Severe mental illness and mortality in sepsis and septic shock: a systematic review and meta-analysis.

BACKGROUND: There have been conflicting reports regarding the case-fatality outcomes associated with sepsis and septic shock in patients with severe mental illness (SMI). METHODS: We searched Medline®, Web of Science® and the Cochrane Library® databases (from inception to 4-July-2023) for papers reporting outcomes associated with sepsis and septic shock in adult with (cases) vs. without SMI (controls). The main study outcome was the unadjusted case-fatality rate at hospital discharge, or 30 days if unavailable. Secondary outcomes included the rates of adjusted case-fatality at hospital discharge. RESULTS: A total of six studies were included in the systematic review, of which four provided data for meta-analysis involving 2,124,072 patients. Compared to controls, patients with SMI were younger and more frequently women. Unadjusted analyses showed that SMI patients had a lower case-fatality rate associated with sepsis and septic shock than their non-SMI counterparts (OR 0.61, 95% CI [0.58-0.65], PI 95% CI [0.49-0.77], I2 = 91%). Meta-regression and subgroup analyses showed that the denominator of the study population (i.e. septic shock or sepsis) was associated with the outcome with an R2 of 59.7%. CONCLUSION: In conclusion, our study reveals a survival advantage of SMI patients over their non-SMI counterparts. Further research is needed to fully elucidate the mechanisms involved and to develop targeted interventions that can improve the prognosis of both SMI and non-SMI patients facing sepsis.

Effects and safety of transcranial direct current stimulation on multiple health outcomes: an umbrella review of randomized clinical trials.

Transcranial direct current stimulation (tDCS), which delivers a direct current to the brain, emerged as a non-invasive potential therapeutic in treating a range of neurological and neuropsychiatric disorders. However, a comprehensive quantitative evidence synthesis on the effects of tDCS on a broad range of mental illnesses is lacking. Here, we systematically assess the certainty of the effects and safety of tDCS on several health outcomes using an umbrella review of randomized controlled trials (RCTs). The methodological quality of each included original meta-analysis was assessed by the A Measurement Tool for Assessing Systematic Reviews 2 (AMSTAR2), and the certainty of the evidence for each effect was evaluated with Grading of Recommendations, Assessment, Development, and Evaluation (GRADE). We followed an a priori protocol (PROSPERO CRD42023458700). We identified 15 meta-analyses of RCTs (AMSTAR 2; high 3, moderate 3, and low 9) that included 282 original articles, covering 22 unique health endpoints across 22 countries and six continents. From meta-analyses of RCTs supported by very low to high certainty of evidence, it was found that tDCS improved symptoms related to post-stroke, including post-stroke depression scale score (equivalent standardized mean difference [eSMD], 1.61 [95% confidence level, 0.72-2.50]; GRADE=moderate), activities of daily living independence (7.04 [3.41-10.67]; GRADE=high), motor recovery of upper and lower extremity (upper extremity: 0.15 [0.06-0.24], GRADE=high; lower extremity: 0.10 [0.03-0.16], GRADE=high), swallowing performance (GRADE=low), and spasticity (GRADE=moderate). In addition, tDCS had treatment effects on symptoms of several neurological and neuropsychiatric disorders, including obsessive-compulsive disorder (0.81 [0.44-1.18]; GRADE=high), pain in fibromyalgia (GRADE=low), disease of consciousness (GRADE=low), insight score (GRADE=moderate) and working memory (0.34 [0.01-0.67]; GRADE=high) in schizophrenia, migraine-related pain (-1.52 [-2.91 to -0.13]; GRADE=high), attention-deficit/hyperactivity disorder (reduction in overall symptom severity: 0.24 [0.04-0.45], GRADE=low; reduction in inattention: 0.56 [0.02-1.11], GRADE=low; reduction in impulsivity: 0.28 [0.04-0.51], GRADE=low), depression (GRADE=low), cerebellar ataxia (GRADE=low), and pain (GRADE=very low). Importantly, tDCS induced an increased number of reported cases of treatment-emergent mania or hypomania (0.88 [0.62-1.13]; GRADE=moderate). We found varied levels of evidence for the effects of tDCS with multiple neurological and neuropsychiatric conditions, from very low to high certainty of evidence. tDCS was effective for people with stroke, obsessive-compulsive disorder, fibromyalgia, disease of consciousness, schizophrenia, migraine, attention-deficit/hyperactivity disorder, depression, cerebellar ataxia, and pain. Therefore, these findings suggest the benefit of tDCS for several neurological and neuropsychiatric disorders; however, further studies are needed to understand the underlying mechanism and optimize its therapeutic potential.

Clinical characteristics and outcomes of patients with mpox during the 2022 mpox outbreak compared with those before the outbreak: A systematic review and meta-analysis.

