The prevalence of schizophrenia in mainland China: evidence from epidemiological surveys

Global prevalence of major depressive disorder in LGBTQ+ samples: A systematic review and meta-analysis of epidemiological studies

BACKGROUND

LGBTQ+ populations have been reported to have higher rates of depression compared with their heterosexual peers. Such data provided us the impetus to conduct a meta-analysis on the worldwide prevalence of major depressive disorder (MDD) in LGBTQ+ populations and moderating factors that contributed to differences in prevalence estimates between studies.

METHODS

A systematic literature search was performed in major international (PubMed, PsycINFO, Web of Science, EMBASE) and Chinese (Chinese Nation Knowledge Infrastructure (CNKI) and WANFANG) databases from dates of inception to 10 December 2021.

RESULTS

48 articles comprising 4,616,903 individuals were included in the meta-analysis. The overall prevalence of MDD was 32.2 % (95%CI: 30.8-33.6 %, I2 = 99.6 %, τ2 = 0.284). MDD prevalence was higher in the LGBTQ+ samples from the United States than other countries, though the difference was not significant in moderator analyses. Moderator analyses indicated point and lifetime prevalence of MDD were significantly higher than estimates based on the past year (Q = 6.270, p = 0.043). Furthermore, studies that relied on convenience sampling had a higher prevalence of MDD than those based on other sampling methods (Q = 8.159, p = 0.017). In meta-regression analyses, mean age (B = 0.03, z = 9.54, p < 0.001) and study quality assessment score (B = 0.24, z = 67.64, p < 0.001) were positively associated with pooled prevalence of MDD while mediation data of year of study (B = -0.08, z = -72.55, p < 0.001) and sample size (B = -1.46, z = -37.83, p < 0.001) were negatively associated with pooled prevalence of MDD in LGBTQ+ samples.

CONCLUSIONS

MDD is common among in LGBTQ+ individuals. Considering the negative consequences MDD has on daily life and well-being, appropriate prevention and treatment measures should be provided to vulnerable members of these populations. The findings of this meta-analysis could facilitate identifying at-risk subgroups, developing relevant health policy for LGBTQ+ individuals and allocating health resources from an intersectionality perspective.

Alterations of the gut microbiota in patients with schizophrenia

Introduction

Schizophrenia is a complex psychiatric disorder, of which molecular pathogenesis remains largely unknown. Accumulating evidence suggest that gut microbiota may affect brain function via the complex gut-brain axis, which may be a potential contributor to schizophrenia. However, the alteration of gut microbiota showed high heterogeneity across different studies. Therefore, this study aims to identify the consistently altered gut microbial taxa associated with schizophrenia.

Methods

We conducted a systematic search and synthesis of the up-to-date human gut microbiome studies on schizophrenia, and performed vote counting analyses to identify consistently changed microbiota. Further, we investigated the effects of potential confounders on the alteration of gut microbiota.

Results

We obtained 30 available clinical studies, and found that there was no strong evidence to support significant differences in α-diversity and β-diversity between schizophrenic patients and healthy controls. Among 428 differential gut microbial taxa collected from original studies, we found that 8 gut microbial taxa were consistently up-regulated in schizophrenic patients, including Proteobacteria, Gammaproteobacteria, Lactobacillaceae, Enterobacteriaceae, Lactobacillus, Succinivibrio, Prevotella and Acidaminococcus. While 5 taxa were consistently down-regulated in schizophrenia, including Fusicatenibacter, Faecalibacterium, Roseburia, Coprococcus and Anaerostipes.

Discussion

These findings suggested that gut microbial changes in patients with schizophrenia were characterized by the depletion of anti-inflammatory butyrate-producing genera, and the enrichment of certain opportunistic bacteria genera and probiotics. This study contributes to further understanding the role of gut microbiota in schizophrenia, and developing microbiota-based diagnosis and therapy for schizophrenia.

Global prevalence of poor sleep quality in cancer patients: A systematic review and meta-analysis

OBJECTIVE

Poor sleep quality is common in patients with cancer, but the prevalence rates varied widely across studies. This systematic review and meta-analysis examined the pooled prevalence of poor sleep quality among patients with cancer.

METHODS

Systematic literature searches were independently conducted in the major databases (Web of Science, PubMed, EMBASE and PsycINFO). Studies that reported the prevalence of poor sleep quality in patients with cancer were analyzed using a random effects model. Funnel plots and Egger's tests were used to assess publication bias. Statistical analyses were performed using R software.

RESULTS

A total of 59 epidemiological studies involving 16,223 patients were included. The pooled prevalence of poor sleep quality in patients with cancer was 57.4% [95% confidence interval (CI): 53.3% - 61.6%]. Additionally, three comparative studies with 372 patients and 412 healthy controls were included. Compared to healthy controls, patients with cancer had a significantly higher risk for poor sleep quality [odd ratio (OR) = 3.0; 95%CI: 1.2-7.2; P < 0.05]. Subgroup analyses of the studies revealed that studies from Middle East & North Africa region and low income countries, and on gynecological cancer as well as those with a lower cut-off value of sleep quality (all P < 0.01) reported a higher prevalence of poor sleep quality. Meta-regression analyses showed that higher prevalence of poor sleep quality was associated with higher prevalence of comorbid depression (P < 0.05) and anxiety (P < 0.01), but was associated with a lower education level (P < 0.05) and alcohol use ratio (P < 0.05).

CONCLUSION

Poor sleep quality is common among patients with cancer. Considering the overall high prevalence rate and negative impact of poor sleep quality, appropriate measures to identify and improve poor sleep quality are needed to enhance the clinical outcomes in this group.

Association of non-essential metals with Chinese schizophrenia: A case-control study

BACKGROUND

The potential link between environmental pollutants, including metals, and schizophrenia development remains debated. This study aimed to explore the association between plasma levels of three non-essential metals-barium (Ba), tungsten (W), and uranium (U)-and schizophrenia risk among Chinese individuals.

METHOD

We recruited a total of 221 patients and 219 healthy controls. Plasma levels of three non-essential metals were measured using inductively coupled plasma mass spectrometry. We employed unconditional logistic regression and Bayesian kernel machine regression (BKMR) to explore the relationship between exposure to multiple metals and the risk of schizophrenia.

RESULTS

Logistic regression analysis revealed that the highest quartile (Q4) of W had an odds ratio (OR) of 1.87 (95% CI: 1.08-3.21) compared to the lowest quartile (Q1), with a significant P-trend of 0.017. For U, the ORs (95% CI) for Q2, Q3, and Q4 were 2.06 (1.19-3.56), 1.99 (1.15-3.44), and 1.74 (1.00-3.00), respectively. BKMR analyses revealed a progressive increase in the risk of schizophrenia with increasing cumulative levels of the three metals at concentrations below 35%, with U playing a major role in this association. U showed a non-linear positive correlation with schizophrenia, particularly at the 75th percentile level. Moreover, potential interactions were observed between W and Ba, as well as between W and U.

CONCLUSION

Higher plasma W and U concentrations were positively associated with the risk of schizophrenia, which was potentially related to the severity of symptoms in schizophrenic patients.

Poor sleep quality in schizophrenia patients: A systematic review and meta-analyses of epidemiological and case-control studies

OBJECTIVE

Poor sleep quality is common in patients with schizophrenia but estimated prevalence rates in this population have been mixed. This systematic review and meta-analysis examined the prevalence of poor sleep quality in schizophrenia samples and moderators of prevalence from epidemiological studies as well as the risk of poor sleep quality in schizophrenia patients based on case-control studies.

METHODS

Both international (PubMed, Web of Science, PsycINFO, EMBASE) and Chinese databases [Chinese Nation knowledge Infrastructure (CNKI) and WANFANG] were systematically searched. Studies that estimated the prevalence of poor sleep quality in schizophrenia were analyzed using a random effects model. Funnel plots and Egger's tests were used to assess publication bias. Statistical analyses were performed using R software.

RESULTS

In total, 23 epidemiological studies and nine case-control studies were included. Based on the epidemiological studies, the pooled overall prevalence of poor sleep quality was 63.4 % [95 % confidence interval (CI): 57.0 %-69.9 %]. Additionally, based on the nine case-control studies, schizophrenia patients had a significantly higher risk for poor sleep quality compared to healthy controls [odd ratio (OR) = 4.5; 95%CI: 2.4-8.3; P < 0.0001].

CONCLUSION

Poor sleep quality is common among schizophrenia patients. Considering negative outcomes caused by poor sleep quality, regular screening on poor sleep quality should be conducted and effective interventions should be provided to those in need.

Prevalence of poor sleep quality in COVID-19 patients: a systematic review and meta-analysis

Objective

The coronavirus disease (COVID-19) and the public health responses were associated with a huge health burden, which could influence sleep quality. This meta-analysis and systematic review examined the prevalence of poor sleep quality in COVID-19 patients.

Methods

PubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 27, 2022. Prevalence rates of poor sleep were analyzed using a random effects model.

