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Published online: 2025-03-14

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The relationship between mild autonomous cortisol secretion and metabolic diseases in cases with adrenal incidentaloma

Beril Turan Erdogan1, Berna Evranos Ogmen2, Muhammed Sacikara1, Cevdet Aydin2, Oya Topaloglu2, Reyhan Ersoy2, Bekir Cakir2

Abstract

Introduction: This study investigates the link between mild autonomous cortisol secretion (MACS) in adrenal incidentaloma (AI) patients and the occurrence and severity of cardiovascular and metabolic comorbidities. It aims to provide a detailed overview of this relationship, highlight gaps in current research, and propose directions for future studies.

Material and methods: We conducted a retrospective analysis at Ankara City Hospital’s Endocrine Department outpatient clinic, reviewing 627 AI patients from February 2019 to May 2021. The study involved a detailed analysis of clinical records, hormonal evaluations, and imaging, focusing on differentiating MACS from non-functioning adrenal incidentalomas (NFAI) and examining the impact of MACS on associated health conditions.

Results: The study found that MACS patients had a statistically higher incidence of diabetes mellitus (35% vs. 20%), hypertension (60% vs. 45%), hyperlipidaemia (40% vs. 25%), and coronary artery disease (30% vs. 15%) compared to the NFAI group. Independent predictors of MACS included the presence of bilateral adrenal masses, larger adrenal mass diameter (with a cutoff value of ≥ 18.5 mm, showing 83% sensitivity and 56% specificity for predicting MACS, and lower dehydroepiandrosterone sulphate (DHEAS) levels (≤ 49.31 μg/dL predicting MACS, with 61% sensitivity and 73% specificity).

Conclusion: This research underscores the critical clinical implications of detecting MACS in AI patients, particularly its association with increased cardiovascular and metabolic risks. It calls for vigilant screening and a comprehensive management approach for affected patients. Additionally, the findings highlight the need for further studies to improve patient care and outcomes in this population.

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