» Articles » PMID: 33834849

Novel Approach to Risk Stratification in Left Ventricular Non-Compaction Using A Combined Cardiac Imaging and Plasma Biomarker Approach

Overview
Date 2021 Apr 9
PMID 33834849
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Background Left ventricular non-compaction remains a poorly described entity, which has led to challenges of overdiagnosis. We aimed to evaluate if the presence of a thin compacted myocardial layer portends poorer outcomes in individuals meeting cardiac magnetic resonance criteria for left ventricular non-compaction . Methods and Results This was an observational, retrospective cohort study involving individuals selected from the Cleveland Clinic Foundation cardiac magnetic resonance database (N=26 531). Between 2000 and 2018, 328 individuals ≥12 years, with left ventricular non-compaction or excessive trabeculations based on the cardiac magnetic resonance Petersen criteria were included. The cohort comprised 42% women, mean age 43 years. We assessed the predictive ability of myocardial thinning for the primary composite end point of major adverse cardiac events (composite of all-cause mortality, heart failure hospitalization, left ventricular assist device implantation/heart transplant, ventricular tachycardia, or ischemic stroke). At mean follow-up of 3.1 years, major adverse cardiac events occurred in 102 (31%) patients. After adjusting for comorbidities, the risk of major adverse cardiac events was nearly doubled in the presence of significant compacted myocardial thinning (hazard ratio [HR], 1.88 [95% CI, 1.18‒3.00]; =0.016), tripled in the presence of elevated plasma B-type natriuretic peptide (HR, 3.29 [95% CI, 1.52‒7.11]; =0.006), and increased by 5% for every 10-unit increase in left ventricular end-systolic volume (HR, 1.01 [95% CI, 1.00‒1.01]; =0.041). Conclusions The risk of adverse clinical events is increased in the presence of significant compacted myocardial thinning, an elevated B-type natriuretic peptide or increased left ventricular dimensions. The combination of these markers may enhance risk assessment to minimize left ventricular non-compaction overdiagnosis whilst facilitating appropriate diagnoses in those with true disease.

Citing Articles

Prognostic prediction of left ventricular myocardial noncompaction using machine learning and cardiac magnetic resonance radiomics.

Han P, Jiang Z, Gu R, Huang S, Jiang Y, Yang Z Quant Imaging Med Surg. 2023; 13(10):6468-6481.

PMID: 37869344 PMC: 10585548. DOI: 10.21037/qims-23-372.


Can left ventricular entropy by cardiac magnetic resonance late gadolinium enhancement be a prognostic predictor in patients with left ventricular non-compaction?.

Ma Y, Wang L, Zhao X, Zheng Y, Sha L, Zhao X Diagn Interv Radiol. 2023; 29(5):682-690.

PMID: 36995015 PMC: 10679546. DOI: 10.4274/dir.2023.221859.


Three-dimensional Whole-Heart Cardiac MRI Sequence for Measuring Trabeculation in Left Ventricular Noncompaction.

Polacin M, Karolyi M, Wilzeck V, Eberhard M, Gotschy A, Alkadhi H Radiol Cardiothorac Imaging. 2023; 4(6):e220109.

PMID: 36601458 PMC: 9806726. DOI: 10.1148/ryct.220109.


Certainties and Uncertainties of Cardiac Magnetic Resonance Imaging in Athletes.

Szabo L, Brunetti G, Cipriani A, Juhasz V, Graziano F, Hirschberg K J Cardiovasc Dev Dis. 2022; 9(10).

PMID: 36286312 PMC: 9604894. DOI: 10.3390/jcdd9100361.


Machine learning techniques for arrhythmic risk stratification: a review of the literature.

Chung C, Bazoukis G, Lee S, Liu Y, Liu T, Letsas K Int J Arrhythmia. 2022; 23.

PMID: 35449883 PMC: 9020640. DOI: 10.1186/s42444-022-00062-2.


References
1.
Sharain K, Anavekar N . Outcomes in Left Ventricular Noncompaction: Heterogeneity in Results or Heterogeneity in Diagnosing a Heterogeneous Disease?. Circ Cardiovasc Imaging. 2020; 13(1):e010268. DOI: 10.1161/CIRCIMAGING.119.010268. View

2.
Arbustini E, Favalli V, Narula N, Serio A, Grasso M . Left Ventricular Noncompaction: A Distinct Genetic Cardiomyopathy?. J Am Coll Cardiol. 2016; 68(9):949-66. DOI: 10.1016/j.jacc.2016.05.096. View

3.
Aung N, Doimo S, Ricci F, Sanghvi M, Pedrosa C, Woodbridge S . Prognostic Significance of Left Ventricular Noncompaction: Systematic Review and Meta-Analysis of Observational Studies. Circ Cardiovasc Imaging. 2020; 13(1):e009712. PMC: 7012350. DOI: 10.1161/CIRCIMAGING.119.009712. View

4.
Kawel-Boehm N, Maceira A, Valsangiacomo-Buechel E, Vogel-Claussen J, Turkbey E, Williams R . Normal values for cardiovascular magnetic resonance in adults and children. J Cardiovasc Magn Reson. 2015; 17:29. PMC: 4403942. DOI: 10.1186/s12968-015-0111-7. View

5.
Ramchand J, Podugu P, Obuchowski N, Harb S, Chetrit M, Milinovich A . Novel Approach to Risk Stratification in Left Ventricular Non-Compaction Using A Combined Cardiac Imaging and Plasma Biomarker Approach. J Am Heart Assoc. 2021; 10(8):e019209. PMC: 8174181. DOI: 10.1161/JAHA.120.019209. View