Survey of psychiatric symptoms among inpatients with COVID-19 using the Diagnosis Procedure Combination data and medical records in Japan.

Physical symptoms such as fatigue and muscle weakness, and psychiatric symptoms like depression and anxiety are considered as complications and sequelae of COVID-19. This epidemiological study investigated the actual status of psychiatric symptoms and disorders caused by COVID-19, from four major university hospitals and five general hospitals in Fukuoka Prefecture, Japan, having a population of 5 million. We conducted a survey of psychiatric disorders associated with COVID-19 using Diagnosis Procedure Combination (DPC) data and the psychiatric records of the hospitals. In the study period from January 2019 to September 2021, 2743 COVID-19 admissions were determined from DPC data across the nine sites. These subjects had significantly more anxiety, depression, and insomnia, and were receiving higher rates of various psychotropic medications than controls influenza and respiratory infections. A review of psychiatric records revealed that the frequency of organic mental illness with insomnia and confusion was proportional to the severity of COVID-19 infection and that anxiety symptoms appeared independent of infection severity. These results indicate that COVID-19 is more likely to produce psychiatric symptoms such as anxiety and insomnia than conventional infections.

Comorbid psychiatric disorders and long-term survival after liver transplantation in transplant facilities with a psychiatric consultation-liaison team: a multicenter retrospective study.

OBJECTIVE: Comorbid psychiatric disorders negatively affect the survival rate of patients with some physical disorders. In liver transplant recipients, various psychiatric disorders have been identified as worsening prognosis. However, little is known about how the presence of any comorbid (overall) disorders affect the survival rate of transplant recipients. In this study, we examined the effect of overall comorbid psychiatric disorders on survival rate in liver transplant recipients. METHODS: A total of 1006 recipients who underwent liver transplantation between September 1997 and July 2017 across eight transplant facilities with a psychiatric consultation-liaison team were identified consecutively. Recipients were categorized into those with comorbid psychiatric disorders and those without comorbid psychiatric disorders. In the comorbid psychiatric disorder group, psychiatric disorder diagnosis and time of diagnosis were investigated retrospectively. RESULTS: Of the 1006 recipients, 294 (29.2%) had comorbid psychiatric disorders. Comorbid psychiatric disorders in the 1006 recipients were insomnia (N = 107, 10.6%), delirium (N = 103, 10.2%), major depressive disorder (N = 41, 4.1%), adjustment disorder (N = 19, 1.9%), anxiety disorder (N = 17, 1.7%), intellectual disability (N = 11, 1.1%), autism spectrum disorder (N = 7, 0.7%), somatic symptom disorder (N = 4, 0.4%) schizophrenia (N = 4, 0.4%), substance use disorder (N = 24, 2.4%) and personality disorder (N = 2, 0.2%). The most common time of psychiatric disorder diagnosis was within the first 3 months after liver transplantation (51.6%). The final mortality in patients with comorbid psychiatric disorder diagnosis during the five periods (pretransplant, transplant to 3 months, months to 1 year, 1 to 3 years, and over 3 years posttransplant) was 16.2%, 18.8%, 39.1%, 28.6%, and 16.2% respectively, and there were no significant differences between the five periods (χ2 = 8.05, df = 4, p = 0.09). Overall comorbid psychiatric disorders were significantly associated with shorter survival time (log-rank test: p = 0.01, hazard ratio: 1.59 [95% confidence interval: 1.14-2.21], survival rate at the endpoint [%]: 62.0 vs. 83.3). However, after adjusting for confounding variables using Cox proportional hazards regression, there was no significant effect of overall comorbid psychiatric disorders on prognosis. CONCLUSION: Comorbid psychiatric disorders did not affect the survival rate of liver transplant recipients in this study.

[Effect of Digital Labels on Electronic Medical Records for Reducing the Use of Benzodiazepine Receptor Agonists].

Benzodiazepine receptor agonists (BZDs) should be appropriately used owing to the associated risks of delirium and falls. Since January 2018, the liaison team pharmacist at Iizuka Hospital has been applying digital labels with recommendations for the reduction of use and changes in the medication orders and prescriptions of BZDs on electronic medical records of patients in the surgical ward. This study aimed to verify the effectiveness of reducing the use of BZDs via the implementation of digital labels. Patients in the surgical ward were retrospectively assessed for changes in medication orders and prescription ratios of BZDs before and after the implementation of digital labels. The ratio of the number of digital labels implemented to the number of confirmations of medication orders and prescriptions of BZDs was 15.0% at the start of implementation; however, the ratio gradually and significantly decreased to 3.6%. The medication order ratio of BZDs was 52.2% before the implementation of digital labels; however, this ratio decreased to 2.7% and 5.6% immediately and 4 months after the implementation of digital labels, respectively. The present study showed that medication orders for BZDs were reduced after the implementation of digital labels and that the reduction effect was maintained for a certain period of time. Thus, the liaison team pharmacist-led approach can contribute to the proper use of BZDs.