On 23 July 2022, the World Health Organization declared the global mpox outbreak as a public health emergency of international significance. The mpox virus (MPXV) that caused the outbreak was classified as clade IIb, which belongs to the West African clade. However, the relationship between MPXV clades and symptoms, as well as the severity of mpox outcomes, is not fully understood. Thus, we aimed to investigate the global mpox prevalence and the differences in clinical manifestations and outcomes among patients with mpox between pre-outbreak (2003-2021) and the current mpox outbreak. In this systematic review and meta-analysis, PubMed/MEDLINE, Web of Science, Embase, Cumulative Index to Nursing and Allied Health Literature, and Google Scholar were searched using the keyword "monkeypox" and "mpox" up to 13 October 2022. A random effects model was used to obtain the pooled prevalence and 95% confidence intervals. This study included 27 articles, and 5698 patients with mpox with 19 distinctive features from 19 countries across five continents were assessed. Patients with mpox during the 2022 mpox outbreak showed mild clinical manifestations and outcomes compared with those before the 2022 mpox outbreak: mild rash (relative ratio [RR]: 5.09, 95% confidence interval [CI]: 1.52-17.08), fever (0.68, 0.49-0.94), pruritus (0.25, 0.19-0.32), myalgia (0.50, 0.31-0.81), headache (0.56, 0.35-0.88), skin ulcer (0.32, 0.17-0.59), abdominal symptom (0.29, 0.20-0.42), pharyngitis (0.32, 0.18-0.58), nausea or vomiting (0.15, 0.02-0.93), conjunctivitis (0.11, 0.03-0.38), concomitant infection with HIV (1.70, 0.95-3 0.04), and death (0.02, 0.001-0.31). MPXV clade IIb exhibited higher infectivity but may cause mild disease symptoms and low mortality rate. It is important to consider MPXV infection in patients with mpox-related features and/or a history of sexual transmission to prevent the spread of the disease and recognise the current pandemic threat.

Long-Term Autoimmune Inflammatory Rheumatic Outcomes of COVID-19 : A Binational Cohort Study.

BACKGROUND: Some data suggest a higher incidence of diagnosis of autoimmune inflammatory rheumatic diseases (AIRDs) among patients with a history of COVID-19 compared with uninfected patients. However, these studies had methodological shortcomings. OBJECTIVE: To investigate the effect of COVID-19 on long-term risk for incident AIRD over various follow-up periods. DESIGN: Binational, longitudinal, propensity-matched cohort study. SETTING: Nationwide claims-based databases in South Korea (K-COV-N cohort) and Japan (JMDC cohort). PARTICIPANTS: 10 027 506 Korean and 12 218 680 Japanese patients aged 20 years or older, including those with COVID-19 between 1 January 2020 and 31 December 2021, matched to patients with influenza infection and to uninfected control patients. MEASUREMENTS: The primary outcome was onset of AIRD (per appropriate codes from the International Classification of Diseases, 10th Revision) 1, 6, and 12 months after COVID-19 or influenza infection or the respective matched index date of uninfected control patients. RESULTS: Between 2020 and 2021, among the 10 027 506 Korean participants (mean age, 48.4 years [SD, 13.4]; 50.1% men), 394 274 (3.9%) and 98 596 (0.98%) had a history of COVID-19 or influenza, respectively. After propensity score matching, beyond the first 30 days after infection, patients with COVID-19 were at increased risk for incident AIRD compared with uninfected patients (adjusted hazard ratio, 1.25 [95% CI, 1.18 to 1.31]) and influenza-infected control patients (adjusted hazard ratio, 1.30 [CI, 1.02 to 1.59]). The risk for incident AIRD was higher with more severe acute COVID-19. Similar patterns were observed in the Japanese cohort. LIMITATIONS: Referral bias due to the pandemic; residual confounding. CONCLUSION: SARS-CoV-2 infection was associated with increased risk for incident AIRD compared with matched patients without SARS-CoV-2 infection or with influenza infection. The risk for incident AIRD was higher with greater severity of acute COVID-19. PRIMARY FUNDING SOURCE: National Research Foundation of Korea.

Self-stigma in schizophrenia: a systematic review and meta-analysis of 37 studies from 25 high- and low-to-middle income countries.

