Background: Impulse control disorders (ICDs) have been described as underrecognized side effects of dopamine agonists (DAs) in neurological disorders but are not sufficiently understood in endocrine conditions.
Objective: To identify the prevalence of DAs induced ICDs and determine potential risk factors related to these disorders in patients with prolactinoma and non-function pituitary adenomas (NFPAs).
Methods: This is a cross-sectional multicenter study involving 200 patients with prolactinoma and NFPAs, who received follow-ups in tertiary referral centers. DA-induced ICDs were assessed using ICD questionnaires modified from prior studies.
Result: At least one ICD was reported by 52% of participants, among whom 28.5% mentioned compulsive shopping, 24.5% punding, and 24.5% hypersexuality. Furthermore, 33% of the patients reported the presence of one type of ICD behavior, while 12% specified two and 7% had three types of such behavior. The multivariable logistic regression showed that the significant risk factors of ICD were younger age (adjusted odds ratio [AOR]: 0.92, 95% confidence interval [CI]: 0.88-0.97, p 0.001), being single (AOR: 0.15, 95%CI: 0.03-0.84, p 0.03), and a positive history of psychiatric illness (AOR: 7.67, 95% CI: 1.37-42.97, p 0.021).
Conclusion: ICDs with a broad range of psychiatric symptoms are common in individuals with DA-treated prolactinoma and NFPAs. Endocrinologists should be aware of this potential side effect, particularly in patients with a personal history of psychiatric disorder.
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http://dx.doi.org/10.1007/s11102-024-01383-2 | DOI Listing |
J Occup Environ Hyg
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Department of Kinesiology & Health Promotion, University of Kentucky, Lexington, Kentucky.
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Department of Mathematics, University of Trento, Via Sommarive 14, Povo, 38123, Trento, Italy.
One of the strategies used in some countries to contain the COVID-19 epidemic has been the test-and-isolate policy, generally coupled with contact tracing. Such strategies have been examined in several simulation models, but a theoretical analysis of their effectiveness in simple epidemic model is, to our knowledge, missing. In this paper, we present four epidemic models of either SIR or SEIR type, in which it is assumed that at fixed times the whole population (or a part of the population) is tested and, if positive, isolated.
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Imperial College London, London, United Kingdom.
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Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
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Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
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