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Published on: October 14, 2016
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.
Background:
Cardiac amyloidosis, caused by deposition of immunoglobulin light chains (AL) or transthyretin (ATTR), carries a poor prognosis. Established risk scores for amyloidosis may not predict outcomes in those patients who develop advanced heart failure and who are potential candidates for heart transplantation. Here, we aimed to identify predictive parameters for patients with severe heart failure due to amyloidosis.
Methods:
Out of > 1000 patients with cardiac amyloidosis (AL or ATTR) admitted to our centre between September 1998 and January 2016, a cohort of 120 patients with a complete cardiac assessment at diagnosis, including right heart catheterization, echocardiography and biomarkers, was analysed retrospectively in this study. Primary endpoint was all-cause mortality. We performed univariate and multivariate Cox regression analysis, generated risk scores to predict outcomes in AL and ATTR amyloidosis and compared those to established risk models for amyloidosis.
Results:
In the Cox multivariate model, high-sensitivity troponin T (hsTnT; hazard ratio (HR) 1.003; confidence interval (CI) 1.001-1.005; p = 0.009) and mean pulmonary artery pressure (HR 1.061; CI 1.024-1.100; p = 0.001) were found to significantly and independently predict outcomes for AL amyloidosis, whereas QRS duration (HR 1.021; CI 1.004-1.039; p = 0.013), hsTnT (HR 1.021; CI 1.006-1.036; p = 0.006) and N-terminal pro-brain natriuretic peptide (HR 1.0003; CI 1.0001-1.0004; p = 0.002) were the best predictors for ATTR amyloidosis. A simple risk score ("HeiRisk") including these parameters for AL and ATTR allowed a more precise risk stratification in our patient population compared to established risk models.
Conclusions:
Risk stratification for cardiac amyloidosis with the newly developed "HeiRisk" score may be superior to other staging systems for patients with advanced heart failure due to amyloid cardiomyopathy.
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