A pilot study exploring the association of morphological changes with 5-HTTLPR polymorphism in OCD patients.

BACKGROUND: Clinical and pharmacological studies of obsessive-compulsive disorder (OCD) have suggested that the serotonergic systems are involved in the pathogenesis, while structural imaging studies have found some neuroanatomical abnormalities in OCD patients. In the etiopathogenesis of OCD, few studies have performed concurrent assessment of genetic and neuroanatomical variables. METHODS: We carried out a two-way ANOVA between a variable number of tandem repeat polymorphisms (5-HTTLPR) in the serotonin transporter gene and gray matter (GM) volumes in 40 OCD patients and 40 healthy controls (HCs). RESULTS: We found that relative to the HCs, the OCD patients showed significant decreased GM volume in the right hippocampus, and increased GM volume in the left precentral gyrus. 5-HTTLPR polymorphism in OCD patients had a statistical tendency of stronger effects on the right frontal pole than those in HCs. CONCLUSIONS: Our results showed that the neuroanatomical changes of specific GM regions could be endophenotypes of 5-HTTLPR polymorphism in OCD.

Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review.

BACKGROUND: Limitations in the primary studies constitute one important factor to be considered in the grading of recommendations assessment, development, and evaluation (GRADE) system of rating quality of evidence. However, in the network meta-analysis (NMA), such evaluation poses a special challenge because each network estimate receives different amounts of contributions from various studies via direct as well as indirect routes and because some biases have directions whose repercussion in the network can be complicated. FINDINGS: In this report we use the NMA of maintenance pharmacotherapy of bipolar disorder (17 interventions, 33 studies) and demonstrate how to quantitatively evaluate the impact of study limitations using netweight, a STATA command for NMA. For each network estimate, the percentage of contributions from direct comparisons at high, moderate or low risk of bias were quantified, respectively. This method has proven flexible enough to accommodate complex biases with direction, such as the one due to the enrichment design seen in some trials of bipolar maintenance pharmacotherapy. CONCLUSIONS: Using netweight, therefore, we can evaluate in a transparent and quantitative manner how study limitations of individual studies in the NMA impact on the quality of evidence of each network estimate, even when such limitations have clear directions.

Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: a systematic review and network meta-analysis.

BACKGROUND: Lithium is the established standard in the long-term treatment of bipolar disorder, but several new drugs have been assessed for this indication. We did a network meta-analysis to investigate the comparative efficacy and tolerability of available pharmacological treatment strategies for bipolar disorder. METHODS: We systematically searched Embase, Medline, PreMedline, PsycINFO, and the Cochrane Central Register of Controlled Trials for randomised controlled trials published before June 28, 2013, that compared active treatments for bipolar disorder (or placebo), either as monotherapy or as add-on treatment, for at least 12 weeks. The primary outcomes were the number of participants with recurrence of any mood episode, and the number of participants who discontinued the trial because of adverse events. We assessed efficacy and tolerability of bipolar treatments using a random-effects network meta-analysis within a Bayesian framework. FINDINGS: We screened 114 potentially eligible studies and identified 33 randomised controlled trials, published between 1970 and 2012, that examined 17 treatments for bipolar disorder (or placebo) in 6846 participants. Participants assigned to all assessed treatments had a significantly lower risk of any mood relapse or recurrence compared with placebo, except for those assigned to aripiprazole (risk ratio [RR] 0·62, 95% credible interval [CrI] 0·38-1·03), carbamazepine (RR 0·68, 0·44-1·06), imipramine (RR 0·95, 0·66-1·36), and paliperidone (RR 0·84, 0·56-1·24). Lamotrigine and placebo were significantly better tolerated than carbamazepine (lamotrigine, RR 5·24, 1·07-26·32; placebo, RR 3·60, 1·04-12·94), lithium (RR 3·76, 1·13-12·66; RR 2·58, 1·33-5·39), or lithium plus valproate (RR 5·95, 1·02-33·33; RR 4·09, 1·01-16·96). INTERPRETATION: Although most of the drugs analysed were more efficacious than placebo and generally well tolerated, differences in the quality of evidence and the side-effect profiles should be taken into consideration by clinicians and patients. In view of the efficacy in prevention of both manic episode and depressive episode relapse or recurrence and the better quality of the supporting evidence, lithium should remain the first-line treatment when prescribing a relapse-prevention drug in patients with bipolar disorder, notwithstanding its tolerability profile. FUNDING: None.

