Laminopathies: natural history and risk prediction of heart failure

Philippe Charron1,2,3, Julie Proukhnitzky1,2,3, Rabah Ben Yaou4,5

  • 1Sorbonne University, APHP, Department of Genetics, Centre de Référence des Maladies Cardiaques Héréditaires ou rares, INSERM UMRS 1166, Institute of Cardiometabolism and Nutrition (ICAN), Pitié-Salpêtrière Hospital, 47 bvd de l'Hôpital, Paris 75013, France.

PubMed

Insights

A new prediction model identifies severe heart failure (HF) events in patients with LMNA gene variants. This tool aids in early detection and management of HF-major adverse cardiac events (HF-MACE) in individuals with laminopathies.

Area of Science:

  • Cardiology
  • Genetics
  • Predictive Modeling

Background:

  • Patients with LMNA gene variants face high risks of dilated cardiomyopathy and heart failure (HF).
  • No existing prediction models specifically address severe HF events in adult-onset laminopathies.

Purpose of the Study:

  • To determine the incidence of severe HF events in adult laminopathy patients.
  • To develop and validate a prediction model for HF-major adverse cardiac events (HF-MACE).

Main Methods:

  • Utilized data from the French LMNA nationwide registry (470 patients) and an international validation cohort (245 patients).
  • Assessed baseline characteristics and calculated cumulative incidence of HF-MACE (HF hospitalization, death, mechanical support, or transplantation).
  • Employed a Fine-Gray competing risk model to identify predictors, excluding patients with baseline left ventricular ejection fraction (LVEF) <30%.

Main Results:

  • Identified four independent predictors of HF-MACE: male sex, LVEF <50%, missense variants in head/rod domains, and complete left bundle branch block.
  • The model achieved a C-index of 0.750 in the derivation cohort and 0.758 in the validation cohort.
  • The 5-year cumulative incidence of HF-MACE varied significantly based on the number of risk factors (0, 1, or ≥2).

Conclusions:

  • Developed the first prediction model for severe HF events in adult laminopathies.
  • This model can aid in early identification and optimized preventive strategies for at-risk patients.
Abstract

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