Development and acceptability testing of a decision aid for considering whether to reduce antipsychotics in individuals with stable schizophrenia.

AIM: Continued antipsychotic treatment is the key to preventing relapse. Maintenance antipsychotic monotherapy and optimal dose use are recommended for individuals with stable schizophrenia because of their undesirable effects. Decision aids (DAs) are clinical conversation tools that facilitate shared decision-making (SDM) between patients and health-care providers. This study aimed to describe the development process and results of acceptability testing of a DA for individuals with stable schizophrenia, considering (i) whether to continue high-dose antipsychotics or reduce to the standard dose and (ii) whether to continue two antipsychotics or shift to monotherapy. METHODS: A DA was developed according to the guidelines for the appropriate use of psychotropic medications and International Patient Decision Aid Standards (IPDAS). First, a DA prototype was developed based on a previous systematic review and meta-analysis conducted for identifying the effects of continuing or reducing antipsychotic treatment. Second, mixed-method survey was performed among individuals with schizophrenia and health-care providers to modify and finalize the DA. RESULTS: The DA consisted of an explanation of schizophrenia, options to continue high-dose antipsychotics or reduce to the standard dose, options to continue two antipsychotics or shift to monotherapy, pros and cons of each option, and a value-clarification worksheet for each option. The patients (n = 20) reported acceptable language use (75%), adequate information (75%), and well-balanced presentation (79%). Health-care providers (n = 20) also provided favorable overall feedback. The final DA covered six IPDAS qualifying criteria. CONCLUSION: A DA was successfully developed for schizophrenia, considering whether to reduce antipsychotics, which can be used in the SDM process.

Effects of 4G-beta-D-Galactosylsucrose in patients with depression: A randomized, double-blinded, placebo-controlled, parallel-group comparative study.

Advances in genetic research on microbiome have led to several trials on the effectiveness of synbiotics or probiotics in patients with depression; however, none have evaluated the efficacy of prebiotics. 4G-beta-D-Galactosylsucrose (Lactosucrose, LS) is selectively assimilated by Bifidobacterium as a prebiotic and improves microbiome diversity. However, as it is not clear if LS consumption can improve symptoms of depression, we investigated whether LS intake can improve depressive symptoms, quality of life (QOL), and self-efficacy by conducting a single cite, double-blinded, randomized controlled trial in 20 outpatients with depressive episodes (F32, ICD-10) for 24 weeks. Participants (age range, 36-72 years) were randomized to the LS (n = 9) or placebo groups (n = 11). Primary outcome was improvement in total Montgomery Asberg Depression Rating Scale (MADRS) score, and the secondary outcomes were MADRS subscores, global self-efficacy scale (GSES) score, World Health Organization QOL (WHO/QOL-26) score, and 16S rRNA analysis of the fecal microbiome. LS consumption did not significantly improve total MADRS scores (-2 (-16 to 16) vs 0 (-6 to 10), p = 0.552), but GSES tended to improve in the LS group (2.00 ± 4.24 vs -1.36 ± 4.15, p = 0.091) with a large effect size (Cohen's d = 0.802). Sequencing of 16S rRNA revealed individual-level differences in microbiome diversity changes due to the intervention. Thus, we show that LS intake can improve self-efficacy, but not depressive symptoms, even in a small sample. Additional studies that also regulate diet and ensure adherence may help determine a correlation between depression and the gut microbiome.

Switching to antipsychotic monotherapy vs. staying on antipsychotic polypharmacy in schizophrenia: A systematic review and meta-analysis.

