Xavier Benarous

Prise en charge du trouble bipolaire de type 1 chez l’enfant et l’adolescent

Lifetime prevalence of child and adolescent bipolar 1 disorder (BD1) is nearly 0.1 %. Even though it is not a frequent disorder in young people, there is an increased interest for this disorder at this age, because of the poor outcome, the severe functional impairments and the major risk of suicide. Diagnosis is complex in view of the more frequent comorbidities, the variability with an age-dependant clinical presentation, and the overlap in symptom presentation with other psychiatric disorders (e.g. disruptive disorders in prepubertal the child and schizophrenia in the adolescent). The presentation in adolescents is very similar to that in adults and in prepubertal children chronic persistent irritability and rapid mood oscillation are often at the foreground. For a while, such presentations were considered as BD-not otherwise specified (BD-NOS), which can explain the outburst of the prevalence of bipolar disorder in children in the US. Longitudinal studies that look for the outcome of such emotional dysregulations have not revealed an affiliation with bipolar disorder spectrum, but with depressive disorders in adulthood. The diagnosis of Disruptive Mood Dysregulation Disorder was proposed in the DSM-5 to identify these children and to prevent confusion with bipolar disorder. The goals of the pharmacological and psychosocial treatments are to control or ameliorate the symptoms, to avoid new episodes or recurrences, to improve psychosocial functioning and well-being, and to prevent suicide. In the US, lithium and four atypical antipsychotics have been approved by the FDA for 10 to 13-year-olds (risperidone, olanzapine, aripiprazole and quetiapine). In France, only lithium salts (after the age of 16) and aripiprazole (after the age of 13) are recommended. Psychosocial treatments, such as a familial or individual approach are developing.

Early interventions for youths at high risk for bipolar disorder: a developmental approach

In recent decades, ongoing research programmes on primary prevention and early identification of bipolar disorder (BD) have been developed. The aim of this article is to review the principal forms of evidence that support preventive interventions for BD in children and adolescents and the main challenges associated with these programmes. We performed a literature review of the main computerised databases (MEDLINE, PUBMED) and a manual search of the literature relevant to prospective and retrospective studies of prodromal symptoms, premorbid stages, risk factors, and early intervention programmes for BD. Genetic and environmental risk factors of BD were identified. Most of the algorithms used to measure the risk of developing BD and the early interventions programmes focused on the familial risk. The prodromal signs varied greatly and were age dependent. During adolescence, depressive episodes associated with genetic or environmental risk factors predicted the onset of hypomanic/manic episodes over subsequent years. In prepubertal children, the lack of specificity of clinical markers and difficulties in mood assessment were seen as impeding preventive interventions at these ages. Despite encouraging results, biomarkers have not thus far been sufficiently validated in youth samples to serve as screening tools for prevention. Additional longitudinal studies in youths at high risk of developing BD should include repeated measures of putative biomarkers. Staging models have been developed as an integrative approach to specify the individual level of risk based on clinical (e.g. prodromal symptoms and familial history of BD) and non-clinical (e.g. biomarkers and neuroimaging) data. However, there is still a lack of empirically validated studies that measure the benefits of using these models to design preventive intervention programmes.

Ecological Momentary Assessment and Smartphone Application Intervention in Adolescents with Substance Use and Comorbid Severe Psychiatric Disorders: Study Protocol

Context Substance use disorders (SUDs) are highly prevalent among inpatient adolescents with psychiatric disorders. In this population, substance use and other psychiatric outcomes can reinforce one another. Despite the need for integrated interventions in youths with dual diagnoses, few specific instruments are available. App-based technologies have shown promising results to help reduce substance use in adolescents, but their applicability in youths with associated severe psychiatric disorders is poorly documented. We aim to evaluate the feasibility of an ecological momentary assessment (EMA) intervention for all substance users, and of a smartphone application for cannabis users (Stop-Cannabis), for outpatient treatment after hospital discharge. Methods and analysis All inpatient adolescents with psychiatric disorders hospitalized between 2016 and 2018 in a university hospital will be systematically screened for SUD and, if positive, will be assessed by an independent specialist addiction team. Participants with confirmed SUDs will be invited and helped to download an EMA app and, if required, the Stop-Cannabis app, the week preceding hospital discharge. Information about the acceptability and use of both apps and the validity of EMA data in comparison to clinical assessments will be assessed after 6 months and 1 year. Discussion This research has been designed to raise specific issues for consideration regarding the sequence between substance use, contextual factors, and other psychiatric symptoms among adolescents with comorbid severe psychiatric disorders. A better understanding of the mechanisms involved will inform the development of integrated treatment for dual disorders at that age. Ethics and dissemination The study has already been approved and granted. Dissemination will include presentations at international congresses as well as publications in peer-reviewed journals. Trial registration European Clinical Trials Database: Number 2016-001999-30.

A systematic review of the evidence for impaired cognitive theory of mind in maltreated children

Compared to the large number of studies exploring difficulties in emotion recognition in maltreated children, few (N = 12) have explored the cognitive aspect of theory of mind (ToM), i.e., the ability to understand others’ thoughts and intentions. A systematic review of these studies shows inconsistent results regarding cognitive ToM tasks. Youths with a history of maltreatment are more likely to fail at false-belief tasks (N = 2). However, results are less conclusive regarding other tasks (perspective-taking tasks, N = 4; and hostile attribution tasks, N = 7). Additionally, only one study controlled for potential psychopathology. Measures of psychopathology and other cognitive abilities, in addition to ToM, are required to establish a specific association between maltreatment and the cognitive dimension of ToM.

A causality algorithm to guide diagnosis and treatment of catatonia due to autoimmune conditions in children and adolescents

OBJECTIVES Pediatric catatonia is a rare and life-threatening syndrome. Around 20% of juvenile catatonia is associated with organic condition (Consoli et al., 2012). Autoimmune conditions represent a diagnostic and therapeutic challenge since specific antibodies can be missed. To facilitate decision making, we recently formulated a causality assessment score (CAUS) using a stepwise approach and an immunosuppressive therapeutic challenge (Ferrafiat et al., 2016). Our objectives were to validate retrospectively CAUS and to define its threshold for an accurate distinction between organic catatonia and non-organic catatonia, and specifically between autoimmune catatonia and non-organic catatonia. METHOD To obtain a sufficient number of cases with organic catatonia, we pooled two samples (N=104) - one from a child psychiatry center, the other from neuro-pediatrics center - expert in catatonia and autoimmune conditions. Organic conditions were diagnosed using a multidisciplinary approach and numerous paraclinical investigations. Given the binary classification needs, we used receiver operating characteristic (ROC) analysis (Peacock and Peacock, 2010) to calculate the best classification threshold. RESULTS The cohort included 67 cases of non-organic catatonia and 37 cases of organic catatonia. ROC analysis showed that the CAUS performance in discriminating both organic catatonia vs. non-organic catatonia, and autoimmune catatonia vs. non-organic catatonia was excellent (Area Under the Curve=0.99). In both analyses, for a CAUS threshold≥5, accuracy equaled to 0.96. CONCLUSION Regarding juvenile catatonia, the use of the CAUS score algorithm combining a therapeutic challenge and a threshold≥5 may help to diagnose and treat autoimmune conditions even without formal identification of auto-antibodies.