In schizophrenia, it is currently thought that stigma experience is increased by psychotic and depressive symptomatology, exposure to stigma at the workplace, and that self-stigma levels vary across countries without knowing the factors explaining these variations. The aim of the present meta-analysis was to synthetize the data of observational studies comprehensively exploring multiple self-stigma dimensions and associated factors. A systematic literature search without language or time restrictions was conducted in Medline, Google Scholar, and Web of Science for studies, last 09/2021. Eligible studies that included ≥80% of patients diagnosed with schizophrenia-spectrum disorders and used a validated scale measuring self-stigma dimensions were meta-analysed using random-effects models, followed by subgroup and meta-regression analyses. Study registration: PROSPERO CRD42020185030. Overall, 37 studies (n = 7717) from 25 countries (5 continents) published between 2007 and 2020 were included, with 20 studies conducted in high-income countries. These studies used two scales with total scores ranging 1-4. The mean estimate of perceived stigma was 2.76 [95% confidence interval (CI) = 2.60-2.94], experienced stigma 2.29 [95% CI = 2.18, 2.41], alienation 2.40 [95% CI = 2.29, 2.52], stereotype endorsement 2.14 [95% CI = 2.03, 2.27], social withdrawal 2.28 [95% CI = 2.17, 2.39] and stigma resistance 2.53 [95% CI = 2.43, 2.63]). Self-stigma levels did not reduce over time. Living outside urban areas, low-income, singleness, unemployment, high antipsychotic dose and low functioning were associated with different stigma dimensions. Some stigma dimensions were lower in studies carried out in Europe compared to other regions. Most studies published since 2007 report that self-stigma is a particular concern for a specific subgroup of patients. This subgroup is characterized by unemployment, high antipsychotic dose and low functioning. We identified important other missing factors that should be explored to improve the effectiveness of public policies and personalized interventions to reduce self-stigma. Importantly, classical illness severity indices (psychotic severity, age at illness onset, illness duration) and sociodemographic variables (age, sex and education) were not associated with self-stigma, moderating previous findings.

Real-world effectiveness of long-acting injectable antipsychotic treatments in a nationwide cohort of 12,373 patients with schizophrenia-spectrum disorders.

This mirror-image study aimed to evaluate the real-life effectiveness of long-acting injectable antipsychotics (LAI) in schizophrenia. Patients with schizophrenia initiating LAIs January 2015-December 2016 were enrolled from the French National Health Data System (SNDS). Standardized mean differences (SMD > 0.1 deemed clinically significant) were calculated for psychiatric healthcare resource utilization measures assessed one year before (during oral AP treatment) and one year after LAI initiation. LAI effectiveness was analyzed overall and by age group, gender and compliance to oral AP, defined as exposure to an AP for at least 80% of the year before LAI initiation. 12,373 patients were included. LAIs were more frequently initiated in men (58.1%), young (18-34 years, 42.0%) and non-compliant (63.7%) patients. LAI initiation was effective in reducing the number and duration of psychiatric hospitalizations and psychiatric emergency department (ED) admissions in non-compliant patients (SMD = -0.19, -0.26 and -0.12, respectively), but not in compliant patients. First-generation LAIs, paliperidone and aripiprazole LAIs reduced psychiatric hospitalizations (SMD = -0.20, -0.24, -0.21, respectively) and ED admissions (SMD = -0.15, -0.13, -0.15, respectively). No differences in effectiveness were found for age or gender. In compliant patients, only aripiprazole LAI reduced the number of psychiatric hospitalizations (SMD = -0.13). Risperidone and paliperidone LAIs increased hospitalization duration (SMD = 0.15 and 0.18, respectively). The prescription of LAIs (except risperidone) should be recommended in all non-compliant patients, even in women and patients aged 35 or older. The lower frequency of administration of LAIs than of oral APs may improve compliance and hence reduce the risk of relapse. Aripiprazole LAI may represent a treatment of choice for compliant patients that should be further investigated.

How can we improve the care of patients with schizophrenia in the real-world? A population-based cohort study of 456,003 patients.

An important step to improve outcomes for patients with schizophrenia is to understand treatment patterns in routine practice. The aim of the current study was to describe the long-term management of patients with schizophrenia treated with antipsychotics (APs) in real-world practice. This population-based study included adults with schizophrenia and who had received ≥3 deliveries of an AP from 2012-2017, identified using a National Health Data System. Primary endpoints were real-life prescription patterns, patient characteristics, healthcare utilization, comorbidities and mortality. Of the 456,003 patients included, 96% received oral APs, 17.5% first-generation long-acting injectable APs (LAIs), and 16.1% second generation LAIs. Persistence rates at 24 months after treatment initiation were 23.9% (oral APs), 11.5% (first-generation LAIs) and 20.8% (second-generation LAIs). Median persistence of oral APs, first-generation LAIs and second-generation LAIs was 5.0, 3.3, and 6.1 months, respectively. Overall, 62.1% of patients were administered anxiolytics, 45.7% antidepressants and 28.5% anticonvulsants, these treatments being more frequently prescribed in women and patients aged ≥50 years. Dyslipidemia was the most frequent metabolic comorbidity (16.2%) but lipid monitoring was insufficient (median of one occasion). Metabolic comorbidities were more frequent in women. Standardized patient mortality remained consistently high between 2013 and 2015 (3.3-3.7 times higher than the general French population) with a loss of life expectancy of 17 years for men and 8 years for women. Cancer (20.2%) and cardiovascular diseases (17.2%) were the main causes of mortality, and suicide was responsible for 25.4% of deaths among 18-34-year-olds. These results highlight future priorities for care of schizophrenia patients. The global persistence of APs used in this population was low, whereas rates of psychiatric hospitalization remain high. More focus on specific populations is needed, such as patients aged >50 years to prevent metabolic disturbances and 18-34-year-olds to reduce suicide rates.