Results

Totally, 24 epidemiological and 12 comparative studies with 8,146 COVID-19 patients and 5,787 healthy controls were included. The pooled prevalence of poor sleep quality based on the included studies was 65.0% (95%CI: 59.56-70.44%, I2 = 97.6%). COVID-19 patients had a higher risk of poor sleep quality compared to healthy controls (OR = 1.73, 95% CI: 1.30-2.30, p < 0.01, I2 = 78.1%) based on the 12 comparative studies. Subgroup analysis revealed that COVID-19 patients in low-income countries (p = 0.011) and in studies using a lower Pittsburgh Sleep Quality Index score cut-off (p < 0.001) were more likely to have poor sleep quality. Meta-regression analyses revealed that being female (p = 0.044), older (p < 0.001) and married (p = 0.009) were significantly correlated with a higher risk of poor sleep quality while quality score (p = 0.014) were negatively correlated with the prevalence of poor sleep quality in COVID-19 patients.

Conclusion

Poor sleep quality was found to be very common in COVID-19 patients. Considering the negative effects of poor sleep quality on daily life, sleep quality should be routinely assessed and appropriately addressed in COVID-19 patients.

Prevalence of sleep disturbances in children and adolescents during COVID-19 pandemic: a meta-analysis and systematic review of epidemiological surveys

The COVID-19 pandemic and the ensuing widespread lockdown measures have had a negative impact on the mental health of children and adolescents. We thus conducted a meta-analysis of the worldwide prevalence of sleep disturbances in children and adolescents during the COVID-19 pandemic. We performed a systematic literature search of the major international (PubMed, PsycINFO, Web of Science) and Chinese (Chinese Nation Knowledge Infrastructure (CNKI) and WANFANG) databases from their commencement dates to 27 December 2022. Altogether, 57 articles covering 206,601 participants were included in the meta-analysis. The overall prevalence of sleep disturbances was 34.0% (95% confidence interval (CI): 28-41%). The prevalence of parent-reported sleep disturbances during the COVID-19 pandemic was significantly higher than that of self-reported (p = 0.005) sleep disturbances. Epidemiological studies jointly conducted across Asia and Europe had a higher prevalence of sleep disturbances compared to those conducted in Asia, Europe, America, Oceania, or South America alone (p < 0.001). Children had a significantly higher prevalence of sleep disturbances compared to adolescents alone or a mixed cohort of children and adolescents (p = 0.022). Meta-regression analyses revealed that mean age (p < 0.001), quality evaluation score (p < 0.001), and percentage of men (p < 0.001) showed negative associations, while time of survey (B = 1.82, z = 34.02, p < 0.001) showed a positive association with the prevalence of sleep disturbances. Sleep disturbances were common in children and adolescents during the COVID-19 pandemic.

How much schizophrenia do famines cause?

Since the 1970s, famines have been widely invoked as natural experiments in research into the long-term impact of foetal exposure to nutritional shocks. That research has produced compelling evidence for a robust link between foetal exposure and the odds of developing schizophrenia. However, the implications of that research for the human cost of famines in the longer run have not been investigated. We address the connection between foetal origins and schizophrenia with that question in mind. The impact turns out to be very modest-much less than one per cent of the associated famine death tolls-across a selection of case studies.

Comprehensive review of multidimensional biomarkers in the ShangHai At Risk for Psychosis (SHARP) program for early psychosis identification

Psychosis is recognized as one of the largest contributors to nonfatal health loss, and early identification can largely improve routine clinical activity by predicting the psychotic course and guiding treatment. Clinicians have used the clinical high-risk for psychosis (CHR) paradigm to better understand the risk factors that contribute to the onset of psychotic disorders. Clinical factors have been widely applied to calculate the individualized risks for conversion to psychosis 1-2 years later. However, there is still a dearth of valid biomarkers to predict psychosis. Biomarkers, in the context of this paper, refer to measurable biological indicators that can provide valuable information about the early identification of individuals at risk for psychosis. The aim of this paper is to critically review studies assessing CHR and suggest possible biomarkers for application of prediction. We summarized the studies on biomarkers derived from the findings of the ShangHai at Risk for Psychosis (SHARP) program, including those that are considered to have the most potential. This comprehensive review was conducted based on expert opinions within the SHARP research team, and the selection of studies and results presented in this paper reflects the collective expertise of the team in the field of early psychosis identification. The three dimensions with potential candidates include neuroimaging dimension of brain structure and function, electrophysiological dimension of event-related potentials (ERPs), and immune dimension of inflammatory cytokines and complement proteins, which proved to be useful in supporting the prediction of psychosis from the CHR state. We suggest that these three dimensions could be useful as risk biomarkers for treatment optimization. In the future, when available for the integration of multiple dimensions, clinicians may be able to obtain a comprehensive report with detailed information of psychosis risk and specific indications about preferred prevention.

Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review

BACKGROUND

Schizophrenia is a severe psychiatric disorder associated with a significant negative impact. Early diagnosis and treatment of schizophrenia has a favorable effect on the clinical outcome and patients quality of life. In this context, machine learning techniques open up new opportunities for a more accurate diagnosis and prediction of the clinical features of this illness.

AIM

This literature review is aimed to search for information on the use of machine learning techniques in the prediction and diagnosis of schizophrenia and the determination of its clinical features.

METHODS

The Google Scholar, PubMed, and eLIBRARY.ru databases were used to search for relevant data. The review included articles that had been published not earlier than January 1, 2010, and not later than March 31, 2023. Combinations of the following keywords were applied for search queries: machine learning, deep learning, schizophrenia, neural network, predictors, artificial intelligence, diagnostics, suicide, depressive, insomnia, and cognitive. Original articles regardless of their design were included in the review. Descriptive analysis was used to summarize the retrieved data.

RESULTS

Machine learning techniques are widely used in the functional assessment of patients with schizophrenia. They are used for interpretation of MRI, EEG, and actigraphy findings. Also, models created using machine learning algorithms can analyze speech, behavior, and the creativity of people and these data can be used for the diagnosis of psychiatric disorders. It has been found that different machine learning-based models can help specialists predict and diagnose schizophrenia based on medical history and genetic data, as well as epigenetic information. Machine learning techniques can also be used to build effective models that can help specialists diagnose and predict clinical manifestations and complications of schizophrenia, such as insomnia, depressive symptoms, suicide risk, aggressive behavior, and changes in cognitive functions over time.

CONCLUSION

Machine learning techniques play an important role in psychiatry, as they have been used in models that help specialists in the diagnosis of schizophrenia and determination of its clinical features. The use of machine learning algorithms is one of the most promising direction in psychiatry, and it can significantly improve the effectiveness of the diagnosis and treatment of schizophrenia.

Prevalence of sleep disturbance among adolescents with substance use: a systematic review and meta-analysis

PURPOSE

Sleep disturbance has become a major challenge among adolescents worldwide. Substance use is among the most common factors contributing to sleep disturbance. This systematic review and meta-analysis examined the prevalence and categories of sleep disturbance among adolescents with substance use.

METHODS

We comprehensively searched for relevant studies published in the following databases from inception to August 2022: CINHAL (via EBSCOhost), PubMed, Scopus, Ovid Medline, Embase, ProQuest, and Web of Science. Data analysis was performed using Comprehensive Meta-Analysis version 3 software. We used a random-effects model to pool prevalence rates with 95% confidence intervals (CIs). Forest plots and p values for the Cochran Q statistic were used to evaluate heterogeneity among studies. Subgroup and meta-regression analyses were performed to compare the groups and identify the sources of heterogeneity.

RESULTS

We examined 18 studies that reported insomnia, hypersomnolence, sleep-related breathing disorders as sleep disturbances among adolescents with the use of alcohol, smoking, marijuana, and coffee. The total sample was 124,554. The overall prevalence rate of sleep disturbance was 29% (95% CI: 0.201-0.403). Subgroup analysis revealed that the prevalence rates of insomnia and hypersomnolence were higher among alcohol users (31%; 95% CI: 0.100-0.654) and smokers (46%; 95% CI: 0.232-0.700). The study design and method of assessment groups were the significant moderators that showed the source of variation in the included studies.

CONCLUSION

Sleep disturbance is highly prevalent among adolescents with substance use. Insomnia and hypersomnolence are more prevalent among alcohol users and smokers, respectively. On the basis of our findings, health-care providers can develop effective targeted interventions to reduce substance use, prevent sleep disturbance, and promote healthy sleep habits among adolescents.

Age of Onset Moderates the Association between Total Antioxidant Capacity and Cognitive Deficits in Patients with Drug-Naïve Schizophrenia

Schizophrenia patients with an earlier age of onset have been found to have more serious negative symptoms and cognitive deficits. Oxidative stress is thought to be implicated in cognitive impairment in schizophrenia. Total antioxidant capacity (TAOC) is an essential indicator of oxidative stress. However, the association between age of onset, TAOC, and cognitive performance in schizophrenia remains unexplored. In this study, 201 patients (age: 26.5 ± 9.6 years; male: 53.2%) with drug-naïve schizophrenia were recruited. Clinical symptoms were evaluated using the Positive and Negative Syndrome Scale (PANSS). Cognitive functioning was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Plasma TAOC levels were analyzed using established procedures. Results showed that early-onset (EO) patients had higher TAOC levels, more severe negative symptoms and performed worse on visuospatial/constructional, language and RBANS total scores than non-EO patients. After Bonferroni correction, only non-EO patients showed a significant inverse relationship between TAOC levels and RBANS language, attention, and total scores. Our findings suggest that an early/late age of onset may be correlated with psychopathological symptoms, cognitive impairment and oxidative responses in schizophrenia. Furthermore, the age of onset may moderate the relationship between TAOC and cognitive function in patients with schizophrenia. These findings suggest that improving oxidative stress status in non-EO schizophrenia patients may enhance their cognitive function.

