Agitation in schizophrenia: origins and evidence-based treatment.

PURPOSE OF REVIEW: Agitation associated with schizophrenia remains an important clinical concern and if not managed effectively, can escalate into aggressive behavior. This is a review of the recent biomedical literature on agitation in individuals with schizophrenia. RECENT FINDINGS: Themes in the recent literature include consideration of comorbidities such as cigarette smoking and cannabis use. Surveys reveal that pharmacological approaches to manage agitation have changed little, with haloperidol remaining in common use and intramuscular administration of antipsychotics and/or benzodiazepines being frequently administered to more severely agitated/aggressive individuals. Of note, ketamine has been recently adopted for use in severe agitation in medical emergency departments, but the risk of this medication for people with schizophrenia is unclear. At present, inhaled loxapine remains the only rapidly acting noninjectable FDA-approved treatment for agitation associated with schizophrenia. In development is an intranasal formulation for olanzapine (a well characterized atypical antipsychotic already approved to treat agitation) and a sublingual film for dexmedetomidine (an α2-adrenergic agonist used as an anesthetic and now being repurposed). SUMMARY: Comorbidities can contribute to agitation and can make an accurate differential diagnosis challenging. The ongoing development of rapidly acting novel formulations of antiagitation medications, if successful, may facilitate clinical treatment by providing additional options.

Actionable Predictive Factors of Homelessness in a Psychiatric Population: Results from the REHABase Cohort Using a Machine Learning Approach.

BACKGROUND: There is a lack of knowledge regarding the actionable key predictive factors of homelessness in psychiatric populations. Therefore, we used a machine learning model to explore the REHABase database (for rehabilitation database-n = 3416), which is a cohort of users referred to French psychosocial rehabilitation centers in France. METHODS: First, we analyzed whether the different risk factors previously associated with homelessness in mental health were also significant risk factors in the REHABase. In the second step, we used unbiased classification and regression trees to determine the key predictors of homelessness. Post hoc analyses were performed to examine the importance of the predictors and to explore the impact of cognitive factors among the participants. RESULTS: &nbsp;First, risk factors that were previously found to be associated with homelessness were also significant risk factors in the REHABase. Among all the variables studied with a machine learning approach, the most robust variable in terms of predictive value was the nature of the psychotropic medication (sex/sex relative mean predictor importance: 22.8, σ = 3.4). Post hoc analyses revealed that first-generation antipsychotics (15.61%; p < 0.05 FDR corrected), loxapine (16.57%; p < 0.05 FWER corrected) and hypnotics (17.56%; p < 0.05 FWER corrected) were significantly associated with homelessness. Antidepressant medication was associated with a protective effect against housing deprivation (9.21%; p < 0.05 FWER corrected). CONCLUSIONS: Psychotropic medication was found to be an important predictor of homelessness in our REHABase cohort, particularly loxapine and hypnotics. On the other hand, the putative protective effect of antidepressants confirms the need for systematic screening of depression and anxiety in the homeless population.