hrp0098rfc4.6 | Adrenals and HPA Axis 1 | ESPE2024

Machine Learning-Based Decision Tree Model for the Diagnosis of Congenital Disorders of Adrenal Steroidogenesis Using LC-MS/MS-based Plasma Steroid Hormone Profiles

Noyan Erçetin Atam , Gurpinar Tosun Busra , Kirkgoz Tarik , Yavas Abali Zehra , Eltan Mehmet , Akbarzade Azad , Yaman Ali , Turan Serap , Bereket Abdullah , Yalcin Arga Kazim , Guran Tulay

Background: Congenital disorders of adrenal steroidogenesis (CDAS) result in various adverse clinical outcomes including adrenal insufficiency, hypertension, androgen excess, or differences in sex development, depending on the specific enzyme deficiency involved. Rapid and precise diagnosis of these conditions facilitates improved short-term and long-term clinical management. The requirement for clinical expertise may lead to delays in the diagnostic process.<...