Identifying factors associated with subsequent diagnosis of adrenal adenoma: a population-based historical case–control study
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: The objective of this study is to identify social/metabolic risk factors associated with subsequent diagnosis of adrenal adenoma. DESIGN: The design is a population-based historical case-control study. METHODS: Cases were adult patients diagnosed with an adrenal adenoma between 2005 and 2017 with no overt hormone excess. Controls were age- and sex-matched individuals with (1) no diagnosis of adrenal adenoma and (2) no diagnosis of adrenal adenoma with cross-sectional imaging of the chest/abdomen performed within 5 years prior to index date. The frequency of various social/metabolic risk factors present 5-10 years prior to index date and odds ratios (ORs) for adrenal adenoma diagnosis were reported. RESULTS: Six hundred seventy cases identified (median age 63 years old, 56% women). During the 5-10 years prior to index date, patients with adrenal adenomas had higher prevalence of obesity (56.7% vs 49.3%, P = .007), low socioeconomic status (36.7% vs 31.1%, P = .039), tobacco use (70.2% vs 61.4%, P = .001), and diabetes (17.5% vs 11.7%, P = .003) compared to controls with prior imaging. No difference in prevalence of hypertension, substance use, chronic kidney disease, or combined cardiovascular events was observed. Based on a multivariable analysis, increased body mass index (BMI) and tobacco use were associated with increased odds of adrenal adenoma diagnosis with ORs 1.18 (95% confidence interval [CI] 1.07-1.32) and 1.41 (95% CI 1.06-1.87), respectively. CONCLUSIONS: Compared to controls with prior imaging, patients with adrenal adenoma had higher prevalence of obesity, low socioeconomic status, tobacco use, and diabetes 5-10 years prior to index date. In particular, increased BMI and tobacco use were independent risk factors associated with increased odds of adrenal adenoma diagnosis.
Institution: Mayo Clinic
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funder: National Institute on Aging
Awards: G5772772772, G6842982902
OpenAlex ID: W4414083322