Global association of secondhand smoke exposure locations and smoking behaviour among adolescents in 99 countries.

AIM: This study classified 99 countries into four income groups and then analysed the impact of secondhand smoke (SHS) exposure at home, in public places and at school, on current cigarette smoking prevalence. METHODS: We utilised data from the WHO Global Youth Tobacco Survey and a meta-analysis was conducted to evaluate the prevalence and weighted odds ratios (wORs) of adolescent smoking behaviour and SHS exposure locations. RESULTS: Both smoking behaviours increased with higher national income levels. Smoking behaviours in high and upper-middle-income countries (HICs and UMICs) exhibited an association with SHS exposure in public places (HIC: wOR, 3.50 [95% CI, 2.85-4.31]; UMIC: wOR, 2.90 [2.60-3.23]) compared to home. Low- and lower-middle-income countries (LICs and LMICs) showed an association with SHS exposure in the home (LIC: wOR, 5.33 [3.59-7.93]; LMIC: wOR, 2.71 [2.33-3.17]) than public places. The association between current cigarette smoking and SHS exposure at home increased with lower income levels, while anticipated future use of any form of tobacco with SHS exposure in public places rose in lower income countries. CONCLUSIONS: Targeted interventions based on income levels are essential, emphasising home strategies in lower income countries and public place efforts in higher income countries.

Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts.

BACKGROUND: Given the additional risk of suicide-related behaviors in adolescents with allergic rhinitis (AR), it is important to use the growing field of machine learning (ML) to evaluate this risk. OBJECTIVE: This study aims to evaluate the validity and usefulness of an ML model for predicting suicide risk in patients with AR. METHODS: We used data from 2 independent survey studies, Korea Youth Risk Behavior Web-based Survey (KYRBS; n=299,468) for the original data set and Korea National Health and Nutrition Examination Survey (KNHANES; n=833) for the external validation data set, to predict suicide risks of AR in adolescents aged 13 to 18 years, with 3.45% (10,341/299,468) and 1.4% (12/833) of the patients attempting suicide in the KYRBS and KNHANES studies, respectively. The outcome of interest was the suicide attempt risks. We selected various ML-based models with hyperparameter tuning in the discovery and performed an area under the receiver operating characteristic curve (AUROC) analysis in the train, test, and external validation data. RESULTS: The study data set included 299,468 (KYRBS; original data set) and 833 (KNHANES; external validation data set) patients with AR recruited between 2005 and 2022. The best-performing ML model was the random forest model with a mean AUROC of 84.12% (95% CI 83.98%-84.27%) in the original data set. Applying this result to the external validation data set revealed the best performance among the models, with an AUROC of 89.87% (sensitivity 83.33%, specificity 82.58%, accuracy 82.59%, and balanced accuracy 82.96%). While looking at feature importance, the 5 most important features in predicting suicide attempts in adolescent patients with AR are depression, stress status, academic achievement, age, and alcohol consumption. CONCLUSIONS: This study emphasizes the potential of ML models in predicting suicide risks in patients with AR, encouraging further application of these models in other conditions to enhance adolescent health and decrease suicide rates.

Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study.

BACKGROUND: Suicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statistical methods. OBJECTIVE: This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets and machine learning (ML). METHODS: We used data from the Korea Youth Risk Behavior Web-based Survey with 566,875 adolescents aged between 13 and 18 years and conducted external validation using the Youth Risk Behavior Survey with 103,874 adolescents and Norway's University National General Survey with 19,574 adolescents. Several tree-based ML models were developed, and feature importance and Shapley additive explanations values were analyzed to identify risk factors for adolescent suicidal thinking. RESULTS: When trained on the Korea Youth Risk Behavior Web-based Survey data from South Korea with a 95% CI, the XGBoost model reported an area under the receiver operating characteristic (AUROC) curve of 90.06% (95% CI 89.97-90.16), displaying superior performance compared to other models. For external validation using the Youth Risk Behavior Survey data from the United States and the University National General Survey from Norway, the XGBoost model achieved AUROCs of 83.09% and 81.27%, respectively. Across all data sets, XGBoost consistently outperformed the other models with the highest AUROC score, and was selected as the optimal model. In terms of predictors of suicidal thinking, feelings of sadness and despair were the most influential, accounting for 57.4% of the impact, followed by stress status at 19.8%. This was followed by age (5.7%), household income (4%), academic achievement (3.4%), sex (2.1%), and others, which contributed less than 2% each. CONCLUSIONS: This study used ML by integrating diverse data sets from 3 countries to address adolescent suicide. The findings highlight the important role of emotional health indicators in predicting suicidal thinking among adolescents. Specifically, sadness and despair were identified as the most significant predictors, followed by stressful conditions and age. These findings emphasize the critical need for early diagnosis and prevention of mental health issues during adolescence.

Insights of undergraduate health sciences students about a French interprofessional training initiative.

