Drug-induced depressive symptoms: An update through the WHO pharmacovigilance database.

BACKGROUND: Depression is a highly incident condition and some drugs have been described as inducing or worsening depression. However, literature on this topic is rare and possibly outdated. METHODS: We performed disproportionality analyses using VigiBase®, the largest pharmacovigilance database worldwide to identify drugs associated with depression. Then we excluded drugs already known as depressogenic according to American Summary of Product Characteristics (SPC). We then reviewed drug mechanism of action, scientific literature and European SPC for each drug identified to assess a level of plausibility. We measured Reporting Odds Ratio (ROR) statistically significant and superior to 1, suggesting a significant association between a drug and the reporting of depressive symptoms. RESULTS: Out of the 5237 drugs extracted on VigiBase®, we have retained 89 new drugs associated with depression. More than half of drugs of interest are from nervous system. Opicapone (ROR: 20.66 95 %CI: 15.62-27.33), and gadoversetamide (ROR 18.62, 95 %CI 9.63-35.95) were the drugs with the highest ROR. Among the 89 drugs, 38 were considered already described such as suvorexant or ivacaftor, 20 likely associated such as anti-migraines drugs or new antipsychotic drugs and 31 potentially associated. LIMITATIONS: Pharmacovigilance studies have many inherent limitations, such as under-reporting bias, notoriety effect and protopathic bias. These results are not intended to establish a causal link, only a statistical association. CONCLUSION: We found a strong statistical signal and pharmacological plausibility for 58 new depressogenic drugs. This update list of suspected drugs may prove useful for doctors faced with potential cases of drug-induced depression or to stay aware in case. Other studies are needed to confirm the list.

How neurologists are viewed by their colleagues: exploring stereotypes and social representations of neurologists.

INTRODUCTION: The choice of medical specialization is influenced by various factors, including personal, educational, and interpersonal aspects. However, stereotypes and social representations (SRs) can also play a significant role in biasing the choice of a particular medical specialty. The aim of this study is to describe and understand the social representation (SR) of French Neurologist among medical peers, and factors explaining stereotypes about neurology. METHODS: A nationwide web-based survey was sent to the French medical community (students, residents, and graduated physicians) to collect sociodemographic and professional data, status, experience, and acquaintance in Neurology as well as qualitative hierarchical evocation question to assess the SR of French Neurologists. RESULTS: Overall, 367 people participated in the survey, including 112 medical students, 170 residents, and 85 graduated physicians. Only 14.3% of students listed neurology among their top 5 specialty choices, and 63.8% disagreed with the statement "I could have chosen (or I will choose) neurology after the validation of my 6th year of medical studies." Qualitative analysis revealed that the most frequently occurring words used to describe neurologists were "stroke", "complicated", "no treatment," "clinical", and "brain" and five themes corresponded to SRs of neurologist: his/her personal and professional traits (36.4% of the corpus), his/her daily practice (18.1%), the negative aspects of the neurological practice (15.3%), and the neurological pathology and daily skills (30.2%). CONCLUSION: The perception of neurologists by other physicians is nuanced. Neurologists are described as rigorous specialists, maybe excessively so but the cliché of a contemplative specialty with no effective treatment remains. The specialty and neurological patients suffer also from a reputation of complexity. Further interventions among medical students and better information are required to increase the attractiveness of our specialty.

Pharmacogenetic Guidelines for Psychotropic Drugs: Optimizing Prescriptions in Clinical Practice.

The modalities for prescribing a psychotropic (dose and choice of molecule) are currently unsatisfactory, which can lead to a lack of efficacy of the treatment associated with prolonged exposure of the patient to the symptoms of his or her illness and the side effects of the molecule. In order to improve the quality of treatment prescription, a part of the current biomedical research is dedicated to the development of pharmacogenetic tools for individualized prescription. In this guideline, we will present the genes of interest with level 1 clinical recommendations according to PharmGKB for the two major families of psychotropics: antipsychotics and antidepressants. For antipsychotics, there are CYP2D6 and CYP3A4, and for antidepressants, CYP2B6, CYP2D6, and CYP2C19. The study will focus on describing the role of each gene, presenting the variants that cause functional changes, and discussing the implications for prescriptions in clinical practice.

Storm on predictive brain: A neurocomputational account of ketamine antidepressant effect.