BACKGROUND: While recent meta-analyses have reported the superiority of antipsychotic polypharmacy (APP) over antipsychotic monotherapy (APM) in schizophrenia, switching to APM can be beneficial in terms of side effects. To determine whether patients receiving APP should switch to APM or stay on APP, we conducted a systematic review and meta-analysis. METHODS: Randomized controlled trials (RCTs) examining a switch from APP to APM vs. staying on APP were systematically selected from a previous meta-analysis comparing APP with APM in patients with schizophrenia. In addition, we conducted an updated systematic literature search using MEDLINE, Embase, and Cochrane Central Register of Controlled Trials. Data on study discontinuation, relapse, psychopathology, neurocognition, extrapyramidal symptoms, and body weight/body mass index (BMI) were extracted and synthesized. RESULTS: A total of 6 RCTs involving 341 patients were included. All studies examined a switch from 2 antipsychotic agents to a single agent. Clozapine-treated patients were included in 3 studies. There was a significant difference in study discontinuation due to all causes in favor of staying on APP (N = 6, n = 341, RR = 2.28, 95% CI = 1.50-3.46, P < 0.001). There were no significant differences in relapse, any psychopathology, neurocognition, extrapyramidal symptoms, or body weight/BMI between the 2 groups. The quality of evidence was low to very low. CONCLUSIONS: The findings suggest that clinicians should closely monitor patient condition when switching to APM after receiving 2 antipsychotics. Given the low to very low overall quality of the evidence, the findings should be considered preliminary and inconclusive.

[The Unitary Psychosis Theory].

Since E. Kraepelin isolated schizophrenia and bipolar disorder as heterogeneous diseases, attempts to categorize mental illnesses have continued to the DSM-5. Meanwhile, cases of psychosis occurring as a result of neurosyphilis have been reported. Whilst in some cases it is useful to divide mental illnesses, in others imposing such classifications may be not be feasible. Since 2008 numerous papers have been published showing that the same genes are related to an increased incidence of several psychiatric diseases including intellectual disorder, autism, ADHD, schizophrenia, bipolar disorder, and depression. This suggests that the theory that these are separate and heterogeneous diseases should be rejected. Aside from the categorical classification in the DSM, it is desirable to create new diagnostic criteria that capture mental illness as a spectrum.

Association between Medication Adherence and Duration of Outpatient Treatment in Patients with Schizophrenia.

OBJECTIVE: Medication adherence is important in the treatment of schizophrenia, and critical periods during treatment may be associated with relapse. However, the relationship between adherence and duration of outpatient treatment (DOT) remains unclear. The authors aimed to clarify the relationship between adherence and DOT at a psychiatric hospital in Japan. METHODS: For outpatients with schizophrenia who regularly visit Shin-Abuyama hospital, the authors conducted a single questionnaire survey (five questions covering gender, age, DOT, medication shortages, and residual medication) over one month period. Participants were divided into two groups whether DOT were from more than one year to within five years or not. Mantel-Haenszel analysis and logistic regression analysis were performed on the data regarding the medication adherence. RESULTS: Effective answers were received for 328 patients. The residual medication rate was significantly higher among those receiving outpatient treatment from more than one year to within five years than five years than those receiving outpatient treatment for more than five years or less than one year (p=0.016). CONCLUSION: This survey suggests that there are critical periods during which patients are most prone to poor adherence. Because poor adherence increases the risk of relapse, specific measures must be taken to improve adherence during these periods.

Correlation between frontal lobe oxy-hemoglobin and severity of depression assessed using near-infrared spectroscopy.

INTRODUCTION: The search for objective biomarkers of psychiatric disorders has a long history. Despite this, no universally accepted instruments or methods to detect biomarkers have been developed. One potential exception is near-infrared spectroscopy, although interpreting the measures of blood flow recorded with this technique remains controversial. In this study, we aimed to investigate the relationship between recorded blood flow and depression severity assessed using the Hamilton depression scale in patients with various psychiatric disorders. METHODS: Enrolled patients (n=43) had DSM-IV diagnoses of major depressive disorder (n=25), bipolar disorder I (n=5), schizophrenia (n=3), dysthymic disorder (n=3), psychotic disorder (n=3), panic disorder (n=2), and Obsessive Compulsive Disorder (n=2). The verbal fluency task was administered during blood flow recording from the frontal and temporal lobes. RESULTS: We found that severity of depression was negatively correlated with the integral value of blood flow in the frontal lobe, irrespective of psychiatric diagnosis (F=5.94, p=0.02). DISCUSSION: Our results support blood flow in the frontal lobe as a potential biomarker of depression severity across various psychiatric disorders. LIMITATION: Limited sample size, no replication in the second set.