BACKGROUND: Incorporating interprofessional collaboration within healthcare is critical to delivery of patient-centered care. Interprofessional Education (IPE) programs are key to promoting such collaboration. The 'Public Health Service' (PHS) in France is a mandatory IPE initiative that embodies this collaborative spirit, bringing together students from varied health undergraduate training programs-nursing, physiotherapy, pharmacy, midwifery, and medicine- in a common training program focused on primary prevention. The aim of the study was to assess the experience and attitudes of students in the five health training programs regarding the interest of IPEs in the PHS. METHODS: A cross-sectional survey was administered to 823 students from the 2022-2023 cohort at a French university. The questionnaire was designed with 12 Likert-scale questions specifically created to evaluate the students' experiences, knowledge, and attitudes focused on IPE during the practical seminars, school interventions, and the overall PHS. Additionally, an open-ended question was utilized to gather qualitative data. Statistical analyses assessed satisfaction levels across undergraduate training programs, while thematic analysis was applied to the qualitative responses. RESULTS: Within the surveyed cohort, 344 students responded to the survey. The findings showed that students were satisfied with the interprofessional collaboration, both in practical teaching sessions (75% satisfaction) and in primary prevention projects conducted in schools (70% satisfaction), despite their having faced challenges with coordination. Pharmacy students, in particular, highlighted the need for adjustments in program scheduling. The qualitative feedback underscored the positive value of IPE, notwithstanding the organizational difficulties stemming from different academic timetables. CONCLUSION: The student feedback indicated a high level of satisfaction with the interprofessional work carried out in both the practical teaching and the primary prevention projects. To further enhance the educational impact and address the scheduling complexities, it is recommended that program refinements be made based on student feedback and pedagogical best practices.

Is mindfulness practice "at risk" of increasing spirituality? Systematic review and critical analysis of a claimed effect.

INTRODUCTION: Mindfulness meditation has gained prominence in somatic and psychiatric care in several countries including France. Studies have shown its effectiveness in various conditions, in particular the prevention of depressive relapses. However, there are criticisms and concerns about its potential links to Buddhism and spirituality, raising issues of secularism and sectarianism. This issue is particularly conflicting in France with regard its historical and political relationship with secularism. OBJECTIVES: This study aims to assess quantitative data regarding the impact of mindfulness meditation on spirituality and religiosity using quantitative validated scales. METHODS: A systematic review was conducted. PubMed was searched for relevant studies using keywords related to mindfulness and spirituality/religiosity scales. Four scales assessing spirituality were identified: FACIT-sp, INSPIRIT, DSES, and DUREL. Qualitative analysis determined if scale items pertained to spirituality or other topics considered by opponents to mindfulness as "at risk" for deviances or sectarian aberrations. Quantitative analysis assessed the effect size of changes in scale scores before and after mindfulness meditation interventions. RESULTS: Eighteen studies were analyzed, with varying scales and program durations including 1272 participants. Qualitative analysis showed that most scales contained items related to spirituality as well as "at risk" elements like religion and mysticism. Quantitative analysis revealed that a few studies reported significant increases in spirituality scores following mindfulness meditation, but the clinical relevance of these changes was questioned. In general, control groups had smaller score changes. INTERPRETATION: While some studies suggest a potential increase in spirituality due to mindfulness meditation, the clinical significance of these findings remains uncertain. Moreover, mindfulness meditation's ties to Buddhism are disputed, and its roots are intertwined with various psychotherapy traditions that incorporate spirituality. The role of secularism in psychotherapy is also debated in France, emphasizing the need for proper use and regulation policy rather than prohibition of mindfulness-based approaches. This study highlights the complexity of assessing the impact of mindfulness meditation on spirituality and religiosity. It suggests that a pragmatic approach focusing on risk and harm reduction may be more suitable than labeling the practice as "at risk". Further research is needed to clarify these issues in the specific cultural context of France.

Association of severe mental illness and septic shock case fatality rate in patients admitted to the intensive care unit: A national population-based cohort study.

