Cardiac magnetic resonance-derived atrioventricular coupling index for predicting left ventricular reverse remodeling

J Ke1, C Zhang1, X Wang1

  • 1Department of Radiology, The First Affiliated Hospital of Wannan Medical College, No.2 Zheshan West Road, Wuhu, Anhui Province, 241001, PR China.

Clinical Radiology
|May 19, 2026
PubMed

Insights

The cardiac magnetic resonance-derived left atrioventricular coupling index (LACI) effectively predicts left ventricular reverse remodeling (LVRR) in dilated cardiomyopathy (DCM) patients. LACI offers superior or comparable predictive value to strain parameters in clinical models.

Area of Science:

  • Cardiology
  • Cardiovascular Imaging
  • Biomarkers

Background:

  • Dilated cardiomyopathy (DCM) is a significant cause of heart failure.
  • Left ventricular reverse remodeling (LVRR) is a key indicator of improved prognosis in DCM patients.
  • Predictive markers for LVRR are crucial for optimizing treatment strategies.

Purpose of the Study:

  • To evaluate the predictive value of the cardiac magnetic resonance (CMR)-derived left atrioventricular coupling index (LACI) for LVRR in DCM patients.
  • To compare the performance of LACI against strain parameters in predicting LVRR.

Main Methods:

  • Retrospective analysis of 64 DCM patients receiving guideline-directed therapy.
  • Stratification into LVRR and non-LVRR groups based on echocardiographic criteria after one-year follow-up.
  • Development and comparison of three multivariable models incorporating LACI, left ventricular strain, or left atrial strain.

Main Results:

  • Lower LACI, creatinine, uric acid, and cardiac volumes were observed in the LVRR group (p<0.05).
  • Higher ejection fractions and strain parameters were found in the LVRR group (p<0.05).
  • LACI independently predicted LVRR (OR=0.585, p=0.009), with a model including LACI showing the highest AUC (0.825).

Conclusions:

  • The LACI is a valuable predictor of LVRR in DCM patients.
  • LACI demonstrates comparable or superior predictive performance to strain parameters when integrated into clinical and CMR-based models.
  • LACI may enhance the prediction of treatment response in DCM.
Abstract

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