DPD quantification correlates with ECV and disease severity in patients with ATTR-CM
Abstract Background The pathophysiological hallmark of transthyretin amyloid cardiomyopathy (ATTR-CM) is the deposition of amyloid within the myocardium. However, the association between myocardial amyloid load and quantitative cardiac 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid (99mTc-DPD) uptake is barely investigated. Purpose We aimed to investigate the relationship between quantitative cardiac 99mTc-DPD uptake and myocardial amyloid load, assessed by extracellular volume (ECV) on cardiac magnetic resonance (CMR) imaging, along with cardiac function in patients with ATTR-CM. Methods Forty ATTR-CM patients underwent 99mTc-DPD single-photon emission computed tomography/computed tomography (SPECT/CT) and CMR imaging. Results We observed significant correlations (r, Spearman's correlation coefficient) between the standardized uptake value (SUV) retention index and myocardial amyloid load (ECV: r=0.677, p<0.001; native T1 time: r=0.430, p=0.006), longitudinal cardiac function [right ventricular longitudinal strain (RV-LS): r=0.472, p=0.002], cardiac biomarkers (NT-proBNP: r=0.543, p<0.001; troponin T: r=0.401, p=0.011), exercise capacity [6-min walking distance (6MWD): r=-0.410, p=0.010] and disease stage [National Amyloidosis Centre (NAC) ATTR stage: r=0.479, p=0.002]. ATTR-CM patients were divided into two cohorts based on the median of the SUV retention index (low cardiac uptake: <5.19 mg/dL, n=20; high cardiac uptake: ≥5.19 mg/dL, n=20). We observed significant between-cohort differences in terms of ECV (p<0.001), native T1 time (p=0.011), RV-LS (p=0.007), NT-proBNP (p<0.001), troponin T (p=0.030), 6MWD (p=0.002) and NAC ATTR stage (I: p<0.001, II: p=0.030, III: p=0.021). Conclusions In ATTR-CM, quantitative cardiac 99mTc-DPD uptake correlates with myocardial amyloid load, longitudinal cardiac function, cardiac biomarkers, exercise capacity, and disease stage. DPD quantification may provide a valuable tool for quantifying and monitoring cardiac disease burden in affected individuals.Table.Baseline Characteristics.Figure.Correlations.
Authors
- Christian Hengstenberg (ORCID: https://orcid.org/0000-0002-8284-2994)
- M. Hacker
- Christoph Nitsche
- Raffaella Calabretta (ORCID: https://orcid.org/0000-0002-8018-3884)
- Carolina Donà (ORCID: https://orcid.org/0000-0002-6723-005X)
- Roza Badr Eslam (ORCID: https://orcid.org/0000-0002-0360-2360)
- Robin Willixhofer (ORCID: https://orcid.org/0000-0003-3405-5715)
- Andreas Kammerlander (ORCID: https://orcid.org/0000-0002-3061-5570)
- Franz Duca (ORCID: https://orcid.org/0000-0002-7519-5274)
- Jutta K Bergler-Klein (ORCID: https://orcid.org/0000-0003-2591-1380)
- Christina Kronberger (ORCID: https://orcid.org/0000-0002-3866-3710)
- Carina Binder (ORCID: https://orcid.org/0000-0002-6797-9511)
- René Rettl (ORCID: https://orcid.org/0000-0001-6409-5158)
- Dietrich Beitzke (ORCID: https://orcid.org/0009-0003-2573-9426)
- C Loewe
Institutions
- Medical University of Vienna (AT)
Publication Details
- Journal
- European Heart Journal
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1093/eurheartj/ehae666.2072
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00