Inhibition of glycolysis prevents behavioural changes in mice with MK801-induced SCZ model by alleviating lactate accumulation and lactylation

Schizophrenia (SCZ) is a debilitating neuropsychiatric disorder with a complex aetiology. Cognitive symptoms and hippocampal changes have been implicated in the pathophysiology of SCZ. Changes in metabolites level and up-regulated glycolysis have been reported in previous studies, which may be related to the hippocampal dysfunction in SCZ. However, the pathological mechanism of glycolysis involved in the pathogenesis of SCZ remains unclear. Therefore, the change of glycolysis level and the involvement in SCZ need to be further studied. In our study, MK801 was used to induce an SCZ mouse model and cell model in vivo and in vitro. Western blotting was performed to evaluate the levels of glycolysis, metabolites, and lactylation in hippocampal tissue of mice with SCZ or cell models. The level of high mobility group protein 1 (HMGB1) in the medium of MK801-treated primary hippocampal neurons was examined. Apoptosis was evaluated in HMGB1-treated hippocampal neurons by flow cytometry. The glycolysis inhibitor 2-DG prevented behavioural changes in the MK801-induced SCZ mouse model. The lactate accumulation and level of lactylation were alleviated in the hippocampal tissue of MK801-treated mice. Glycolysis was enhanced, and lactate accumulated in MK-801-treated primary hippocampal neurons. In addition, the level of HMGB1 increased in the medium and induced apoptosis in primary hippocampal neurons. Together, the data showed that glycolysis and lactylation increased in the MK801-induced SCZ model in vivo and in vitro, and this effect could be prevented by 2-DG (a glycolysis inhibitor). Glycolytic related HMGB1 upregulation may induce apoptosis in hippocampal neurons downstream.

Global prevalence of malnutrition in patients with chronic obstructive pulmonary disease: Systemic review and meta-analysis

BACKGROUND

Malnutrition is a significant comorbidity among chronic obstructive pulmonary disease (COPD), but it has been often ignored. To date, the prevalence of malnutrition and its association with clinical parameters in the patients with COPD have not been well described. We aimed to investigate the prevalence of malnutrition and the prevalence of at-risk for malnutrition among COPD and the clinical impact of malnutrition on patients with COPD in a systematic review and meta-analysis.

METHODS

PubMed, Embase, Cochrane Library, and Web of Science were searched for articles describing the prevalence of malnutrition and/or at-risk for malnutrition from January 2010 to December 2021. Eligibility screening, data extraction, and quality assessment of the retrieved articles were conducted independently by two reviewers. Meta-analyses were performed to determine the prevalence of malnutrition and at-risk for malnutrition and the clinical impact of malnutrition on patients with COPD. Meta-regression and subgroup analyses were performed to explore the sources of heterogeneity. Comparisons were made between individuals with and without malnutrition according to pulmonary function, degree of dyspnea, exercise capacity, and mortality risk.

RESULTS

Out of the 4156 references identified, 101 were read full-text, of which 36 studies were included. The total number of involved patients included in this meta-analysis was 5289. The prevalence of malnutrition was 30.0% (95% CI 20.3 to 40.6), compared with an at-risk prevalence of 50.0% (95% CI 40.8 to 59.2). Both prevalences were associated with regions and measurement tools. The prevalence of malnutrition was associated with COPD phase (acute exacerbations and stable). COPD with malnutrition showed lower forced expiratory volume 1 s % predicted (mean difference (MD) -7.19, 95% CI -11.86 to -2.52), higher modified Medical Research Council dyspnea scores (MD 0.38, 95% CI 0.12 to 0.64), poorer exercise tolerance (standardized mean difference -0.29, 95% CI -0.54 to -0.05), and higher mortality risk (hazard ratio 2.24, 95% CI 1.23 to 4.06) compared to COPD without malnutrition.

CONCLUSION

Malnutrition and at-risk for malnutrition are common among COPD. Malnutrition negatively impacts important clinical outcomes of COPD.

Prevalence of violent communication within Indian organisations- A systematic review and meta-analysis

Background

Considering the normalisation of moderate aggression within organisations and the concern of violent occurrences being under-reported in India, violence reflected through coercive language appears to be more frequent than explicit acts of organisational violence.

Aim

To bring-forth consolidated evidence on the prevalence of violent communication within Indian organisations.

Method

1433 articles obtained from four major databases (PubMed, Scopus, Science Direct, Web of Science and Google scholar), complemented by 4 records identified through manual searching, were screened according to the PRISMA guidelines. Thirty-four finalised cross-sectional studies (published since 2000) reporting significant findings on the prevalence of violent communication within Indian organisations, underwent a systematic review (by narrative synthesis) and meta-analysis (using the random-effects model in STATA version 17).

Results

The pooled prevalence of any type of violent communication was 41%. The prevalence of violent communication was higher among males than females (44% vs 28%). Verbal violence was more prevalent than non-verbal violence (36% vs 20%). Subgroup analysis proved prevalence estimate to remain consistent irrespective of the organisational sector, type of organisation, sample size and publication year. However, meta-regression analysis confirmed the sampling method and type of violent communication as potential variables influencing the prevalence rates reported across the studies. All the identified factors influencing the occurrence of violent communication and the corresponding detrimental consequences faced by victims within each organisational sector, endeavour scope for the development of more context-specific prevention strategies.

Conclusion

As evident from the results, the prevalence of any type of violent communication within Indian organisations is quite high. The present review informs Indian entrepreneurs about the necessity for advocating practices to protect their human resources from the experience of violent communication. Practical implications have been presented for healthcare and educational organisations.

Prevalence of Venous Thromboembolism in Intensive Care Units: A Meta-Analysis

OBJECTIVE

Venous thromboembolism (VTE) is a life threating complication in intensive care units (ICUs). This study aimed to pool the prevalence of VTE and examined the risk factors of VTE in intensive care patients worldwide.

METHODS

A systematic search in PubMed, EMBASE and Web of Science databases was performed. Studies reported that the data on the prevalence of VTE or relevant information were synthesized using a random-effects model.

RESULTS

A total of 42 studies reporting on 27,344 patients were included. The pooled prevalence of VTE was 10.0% (95% CI: 7.0-14.0%). Subgroup and metaregression analyses found that thromboprophylaxis strategy, simplified acute physiology score (SAPS II), age, study quality, sample size, malignancy, sex, spinal cord injury and injury severity score (ISS) moderated the prevalence of VTE in intensive care patients.

CONCLUSIONS

The present meta-analysis revealed a high prevalence of VTE in critically ill patients. The risk factors of VTE included thromboprophylaxis strategy, SAPS II, age, malignancy, sex, spinal cord injury and ISS. Therefore, we need to pay more attention to high-risk populations of VTE in intensive care patients.

Exploring the trend of Schizophrenia at Hiwot Fana specialized university referral hospital, Eastern, Ethiopia (2016-2020): A 5-year retrospective analysis

Schizophrenia is one of the most troublesome psychiatric problems requiring long-term antipsychotic treatments. There is a scarcity of data regarding its overtime trend in Ethiopia.

Molecular prevalence of HBB-associated hemoglobinopathy among reproductive-age adults and the prenatal diagnosis in Jiangxi Province, southern central China

Background and aims: Hemoglobinopathy associated with the HBB gene, with its two general subtypes as thalassemia and abnormal hemoglobin (Hb) variants, is one of the most prevalent hereditary Hb disorders worldwide. Herein we aimed to elucidate the prevalence of ß-thalassemia and abnormal hemoglobin variants and the prenatal diagnosis of the HBB gene in Jiangxi Province, southern central China.

Methods: Hematological indices and capillary Hb electrophoresis were conducted for 136,149 subjects who were admitted to Jiangxi Maternal and Child Health Hospital and requested for hemoglobinopathy investigation. Routine α- and ß-globin genotyping were performed by gap-polymerase chain reaction (Gap-PCR) and reverse dot-blot (RDB) hybridization for the 11,549 individuals suspected to be thalassemia carriers. For participants whose genotypes could not explain their hematological indices, further Sanger sequencing and Gap-PCR were conducted for the detection of rare or novel variants in related globin genes. Prenatal diagnosis was performed for 77 pregnant couples both carrying ß-thalassemia trait at appropriate gestational ages.

Results: Among the 11,549 subjects, 2,548 individuals were identified with HBB-associated hemoglobinopathy based on molecular analysis. A total of 2,358 subjects were identified as ß-thalassemia heterozygous carriers and nine cases were diagnosed as compound heterozygous ß-thalassemia. Additionally, 125 cases were detected with composite α- and ß-thalassemia and the remaining 56 individuals with abnormal Hb variants in the HBB. A total of 35 types of variants were identified in the HBB gene, including 26 types of ß-thalassemia and nine types of abnormal Hb variants. Four novel variants were firstly reported, including one variant in HBA2 and three variants in HBB. Overall, 77 prenatal samples underwent ß-thalassemia molecular diagnosis; 20 fetuses were identified with normal ß-thalassemia genotypes, 30 fetuses as ß-thalassemia heterozygotes, 11 as homozygotes, and 16 as compound heterozygotes in HBB.

Conclusion: We have demonstrated a relatively high prevalence rate at 1.872% of ß-hemoglobinopathies including common and rare ß-thalassemia as well as abnormal Hb variants among large child-bearing population in the Jiangxi area of southern central China for the first time. Our data presents that prenatal diagnosis is an effective way to prevent and control birth defects of ß-thalassemia.

Where Sex Meets Gender: How Sex and Gender Come Together to Cause Sex Differences in Mental Illness

Sex differences are prevalent in multiple mental disorders. Internalizing disorders are more commonly diagnosed in women, whereas externalizing and neurodevelopmental disorders are more often diagnosed in men. Significant sex/gender differences are reported in prevalence, symptom profile, age of onset, comorbidities, functional impairment, prognosis, as well as in responses to various treatments. In this conceptual article, we discuss theories and empirical studies of sex- and gender-related influences in mental health, by focusing on three examples: autism spectrum disorder (ASD), acknowledged as a disorder whose roots are mainly biological; eating disorders, whose origins are considered to be mainly psychosocial, and posttraumatic stress disorder (PTSD), an environmentally caused disorder with both psychosocial and biological underpinnings. We examine the ways in which sex differences emerge, from conception through adulthood. We also examine how gender dichotomies in exposures, expectations, role assumptions, and cultural traditions impact the expression of our three selected mental illnesses. We are especially interested in how sex-based influences and gender-based influences interact with one another to affect mental illness. We suggest that sex and gender are multi-faceted and complex phenomena that result in variations, not only between men and women, but also within each sex and gender through alterations in genes, hormone levels, self-perceptions, trauma experiences, and interpersonal relationships. Finally, we propose a conceptual diatheses-stress model, depicting how sex and gender come together to result in multiple sex/gender differences across mental disorders. In our model, we categorize diatheses into several categories: biological, intrapersonal, interpersonal, and environmental. These diatheses interact with exposure to stressors, ranging from relatively minor to traumatic, which allows for the sometimes bidirectional influences of acute and long-term stress responses. Sex and gender are discussed at every level of the model, thereby providing a framework for understanding and predicting sex/gender differences in expression, prevalence and treatment response of mental disorders. We encourage more research into this important field of study.

Regional years of life lost, years lived with disability, and disability-adjusted life-years for severe mental disorders in Guangdong Province, China: a real-world longitudinal study

BACKGROUND

To understand the magnitude and spatial-temporal distribution of the regional burden attributable to severe mental disorders is of great essential and high policy relevance. The study aimed to address the burden of severe mental disorders by evaluating the years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) in Guangdong, China.

METHODS

We undertook a longitudinal study based on a multicenter database established by the Health Commission of Guangdong, involving a total of 21 prefectures and four economic regions in the Guangdong province. A total of 520,731 medical records from patients with severe mental disorders were collected for 2010-2020. Data were analyzed via an integrated evaluation framework by synthesizing prevalence estimates, epidemiological adjustment as well as comorbidity assessment to develop internally consistent estimates of DALY. DALY changes during 2010-2020 were decomposed by population growth and aging and further grouped by Socio-demographic Index (SDI). DALYs were projected to 2030 by the weighted median annualized rate of change in 2010-2020.

RESULTS

In 2010-2020, the average DALYs for severe mental disorders reached 798,474 (95% uncertainty interval [UI]: 536,280-1,270,465) person-years (52.2% for males, and 47.8% for females). Severe mental disorders led to a great amount of disease burden, especially in Guangzhou, Shenzhen, and Foshan cities. Schizophrenia and mental retardation with mental disorders were the two leading sources of the burden ascribed to severe mental disorders. Population growth and aging could be accountable for the increasing burden of severe mental disorders. Economic regions with higher SDI carried a greater burden but had lower annualized rates of change in DALYs. The overall burden of severe mental disorders is projected to rise modestly over the next decade.

CONCLUSIONS

The findings urge prioritization of initiatives focused on public mental health, prevention strategies, health resources reallocation, and active involvement of authorities to effectively address the anticipated needs.

Whole Transcriptome Sequencing Identified CircRNA Profiles and the Related Networks in Schizophrenia

Schizophrenia (SCZ) is a complex psychiatric syndrome with uncertain etiology. This study aimed to uncover the expression profiles and related regulatory networks of circular RNA (circRNA) in SCZ. Whole transcriptome sequencing was performed to assess the expression profiles of circRNAs and microRNAs (miRNAs) in the peripheral blood of three patients with SCZ and three healthy controls. Five circRNAs were validated by quantitative real-time PCR (RT-qPCR). TargetScan, RNAhybrid, and miRanda were performed to predict the target miRNAs of the top 10 dysregulated circRNAs. MiRTarBase was applied to predict the target mRNAs of miRNAs to construct circRNA-miRNA-mRNA (ceRNA) networks. CatRAPID and StarBase were used to predict the target RNA-binding proteins (RBPs) of circRNAs to construct circRNA-RBP networks. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to predict the potential functions of the maternal genes of circRNAs and target mRNAs. In total, 450 circRNAs and 160 miRNAs were found to be significantly differentially expressed, with hsa_circ_0003999 and hsa_circ_0030042 being significantly different between patients with SCZ and healthy controls (P < 0.05). The PI3K-AKT, MAPK, and cell cycle pathways were predicted to be associated with SCZ. GO analysis showed that focal adhesion was related to SCZ. The ceRNA networks, especially hsa_circ_0006151/hsa-miR-4685-3p/ZBTB16, hsa_circ_0000008/hsa-miR-1976/ZBTB16, and the hsa_circ_0007963/hsa-miR-3127-3p/UBE2K axes have the greatest probability of being involved in the pathophysiology of SCZ. The RBP networks, FXR1, FXR2, DGCR8, XRN2, FMR1, and QKI were the RBPs associated with SCZ. In conclusion, the circRNAs, ceRNAs, and RBP network expression patterns and related pathways indicate the potential role of circRNAs in the pathogenesis and development of SCZ.

Family caregiving and chronic illness management in schizophrenia: positive and negative aspects of caregiving

Background

We aimed to explore the long-term caregiving experiences of family caregivers of people with schizophrenia (PwS) in terms of both positive and negative aspects.

Method

Utilising a purposive sampling method, we conducted in-depth interviews with 20 family caregivers of persons who had suffered from schizophrenia for more than 20 years. We empirically investigated their retrospective experiences of caregiver-patient interactions during a long period of family caregiving. We audio-recorded and transcribed the interviews into text. We thematically coded and analysed the transcribed text using a four-phase method of theme development.

Findings

Schizophrenia might not only generate a caregiving burden, affect caregivers’ psychological status, and accordingly influence their coping strategies, but also have short- or long-term patient-related consequences.

Discussion

Family caregivers should develop their stress management skills to cope with relevant life changes and increase their knowledge of the potential psychological consequences for care recipients resulting from negative caregiving strategies during home-based practice. Care recipients with schizophrenia in a relatively stable status should be empowered to take care of themselves. More effective family-based interventions for psychiatric nursing or individualised training for symptom management should be tailored to serve families’ diverse needs.

Analysis of Gut Microbiota in Patients with Exacerbated Symptoms of Schizophrenia following Therapy with Amisulpride: A Pilot Study

Evidence is mounting that the gut microbiome is related to the underlying pathogenesis of schizophrenia. However, effects of amisulpride on gut microbiota are poorly defined. This study was aimed at analyzing cytokines and fecal microbiota in patients with exacerbated symptoms of schizophrenia treated with amisulpride during four weeks of their hospital stay. In the present study, feces collected from patients with schizophrenia were analyzed using 16S rRNA pyrosequencing and bioinformatic analyses to ascertain gut microbiome composition and fasting peripheral blood cytokines. We found that patients undergoing treatment of schizophrenia with amisulpride had distinct changes in gut microbial composition at the genus level, increased levels of short-chain fatty acid-producing bacteria (Dorea and Butyricicoccus), and reduced levels of pathogenic bacteria (Actinomyces and Porphyromonas), but the level of Desulfovibrio was still high. We also found a significant downregulation of butanoate metabolism based on functional analysis of the microbiome. After treatment, elevated levels of interleukin- (IL-) 4 and decreased levels of IL-6 were found. Our findings extend prior work and suggest a possible pharmacological mechanism of amisulpride treatment for schizophrenia, which acts via mediation of the gut microbiome.

A Retrospective Analysis of Death Among Chinese Han Patients with Schizophrenia from Shandong

Purpose

To describe the mortality rate and cause of death among Han Chinese schizophrenia patients and to explore the risk factors affecting survival.

Methods

We performed a retrospective analysis of death among patients with schizophrenia from Jan 1, 2012, to Dec 31, 2019, using the Severe Mental Disorders Information System of Shandong Province (henceforth referred to as the SMDI system) in Shandong, China. The cohort included 72,102 patients, and 11,766 patients died during follow-up. The data in this cohort study were derived from the SMDI system. We calculated the crude mortality rate and standardized mortality rate (SMR, standardized according to the sex and age composition of the population in Shandong Province) for patients with schizophrenia. Cox regression analysis was used to analyze the risk factors affecting patient survival, and the statistical index was the hazard ratio (HR).

Results

The mean age of the cohort patients was 47.21±14.05 years; 51.79% were males, and 48.21% were females. Among them, 68.98% (49,735) had only a primary education level, 85.36% (61,549) were farmers, 64.37% (46,413) were married, and 94.01% (67,775) received community management. A total of 16.32% of the cohort died. The SMR in patients with schizophrenia was 4.9, and it was higher for males than females (4.99 versus 4.82). Among the 6 registered causes of death, physical illness had the highest SMR (5.15), followed by other causes of death (4.86), mental illness-related complications (4.57), homicide (4.31), accidents (4.13), and suicide (3.87). Higher levels of education, employment (in-service status), marriage, and urban residence were protective factors for survival among patients with schizophrenia.

Conclusion

In China, the SMR of schizophrenia is relatively high, and physical diseases are the main cause of death. We suggest that a variety of measures should be taken early to treat somatic diseases and reduce SMR in patients with schizophrenia.

Disease risk analysis for schizophrenia patients by an automatic AHP framework

BACKGROUND

Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to support chronic disease management and clinical research for schizophrenia patients.

METHODS

Based on a mental health information and intelligent data processing platform, we design an automatic AHP framework called AutoAHP to analyze and predict the disease risks of schizophrenia patients. Through automatic extraction, transformation and integration of follow-up data in the real world such as demography, treatment, and the disease course, a chronic database of patient status is established. In combination with age-period-cohort, logistic regression and Cox models, we apply the AutoAHP to assess disease risk and implement risk prediction in practice.

RESULTS

A list of essential factors for risk prediction are identified, including annual changes in mental health policy, public support, regional difference, patient gender, compliance, and social function. After the verification of 1,222,038 complete disease course and treatment records of 256,050 patients, the AutoAHP framework achieves a precision of 0.923, a recall of 0.924, and a F1 of 0.923. The model is demonstrated to be superior to general models and has better performance in risk prediction.

CONCLUSIONS

Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.

Worldwide prevalence of inadequate work ability among hospital nursing personnel: A systematic review and meta-analysis

PURPOSE

To estimate the worldwide pooled prevalence of inadequate work ability among hospital nursing personnel using the Work Ability Index (WAI).

DESIGN

Systematic review and meta-analysis.

METHODS

A systematic search was conducted on Medline/PubMed, Scopus, Web of Science, Scielo, PsychInfo, CINAHL, Nursing and Allied Health, LILACS, and Google Scholar from inception to July 2021 to identify observational studies on work ability among hospital nursing personnel using the WAI. Two researchers independently completed the study selection, quality assessments, and data extraction on the prevalence of inadequate work ability that was pooled using the random effects model. Finally, subgroup analyses were performed to explore sources of heterogeneity.

FINDINGS

A total of 42 studies were included, consisting of 24,728 subjects worldwide from 14 countries. Of these, 35 studies were included in the meta-analytical analyses. The worldwide pooled prevalence of inadequate work ability among hospital nursing personnel was 24.7% (95% CI = 20.2%-29.4%). High levels of heterogeneity were detected in all studies. Prevalence was higher in studies where samples were composed of nurses and nursing assistive personnel (26.8%; 95% CI = 22.4%-31.5%) than in those of nurses alone (22.2%; 95% CI = 13.1%-32.9%) and in studies where the sample was over 40 (28.1%; 95% CI = 19.5%-37.5%) than in those with a sample under that age (22.4%; 95% CI = 15.8%-29.7%).

CONCLUSIONS

Almost one in four members of hospital nursing staff in the world has inadequate work ability and therefore are at risk of several negative outcomes during their working life. These prevalence data correspond to the pre-pandemic period, so new studies should also be especially useful in quantifying the impact of the COVID-19 pandemic on work ability in the hospital nursing workforce.

CLINICAL RELEVANCE

The above findings justify the launch of initiatives that include annual assessment for the early identification of inadequate work ability, offering the possibility of anticipated corrective measures. Nursing workforce older than 40 years and those belonging to the professional category of nursing assistive personnel should be priority target groups for screening and intervention to improve work ability.

Mindfulness meditation for Chinese patients with psychosis: A systematic review and meta-analysis

Mindfulness meditation (MM) and its alignment with the mind-body perspective of health in Chinese cultures indicate its potential to benefit Chinese patients with psychosis. This is the first systematic review and meta-analysis to address the following questions: (1) Does MM improve clinical, well-being, and third-wave outcomes (i.e., mindfulness, acceptance, and compassion levels) among Chinese patients with psychosis? (2) What are the patient- and/or intervention-specific factors that moderate the efficacy of MM? (3) Are improvements on third-wave outcomes associated with improvements on clinical and well-being outcomes? (4) What are the mechanisms underlying the effects of MM? Evidence synthesized from 23 relevant articles (20 studies) involving 1749 patients showed that (1) MM improved a wide range of patients' outcomes, most consistently and sustainably for insight, rehospitalization duration, recovery rate, and social functioning; (2) age and duration of illness, but not the cumulated intervention hours, moderated the overall efficacy of MM; (3) post-MM improvements on mindfulness and on clinical and well-being outcomes were related, and (4) the effects of MM on patients' outcomes may be driven by its ability to promote positive changes in personal growth and enhance one's coping with the illness and its symptoms. Our data showed preliminary support for the benefits of MM in Chinese patients with psychosis. However, results should be considered in light of the varying quality of included studies and their heterogeneity in multiple aspects. Further research is needed to deduce the sustainability of MM's effects, its active ingredients, underlying mechanisms, and additional moderators of its efficacy.

Worldwide prevalence of suicidal ideation and suicide plan among people with schizophrenia: a meta-analysis and systematic review of epidemiological surveys

Schizophrenia is a severe psychiatric disorder with high premature mortality rates. This is a meta-analysis and systematic review of the prevalence of suicidal ideation (SI) and suicide plan (SP) among people with schizophrenia. PubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 10, 2020. Data on prevalence of SI and/or SP were synthesized using the random effects model. Twenty-six studies covering 5079 people with schizophrenia were included for meta-analysis. The lifetime and point prevalence of SI were 34.5% (95% CI: 28.2-40.9%), and 29.9% (95% CI: 24.2-35.6%), respectively. The lifetime prevalence of SP was 44.3% and the point prevalence of SP ranged between 6.4 and 13%. Subgroup and meta-regression analyses revealed that source of patients, survey countries, and sample size were significantly associated with the point prevalence of SI, while male proportion and quality assessment scores were significantly associated with the lifetime and point prevalence of SI. Survey time and mean age were significantly associated with lifetime prevalence of SI. Both SI and SP are common in people living with schizophrenia, especially in males and inpatients. Routine screening and effective interventions for SI and SP should be implemented in this population.

Prevalence of schizophrenia and its association with socio-demographic correlates in an agricultural region of China

Little is known about the epidemiology of schizophrenia in the agricultural regions of China. This study examined the 1-month and lifetime prevalence of schizophrenia and their association with socio-demographic factors in Hebei province which is an important agricultural region of China. A multi-stage, stratified, cluster random sampling method was adopted. The diagnosis of schizophrenia was ascertained with the validated Structured Clinical Interview for DSM-IV Axis I Disorders-Patient Edition (SCID-I/P/C). Altogether, 23,675 subjects were screened, of whom, 20,884 were included for analyses. The weighted 1-month and lifetime prevalence of schizophrenia were 0.5 % [95 % confidence interval (CI): 0.4-0.5 %] and 0.6 % (95 %CI: 0.5-0.7 %), respectively. Multiple logistic regression analyses found that unmarried marital status [P < 0.001, Odd Ratio(OR)=2.670, 95 %CI:1.767-4.036], lower education level (primary school or below: P = 0.042, OR=2.447, 95 % CI: 1.034-5.933; secondary school: P = 0.002, OR = 4.261, 95 % CI:1.692-10.730), unemployment (P = 0.006, OR=1.870, 95 % CI:1.198-2.920), lower income (P < 0.001, OR=4.017, 95 % CI:2.207-7.310) and family history of psychiatric disorders (P < 0.001, OR=16.278, 95 % CI:10.435-25.393) were independently associated with a higher risk of schizophrenia, while age above 60 years (P = 0.004, OR=0.440, 95 % CI:0.253-0.765) was associated with a lower risk of schizophrenia. The prevalence of schizophrenia appeared to be lower in Hebei province compared to other regions of China or other countries. Socioeconomic factors should be further examined to inform the public health surveillance and policies relevant to schizophrenia in the agricultural regions of China.

Sex differences between serum total bilirubin levels and cognition in patients with schizophrenia

BACKGROUND

Cognitive deficits are common in patients with schizophrenia (SCZ). Abnormal serum total bilirubin (TBIL) levels have been involved in cognitive deficits associated with neuropsychiatric diseases such as mild cognitive impairment and subcortical ischemic vascular disease. However, this relationship has not yet been fully investigated in patients with SCZ. Therefore, the aim of this study was to investigate the association between the serum TBIL concentration and cognitive deficits in SCZ patients and to determine whether a sex difference exists in the association.

METHODS

A total of 455 participants were eligible and included in this cross-sectional study. Cognition was evaluated using the Montreal Cognitive Assessment. Serum TBIL concentration was measured with an automatic biochemistry analyzer according to the routine protocol in the hospital medical laboratory.

RESULTS

Serum TBIL levels were lower in the cognition impairment group than in the cognition normal group in male patients. In contrast, serum TBIL levels tended to be increased in the cognition impairment group in female patients, although the difference was not significant. Further stepwise multiple regression analysis stratified by sex showed that serum TBIL was independently and positively associated with cognitive function in male patients but not in female patients. Moreover, the association between serum TBIL level and cognitive function was also identified by the propensity score matching (PSM) method in male patients, but not in female patients.

