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Left Atrioventricular Coupling Index to Predict Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis
Theo Pezel1,2, Bharath Ambale Venkatesh1, Yoko Kato1
1Division of Cardiology, Johns Hopkins Hospital, Johns Hopkins University, School of Medicine, Baltimore, MD, United States.
Insights
Assessing left atrioventricular coupling index (LACI) and its change (ΔLACI) using cardiovascular magnetic resonance can predict heart failure (HF) events. These measures offer incremental prognostic value beyond traditional risk factors for HF.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Predictive Analytics
Background:
- Left atrial (LA) and left ventricular (LV) dysfunction predict heart failure (HF).
- LA/LV coupling may better reflect left atrioventricular dysfunction and predict HF.
- Cardiovascular magnetic resonance (CMR) enables detailed assessment of cardiac structure and function.
Purpose of the Study:
- Investigate the prognostic value of the left atrioventricular coupling index (LACI) measured by CMR.
- Evaluate the predictive capability of LACI and its change (ΔLACI) for incident HF.
- Assess the incremental prognostic value of LACI and ΔLACI over traditional risk factors.
Main Methods:
- Utilized data from 2,250 participants in the Multi-Ethnic Study of Atherosclerosis (MESA), free of HF and CVD at baseline.
- Assessed LACI (ratio of LA to LV end-diastolic volumes) by CMR at baseline and 10 years later.
- Employed Cox proportional hazard models and risk prediction metrics (C-statistic, NRI, IDI) to analyze associations and incremental value.
Main Results:
- Greater LACI and ΔLACI were independently associated with incident HF (adjusted HRs > 1.4, p < 0.0001).
- LACI and ΔLACI significantly improved HF prediction models compared to traditional risk factors.
- Adjusted models with LACI showed improved discrimination (C-statistic 0.81 vs. 0.77) and reclassification (NRI 0.411).
- ΔLACI further enhanced prediction (C-statistic 0.82 vs. 0.77; NRI 0.491).
Conclusions:
- Left atrioventricular coupling (LACI) and its change (ΔLACI) are independent predictors of incident HF in a multi-ethnic population.
- LACI and ΔLACI provide significant incremental prognostic value for HF events.
- CMR-derived LACI offers a promising tool for identifying individuals at high risk for HF.
Abstract:
Background: Although left atrial (LA) and left ventricular (LV) structural and functional parameters have independent prognostic value as predictors of heart failure (HF), the close physiological relationship between the LA and LV suggest that the assessment of LA/LV coupling could better reflect left atrioventricular dysfunction and be a better predictor of HF. Aim: We investigated the prognostic value of a left atrioventricular coupling index (LACI), measured by cardiovascular magnetic resonance (CMR), as well as change in LACI to predict incident HF in the Multi-Ethnic Study of Atherosclerosis (MESA). Materials and Methods: In the MESA, 2,250 study participants, free of clinically recognized HF and cardiovascular disease (CVD) at baseline, had LACI assessed by CMR imaging at baseline (Exam 1, 2000-2002), and 10 years later (Exam 5, 2010-2012). Left atrioventricular coupling index was defined as the ratio of LA to LV end-diastolic volumes. Univariable and multivariable Cox proportional hazard models were used to evaluate the associations of LACI and average annualized change in LACI (ΔLACI) with incident HF after adjustment for traditional MESA-HF risk factors. The incremental risk prediction was calculated using C-statistic, categorical net reclassification index (NRI) and integrative discrimination index (IDI). Results: Among the 2,250 participants (mean age 59.3 ± 9.3 years and 47.6% male participants), 50 incident HF events occurred over 6.8 ± 1.3 years after the second CMR exam. After adjustment, greater LACI and ΔLACI were independently associated with HF (adjusted HR 1.44, 95% CI [1.25-1.66] and adjusted HR 1.55, 95% CI [1.30-1.85], respectively; both p < 0.0001). Adjusted models for LACI showed significant improvement in model discrimination and reclassification compared to currently used HF risk score model for predicting HF incidence (C-statistic: 0.81 vs. 0.77; NRI = 0.411; IDI = 0.043). After adjustment, ΔLACI showed also significant improvement in model discrimination compared to the multivariable model with traditional MESA-HF risk factors for predicting incident HF (C-statistic: 0.82 vs. 0.77; NRI = 0.491; IDI = 0.058). Conclusions: In a multi-ethnic population, atrioventricular coupling (LACI), and coupling change (ΔLACI) are independently associated with incident HF. Both have incremental prognostic value for predicting HF events over traditional HF risk factors.
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