Nominal association between a polymorphism in DGKH and bipolar disorder detected in a meta-analysis of East Asian case-control samples.

AIM: Recent genome-wide association studies (GWAS) of bipolar disorder (BD) have detected new candidate genes, including DGKH, DFNB31 and SORCS2. However, the results of these GWAS were not necessarily consistent, indicating the importance of replication studies. In this study, we tested the genetic association of DGKH, DFNB31 and SORCS2 with BD. METHODS: We genotyped 18 single-nucleotide polymorphisms (SNP) in DGKH, DFNB31 and SORCS2 using Japanese samples (366 cases and 370 controls). We also performed a meta-analysis of four SNP in DGKH, using the previously published allele frequency data of Han-Chinese case-control samples (1139 cases and 1138 controls). RESULTS: IN the association analysis using Japanese samples, a SNP in SORCS2 (rs10937823) showed nominal genotypic association. However, we could not find any association in an additional analysis of tag SNP around rs10937823. In the meta-analysis of SNP in DGKH, rs9315897, which was not significantly associated with BD in the previous Chinese study, showed nominal association. CONCLUSION: Although the association was not strong, the result of this study would support the association between DGKH and BD.

Association analysis of adenosine A1 receptor gene (ADORA1) polymorphisms with schizophrenia in a Japanese population.

OBJECTIVE: The human adenosine A1 receptor gene (ADORA1) localizes to chromosome 1q32 is 76.8 kbp in length and contains six exons. ADORA1 is ubiquitously expressed in the central nervous system and clinical and pharmacological evidence suggest the involvement of adenosine neurotransmission in the pathogenesis of schizophrenia. Therefore, we investigated the contribution of genetic variations of ADORA1 to the pathophysiological mechanisms of Japanese schizophrenia patients. METHODS: We performed genetic analysis of 29 polymorphic markers in 200 schizophrenic patients and 210 healthy controls from the Kyushu region of Japan. In statistical analysis, we performed the univariate analysis with genotypes and allele frequencies, linkage disequilibrium (LD) analyses, multivariate analysis, haplotype analysis, and sliding window haplotype analysis. RESULTS: In univariate analysis, no statistical difference was shown, after Bonferroni correction. By LD analysis, however, we could not find any LD blocks. In haplotype analysis, a total of 359 haplotypes were estimated. In multivariate analysis, we found three statistically different markers. In sliding window haplotype analysis, there were four statistically different haplotypes. CONCLUSION: This is the first study describing the involvement of ADORA1 polymorphisms in the pathophysiological mechanisms of schizophrenia in a Japanese population. These results corroborate our previous pharmacological and neurochemical studies in the rat that have suggested an association between ADORA1 neurotransmission and the schizophrenic effects of the N-methyl-D-aspartate receptor antagonist phencyclidine. Thus, ADORA1 polymorphisms may represent good candidate markers for schizophrenia research and ADORA1 may be involved in the pathophysiological mechanisms of schizophrenia in Japanese populations.

Genetic structure of the dopamine receptor D4 gene (DRD4) and lack of association with schizophrenia in Japanese patients.

In order to investigate the contribution of genetic variation in the human dopamine receptor D4 gene (DRD4) to the risk of developing schizophrenia, we carried out a genetic analysis of 27 polymorphisms in 216 schizophrenic patients and 243 healthy controls from the Kyushu region of Japan. Twenty-two single nucleotide polymorphisms (SNPs) and five insertion/deletion polymorphisms were analyzed in this study, including four novel SNPs and a novel mononucleotide repeat. Linkage disequilibrium (LD) and haplotype analyses reveal weak LD across the DRD4 gene. In univariate analysis female individuals with allele -521C had a higher risk for schizophrenia. However, this finding was not significant after correction for multiple hypothesis testing. No other polymorphisms or haplotypes differed between schizophrenic patients and controls. Likewise, multivariate analyses did not reveal any statistically significant associations.