CONCLUSION

These findings suggest that lower serum TBIL levels may be associated with cognitive impairment in male SCZ patients.

Inulin ameliorates schizophrenia via modulation of the gut microbiota and anti-inflammation in mice

The microbiome-gut-brain (MGB) axis, which regulates neurological and cognitive functions, plays an essential role in schizophrenia (SCZ) progression. Dietary inulin could be a novel strategy for the treatment of SCZ due to its modulating effects on the gut microbiota. In this study, the effects of inulin on mice with SCZ were studied. As indicated by the behavioural tests, expression of neurotransmitters, inflammatory indicators, and brain morphology, inulin administration ameliorated aberrant behaviours (locomotor hypoactivity, anxiety disorders and depressive behaviours, and impaired learning and spatial recognition memory) and effectively reduced neuroinflammation and neuronal damage. In addition, inulin improved intestinal integrity and permeability, as indicated by the elevated expression of tight junction proteins (p < 0.05). The results of 16S rRNA sequencing and analysis showed that inulin increased the abundance of Lactobacillus and Bifidobacterium, which were negatively correlated with 5-hydroxytryptamine and inflammatory cytokines and positively correlated with brain-derived neurotrophic factor (BDNF). Inulin caused a reduction in Akkermansia that was positively correlated with inflammatory cytokines and negatively correlated with BDNF. These results suggested that dietary inulin modulated the gut microbiota and exerted anti-inflammatory effects in mice though the MGB axis, which further ameliorated SCZ. Therefore, the results of this study provide a potential explanation for inulin intervention in the treatment of SCZ.

Oral health in patients with dementia: A meta-analysis of comparative and observational studies

OBJECTIVE

Poor oral health is common in dementia, but findings of epidemiological studies have been inconsistent. This meta-analysis examined oral health in patients with dementia diagnosed according to standardized diagnostic criteria.

METHODS

Six international databases (PubMed, EMBASE, PsycINFO, Medline, Cochrane Library, and Web of Science) were searched from their commencement date until 8 November 2018. Oral health was measured by the Remaining Teeth (RT) and Decayed, Missing, and Filled Teeth (DMFT) Index. The mean differences (MD) and 95% confidence intervals (CI) of DMFT Index total and component scores were calculated using a random-effect model.

RESULTS

Twenty-four studies were included for analyses. The pooled DMFT Index was 23.48 (95% CI: 22.34, 24.62), while the pooled score for each component was 2.38 (95% CI: 1.56, 3.20) in decayed teeth (DT), 18.39 (95% CI: 15.92, 20.87) in missing teeth (MT), 2.29 (95% CI: 0.62, 3.95) in filled teeth (FT), and 11.59 (95% CI: 9.14, 14.05) in RT. Compared to controls, people with dementia had significantly a higher DMFT Index total score (MD = 3.80, 95% CI: 2.21, 5.39, p < 0.00,001), and significantly lower number of RT (MD = -3.15, 95% CI: -4.23, -2.06, p < 0.00,001). Subgroup analyses revealed that higher DMFT Index score was significantly associated with year of survey (>2010), study design (case-control study), percentage of females (≤54.3), and the Mini Mental State Examination score (≤18.2). Higher MT score was significantly associated with study design (cross-sectional study), and lower FT score was significantly associated with year of survey (>2010).

CONCLUSIONS

Oral health was significantly poorer in people with dementia compared with controls. Regular screening and effective treatment should be implemented for this population.

Association of Urbanicity with Schizophrenia and Related Mortality in China: Association de l'urbanicité avec la schizophrénie et la mortalité qui y est reliée en Chine

OBJECTIVE

Although higher prevalence of schizophrenia in Chinese urban areas was observed, studies focused on the association between schizophrenia and urbanicity were less in China. Using a national representative population-based data set, this study aimed to investigate the relationship between urbanicity and schizophrenia and its related mortality among adults aged 18 years old and above in China.

METHODS

Data were obtained from the Second China National Sample Survey on Disability in 2006 and follow-up studies from 2007 to 2010 each year. We restricted our analysis to 1,909,205 participants aged 18 years or older and the 2,071 schizophrenia patients with information of survival and all-caused mortality of the follow-up surveys from 2007 to 2010.Schizophrenia was ascertained according to the International Statistical Classification of Diseases, 10th Revision. The degree of urbanicity and the region of residence were used to be the proxies of urbanicity. Of these, the degree of urbanicity measured by the ratio of nonagricultural population to total population and the region of residence measured by six categorical variables (first-tier cities, first-tier city suburbs, second-tier cities, second-tier city suburbs, other city areas, and rural areas). Logistics regression models and restricted polynomial splines were used to examine the linear/nonlinear relationship between urbanicity and the risk of schizophrenia. Cox proportional hazards regression models were used to test the role of urbanicity on mortality risk of schizophrenia patients.

RESULTS

10% increase in the degree of urbanicity was associated with increased risk of schizophrenia (OR = 1.44; 95% CI, 1.32 to 1.57). The nonlinear model further confirmed the association between the degree of urbanicity and the risk of schizophrenia. This association existed sex difference, as the level of urbanicity increased, schizophrenia risk of males grew faster than the risk of females. The hazard ratio (HR) of mortality in schizophrenia patients decreased with the elevated of urbanicity level, with a HR of 0.42 (95% CI, 0.21 to 0.84).

CONCLUSIONS

This research suggested that incremental changes in the degree of urbanicity linked to higher risk of schizophrenia, and as the degree of urbanicity elevated, the risk of schizophrenia increased more for men than for women. Additionally, we found that schizophrenia patients in higher degree of urbanicity areas had lower risk of mortality. These findings contributed to the literature on schizophrenia in developing nations under a non-Western context and indicates that strategies to improve mental health conditions are needed in the progress of urbanicity.

Preparation and characterization of a chiral molecularly imprinted polymer with a novel functional monomer for controlled release of S-sulpiride

A novel molecularly imprinted polymer (MIP) with chiral recognition affinity to S-sulpiride (S-SUL) enantiomer was prepared by using newly synthesized N-acryloyl-tryptophan (ATrp) as function monomer, S-SUL as the template molecule, and ethyleneglycol dimethacrylate (EGDMA) as the cross linker. Under the optimized synthesis conditions, the MIP was synthesized by bulk polymerization according to the molar ratio of 1:4 of S-SUL to ATrp, and structurally characterized by Fourier transform infrared spectroscopy (FT-IR), scanning electron microscope (SEM) and laser particle analysis. The results illustrated that the MIP offered uniform, loose and porous structure. The adsorption performance of the MIP was evaluated by the isotherm and kinetic models, and the adsorption isotherm conformed to the Freundlich model. The maximum adsorption capacity, selectivity factor and enantioselectivity coefficient to S-SUL were respectively 226.2389 µmol/g, 2.34 and 11.66. Based on the chiral recognition specificity, the drug release experiments demonstrated that the MIP as controlled and sustained release carrier could inhibit the release rate of S-enantiomer compared to the tablet without the MIP, exhibiting the potential of the MIP synthesized in chiral drug delivery.

Lifetime Prevalence and Correlates of Schizophrenia and Other Psychotic Disorders in Singapore

Introduction: The current study aimed to establish the lifetime prevalence of schizophrenia and other psychotic disorders, its sociodemographic correlates and association with physical disorders using data from the Singapore Mental Health Study (SMHS 2016). Methods: A two-phase design comprising population-level screening of psychotic symptoms using the World Health Organization Composite International Diagnostic Interview version 3.0 psychosis screen followed by clinical reappraisal based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria were used to establish the prevalence. Results: A total of 6,126 respondents completed the first phase of the study, giving a response rate of 69.5%. 5.2% (n = 326) of respondents endorsed at least one symptom in the psychosis screen. After the phase two clinical reappraisal interviews and adjusting for false-negative rate, the corrected prevalence of schizophrenia and other psychotic disorders was 2.3% (95% CI: 2.3-2.3%). The odds of having DSM-IV schizophrenia and other psychotic disorders was significantly higher among those of Malay ethnicity (OR = 3.9, 95% CI 1.4-11.0), and those who were unemployed (OR = 4.3, 95% CI 1.2-15.9). 80.4% of those with a psychotic disorder had consulted a doctor or a mental health professional for their symptoms. Conclusions: Our results indicate that approximately 2.3% of Singapore's community-dwelling adult population had a lifetime diagnosis of schizophrenia and other psychotic disorders. While the treatment gap of the disorder was relatively small, the severe nature of the disorder emphasizes the need for continued outreach and early diagnosis and treatment.

