Adrenal Referral Pattern: Management of Patients With an Adrenal Incidentaloma

Introduction: Adrenal incidentalomas (AIs) are found in 3%-4% of abdominal computed tomography scans. Timely evaluation of their functional status and malignant potential is necessary to guide nonoperative surveillance or surgery. This study aims to evaluate the adherence of referring service patterns to the American Association of Endocrine Surgeons and American Association of Clinical Endocrinologists guidelines for the biochemical workup of AIs at a tertiary surgical clinic. Methods: We conducted a retrospective study of 125 patients evaluated for AIs at the endocrine surgery clinic between 2017 and 2022. Information on patient demographics, referral source, and reasons for referral was collected. The appropriateness of the biochemical workup for AIs by referring physicians was assessed. Statistical analyses included chi-square and Kruskal-Wallis tests. Results: Referrals came from endocrinologists (44.8%), other subspecialists (31.2%), and primary care physicians (PCPs) (19.2%). Among 125 patients, diagnoses included benign adrenal masses (52.8%), aldosteronomas (10.4%), cortisol-secreting tumors (15.2%), pheochromocytomas (12.8%), and metastatic masses (4.0%). Endocrinologists were more likely to conduct a complete biochemical workup compared to other subspecialties and PCPs (P < 0.001). Eighty-three (66.4%) patients underwent adrenalectomy, with those referred by endocrinologists more likely to undergo surgery than those referred by other subspecialties and PCPs (P < 0.001). There was no significant difference in the time from the initial clinic visit to surgery by referral source (P > 0.05). Conclusions: Over half of AIs referrals to the endocrine surgery clinic came from subspecialists and PCPs rather than endocrinologists. Familiarizing all referring physicians with American Association of Endocrine Surgeons/Association of Clinical Endocrinologists guidelines may reduce undiagnosed functional AI cases and facilitate timely surgical management. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI