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Bridging the gap between hypertrabeculation phenotype, noncompaction phenotype and left ventricular noncompaction
Vittoria Vergani1, Davide Lazzeroni2, Giovanni Peretto3
1Department of Clinical Cardiology, IRCCS San Raffaele Hospital and University.
Journal of Cardiovascular Medicine (Hagerstown, Md.)
|January 3, 2020
Summary
Left ventricular noncompaction (LVNC) is a heart condition with excessive trabeculation. This review offers a diagnostic algorithm to differentiate LVNC from benign hypertrabeculation, aiding clinical decision-making.
Area of Science:
- Cardiology
- Cardiovascular Medicine
- Medical Diagnostics
Background:
- Left ventricular noncompaction (LVNC) is a cardiomyopathy defined by excessive cardiac trabeculation and deep recesses.
- While hypertrabeculation is linked to heart failure and arrhythmias, it alone does not confirm LVNC.
- Current diagnostic tools are insufficient to distinguish between asymptomatic hypertrabeculation and actual LVNC.
Purpose of the Study:
- To review existing literature on diagnostic criteria for LVNC.
- To develop a practical diagnostic algorithm for differentiating LVNC phenotypes.
- To aid clinicians in distinguishing between hypertrabeculation, non-compaction phenotype, and LVNC cardiomyopathy.
Main Methods:
- Comprehensive literature review of studies on LVNC diagnostic criteria.
- Analysis of parameters used to predict adverse cardiovascular events in LVNC.
- Development of a simplified diagnostic algorithm based on reviewed criteria.
Main Results:
- Hypertrabeculation alone is not a definitive diagnostic marker for LVNC.
- Existing literature lacks clear consensus on differentiating LVNC from hypertrabeculation.
- An accessible algorithm is proposed to aid in clinical differentiation.
Conclusions:
- A clear distinction between hypertrabeculation and LVNC is crucial for accurate diagnosis and risk stratification.
- The proposed algorithm aims to provide physicians with an effective tool for LVNC diagnosis.
- Further validation of the diagnostic algorithm is warranted to improve patient outcomes.
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