Cardiac Amyloid Load: A Prognostic and Predictive Biomarker in Patients With Light-Chain Amyloidosis

Arnt V Kristen1, Eva Brokbals1, Fabian Aus dem Siepen1

  • 1Department of Cardiology, Angiology, and Respiratory Medicine, University of Heidelberg, Heidelberg, Germany.

Insights

In amyloid light-chain (AL) amyloidosis, higher amyloid load predicts mortality. Chemotherapy improves survival, especially in patients with less than 20% amyloid load who respond to treatment. Early identification is key.

Area of Science:

  • Cardiology
  • Oncology
  • Pathology

Background:

  • Cardiac amyloid load's impact on mortality in amyloid light-chain (AL) cardiac amyloidosis remains unquantified.
  • This study addresses the gap by comparing histological amyloid load with established clinical mortality predictors.

Purpose of the Study:

  • To retrospectively analyze the correlation between histological cardiac amyloid load and mortality in patients with AL amyloidosis.
  • To identify independent predictors of mortality in AL amyloidosis and transthyretin amyloidosis (ATTR).

Main Methods:

  • Retrospective analysis of 216 patients with histologically confirmed cardiac amyloidosis.
  • Assessment included electrocardiography, echocardiography, laboratory testing, and histological amyloid load quantification.
  • Multivariate and Cox regression analyses were used to identify predictors of survival.

Main Results:

  • Chemotherapy significantly improved overall survival in AL amyloidosis (16.2 months vs. 1.4 months).
  • Amyloid load, NYHA functional class, and response to chemotherapy were independent predictors of mortality in AL amyloidosis.
  • NYHA functional class (III vs. II) was the sole independent predictor of survival in ATTR amyloidosis.

Conclusions:

  • Early identification of AL amyloidosis is crucial for effective treatment.
  • In advanced AL amyloidosis with extensive amyloid load, chemotherapy may not significantly alter outcomes.
  • Amyloid load is a significant prognostic factor in AL amyloidosis.
Abstract

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