Sociodemographic and clinical characteristics related with hyperprolactinaemia in psychiatric clinical population

Abstract

Background Hyperprolactinaemia (HyperPRL) induced by psychotropic drugs is a high-prevalence consequence which has repercussions in psychical and mental health in the psychiatric population, so this research had the objective to expand which sociodemographic and clinical features are associated with prolactin (PRL) elevation in patients treated with antidepressant and/or antipsychotic drugs. Methods An observational, cross-sectional, comparative and retrolective study was conducted on 300 patients who received clinical attention in a third level of psychiatric care unit in Mexico during 2017. These patients have been reported to show PRL levels greater than 25 ng/mL among women and greater than 20 ng/mL among men. In the same way, sociodemographic and clinical variables were collected, as well as psychiatric diagnosis and type of psychopharmacological treatment used by the patients. Results HyperPRL was more frequent in women (80.7%) than men (19.3%). The mean levels of PRL were 68.94 ± 62.28 ng/mL with higher levels in women (71.9 ± 67.3, p=.02). Regarding the treatment, 78.3%, 71.3% and 49.7% consumed antipsychotics, antidepressants, and both drugs, respectively. The relationship between hyperPRL (>100 n/mL) and typical antipsychotics was dose-dependent (33.23 ± 13.24 mg, p=.01). In the multivariate regression models according to the type of treatment, as well as the demographic and clinical features, hyperPRL was associated independently with the use of antipsychotic treatment, pituitary adenoma and hypertension (R 2=0.05). Conclusions HyperPRL is a complex clinical syndrome frequent in the psychiatric population with detrimental long-term consequences, as well as its relationship with the use of psychotropic drugs as in the case of antipsychotics. Effective actions should be implemented in the prevention, approach and treatment of this condition paying special attention to the accompanying medical comorbidities.