A novel risk score to predict survival in advanced heart failure due to cardiac amyloidosis

Michael M Kreusser1,2, Martin J Volz3, Benjamin Knop3

  • 1Division of Cardiology, Department of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany. Michael.kreusser@med.uni-heidelberg.de.

Insights

A new "HeiRisk" score accurately predicts outcomes in advanced cardiac amyloidosis (AL and ATTR). This risk stratification tool, using troponin T and pulmonary artery pressure, improves upon existing models for heart failure patients.

Area of Science:

  • Cardiology
  • Cardiovascular Research
  • Medical Diagnostics

Background:

  • Cardiac amyloidosis, including immunoglobulin light chain (AL) and transthyretin (ATTR) types, is associated with poor prognosis.
  • Existing risk scores may not accurately predict outcomes for patients with advanced heart failure due to amyloidosis, particularly those awaiting heart transplantation.
  • This study aimed to identify novel predictive parameters for severe heart failure in cardiac amyloidosis patients.

Purpose of the Study:

  • To identify predictive parameters for outcomes in patients with severe heart failure caused by cardiac amyloidosis (AL and ATTR types).
  • To develop and validate a novel risk score for risk stratification in this patient population.
  • To compare the performance of the new risk score against established models.

Main Methods:

  • Retrospective analysis of 120 cardiac amyloidosis patients (AL or ATTR) with complete cardiac assessments, including right heart catheterization, echocardiography, and biomarkers.
  • Univariate and multivariate Cox regression analyses were performed to identify independent predictors of all-cause mortality.
  • A new risk score,
  • HeiRisk
  • , was generated using identified parameters and compared to existing risk models.

Main Results:

  • For AL amyloidosis, high-sensitivity troponin T (hsTnT) and mean pulmonary artery pressure were significant independent predictors of outcomes.
  • For ATTR amyloidosis, QRS duration, hsTnT, and N-terminal pro-brain natriuretic peptide were the strongest predictors.
  • The developed
  • HeiRisk
  • score demonstrated more precise risk stratification compared to established models in the studied cohort.

Conclusions:

  • The newly developed
  • HeiRisk
  • score offers a potentially superior method for risk stratification in patients with advanced heart failure due to cardiac amyloidosis.
  • This score may enhance clinical decision-making and patient management for individuals with severe cardiac amyloidosis.
Abstract

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