Prevalence and Clinical Correlation of Decayed, Missing, and Filled Teeth in Elderly Inpatients With Schizophrenia

Introduction: Schizophrenia is a mental disease with a profound impact on human health. Patients with schizophrenia have poor oral hygiene, increasing their risk of systemic diseases, such as respiratory infections, and declining their quality of life. Therefore, this study aims to assess the oral health status of inpatients with schizophrenia, analyze its related factors, and thus provide scientific evidence for further exploration of corresponding control strategies. Methods: A total of 425 inpatients older than 50 years with a diagnosis of schizophrenia from two psychiatric hospitals (mean age 58.49 ± 5.72 years) were enrolled. The demographic data of the patients were checked on admission. Two independent dentists examined caries, missing teeth, and fillings. Mini-Mental State Examination (MMSE) and Global Deterioration Scale were performed as cognitive tests. Positive and Negative Syndrome Scale and Repeatable Battery for the Assessment of Neuropsychological Status rating scale were used to determine their mental status. Results: The average decayed, missing, and filled teeth index was 12.99 ± 8.86. Linear regression analysis showed that the decayed, missing, and filled teeth index had a significantly positive relationship with age (p < 0.001) and smoking (p < 0.001) and a negative relationship with MMSE (p = 0.029). The missing teeth index had a positive relationship with age (p < 0.001), smoking (p < 0.001), and Global Deterioration Scale (p = 0.014) and a negative relationship with MMSE (p = 0.004). Conclusion: The oral health of elderly patients with schizophrenia is poor, which may be related to the cognitive level of patients and affect their quality of life. The focus should be provided to the oral care of patients with schizophrenia, and investment in their specialized oral treatment should be increased.

Schizophrenia and education in Chinese metropolises: a population-based study

OBJECTIVE

Schizophrenia is a public concern in metropolises. Increases in city size may strengthen the correlation between prevalence of schizophrenia and indices of socioeconomic status, such as education. This study used population-based data of adults to investigate the association between education and schizophrenia in Chinese metropolises and its differences between inner city areas and outer suburbs.

METHODS

Data was obtained from the Second China National Sample Survey on Disability in 2006, and analysis was restricted to 189,143 participants aged 18 years or older in all counties (districts) of Beijing, Shanghai, and Tianjin. Schizophrenia diagnoses were ascertained according to the International Statistical Classification of Diseases, 10th Revision. Logistic regression models were fitted to examine the association between education and schizophrenia.

RESULTS

An inverse U-shaped pattern between education and schizophrenia was found in inner city areas of Chinese metropolises. Compared with the primary school or below group, the odds ratios of junior high school group and senior high school or above group was 2.79 (95% CI 1.96, 3.96) and 1.45(95% CI 0.99, 2.13), respectively. In outer suburbs, junior high school (OR = 0.87, 95% CI 0.63, 1.19) and senior high school or above groups (0.58, 95% CI 0.38, 0.87) were less likely to develop schizophrenia than the primary school or below group.

CONCLUSIONS

This study showed an association between education and schizophrenia in Chinese metropolises. In inner city areas, the association was an inverse U-shaped pattern between education and schizophrenia, whereas in suburban areas, the association was a negative linear pattern. Our findings can help identify high-risk populations of schizophrenia in Chinese metropolises. Programs for prevention and early intervention of schizophrenia will need to consider the socioeconomic disparities between inner city and outer suburban areas. Public policies can help improve mental health by developing social security for migrants in inner city areas and promoting regional equality.

Worldwide prevalence of smoking cessation in schizophrenia patients: A meta-analysis of comparative and observational studies

Although the rate of cigarette smoking is high in schizophrenia patients, the prevalence of smoking cessation in this group is reportedly low. This meta-analysis aimed to examine the prevalence of cessation among schizophrenia patients worldwide. A systematic literature search in PubMed, PsycINFO, Medline, EMBASE, Cochrane Library and Web of Science was performed from their inception date until 15 November 2018. Studies that reported prevalence of smoking cessation were synthesized using a random-effects model. Fourteen studies were included. The pooled prevalence of smoking cessation among schizophrenia patients was 14.0 % (95 % CI: 9.2-18.8 %; I² = 97.3 %). Compared with schizophrenia patients, both healthy controls (OR = 0.45, 95 % CI:0.38-0.54, p < 0.001) and controls with other psychiatric disorders (OR = 0.79, 95 % CI:0.63-0.99, p = 0.004) had significantly higher prevalence of cessation. Subgroup and meta-regression analyses found that year of survey (after 2005), duration of smoking cessation (<6 months), outpatient setting and poor study quality were significantly associated with higher prevalence of smoking cessation. This meta-analysis found that the prevalence of smoking cessation was significantly lower among schizophrenia patients compared to healthy control and those with other psychiatric disorders. Better understanding of the barriers to smoking cessation and more effective measures for quitting smoking should be developed for patients with schizophrenia.

Poor Insight in Schizophrenia Patients in China: a Meta-Analysis of Observational Studies

Poor insight exists in all phases of schizophrenia and is associated with poor clinical prognosis and adverse psychosocial functioning. This is a meta-analysis examining the prevalence of poor insight and its correlates in Chinese patients with schizophrenia. Both major international (PubMed, EMBASE, PsycINFO, and Web of Science) and Chinese (WANFANG and CNKI) databases were systematically searched. The pooled prevalence of poor insight was calculated using the random-effects model. A total of 19 studies with 3112 schizophrenia patients were included. The prevalence of poor insight was 43.4% (95%CI: 36.0%-51.2%). Subgroup and meta-regression analyses revealed that the higher prevalence of poor insight was significantly associated with single-site design, smaller sample size, inpatient status, acute illness phase, higher male proportion, younger age, shorter duration of illness, lower study quality, and earlier publication year. Poor insight is common in Chinese schizophrenia patients. Considering the negative outcomes of poor insight, regular screening and effective psychosocial interventions should be delivered for this vulnerable population.

Prevalence of suicide-related behaviors among physicians: A systematic review and meta-analysis

OBJECTIVE

Suicide is a major cause of premature death among physicians, but the prevalence of suicide-related behaviors (including suicidal ideation, SI and suicide attempt, SA) is inconsistent across studies. This meta-analysis aimed to estimate the prevalence of suicide-related behaviors among physicians and its associated factors.

METHODS

PubMed, EMBASE, PsycINFO, and Cochrane library databases were systematically searched from commencement date to August 14, 2018. Eligible studies on the prevalence of suicide-related behaviors among physicians were included.

RESULTS

Thirty-five eligible studies with 70,368 physicians were included. The lifetime prevalence of SI was 17.4% (95% CI: 13.8%-21.8%), while the 1-year prevalence was 8.6% (95% CI: 7.1%-10.3%), 6-month prevalence was 11.9% (95% CI: 2.7%-39.2%), and 1-month prevalence was 8.6% (95% CI: 5.6%-13.0%). The lifetime prevalence of SA was 1.8% (95% CI: 0.9%-3.7%), while the 1-year prevalence was 0.3% (95% CI: 0.1%-0.8%). Subgroup analyses revealed that geographic region was significantly associated with lifetime and 1-year prevalence of SI, while sample size was significantly associated with 1-month prevalence of SI.

CONCLUSIONS

This meta-analysis found a relatively high prevalence of suicide-related behaviors, particularly lifetime SI, among physicians. Appropriate preventive and treatment measures should be implemented to reduce the risk of suicide-related behaviors in this population.

Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies

Objective: Poor sleep quality is common in nursing staff. This meta-analysis aimed to examine the pooled prevalence of poor sleep quality in nursing staff. Methods: A systematic search in PubMed, EMBASE, PsycINFO, and Web of Science databases was performed. Studies that reported sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were synthesized using a random-effects model. Results: Fifty-three studies were analyzed. The pooled prevalence of poor sleep quality was 61.0% (95% CI: 55.8-66.1%). The pooled total PSQI score was 7.13 ± 0.18 (95% CI: 6.78-7.50). The pooled component scores were 1.47 ± 0.20 (95% CI of mean score: 1.08-1.85) in sleep latency, 0.91 ± 0.15 (95% CI of mean score: 0.61-1.21) in sleep duration, 1.59 ± 0.13 (95% CI of mean score: 1.35-1.84) in overall sleep disturbances, 0.33 ± 0.18 (95% CI of mean score: 0-0.67) in sleeping medication, 1.21 ± 1.20 (95% CI of mean score: 0.83-1.60) in daytime dysfunction, 1.39 ± 0.14 (95% CI of mean score: 1.11-1.67) in subjective sleep quality, and 0.66 ± 0.11 (95% CI of mean score: 0.44-0.87) in habitual sleep efficiency. Subgroup and meta-regression analyses found that PSQI cutoff values, mean age, body mass index (BMI), sample size, study quality, and work experience moderated the prevalence of poor sleep quality. Conclusions: Poor sleep quality appears to be common in nursing staff. Considering its negative impact on health, effective measures should be taken to improve poor sleep quality in this population. Longitudinal studies should be conducted to examine the contributing factors of nurses' poor sleep quality.

Older adults at high risk of HIV infection in China: a systematic review and meta-analysis of observational studies

There is an increasing prevalence of human immunodeficiency virus (HIV) infection in older adults in China, but the findings across prevalence studies have been mixed. This is the first meta-analysis of the prevalence of HIV infection and its moderating factors in older adults in China. Two investigators systematically and independently searched both international (PubMed, PsycINFO, Web of Sciences and EMBASE) and Chinese (WanFang, CNKI, and CQVIP) databases. HIV infection rates in older adults were analyzed using the random-effects model. Altogether 46 studies were included in the analysis. The pooled prevalence of HIV infection in older adults was 2.1% (95% CI [1.9%–2.3%], I² = 99.4%). Subgroup analyses revealed that men who have sex with men (MSM), hospital population samples, publications after 2014, studies conducted in the western region of China, and higher study quality were significantly associated with higher HIV infection rate. This meta-analysis found that the HIV infection prevalence in older adults is significantly higher than the general population in China. Attention should be given to this urgent public health issue, and effective HIV/AIDS preventive, screening and treatment measures are warranted in this population. PROSPERO: CRD42019124286.