BACKGROUND: Patients with severe mental illness (SMI) (i.e., schizophrenia, bipolar disorder, or major depressive disorder) have been reported to have excess mortality rates from infection compared to patients without SMI, but whether SMI is associated with higher or lower case fatality rates (CFRs) among infected patients remains unclear. The primary objective was to compare the 90-day CFR in septic shock patients with and without SMI admitted to the intensive care unit (ICU), after adjusting for social disadvantage and physical health comorbidity. METHODS AND FINDINGS: We conducted a nationwide, population-based cohort study of all adult patients with septic shock admitted to the ICU in France between January 1, 2014, and December 31, 2018, using the French national hospital database. We matched (within hospitals) in a ratio of 1:up to 4 patients with and without SMI (matched-controls) for age (5 years range), sex, degree of social deprivation, and year of hospitalization. Cox regression models were conducted with adjustment for smoking, alcohol and other substance addiction, overweight or obesity, Charlson comorbidity index, presence of trauma, surgical intervention, Simplified Acute Physiology Score II score, organ failures, source of hospital admission (home, transfer from other hospital ward), and the length of time between hospital admission and ICU admission. The primary outcome was 90-day CFR. Secondary outcomes were 30- and 365-day CFRs, and clinical profiles of patients. A total of 187,587 adult patients with septic shock admitted to the ICU were identified, including 3,812 with schizophrenia, 2,258 with bipolar disorder, and 5,246 with major depressive disorder. Compared to matched controls, the 90-day CFR was significantly lower in patients with schizophrenia (1,052/3,269 = 32.2% versus 5,000/10,894 = 45.5%; adjusted hazard ratio (aHR) = 0.70, 95% confidence interval (CI) 0.65,0.75, p < 0.001), bipolar disorder (632/1,923 = 32.9% versus 2,854/6,303 = 45.3%; aHR = 0.70, 95% CI = 0.63,0.76, p < 0.001), and major depressive disorder (1,834/4,432 = 41.4% versus 6,798/14,452 = 47.1%; aHR = 0.85, 95% CI = 0.81,0.90, p < 0.001). Study limitations include inability to capture deaths occurring outside hospital, lack of data on processes of care, and problems associated with missing data and miscoding in medico-administrative databases. CONCLUSIONS: Our findings suggest that, after adjusting for social disadvantage and physical health comorbidity, there are improved septic shock outcome in patients with SMI compared to patients without. This finding may be the result of different immunological profiles and exposures to psychotropic medications, which should be further explored.

Global Incidence and Prevalence of Eosinophilic Esophagitis, 1976-2022: A Systematic Review and Meta-analysis.

BACKGROUND AND AIMS: Owing to 2018 expanded diagnostic criteria for eosinophilic esophagitis (EoE) and thus a possible increase in diagnosis, previous studies on the global incidence and prevalence of EoE may need to be updated. We aimed to describe global, regional, and national trends in the incidence and prevalence of EoE from 1976 to 2022 and analyze their associations with geographic, demographic, and social factors through a systematic review. METHODS: We searched the PubMed/MEDLINE, Embase, CINAHL, Google Scholar, and Cochrane databases from their inception dates to December 20, 2022, for studies that reported the incidence or prevalence of EoE in the general population. We calculated the global incidence and prevalence of EoE using pooled estimates with 95% confidence intervals (CIs) and performed subgroup analysis based on age, sex, race, geographical area, World Bank income group, and diagnostic criteria of EoE. RESULTS: Forty studies met the eligibility criteria, including over 288 million participants and 147,668 patients with EoE from 15 countries across the five continents. The global pooled incidence and prevalence of EoE were 5.31 cases per 100,000 inhabitant-years (95% CI, 3.98-6.63; number of studies, 27; sample population, 42,191,506) and 40.04 cases per 100,000 inhabitant-years (95% CI, 31.10-48.98; number of studies, 20; sample population, 30,467,177), respectively. The pooled incidence of EoE was higher in high-income countries (vs low- or middle-income countries), males, and North America (vs Europe and Asia). The global prevalence of EoE followed a similar pattern. The pooled prevalence of EoE gradually increased from 1976 to 2022 (1976-2001; 8.18; 95% CI, 3.67-12.69 vs 2017-2022; 74.42; 95% CI, 39.66-109.19 cases per 100,000 inhabitant-years). CONCLUSIONS: The incidence and prevalence of EoE have increased substantially and vary widely across the world. Further research is needed to evaluate the incidence and prevalence of EoE in Asia, South America, and Africa.

Mortality among inpatients with bipolar disorders and COVID-19: a propensity score matching analysis in a national French cohort study.

BACKGROUND: It remains unknown whether coronavirus disease 2019 (COVID-19) patients with bipolar disorders (BDs) are at an increased risk of mortality. We aimed to establish whether health outcomes and care differed between patients infected with COVID-19 with BD and patients without a diagnosis of severe mental illness. METHODS: We conducted a population-based cohort study of all patients with identified COVID-19 and respiratory symptoms who were hospitalized in France between February and June 2020. The outcomes were in-hospital mortality and intensive care unit (ICU) admission. We used propensity score matching to control for confounding factors. RESULTS: In total, 50 407 patients were included, of whom 480 were patients with BD. Patients with BD were 2 years older, more frequently women and had more comorbidities than controls without a diagnosis of severe mental illness. Patients with BD had an increased in-hospital mortality rate (26.6% v. 21.9%; p = 0.034) and similar ICU admission rate (27.9% v. 28.4%, p = 0.799), as confirmed by propensity analysis [odds ratio, 95% confidence interval (OR, 95% CI) for mortality: 1.30 (1.16-1.45), p < 0.0001]. Significant interactions between BD and age and between BD and social deprivation were found, highlighting that the most important inequalities in mortality were observed in the youngest [OR, 95% CI 2.28 (1.18-4.41), p = 0.0015] and most deprived patients with BD [OR, 95% CI 1.60 (1.33-1.92), p < 0.001]. CONCLUSIONS: COVID-19 patients with BD were at an increased risk of mortality, which was exacerbated in the youngest and most deprived patients with BD. Patients with BD should thus be targeted as a high-risk population for severe forms of COVID-19, requiring enhanced preventive and disease management strategies.

