Plasma Steroid Profiling in Patients With Adrenal Incidentaloma.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
17 02 2022
Historique:
received: 08 07 2021
pubmed: 20 10 2021
medline: 3 3 2022
entrez: 19 10 2021
Statut: ppublish

Résumé

Most patients with adrenal incidentaloma have nonfunctional lesions that do not require treatment, while others have functional or malignant tumors that require intervention. The plasma steroid metabolome may be useful to assess therapeutic need. This work aimed to establish the utility of plasma steroid profiling combined with metanephrines and adrenal tumor size for the differential diagnosis of patients with adrenal incidentaloma. This retrospective cross-sectional study, which took place at 7 European tertiary-care centers, comprised 577 patients with adrenal incidentaloma, including 19, 77, 65, 104 and 312 respective patients with adrenocortical carcinoma (ACC), pheochromocytoma (PHEO), primary aldosteronism (PA), autonomous cortisol secretion (ACS), and nonfunctional adrenal incidentaloma (NFAI). Mesaures of diagnostic performance were assessed (with [95% CIs]) for discriminating different subgroups of patients with adrenal incidentaloma. Patients with ACC were characterized by elevated plasma concentrations of 11-deoxycortisol, 11-deoxycorticosterone, 17-hydroxyprogesterone, androstenedione, and dehydroepiandrosterone-sulfate, whereas patients with PA had elevations of aldosterone, 18-oxocortisol, and 18-hydroxycortisol. A selection of those 8 steroids, combined with 3 others (cortisol, corticosterone, and dehydroepiandrosterone) and plasma metanephrines, proved optimal for identifying patients with ACC, PA, and PHEO at respective sensitivities of 83.3% (66.1%-100%), 90.8% (83.7%-97.8%), and 94.8% (89.8%-99.8%); and specificities of 98.0% (96.9%-99.2%), 92.0% (89.6%-94.3%), and 98.6% (97.6%-99.6%). With the addition of tumor size, discrimination improved further, particularly for ACC (100% [100%-100%] sensitivity, 99.5% [98.9%-100%] specificity). In contrast, discrimination of ACS and NFAI remained suboptimal (70%-71% sensitivity, 89%-90% specificity). Among patients with adrenal incidentaloma, the combination of plasma steroid metabolomics with routinely available plasma free metanephrines and data from imaging studies may facilitate the identification of almost all clinically relevant adrenal tumors.

Identifiants

pubmed: 34665854
pii: 6403350
doi: 10.1210/clinem/dgab751
doi:

Substances chimiques

Steroids 0
Metanephrine 5001-33-2

Types de publication

Journal Article Multicenter Study Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1181-e1192

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Kristina Berke (K)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Georgiana Constantinescu (G)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Jimmy Masjkur (J)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Otilia Kimpel (O)

Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97082 Würzburg, Germany.

Ulrich Dischinger (U)

Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97082 Würzburg, Germany.

Mirko Peitzsch (M)

Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Aleksandra Kwapiszewska (A)

Department of Hypertension, National Institute of Cardiology, 04-828 Warsaw, Poland.

Piotr Dobrowolski (P)

Department of Hypertension, National Institute of Cardiology, 04-828 Warsaw, Poland.

Svenja Nölting (S)

Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), 8057 Zurich, Switzerland.
Department of Medicine IV, University Hospital, Ludwig Maximilian University of Munich, 80539 Munich, Germany.

Martin Reincke (M)

Department of Medicine IV, University Hospital, Ludwig Maximilian University of Munich, 80539 Munich, Germany.

Felix Beuschlein (F)

Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), 8057 Zurich, Switzerland.
Department of Medicine IV, University Hospital, Ludwig Maximilian University of Munich, 80539 Munich, Germany.

Stefan R Bornstein (SR)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Aleksander Prejbisz (A)

Department of Hypertension, National Institute of Cardiology, 04-828 Warsaw, Poland.

Jacques W M Lenders (JWM)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Department of Internal Medicine, Radboud University Medical Center, 6500 HB Nijmegen, the Netherlands.

Martin Fassnacht (M)

Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97082 Würzburg, Germany.

Graeme Eisenhofer (G)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

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Classifications MeSH