Predictors of the Response to Dopaminergic Therapy in Patients With Prolactinoma.


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:
01 12 2020
Historique:
received: 07 07 2020
accepted: 11 09 2020
pubmed: 16 9 2020
medline: 27 2 2021
entrez: 15 9 2020
Statut: ppublish

Résumé

Withdrawal of dopamine agonist (DA) therapy in patients with prolactinoma who are controlled by a small dose of medication is recommended by several guidelines. So far, the likelihood of reaching withdrawal conditions based on baseline characteristics remains uncertain. We retrospectively examined early clinical, radiological, or biochemical features that may predict the likelihood of reaching withdrawal conditions in prolactinoma patients. Data were obtained in a single academic medical center in the United States from patients seen between 2000 and 2018. Using multiple logistic regression, we compared patients who reached withdrawal conditions with those who did not. Of 213 patients, 78 (36.6%) reached withdrawal conditions after at least 2 years of DA treatment. Initial maximal tumor diameter was significantly smaller in those who reached withdrawal conditions than in those who did not. Percent prolactin change at the first check from initiation of DA therapy and parasellar invasiveness were predictors of reaching withdrawal conditions. With constant independent variables, there was a 7% increase in odds for reaching withdrawal conditions for every 1% decrease in percent prolactin change at first check after DA therapy start (P = 0.0000). Parasellar invasion decreased the odds of reaching withdrawal conditions by 84% (P = 0.0000). DA remains a potential life-long treatment modality for most prolactinoma patients. Patients with parasellar invasiveness and low prolactin percent change from baseline to first prolactin check are more likely to require long-term treatment.

Identifiants

pubmed: 32930718
pii: 5905932
doi: 10.1210/clinem/dgaa652
pii:
doi:

Substances chimiques

Biomarkers, Pharmacological 0
Biomarkers, Tumor 0
Dopamine Agonists 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Camille Hage (C)

Division of Endocrinology and Metabolism, and Pituitary Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland USA.

Roberto Salvatori (R)

Division of Endocrinology and Metabolism, and Pituitary Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland USA.

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Classifications MeSH