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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Left atrial reservoir strain for predicting progression to end-stage in hypertrophic cardiomyopathy
Soongu Kwak1,2, Min-Ha Jeong1,2, Chan Soon Park1,2
1Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Insights
Progression to end-stage hypertrophic cardiomyopathy (HCM) is uncommon but linked to poor outcomes. Impaired left atrial reservoir strain (LARS) is a key predictor of HCM progression, aiding in risk stratification.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Medical Diagnostics
Background:
- End-stage hypertrophic cardiomyopathy (HCM), characterized by a left ventricular (LV) ejection fraction (LVEF) <50%, carries a poor prognosis.
- Predictors for progression to end-stage HCM remain incompletely understood, necessitating further investigation into prognostic factors.
Purpose of the Study:
- To identify independent prognostic factors for progression to end-stage HCM.
- To evaluate the predictive value of left atrial reservoir strain (LARS) in HCM progression.
Main Methods:
- Analysis of 925 patients with HCM undergoing echocardiography with ≥1 year follow-up.
- Primary outcome: progression to end-stage HCM (LVEF <50% without reversible causes).
- Cardiovascular magnetic resonance (CMR) subcohort (n=491) assessed LARS and late gadolinium enhancement (LGE).
Main Results:
- 3.8% of patients progressed to end-stage HCM over a median follow-up of 6.5 years.
- LV ejection fraction (LVEF), LV apical aneurysm, and left atrial reservoir strain (LARS) were independent predictors of progression.
- Impaired LARS (<16.9%) was associated with increased risk; LARS remained significant after adjusting for LGE% in the CMR subcohort.
- Adding LARS to existing models significantly improved prognostic value.
Conclusions:
- Progression to end-stage HCM, though infrequent, is associated with a poor prognosis.
- Impaired LARS is an independent predictor of HCM progression, offering added value beyond conventional markers.
- LARS demonstrates utility in risk stratification for patients with HCM.
Aims:
End-stage hypertrophic cardiomyopathy (HCM), defined as a left ventricular (LV) ejection fraction (LVEF) < 50%, is associated with poor prognosis; however, predictors of progression remain unclear. We aimed to identify prognostic factors for progression to end-stage HCM.
Methods And Results:
We analysed 925 patients with HCM between 2007 and 2023 who underwent ≥1 year of follow-up echocardiography. The primary outcome was progression to end-stage HCM, defined as an LVEF <50% without reversible causes. A cardiovascular magnetic resonance (CMR) subcohort included 491 patients with baseline CMR. During a median follow-up of 6.5 years (interquartile range: 3.3-10.7), 35 patients (3.8%) progressed to end-stage HCM [10-year cumulative incidence: 4.4%, 95% confidence interval (CI): 2.5-6.2%]. LVEF, LV apical aneurysm, and left atrial (LA) reservoir strain (LARS) were independent predictors of progression to end-stage HCM [per 1% decrease in LARS: adjusted hazard ratio (HR) 1.10, 95% CI 1.04-1.17, P < 0.001], and impaired LARS (<16.9%) was associated with a higher risk. In the CMR subcohort, LARS remained an independent predictor after adjusting for late gadolinium enhancement (LGE%) (adjusted HR 1.11, 95% CI 1.02-1.20, P = 0.011). Adding LARS to a model including LVEF, LV apical aneurysm, and LA size yielded significant incremental prognostic value (global χ2 27.1 to 40.1; P < 0.001). Similar incremental value was observed in models including LGE% in the CMR subcohort. After progression to end-stage HCM, prognosis was poor, with 2-year cardiovascular event-free survival rate of 71.0%.
Conclusion:
Progression to end-stage HCM is infrequent but associated with poor prognosis. Impaired LARS independently predicts disease progression beyond conventional markers, supporting its role in risk stratification.
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