Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism.

Background: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of secondary hypertension, is crucial due to different treatment approaches. While adrenal venous sampling is the gold standard, its invasiveness, limited availability, and often difficult interpretation pose challenges. This study explores the utility of circulating microRNAs (miRNAs) and machine learning in distinguishing between unilateral and bilateral forms of primary aldosteronism.

Identifying 5 Mutation in Aldosterone-Producing Adenoma Patients With Baseline Characteristics Using Machine Learning Technology.

Background: Primary aldosteronism is characterized by inappropriate aldosterone production, and unilateral aldosterone-producing adenoma (uPA) is a common type of PA. 5 mutation is a protective factor in uPA; however, there is no preoperative approach to detect 5 mutation in patients with uPA.

Objectives: This study aimed to provide a personalized surgical recommendation that enables more confidence in advising patients to pursue surgical treatment.