Gut microecology: Why our microbes could be key to our health

The human body contains a large number of microorganisms, and the gut microecology environment contains the largest number and types of microorganisms. The structure and function of gut microbiota are closely related to the health of the human body. In a cascade of studies, the diversity of gut microbiota and its metabolite often found changed in patients or mice model. What kind of gut microbiota that associated with the occurrence or treatment of diseases were also found in many studies. Gut microbiota and its products can affect the function of the human body. Short-chain fatty acids, bile acid, indoles and so on were found can regulate the inflammation, immune response to affect the process of diseases. Immune cells like natural killer T cells, CD3 + T cells were also found had a link to gut microbiota which associated with diseases. Changes in gut microbiota are associated with changes in the body's major systems, such as the digestive system, the endocrine system, the cardiovascular system, the endocrine and metabolic system, the urinary system diseases, the respiratory system and so on. It is of great significance to study gut microecology for the prevention and treatment of various human diseases.

Prevalence of comorbid depression in schizophrenia: A meta-analysis of observational studies

INTRODUCTION

Comorbid depressive symptoms (depression thereafter) often occur in schizophrenia and are associated with negative outcomes. This meta-analysis estimated the prevalence of comorbid depression and its associated factors in schizophrenia.

METHODS

Both international (PubMed, EMBASE, PsycINFO, and Web of Science) and Chinese (WANFANG and CNKI) databases were systematically searched. Studies with data on the prevalence of comorbid depression in schizophrenia measured with the Calgary Depression Scale for Schizophrenia (CDSS) were included. Random-effects models were used in all analyses.

RESULTS

Fifty-three studies covering 9,879 patients were included. The pooled prevalence of comorbid depression was 28.6% (95%CI: 25.3%-32.2%). Subgroup analyses revealed that studies examining inpatients, being published in Chinese language, or those with lower CDSS cut-od values reported higher depression rates. Meta-regression analyses indicated that the rate of depression was positively associated with publication year, proportion of males, mean age, and severity of psychotic symptoms, and negatively associated with illness duration and study quality.

CONCLUSION

Comorbid depression is common in schizophrenia. Due to its negative impact on patients' quality of life and prognosis, regular screening and effective treatment for comorbid depression should be implemented in patients with schizophrenia.

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia

Background

With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade.

Methods

Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis.

Results

The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients’ cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk.

Conclusions

Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.

Prevalence of Workplace Violence Against Health-Care Professionals in China: A Comprehensive Meta-Analysis of Observational Surveys

BACKGROUND

In China, workplace violence (WPV) toward health-care professionals has been a major concern, but no meta-analysis on this topic has been published. This study is a meta-analysis of the pooled prevalence of WPV against health-care professionals in China and its associated risk factors.

METHOD

English- (PubMed, PsycINFO, and Embase) and Chinese-language (Chinese National Knowledge Infrastructure, WanFang, and SinoMed) databases were systematically searched. Data on the prevalence of WPV and the subtypes of violence experienced by health-care professionals in China were extracted and pooled using random-effects models.

FINDINGS

A total of 47 studies covering 81,771 health-care professionals were included in the analyses. The overall prevalence of WPV from 44 studies with available data was 62.4% (95% confidence interval [CI] = [59.4%, 65.5%]). The estimated prevalence of physical violence, psychological violence, verbal abuse, threats, and sexual harassment were 13.7% (95% CI [12.2%, 15.1%]), 50.8% (95% CI [46.2%, 55.5%]), 61.2% (95% CI [55.1%, 67.4%]), 39.4% (95% CI [33.4%, 45.4%]), and 6.3% (95% CI [5.3%, 7.4%]), respectively. Males were more likely to experience WPV than females.

INTERPRETATION

WPV against health-care professionals appears to be a significant issue in China. Relevant policies and procedures related to WPV should be developed. Staff should be provided with adequate training, education, and support to implement violence management policies to ensure safety at the workplace.

Phosphoinositide-3-kinase regulatory subunit 1 gene polymorphisms are associated with schizophrenia and bipolar disorder in the Han Chinese population

Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric disorders that share many genetic risk factors. This study aimed to investigate the association of phosphoinositide-3-kinase regulatory subunit1 (PIK3R1) gene rs3756668 and rs3730089 polymorphisms with SCZ and BD risks and determine the expression levels of PIK3R1. A total of 548 SCZ cases, 512 BD cases, and 598 healthy controls were included in this study. Single nucleotide polymorphisms (SNPs) were genotyped using the Sequenom MassARRAY platform, and quantitative reverse transcription polymerase chain reaction was conducted to examine the mRNA expression of PIK3R1. The genotypic distribution of rs3756668 in the BD group was significantly different from that in the healthy controls (P = 0.038). After adjustment for gender and age was made, rs3730089 was significantly associated with the risk of SCZ [AA/(AG + GG): OR = 2.25, P_adj = 0.040; AA/GG: OR = 2.27, P_adj = 0.038]. The SNP rs3756668 was associated with the susceptibility of BD (AA+GG/AG: OR = 0.73, P = 0.011) and the association remained after adjusting for gender and age. The mRNA level of PIK3R1 was significantly upregulated in patients with BD compared with that in the control group (P < 0.001). In terms of the diagnostic value of PIK3R1 for BD, the receiver operating characteristic curve analysis showed an area under the curve of 0.809 with 74.0% sensitivity and 73.9% specificity. PIK3R1 may be the shared susceptibility gene of SCZ and BD and may be a potential diagnostic biomarker for BD.

Prevalence of burnout in mental health nurses in China: A meta-analysis of observational studies

OBJECTIVE

Burnout is common in mental health nurses because of work-related stress. Burnout has a negative impact on nurses' health and work performance. The prevalence of high burnout in mental health nurses has been inconclusive across studies. This meta-analysis aimed to estimate the pooled prevalence of high burnout in mental health nurses in China.

METHODS

Electronic databases (PubMed, EMBASE, PsycINFO, Web of Science, CNKI, WanFang and SinoMed) were independently and systematically searched from their commencement date up to 14 May 2018. Studies that reported the prevalence of any of the 3 burnout dimensions (high Emotional Exhaustion (EE), Depersonalization (DP), and low Personal Accomplishment (PA)) as measured by the Maslach Burnout Inventory (MBI) were included and analyzed using the random-effects model.

RESULTS

A total of 19 studies were included in this meta-analysis. The pooled prevalence of high EE was 28.1% (95% CI: 20.4-35.8%), DP was 25.4% (18.1-32.6%) and low PA was 39.7% (28.3-51.1%). Subgroup analyses found that short working experience, use of MBI-Human Services Survey (HSS), and younger age had moderating effects on prevalence of high burnout.

CONCLUSIONS

Burnout is common in mental health nurses in China. Considering its negative impact on health and work performance, regular screening, preventive measures and effective interventions should be implemented.

Predicting responses to electroconvulsive therapy in schizophrenia patients undergoing antipsychotic treatment: Baseline functional connectivity among regions with strong electric field distributions

This study explored imaging predictors of electroconvulsive therapy (ECT) outcome in schizophrenia patients based on pre-treatment functional connectivity (FC) within regions with strong ECT electric fields distribution. Forty-seven patients received standard antipsychotic drugs combined with ECT as well as two brain imaging sessions. Regions of interest (ROI) with strong electric field distribution were determined by ECT simulation. Using baseline functional connectivity between ROIs, a model was constructed to predict the percentage reduction of Positive and Negative Syndrome Scale (PANSS) scores. The strong electric fields were distributed in the orbital prefrontal lobe, medial temporal lobe, and other parts of the temporal lobe. Ten functional connectivity features within the electric field distribution areas showed a predictive ability for ECT outcome. The correlation coefficient between the predictive and real values of cross-validation was 0.7165. Among the predictive features, ECT induced a significant decrease in functional connectivity between the right amygdala and the left hippocampus. These results suggest that pretreatment functional connectivity patterns in brain regions with strong electric field distributions during ECT could be potential predictors of the efficacy of ECT augmentation in schizophrenia. These findings may help to improve individualized clinical treatment in the future.

The prevalence of agranulocytosis and related death in clozapine-treated patients: a comprehensive meta-analysis of observational studies

BACKGROUND

Clozapine treatment increases the risk of agranulocytosis, but findings on the epidemiology of agranulocytosis have been inconsistent. This meta-analysis examined the prevalence of agranulocytosis and related death in clozapine-treated patients.

METHODS

A literature search in the international (PubMed, PsycINFO, and EMBASE) and Chinese (WanFang, Chinese National Knowledge Infrastructure, and Sinomed) databases was conducted. Prevalence estimates of agranulocytosis and related death in clozapine-treated patients were synthesized with the Comprehensive Meta-Analysis program using the random-effects model.

RESULTS

Thirty-six studies with 260 948 clozapine-treated patients published between 1984 and 2018 were included in the meta-analysis. The overall prevalence of agranulocytosis and death caused by agranulocytosis were 0.4% (95% CI 0.3-0.6%) and 0.05% (95% CI 0.03-0.09%), respectively. The prevalence of agranulocytosis was moderated by sample size, study quality, year of publication, and that of data collection.

CONCLUSIONS

The prevalence of clozapine-associated agranulocytosis is low. Agranulocytosis-related death appears rare.