Cutaneous adverse drug reactions (CADRs) in patients with psychotropic drugs are common. Large studies on the relevant drugs and other risk factors are still scarce. 594 cases of severe CADRs ("cases") were compared with 8085 cases of other adverse drug reactions ("non-cases") documented in a pharmacovigilance program in psychiatry (AMSP) from 1993 to 2014. Logistic regression was carried out to determine risk factors and between-drug differences. CADRs were relatively more prevalent in patients treated with clomipramine, maprotiline, carbamazepine, lamotrigine, acamprosate, clomethiazole and disulfiram as well as with antidepressants and anticonvulsants as drug classes (p < 0.01). For these drugs, significantly more women were found in patients using maprotiline, lamotrigine (not carbamazepine) and in the groups of antidepressants, tricyclics and anticonvulsants (p < 0.01). Women were more vulnerable to CADRs (67% in cases and 56% in non-cases, p < 0.01). The significantly higher rate of CADRs in women was mainly observed under age of 50 years, i.e. during female reproductive years. In a multivariate logistic regression, female sex, the diagnostic group ICD F1 (substance abuse), maprotiline, carbamazepine, lamotrigine and clomethiazole were identified as risk factors of CADRs. The case/non-case approach allowed to identify risk factors based on empirical data rather than experts' evaluations. The new findings of substance abuse and clomethiazole as risk factors for CADRs have to be confirmed in further studies. Since CADRs can be life-threatening, it is important to be aware of risk factors, especially women during their reproductive period and with lamotrigine treatment.

Psychotropic drugs are the cornerstone of schizophrenia treatment, often requiring lifelong treatment. Data on pharmacotherapy in inpatient settings are lacking.

Major depressive disorder (MDD) is one of the leading causes of disability worldwide. Polymorphisms in cytochrome P450 genes (CYP450) were demonstrated to play a significant role in antidepressant response and side effects, but their effect in real-world clinical practice is poorly known. We determined the metabolic status of CYP2C19 based on the combination of *1, *2, *3 and *17 alleles extracted from genome-wide data in 1239 patients with MDD, pharmacologically treated in a naturalistic setting. Symptom improvement and side effects were assessed using the Montgomery and Åsberg Depression Rating Scale and the Udvalg for Kliniske Undersøgelse scale, respectively. We tested if symptom improvement, response and side effects were associated with CYP2C19 metabolic status adjusting for potential confounders. We considered patients treated with drugs for depression having CYP2C19 genotyping recommended by guidelines (T1 Drugs); secondarily, with all psychotropic drugs having CYP2C19 as relevant metabolic path (T2 Drugs). In the group treated with T1 drugs (n = 540), poor metabolizers (PMs) showed higher response and higher symptom improvement compared to normal metabolizers (p = 0.023 and p = 0.009, respectively), but also higher risk of autonomic and neurological side effects (p = 0.022 and p = 0.022 respectively). In patients treated with T2 drugs (n = 801), similar results were found. No associations between metabolizer status and other types of side effects were found (psychic and other side effects). Our study suggests potential advantages of CYP2C19 pharmacogenetic testing to guide treatment prescription, that may not be limited to the drugs currently recommended by guidelines.

Parcellation of distinct areas in the cerebral cortex has a long history in neuroscience and is of great value for the study of brain function, specialization, and alterations in neuropsychiatric disorders. Analysis of cytoarchitectonical features has revealed their close association with molecular profiles based on protein density. This provides a rationale for the use of in vivo molecular imaging data for parcellation of the cortex with the advantage of whole-brain coverage. In the current work, parcellation was based on expression of key players of the serotonin neurotransmitter system. Positron emission tomography was carried out for the quantification of serotonin 1A (5-HT1A, n = 30) and 5-HT2A receptors (n = 22), the serotonin-degrading enzyme monoamine oxidase A (MAO-A, n = 32) and the serotonin transporter (5-HTT, n = 24) in healthy participants. Cortical protein distribution maps were obtained using surface-based quantification. Based on k-means clustering, silhouette criterion and bootstrapping, five distinct clusters were identified as the optimal solution. The defined clusters proved of high explanatory value for the effects of psychotropic drugs acting on the serotonin system, such as antidepressants and psychedelics. Therefore, the proposed method constitutes a sensible approach towards integration of multimodal imaging data for research and development in neuropharmacology and psychiatry.