Clinical prediction model for primary aldosteronism subtyping and special focus on adrenal volumetric assessment

Purpose Our aim was to develop a prediction model based on a simple score with clinical, laboratory, and imaging findings for the subtype diagnosis of primary aldosteronism (PA). The contribution of adrenal volumetric assessment to PA subtyping was also investigated. Methods Thirty-five patients wit...

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Veröffentlicht in:Hormones (Athens, Greece) Greece), 2024-09, Vol.23 (3), p.575-584
Hauptverfasser: Barlas, Tugba, Ilgit, Erhan Turgut, Akkan, Mehmet Koray, Cindil, Emetullah, Gultekin, Isil Imge, Sodan, Hulya Nur, Yalcin, Mehmet Muhittin, Cerit, Ethem Turgay, Sozen, Sinan, Akturk, Mujde, Toruner, Fusun, Karakoc, Ayhan, Altinova, Alev Eroglu
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Sprache:eng
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Zusammenfassung:Purpose Our aim was to develop a prediction model based on a simple score with clinical, laboratory, and imaging findings for the subtype diagnosis of primary aldosteronism (PA). The contribution of adrenal volumetric assessment to PA subtyping was also investigated. Methods Thirty-five patients with adequate cannulation in adrenal venous sampling (AVS) were included. Laboratory data, the saline infusion test (SIT), and the AVS results of patients with PA were retrospectively evaluated. Volumetric assessment was performed using magnetic resonance imaging (MRI) and the ratio of adrenal volumes was calculated after adjusting for gender- and side-specific mean reference values of both adrenal glands. Results The AVS was consistent with unilateral PA in 49% and bilateral in 51% of the patients. Hypertension as a reason for work-up, the highest aldosterone/lowest potassium value higher than 12, the percentage of plasma aldosterone concentration (PAC) reduction after SIT by equal or less than 43.5%, the use of oral potassium replacement, unilateral disease at pre-AVS imaging, and a ratio of adjusted adrenal volumes equal to or below 1.7 were indicative of unilateral disease in univariate logistic regression analysis concerning the distinction of PA subtyping ( p  
ISSN:1109-3099
2520-8721
2520-8721
DOI:10.1007/s42000-024-00548-9