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Updated: Jul 4, 2025

Genetic Analysis of Hereditary Transthyretin Ala97Ser Related Amyloidosis
Published on: June 9, 2018
Multiorgan Dysfunction and Associated Prognosis in Transthyretin Cardiac Amyloidosis
Adam Ioannou1, Christian Nitsche1, Aldostefano Porcari1,2
1National Amyloidosis Centre University College London London United Kingdom.
Insights
Blood biomarker abnormalities are common in transthyretin cardiac amyloidosis (ATTR-CA) and independently predict mortality. Targeting these markers may improve outcomes in this progressive heart failure condition.
Area of Science:
- Cardiology
- Biomarkers
- Amyloidosis
Background:
- Transthyretin cardiac amyloidosis (ATTR-CA) is a fatal cardiomyopathy.
- The prognostic significance of multiorgan dysfunction biomarkers in ATTR-CA is poorly understood.
Purpose of the Study:
- To characterize ATTR-CA using blood biomarkers.
- To assess the association between these biomarkers and patient prognosis.
Main Methods:
- Retrospective cohort study of 2566 ATTR-CA patients (2007-2023).
- Analysis of common blood biomarkers including urea, alkaline phosphatase, troponin, and C-reactive protein.
- Multivariable Cox regression to determine independent predictors of mortality.
Main Results:
- Anemia, high urea, hyperbilirubinemia, elevated alkaline phosphatase, and troponin were prevalent.
- These abnormalities were more common in p.(V142I) hereditary ATTR-CA and with increased cardiac disease severity.
- Anemia, high urea, hyperbilirubinemia, elevated alkaline phosphatase, hyponatremia, and high troponin-T independently predicted mortality.
Conclusions:
- Biomarker abnormalities are common in ATTR-CA, reflecting its complex nature.
- Several biomarkers are independently associated with mortality in ATTR-CA patients.
- Further clinical trials are needed to explore if targeting these biomarkers can improve outcomes.
Background:
Transthyretin cardiac amyloidosis (ATTR-CA) is a progressive and ultimately fatal cardiomyopathy. Biomarkers reflecting multiorgan dysfunction are of increasing importance in patients with heart failure; however, their significance in ATTR-CA remains largely unknown. The aims of this study were to characterize the multifaceted nature of ATTR-CA using blood biomarkers and assess the association between blood biomarkers and prognosis.
Methods And Results:
This is a retrospective cohort study of 2566 consecutive patients diagnosed with ATTR-CA between 2007 and 2023. Anemia (39%), high urea (52%), hyperbilirubinemia (18%), increased alkaline phosphatase (16%), increased CRP (C-reactive protein; 27%), and increased troponin (98.2%) were common findings in the overall population, whereas hyponatremia (6%) and hypoalbuminemia (2%) were less common. These abnormalities were most common in patients with p.(V142I) hereditary ATTR-CA, and became more prevalent as the severity of cardiac disease increased. Multivariable Cox regression analysis demonstrated that anemia (hazard ratio [HR], 1.19 [95% CI, 1.04-1.37]; P=0.01), high urea (HR, 1.23 [95% CI, 1.04-1.45]; P=0.01), hyperbilirubinemia (HR, 1.32 [95% CI, 1.13-1.57; P=0.001), increased alkaline phosphatase (HR, 1.20 [95% CI, 1.01-1.42; P=0.04), hyponatremia (HR, 1.65 [95% CI, 1.28-2.11]; P<0.001), and troponin-T >56 ng/L (HR, 1.72 [95% CI, 1.46-2.03]; P<0.001) were all independently associated with mortality in the overall population. The association between biomarkers and mortality varied across the spectrum of genotypes and left ventricular ejection fraction, with anemia remining independently associated with mortality in p.(V142I) hereditary ATTR-CA (HR, 1.58 [95% CI, 1.17-2.12]; P=0.003) and in a subgroup of the overall population with a left ventricular ejection fraction ≤40% (HR, 1.39 [95% CI, 1.08-1.81]; P=0.01).
Conclusions:
Cardiac and noncardiac biomarker abnormalities were common and reflect the complex and multifaceted nature of ATTR-CA, with a wide range of biomarkers remaining independently associated with mortality. Clinical trials are needed to investigate whether biomarker abnormalities represent modifiable risk factors that if specifically targeted could improve outcomes.
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