Panagiotis Antiochos1, Yin Ge2, Rob J van der Geest3, Chaitanya Madamanchi2, Iqra Qamar2, Ayako Seno2, Michael Jerosch-Herold2, Usha B Tedrow4, William G Stevenson5, Raymond Y Kwong6. 1. Noninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Cardiovascular Division, University Hospital of Lausanne (CHUV), Lausanne, Switzerland. 2. Noninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA. 3. Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. 4. Cardiovascular Division of Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA. 5. Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 6. Noninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Cardiovascular Division of Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA. Electronic address: rykwong@bwh.harvard.edu.
Abstract
OBJECTIVES: The authors investigated the incremental prognostic value of entropy, a novel measure of myocardial tissue heterogeneity by cardiac magnetic resonance (CMR) imaging in patients presenting with ventricular arrhythmias (VAs). BACKGROUND: CMR can characterize myocardial areas serving as arrhythmogenic substrate. METHODS: Consecutive patients undergoing CMR imaging for VAs were followed for major adverse cardiac events (MACEs) defined by all-cause death, incident VAs requiring therapy, or heart failure hospitalization. Entropy was derived from the probability distribution of pixel signal intensities of the left ventricular (LV) myocardium. RESULTS: A total of 583 patients (age 54 ± 15 years, female 39%, left ventricular ejection fraction [LVEF] 54 ± 13%) were followed for a median of 4.4 years and experienced 141 MACEs. Entropy showed strong unadjusted association with MACE (HR: 1.88; 95% CI: 1.63-2.17; P < 0.001). In a multivariable model including LVEF, QRS duration, late gadolinium enhancement, and presenting arrhythmia, entropy maintained independent association with MACE (HR: 1.61; 95% CI: 1.32-1.96; P < 0.001). Entropy was further significantly associated with MACE in patients without myocardial scar (HR: 2.43; 95% CI: 1.55-3.82; P < 0.001) and in those presenting with nonsustained VAs (HR: 2.16; 95% CI: 1.43-3.25; P < 0.001). Addition of LV entropy to the baseline multivariable model significantly improved model performance (C-statistic improvement: 0.725 to 0.754; P = 0.003) and risk reclassification. CONCLUSIONS: In patients with VAs, CMR-assessed LV entropy was independently associated with MACE and provided incremental prognostic value, on top of LVEF and late gadolinium enhancement. LV entropy assessment may help risk stratification in patients with absence of myocardial scar or with nonsustained VAs.
OBJECTIVES: The authors investigated the incremental prognostic value of entropy, a novel measure of myocardial tissue heterogeneity by cardiac magnetic resonance (CMR) imaging in patients presenting with ventricular arrhythmias (VAs). BACKGROUND: CMR can characterize myocardial areas serving as arrhythmogenic substrate. METHODS: Consecutive patients undergoing CMR imaging for VAs were followed for major adverse cardiac events (MACEs) defined by all-cause death, incident VAs requiring therapy, or heart failure hospitalization. Entropy was derived from the probability distribution of pixel signal intensities of the left ventricular (LV) myocardium. RESULTS: A total of 583 patients (age 54 ± 15 years, female 39%, left ventricular ejection fraction [LVEF] 54 ± 13%) were followed for a median of 4.4 years and experienced 141 MACEs. Entropy showed strong unadjusted association with MACE (HR: 1.88; 95% CI: 1.63-2.17; P < 0.001). In a multivariable model including LVEF, QRS duration, late gadolinium enhancement, and presenting arrhythmia, entropy maintained independent association with MACE (HR: 1.61; 95% CI: 1.32-1.96; P < 0.001). Entropy was further significantly associated with MACE in patients without myocardial scar (HR: 2.43; 95% CI: 1.55-3.82; P < 0.001) and in those presenting with nonsustained VAs (HR: 2.16; 95% CI: 1.43-3.25; P < 0.001). Addition of LV entropy to the baseline multivariable model significantly improved model performance (C-statistic improvement: 0.725 to 0.754; P = 0.003) and risk reclassification. CONCLUSIONS: In patients with VAs, CMR-assessed LV entropy was independently associated with MACE and provided incremental prognostic value, on top of LVEF and late gadolinium enhancement. LV entropy assessment may help risk stratification in patients with absence of myocardial scar or with nonsustained VAs.