c were decreased in the grade Ⅰ, Ⅱ, and Ⅲ LVDD groups (all P<0.05). LAVmin, LAVpreA, LAVmax, LAVImax, LAScd, LASct, LAScd-c and LASct-c were increased, and LASr and LASr-c were decreased in grade Ⅲ LVDD group compared with grade Ⅰ and Ⅱ LVDD groups (all P<0.05). ②Pearson correlation analysis showed that LASr, LASct, LASr-c and LASct-c were strongly correlated with diastolic function parameters (LAVImax, E/A, E/e′) (all P<0.01). ③ROC curve analysis showed that LASr-c had significantly better performance (AUC 0.868, sensitivity 96.7%, specificity 66.7%) than other parameters in the diagnosis of grade Ⅲ LVDD. Conclusions:4D Auto LAQ can effectively evaluate the LA volume and function in patients with HF. LASr-c is optimal in predicting grade Ⅲ LVDD, 4D Auto LAQ provides a new reference for evaluating diastolic function in patients with HF.