Current (but not ex) cigarette smoking is associated with worse cognitive performances in schizophrenia: results from the FACE-SZ cohort.

BACKGROUND: Tobacco use is common in subjects with schizophrenia (SZ) and has sometimes been associated with better functioning in short-term studies. Only few studies embrace an extensive examination of tobacco influence on clinical, cognitive and therapeutic characteristics in stabilized SZ outpatients. The objective of the present study was to assess the association between cognitive performances and smoking status in SZ subjects. METHODS: In total, 1233 SZ participants (73.9% men, mean age 31.5) were included and tested with a comprehensive battery. Tobacco status was self-declared (never-, ex-, or current smokers). Multivariable analyses including principal component analyses (PCA) were used. RESULTS: In total, 53.7% were smokers with 33.7% of them nicotine-dependent. Multiple factor analysis revealed that current tobacco smoking was associated with impaired general intellectual ability and abstract reasoning (aOR 0.60, 95% IC 0.41-0.88, p = 0.01) and with a lifetime alcohol use disorder (p = 0.026) and a lifetime cannabis use disorder (p < 0.001). Ex- and never-smokers differed for age, mean outcome, cannabis history and medication [ex-smokers being older (p = 0.047), likely to have higher income (p = 0.026), a lifetime cannabis use disorder (p < 0.001) and higher CPZeq doses (p = 0.005)]. Premorbid IQ in the three groups significantly differed with, from higher to lower: ex-smokers, never-smoker, current smokers (all p < 0.001). CONCLUSIONS: This study is the largest to date providing strong evidence that chronic smoking is associated with cognitive impairment in SZ, arguing against the self-medication hypothesis as a contributor to the high prevalence of smoking in SZ. Ex-smokers may also represent a specific subgroup. Longitudinal studies are warranted to determine the developmental impact of tobacco on neurocognition.

Schizophrenia pregnancies should be given greater health priority in the global health agenda: results from a large-scale meta-analysis of 43,611 deliveries of women with schizophrenia and 40,948,272 controls.

Women with schizophrenia and their newborns are at risk of adverse pregnancy, delivery, neonatal and child outcomes. However, robust and informative epidemiological estimates are lacking to guide health policies to prioritise and organise perinatal services. For the first time, we carried out a systematic review and meta-analysis to synthesise the accumulating evidence on pregnancy, delivery, neonatal complications, and infant mortality among women with schizophrenia and their newborns (N = 43,611) vs. controls (N = 40,948,272) between 1999 and 2021 (26 population-based studies from 11 high-income countries) using random effects. Women with schizophrenia had higher odds (OR) of gestational diabetes (2.35, 95% CI: [1.57-3.52]), gestational hypertension, pre-eclampsia/eclampsia (OR 1.55, 95% CI: [1.02-2.36]; 1.85, 95% CI: [1.52-2.25]), antepartum and postpartum haemorrhage (OR 2.28, 95% CI: [1.58-3.29]; 1.14, 95% CI: [1.04-1.24]), placenta abruption, threatened preterm labour, and premature rupture of membrane (OR 2.20, 95% CI: [2.02-2.39]; 2.91, 95% CI: [1.57-5.40]; 1.29, 95% CI: [1.06-1.58]), c-section (OR 1.33, 95% CI: [1.22-1.45]), foetal distress (OR 1.80, 95% CI: [1.43-2.26]), preterm and very preterm delivery (OR 1.79, 95% CI: [1.62-1.98]; 2.31, 95% CI: [1.78-2.98]), small for gestational age and low birth weight (OR 1.63, 95% CI: [1.48-1.80]; 1.75, 95% CI: [1.46-2.11]), congenital malformations (OR 1.86, 95% CI: [1.71-2.03]), and stillbirths (OR 2.06, 95% CI: [1.83-2.31]). Their newborns had higher odds of neonatal death (OR 1.41, 95% CI: [1.03-1.94]), post-neonatal death (OR 2.87, 95% CI: [2.11-3.89]) and infant mortality (OR 2.33, 95% CI: [1.81-3.01]). This large-scale meta-analysis confirms that schizophrenia is associated with a substantially increased risk of very preterm delivery, stillbirth, and infant mortality, and metabolic risk in mothers. No population-based study has been carried out in low- and middle-income countries in which health problems of women with schizophrenia are probably more pronounced. More research is needed to better understand the complex needs of women with schizophrenia and their newborns, determine how care delivery could be optimised, and define best practices. Study registration: PROSPERO CRD42020197446.

Impact of the COVID-19 pandemic on non-COVID-19 hospital mortality in patients with schizophrenia: a nationwide population-based cohort study.

