Clinical Risk Prediction in Patients With Left Ventricular Myocardial Noncompaction

Guillem Casas1, Javier Limeres2, Gerard Oristrell1

  • 1Cardiology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut de Recerca, Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares, Madrid, Spain.

Insights

Left ventricular noncompaction (LVNC) increases risks for heart failure and arrhythmias. A validated prediction model using clinical factors and imaging can identify patients with no major adverse cardiovascular events (MACE).

Area of Science:

  • Cardiology
  • Cardiovascular Imaging
  • Clinical Prediction Models

Background:

  • Left ventricular noncompaction (LVNC) is a complex heart muscle disease with an unpredictable prognosis.
  • Understanding risk factors and outcomes in LVNC is crucial for patient management.

Purpose of the Study:

  • To develop and validate a prediction model for major adverse cardiovascular events (MACE) in patients with LVNC.
  • To identify characteristics of LVNC patients who remain event-free during long-term follow-up.

Main Methods:

  • Retrospective, longitudinal, multicenter cohort study of 585 LVNC patients.
  • MACE defined as heart failure, ventricular arrhythmias, systemic embolisms, or all-cause mortality.
  • Prediction model developed using Cox regression and validated externally.

Main Results:

  • MACE occurred in 38% of patients over a median of 5.1 years.
  • Left ventricular ejection fraction (LVEF) was the strongest predictor of MACE.
  • Late gadolinium enhancement (LGE) added risk information for MACE in patients with preserved LVEF.
  • A prediction model achieved a C-index of 0.72 in validation.

Conclusions:

  • LVNC is associated with significant risks of heart failure and ventricular arrhythmias.
  • LVEF is a primary MACE predictor, with LGE providing additional prognostic value.
  • A validated risk prediction model can aid in managing LVNC patients.
Abstract

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