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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 and ventricular functional parameters by cardiovascular magnetic resonance for phenotyping hypertrophic
Shengliang Liu1, Xia Gu1, Yunling Li1
1Cardiovascular Imaging Center, Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Insights
Cardiovascular magnetic resonance (CMR) derived basal longitudinal strain (BLS) effectively predicts major adverse cardiovascular events (MACEs) in hypertrophic cardiomyopathy (HCM) patients. Impaired BLS is a key indicator for risk stratification across obstructive and nonobstructive HCM phenotypes.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Biomedical Engineering
Background:
- Hypertrophic cardiomyopathy (HCM) presents as obstructive (HOCM) and nonobstructive (HNOCM) phenotypes, each with unique clinical trajectories.
- Differentiating between HOCM and HNOCM and predicting adverse events are critical for patient management.
- Cardiovascular magnetic resonance (CMR) offers advanced imaging capabilities for assessing cardiac structure and function.
Purpose of the Study:
- To evaluate the diagnostic utility of left atrial (LA) and left ventricular (LV) functional parameters from CMR in distinguishing HOCM from HNOCM.
- To assess the prognostic value of these CMR-derived parameters for predicting major adverse cardiovascular events (MACEs) in HCM patients.
- To explore the role of LV and LA functional parameters in risk stratification across the HCM spectrum.
Main Methods:
- Retrospective analysis of 132 HCM patients and 41 controls using CMR cine imaging.
- Assessment of LV and LA strain parameters via feature tracking and fast long-axis methods.
- Logistic regression, ROC analysis for differentiation, and Kaplan-Meier survival analysis for MACE prediction.
Main Results:
- HOCM patients showed significantly impaired basal longitudinal strain (BLS) compared to HNOCM patients.
- A combined CMR model (LVMi, torsion, LAVimax) improved HOCM/HNOCM differentiation (AUC =0.828).
- Impaired BLS independently predicted MACEs across the entire HCM cohort and within subgroups (AUCs ranging from 0.737 to 0.780).
Conclusions:
- CMR-derived BLS is a robust, independent predictor of MACEs in HCM, particularly heart failure events.
- While other LA and LV parameters aid in phenotypic differentiation, BLS offers practical clinical value for risk stratification.
- BLS serves as a key marker for assessing prognosis in both obstructive and nonobstructive hypertrophic cardiomyopathy.
Background:
Hypertrophic cardiomyopathy (HCM) is classified into obstructive (HOCM) and nonobstructive (HNOCM) phenotypes with distinct clinical implications. This study aimed to evaluate the diagnostic and prognostic value of left atrial (LA) and left ventricular (LV) functional parameters derived from cardiovascular magnetic resonance (CMR) for differentiating between the two subtypes, and to explore their prognostic value for predicting major adverse cardiovascular events (MACEs).
Methods:
We retrospectively enrolled 173 participants (132 HCM patients, and 41 healthy controls). Cine imaging was utilized to acquire cardiac chamber dimensional and volumetric measurements. LV and LA strain parameters were assessed using feature tracking and fast long-axis methods. Multivariate logistic regression and receiver operating characteristic (ROC) analyses were applied to identify discriminative markers between HOCM and HNOCM. MACEs (all-cause death, sudden cardiac death, heart failure hospitalization, stroke, and new-onset atrial fibrillation) were recorded over a median follow-up of 969 days, with survival analyses performed using Kaplan-Meier (KM) curves.
Results:
Compared with HNOCM, patients with HOCM exhibited significantly impaired basal longitudinal strain (BLS, -14.26%±3.90% vs. -16.44%±4.82%, P=0.020), along with higher torsion, left ventricular mass index (LVMi), left ventricular end-diastolic volume index (EDVi), maximum ventricular wall thickness (MVWT), and left atrial maximum volume index (LAVimax) (all P<0.05). These parameters demonstrated modest discriminative power for differentiating HOCM from HNOCM [area under the curve (AUC) range, 0.632-0.761, all P<0.05]. A combined model incorporating LVMi, torsion, and LAVimax yielded improved diagnostic performance (AUC =0.828). During follow-up, 40 patients (30.3%) experienced MACEs. Impaired BLS independently predicted MACEs in the overall HCM cohort (AUC =0.773), as well as in HNOCM (AUC =0.780) and HOCM (AUC =0.737) subgroups (all P<0.05). KM analysis demonstrated significantly higher event rates in patients with BLS above corresponding thresholds (log-rank P<0.001).
Conclusions:
CMR-derived BLS is a robust and independent predictor of MACEs in HCM, with this association likely driven predominantly by heart failure-related events rather than all components of the composite endpoint. Although additional LA and LV functional parameters provide complementary value for phenotypic differentiation, BLS emerges as a clinically practical marker for risk stratification across the HCM spectrum.
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