It remains unknown to what degree resource prioritization toward SARS-CoV-2 (2019-nCoV) coronavirus (COVID-19) cases had disrupted usual acute care for non-COVID-19 patients, especially in the most vulnerable populations such as patients with schizophrenia. The objective was to establish whether the impact of the COVID-19 pandemic on non-COVID-19 hospital mortality and access to hospital care differed between patients with schizophrenia versus without severe mental disorder. We conducted a nationwide population-based cohort study of all non-COVID-19 acute hospitalizations in the pre-COVID-19 (March 1, 2019 through December 31, 2019) and COVID-19 (March 1, 2020 through December 31, 2020) periods in France. We divided the population into patients with schizophrenia and age/sex-matched patients without severe mental disorder (1:10). Using a difference-in-differences approach, we performed multivariate patient-level logistic regression models (adjusted odds ratio, aOR) with adjustment for complementary health insurance, smoking, alcohol and substance addiction, Charlson comorbidity score, origin of the patient, category of care, intensive care unit (ICU) care, major diagnosis groups and hospital characteristics. A total of 198,186 patients with schizophrenia were matched with 1,981,860 controls. The 90-day hospital mortality in patients with schizophrenia increased significantly more versus controls (aOR = 1.18; p < 0.001). This increased mortality was found for poisoning and injury (aOR = 1.26; p = 0.033), respiratory diseases (aOR = 1.19; p = 0.008) and for both surgery (aOR = 1.26; p = 0.008) and medical care settings (aOR = 1.16; p = 0.001). Significant changes in the case mix were noted with reduced admission in the ICU and for several somatic diseases including cancer, circulatory and digestive diseases and stroke for patients with schizophrenia compared to controls. These results suggest a greater deterioration in access to, effectiveness and safety of non-COVID-19 acute care in patients with schizophrenia compared to patients without severe mental disorders. These findings question hospitals' resilience pertaining to patient safety and underline the importance of developing specific strategies for vulnerable patients in anticipation of future public health emergencies.

Incidence, prevalence, and global burden of autism spectrum disorder from 1990 to 2019 across 204 countries.

Autism spectrum disorder (ASD) substantially contributes to the burden of mental disorders. Improved awareness and changes in diagnostic criteria of ASD may have influenced the diagnostic rates of ASD. However, while data on trends in diagnostic rates in some individual countries have been published, updated estimates of diagnostic rate trends and ASD-related disability at the global level are lacking. Here, we used the Global Burden of Diseases, Injuries, and Risk Factors Study data to address this gap, focusing on changes in prevalence, incidence, and disability-adjusted life years (DALYs) of ASD across the world. From 1990 to 2019, overall age-standardized estimates remained stable globally. Both prevalence and DALYs increased in countries with high socio-demographic index (SDI). However, the age-standardized incidence decreased in some low SDI countries, indicating a need to improve awareness. The male/female ratio decreased between 1990 and 2019, possibly accounted for by increasing clinical attention to ASD in females. Our results suggest that ASD detection in low SDI countries is suboptimal, and that ASD prevention/treatment in countries with high SDI should be improved, considering the increasing prevalence of the disorder. Additionally, growing attention is being paid to ASD diagnosis in females, who might have been left behind by ASD epidemiologic and clinical research previously. ASD burden estimates are underestimated as GBD does not account for mortality in ASD.

Correlation between assessment of cytochrome P450 1A2 activity and enzyme activity scores, and their relation to clozapine exposure.

AIMS: Cytochrome P450 1A2 (CYP1A2) is involved in the metabolism of antipsychotic drugs such as clozapine and olanzapine. Personalization of these treatments requires an accurate estimation of CYP1A2 activity. In this study, we aimed (1) to evaluate the correlation between activity score (AS), covariate-corrected activity score (CCS) and the phenotype of CYP1A2 using a caffeine test probe and (2) to investigate their relationship with dose-adjusted clozapine concentrations in a subgroup of the cohort. METHODS: A multicentric, retrospective and observational study was carried out in the French university hospitals of Marseille and Tours. CYP1A2 activity was calculated by the paraxanthine/caffeine (17X/137X) ratio determined 4 h after an oral intake of 100 mg caffeine. AS was calculated according to the CYP1A2*1F alleles. CCS was calculated according to the CYP1A2*1F alleles, smoking status and the presence of concomitant inhibitors. RESULTS: As expected, among the 89 patients included, the 17X/137X ratio was significantly higher in patients who smoked. We found a significant but modest correlation between the 17X/137X ratio and CCS (R2 = 0.3, P = 1.74 × 10-8 ) but none between the 17X/137X ratio and AS (R2 = -0.007, P = 0.52). AS was not correlated with dose-adjusted clozapine levels, contrary to CCS (R2 = 0.19, P = 0.016) and especially the 17X/137X ratio (R2 = 0.42, P = 1.7 × 10-5 ). CONCLUSIONS: Correlation with clozapine concentrations showed the advantage of the 17X/137X ratio over the CCS in clozapine dose optimization. CYP1A2 activity, especially when determined by the caffeine probe, may be used to personalize clozapine dosing for patients experiencing treatment failure.