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Published on: February 3, 2014
The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy
Jie Wang1,2, Jinquan Zhang3, Lutong Pu1
1Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Insights
Left ventricular (LV) entropy from T1 mapping predicts sudden cardiac death (SCD) and cardiovascular death (CVD) in hypertrophic cardiomyopathy (HCM) patients. Increased LV entropy indicates higher risk, serving as an independent prognostic marker.
Area of Science:
- Cardiology
- Biomedical Imaging
- Medical Diagnostics
Background:
- The prognostic implications of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) remain incompletely understood.
- Assessing myocardial tissue characteristics is crucial for risk stratification in HCM patients.
Purpose of the Study:
- To evaluate the prognostic value of LV entropy, quantified using T1 mapping, in predicting adverse outcomes in individuals with HCM.
- To determine if LV entropy can serve as an independent predictor of sudden cardiac death (SCD) and cardiovascular death (CVD) in HCM.
Main Methods:
- Cardiovascular magnetic resonance (CMR) imaging was performed on 748 participants with HCM.
- LV entropy was measured using native T1 mapping.
- Competing risk and Cox regression analyses were employed to assess associations between LV entropy and SCD/CVD.
Main Results:
- Higher LV entropy (≥4.06) was significantly associated with increased risk of SCD and CVD (P < 0.05).
- LV mean entropy independently predicted SCD (HR: 1.03) and CVD (HR: 1.06) after adjusting for established risk factors and LGE extent.
- These findings held true in the overall cohort and in subgroups with low LGE extent.
Conclusions:
- LV mean entropy, derived from native T1 mapping, reflects myocardial tissue heterogeneity.
- LV mean entropy is an independent predictor of SCD and CVD in patients with HCM, offering valuable prognostic information.
Background:
The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.
Objectives:
This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.
Methods:
A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.
Results:
A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy (≥4.06) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent (<15%). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent (≥15%), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis.
Conclusions:
LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094).
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