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ea0099oc11.4 | Oral Communications 11: Adrenal and Cardiovascular Endocrinology | Part II | ECE2024

Machine learning-based differentiation of uni- and bilateral primary aldosteronism using circulating microRNA combinations

Vekony Balint , Nyirő Gabor , Herold Zoltan , Fekete Janos , Ceccato Filiipo , Gruber Sven , Kurzinger Lydia , Parasiliti-Caprino Mirko , Szucs Nikolette , Szeredas Balint , Nazri Siti Khadija Syed Mohammed , Fell Vanessa , Bassiony Mohamed , Azizan Elena A B Aisha , Bancos Irina , Beuschlein Felix , Igaz Peter

Background: Primary aldosteronism (PA) is the most prevalent cause of secondary hypertension. Its two main clinical forms are unilateral adenoma (APA) and bilateral hyperplasia (BAH), which require markedly different medical treatments, so differentiating between the two is of utmost clinical importance. The current gold standard method for this is adrenal vein sampling (AVS), the application of which is hindered by limited availability and high skill requirements.AimOur goal ...

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Machine learning-based differentiation of uni- and bilateral primary aldosteronism using circulating microRNA combinations

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