Predictive Value of Left Atrial Structure and Function Parameters in Left Ventricular Remodeling in Patients With Type 2 Diabetes Mellitus.

BACKGROUND

The 4-dimensional automated left atrial quantification (4D Auto LAQ) technology for the left atrium was recently available. We aimed to evaluate LA function using 4D Auto LAQ in patients with type 2 diabetes mellitus (T2DM) and investigate its value in predicting left ventricular remodeling (LVR).

METHODS

A total of 106 T2DM patients (56 with left ventricular [LV] remodeling and 50 with normal geometry) and 46 age- and sex-matched controls were enrolled. LA total emptying fraction (LATEF), LA active emptying fraction (LAAEF), LA passive emptying fraction (LAPEF), and strain parameters, including LA reservoir longitudinal/circumferential strain (LASr/LASr-c), LA conduit longitudinal/circumferential strain (LAScd/LAScd-c), and LA contraction longitudinal/circumferential strain (LASct/LASct-c), were assessed with 4D Auto LAQ.

RESULTS

Compared to controls, LASr, LAScd, and LAPEF significantly decreased in both groups of T2DM patients (p < 0.001). T2DM patients with LVR had significantly lower LASr and LAScd than those with normal geometry (p < 0.001). LATEF was also reduced in T2DM patients with LVR compared to the control group (p < 0.05). Among the 4D-LAQ parameters, only LASr (odds ratio [OR]: 0.860, p = 0.016) was associated with LV remodeling (LVR) in multivariate analysis. Receiver operating characteristic (ROC) curves identified a LASr value of ≤22.5% as the optimal cutoff point to predict LVR in the T2DM cohort (sensitivity, 86.0%; specificity, 64.3%; area under the curve [AUC], 0.770; p < 0.001). In addition, LASr was found to be negatively correlated with both LV mass index (LVMI) and relative wall thickness (RWT) but positively correlated with the absolute value of the LV global longitudinal strain (LVGLS).

CONCLUSIONS

Impairment of LA reservoir and conduit functions can be observed in patients with T2DM, particularly in those with LVR. LASr may serve as a predictor of LVR in patients with T2DM.