Abstract 16377: 68Ga-DOTATATE Measurements Predict Progression of Aortic Valve Calcification in Humans
Wesam Aldosoky, Guillaume GOUDOT, Shady Abohashem, Simran Grewal, Iqra Qamar, Erin Hanlon, Omar Alani, Giovanni Civieri, Charbel Gharios, Michael Osborne, marc dweck, Pedram Heidari, Ahmed A Tawakol- Physiology (medical)
- Cardiology and Cardiovascular Medicine
Introduction: Aortic valve (AV) inflammation contributes to calcification (AVca). 68Ga-DOTATATE (GADT), a positron emission tomography (PET) tracer that binds to somatostatin receptors, has emerged as a reliable marker for tissue inflammation. However, the diagnostic and prognostic value of AV GADT uptake in AVca remains unexplored.
Hypothesis: We aim to investigate the relationships between baseline AV GADT uptake with baseline AVca and its progression.
Methods: A total of 698 individuals (median age 63, 46% male) underwent clinical GADT PET/computed tomography (CT) imaging from 2017 to 2023; 245 had follow-up scans (median 1.3 yrs interval). AV inflammation was measured as the maximum standardized uptake value of GADT uptake within the AV on baseline PET/CT. AVca was quantified in baseline and follow-up CT scans (HU>130). AVca progression was assessed as the difference between baseline and follow-up AVca. Individuals with a square root difference of annualized AVca change ≥ 2.5 were characterized as “progressors” and <2.5 as “non-progressors”. Demographic and clinical data were collected from medical records.
Results: Baseline AV GA DT correlated with baseline AVca (standardized β=0.11; p=0.004; Fig 1A ). Further, baseline AV GA DT associated with AVca progression (odds ratio [95% confidence interval]=3.1 [1.5, 6.6]; p=0.003, Fig 1B ) and remained significant after separately adjusting for baseline AVca (3.8 [1.1, 13.8]), hypertension (2.8 [1.3, 6.2]), diabetes (3.0 [1.4, 6.3]), hyperlipidemia (2.4 [1.0, 5.3]), smoking (3.1 [1.5, 6.7]), and chronic kidney disease (2.9 [1.4, 6.3]), but became borderline with adjustment for age and sex (2.4 [0.9, 5.9]; p=0.054; Fig 1C ).
Conclusions: Our study highlights the use of GADT for assessing AV inflammation and predicting AVca progression. These findings underscore the role of inflammation in driving AVca progression and have potential implications for risk assessment and evaluating therapies in AV disease.