{"title":"The relationship between mild autonomous cortisol secretion and metabolic diseases in cases with adrenal incidentaloma.","authors":"Beril Turan Erdogan, Berna Evranos Ogmen, Muhammed Sacikara, Cevdet Aydin, Oya Topaloglu, Reyhan Ersoy, Bekir Cakir","doi":"10.5603/ep.102786","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Material and methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":93990,"journal":{"name":"Endokrynologia Polska","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endokrynologia Polska","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5603/ep.102786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.