Endocrine Abstracts

Background: Adrenal masses are detected in 5-7% of adults. The European guidelines on managing adrenal incidentalomas published in 20161 have standardised the management of these patients. However, evidence of the guidelines’ impact on clinical care is still lacking.Methods: We conducted a retrospective, comprehensive review of clinical presentation, radiological characteristics, final diagnosis, and outcome of a large cohort of patients ...

Background: Adrenal tumours are found in 3-7% of adults. The European guidelines on management of adrenal incidentalomas (first published in 2016 and recently updated) have standardised the management of these patients, but evidence of guideline impact on clinical care is lacking.Methods: Retrospective review of the mode of presentation, radiological characteristics and final diagnosis of a large cohort of patients with ...

Introduction: Up to 3-7% of adults have an adrenal incidentaloma. These are most frequently non-functioning adenomas (NFA) but can be associated with adrenal hormone excess. According to the ESE-ENSAT guidelines on adrenal incidentalomas (2016), an accurate endocrine work-up is recommended.Methods: We provide an extensive retrospective analysis of patients with adrenal tumours referred to a large UK tertiary centre betwe...

Background: Hypertension affects more than 30% of the adult population worldwide and is a major cardiovascular risk factor. Identifying secondary causes of hypertension is key to offering targeted treatment and mitigating adverse health outcomes. We tested the performance of urine steroid metabolomics (USM), the computational analysis of 24-hour urine steroid metabolome data by machine learning, for diagnosing endocrine hypertension.<str...

Background: Hypertension affects more than 30% of the adult population worldwide and is a major cardiovascular risk factor. Identifying secondary causes of hypertension is key to offering targeted treatments and mitigating adverse health outcomes. We tested the performance of urine steroid metabolomics (USM), the computational analysis of 24-hour urine steroid metabolome data by machine learning, for diagnosing endocrine forms of hypertension.Methods: 14...