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Prognostic Value of Left Ventricular Kinetic Energy for Predicting Major Adverse Events in Hypertrophic
Mengyao Hu1, Xiaodan Zhao2, Ru-San Tan3
1Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Jiangxi, China; National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore.
Insights
Reduced left ventricular global kinetic energy (KEiEDV) in hypertrophic cardiomyopathy (HCM) patients predicts major adverse cardiac events (MACE). This 4D flow cardiac magnetic resonance (CMR) metric offers valuable prognostic information for risk stratification.
Area of Science:
- Cardiovascular Imaging
- Cardiac Physiology
- Biomedical Engineering
Background:
- Hypertrophic cardiomyopathy (HCM) is characterized by left ventricular (LV) hypertrophy, which significantly impacts blood flow hemodynamics.
- Altered LV hemodynamics in HCM can contribute to adverse clinical outcomes.
Purpose of the Study:
- To investigate the predictive capability of 4-dimensional (4D) flow cardiac magnetic resonance (CMR) parameters for major adverse cardiac events (MACE) in patients with HCM.
- To assess whether specific 4D flow CMR-derived metrics can identify HCM patients at higher risk for MACE.
Main Methods:
- Retrospective analysis of 165 adult HCM patients and 115 healthy controls from the INITIATE registry.
- All subjects underwent cine and 4D flow CMR.
- LV ejection fraction, maximal left atrial volume, LV flow components, and LV global kinetic energy indexed to end-diastolic volume (KEiEDV) were calculated.
Main Results:
- HCM patients exhibited reduced LV global KEiEDV compared to controls, with even lower values observed in those experiencing MACE.
- LV global KEiEDV provided incremental predictive value for MACE beyond traditional cine imaging and late gadolinium enhancement.
- A threshold of KEiEDV ≤ 6.37 μJ/mL independently predicted MACE (HR: 4.12) and remained significant after multivariable adjustment.
Conclusions:
- 4D flow-derived LV global KEiEDV is significantly reduced in HCM patients who experience MACE.
- This metric offers incremental prognostic value for clinical risk stratification in HCM.
- 4D flow CMR parameters hold potential for improving risk assessment in hypertrophic cardiomyopathy.
Background:
Hypertrophied left ventricle (LV) in hypertrophic cardiomyopathy (HCM) alters blood flow hemodynamics.
Objectives:
The authors aimed to evaluate whether 4-dimensional (4D) flow cardiac magnetic resonance (CMR) parameters can predict major adverse cardiac events (MACE) in HCM.
Methods:
This retrospective study included 165 adult HCM patients (mean age 51 years; 115 were male), and 115 normal control subjects with similar age and sex (INITIATE registry). All subjects underwent cine and 4D flow CMR, with LV ejection fraction and maximal left atrial volume calculated from cine images, and LV flow components and kinetic energy (KE) computed from 4D flow CMR. MACE included sudden cardiac death (SCD), aborted SCD, heart failure hospitalization, and stroke.
Results:
During follow-up (median: 38 months; Q1-Q3: 23-48 months), 30 patients (18%) experienced MACE. Compared with control subjects, HCM patients had reduced LV global KEiEDV (average KE during the cardiac cycle normalized to LV end-diastolic volume), and even lower in HCM with MACE. LV global KEiEDV provided incremental value over cine imaging (maximal left atrial volume and LV ejection) and late gadolinium enhancement in predicting HCM with MACE. KEiEDV ≤ 6.37 μJ/mL was an independent predictor of MACE in Cox regression analysis (HR: 4.12; 95% CI: 2.00-8.47) and remained significant after adjusting for age, NYHA functional class III/IV, family history of SCD, cine imaging, and late gadolinium enhancement extent (adjusted HR: 3.49 [95% CI: 1.67-7.30] to 4.50 [95% CI: 2.15-9.40]; all P < 0.01).
Conclusions:
We found that 4D flow-derived LV global KEiEDV was significantly reduced in HCM with MACE, which could provide incremental prognostic value for clinical risk stratification. (Integrated Computation Modeling of Right Heart Mechanics and Blood Flow Dynamics in Congenital Heart Disease [INITIATE]; NCT03217240).
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