For the past decade, ketamine, an N-methyl-D-aspartate receptor (NMDAr) antagonist, has been considered a promising treatment for major depressive disorder (MDD). Unlike the delayed effect of monoaminergic treatment, ketamine may produce fast-acting antidepressant effects hours after a single administration at subanesthetic dose. Along with these antidepressant effects, it may also induce transient dissociative (disturbing of the sense of self and reality) symptoms during acute administration which resolve within hours. To understand ketamine's rapid-acting antidepressant effect, several biological hypotheses have been explored, but despite these promising avenues, there is a lack of model to understand the timeframe of antidepressant and dissociative effects of ketamine. In this article, we propose a neurocomputational account of ketamine's antidepressant and dissociative effects based on the Predictive Processing (PP) theory, a framework for cognitive and sensory processing. PP theory suggests that the brain produces top-down predictions to process incoming sensory signals, and generates bottom-up prediction errors (PEs) which are then used to update predictions. This iterative dynamic neural process would relies on N-methyl-D-aspartate (NMDAr) and α-amino-3-hydroxy-5-methyl-4-isoxazole-propionic receptors (AMPAr), two major component of the glutamatergic signaling. Furthermore, it has been suggested that MDD is characterized by over-rigid predictions which cannot be updated by the PEs, leading to miscalibration of hierarchical inference and self-reinforcing negative feedback loops. Based on former empirical studies using behavioral paradigms, neurophysiological recordings, and computational modeling, we suggest that ketamine impairs top-down predictions by blocking NMDA receptors, and enhances presynaptic glutamate release and PEs, producing transient dissociative symptoms and fast-acting antidepressant effect in hours following acute administration. Moreover, we present data showing that ketamine may enhance a delayed neural plasticity pathways through AMPAr potentiation, triggering a prolonged antidepressant effect up to seven days for unique administration. Taken together, the two sides of antidepressant effects with distinct timeframe could constitute the keystone of antidepressant properties of ketamine. These PP disturbances may also participate to a ketamine-induced time window of mental flexibility, which can be used to improve the psychotherapeutic process. Finally, these proposals could be used as a theoretical framework for future research into fast-acting antidepressants, and combination with existing antidepressant and psychotherapy.

Drug-induced delusion: A comprehensive overview of the WHO pharmacovigilance database.

INTRODUCTION: A number of prescribed medicines have been reported in cases of drug-induced delusion, such as dopaminergic agents or psychostimulants. But to this day, most studies are based on a limited number of cases and focus on a few drug classes, so a clear overview of this topic remains difficult. To address this issue, we provide in this article a comprehensive analysis of drug-induced delusion, based on the World Health Organization (WHO) pharmacovigilance database. METHODS: We performed a disproportionality analysis of this database using the information component (IC). The IC compares observed and expected values to find associations between drugs and delusion, using disproportionate Bayesian reporting. An IC0.25 (lower end of the IC 95% credibility interval) > 0 is considered statistically significant. RESULTS: Here we present an analysis of 4559 suspected drug-induced delusion reports in the WHO pharmacovigilance database. These results identified 66 molecules statistically associated with delusion and an extensive analysis of confounding factors and coprescriptions was performed, using full database as background with an IC0.25 > 0. The main drug classes involved were antidepressants, antiepileptics, dopaminergic agents, opioids, antiinfective agents, benzodiazepines, anti-dementia drugs and psychostimulants. CONCLUSION: These results will help clinicians identify potential suspected drugs associated with delusion and decide which drug to discontinue and eventually lead to a re-evaluation of drug labels for some molecules.

Drugs associated with posterior reversible encephalopathy syndrome, a worldwide signal detection study.

BACKGROUND: Posterior reversible encephalopathy syndrome (PRES) can occur in a variety of clinical conditions, such as severe hypertension, pregnancy, inflammatory diseases, hematopoietic stem cells or solid organ transplantation. Apart increased blood pressure levels and altered renal function, several drugs have been reported as potential triggering factor. These descriptions are nevertheless limited to case reports or small case series. Systematic analysis of drugs associated with PRES using global pharmacovigilance database is lacking and can be useful. METHODS: We performed a disproportionality analysis using VigiBase, the World Health Organization pharmacovigilance database, using the information component (IC). The IC compares observed and expected values to find associations between drugs and PRES using disproportionate Bayesian reporting. An IC0.25 (lower end of the IC 95% credibility interval) > 0 is considered statistically significant. RESULTS: Here we present an analysis of 3278 cases of PRES reported in VigiBase. These results identified 73 molecules statistically associated with PRES using full database as background with an IC0.25 > 0. Only 34% (N = 25/73) of them had this information written in the summary of product characteristics. The main drug classes involved were antineoplastic and immunomodulating agents and the drugs with the greatest number of cases were tacrolimus, cyclosporin, bevacizumab, methotrexate, and vincristine. An overall mortality of 8.1% (N = 267/3278) was identified in cases of drug-associated PRES. CONCLUSION: These results will help clinicians identify potential suspected drugs associated with PRES and decide which drug to discontinue and eventually lead to a re-evaluation of drug labels for some molecules.

Symptoms of Depression and Anxiety in Adults with High-Grade Glioma: A Literature Review and Findings in a Group of Patients before Chemoradiotherapy and One Year Later.

High-grade glioma (HGG) is associated with several external and internal stressors that may induce mood alterations at all stages of the disease. Symptoms of depression and anxiety in persons with glioma have multifactorial etiology and require active follow-up. We reviewed the literature data on the prevalence, mechanisms likely involved in the etiology of mood alterations in persons with HGG and psychosocial interventions found beneficial in treating these symptoms. We also investigated the prevalence and clinical variables that could increase the risk of depression and anxiety symptoms in a group of patients with HGG at two disease time-points: after surgery, before and 1 year after chemoradiotherapy. Literature findings revealed complex mechanisms underlying these symptoms and highlighted the importance of providing early access to palliative care. Our results show a high rate of anxiety and depression symptoms in the first stage of the disease and increased concomitance of these symptoms at the 1-year follow-up. Depression and anxiety symptoms at 1 year after the end of chemoradiotherapy were associated with the presence of symptoms at the first stage of the disease and tumor progression. Antiepileptic drugs and corticosteroid intake did not increase the risk of depressive and anxious symptoms among patients. Active management of mood alterations is an essential part of the care and contributes to patients' well-being and quality of life.

Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database.

BACKGROUND: Hyperammonaemia is frequent in Intensive Care Unit patients. Some drugs have been described as associated with this condition, but there are no large-scale studies investigating this topic and most descriptions only consist of case-reports. METHODS: We performed a disproportionality analysis using VigiBase, the World Health Organization Pharmacovigilance Database, using the information component (IC). The IC compares observed and expected values to find associations between drugs and hyperammonaemia using disproportionate Bayesian reporting. An IC0.25 (lower end of the IC 95% credibility interval) > 0 is considered statistically significant. The main demographic and clinical features, confounding factors, and severity of cases have been recorded. RESULTS: We identified 71 drugs with a disproportionate reporting in 2924 cases of hyperammonaemia. Most of the suspected drugs could be categorised into 4 main therapeutic classes: oncologic drugs, anti-epileptic drugs, immunosuppressants and psychiatric drugs. The drugs most frequently involved were valproic acid, fluorouracil, topiramate, oxaliplatin and asparaginase. In addition to these molecules known to be responsible for hyperammonaemia, our study reported 60 drugs not previously identified as responsible for hyperammonaemia. These include recently marketed molecules including anti-epileptics such as cannabidiol, immunosuppressants such as basiliximab, and anti-angiogenics agents such as tyrosine kinase inhibitors (sunitinib, sorafenib, regorafenib, lenvatinib) and monoclonal antibodies (bevacizumab, ramucirumab). The severity of cases varies depending on the drug class involved and high mortality rates are present when hyperammonaemia occurs in patients receiving immunosuppressant and oncologic drugs. CONCLUSIONS: This study constitutes the first large-scale study on drug-associated hyperammonaemia. This description may prove useful for clinicians in patients' care as well as for trial design.

Anosognosia in amyotrophic lateral sclerosis: A cross-sectional study of 85 individuals and their relatives.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) has long been considered a pure motor neurodegenerative disease. However, now, extra-motor manifestations such as cognitive-behavioral disorders are considered not rare and are even a severity factor of the disease. Experiencing anosognosia (i.e., the inability to recognize neurological symptoms) might affect care and treatment compliance in ALS. Regardless, this pivotal feature has been little investigated. OBJECTIVES: By comparing patients' and caregivers' reports, we analysed whether patients with ALS would experience a lack of awareness about their executive disorders and their apathy symptoms. METHODS: From the ALS reference center in Paris, we included 85 patients (47 men, mean [SD] age 60.5 [12] years and ALS-Functional Rating Scale-revised score 8 to 46) and their primary family caregivers who all completed the Dysexecutive Questionnaire (DEX) and the Apathy Evaluation Scale (AES). Overall scores and answers were compared by agreement/disagreement statistical methods. RESULTS: Caregivers reported higher levels of cognitive-behavioral disorders than did patients, but reports matched when cognitive-behavioral disorders were absent or mild. With published DEX and AES cutoffs, 32% and 51% of patients had executive disorders and apathy, respectively. In these patients with significant impairment, Bland-Altman plots (i.e., visual display agreement that represents the difference between the patient's and caregiver's scores as a function of their average) showed a strong discrepancy between joint reports: patients underestimated their symptoms by a mean bias of -6.81 DEX points (95% confidence interval -11.88, -1.75) and -8.85 AES points (95% confidence interval -11.72, -5.98). We found no clear relationship between bulbar or spinal ALS subtypes and anosognosia. CONCLUSIONS: ALS patients with a cognitive-behavioral phenotype show anosognosia by a mismatch between self and proxy reports, which warrants further investigation in neuroimaging. Systematic longitudinal screening of anosognosia is needed to propose targeted psychoeducation in patient-caregiver dyads showing disagreement.