Neuropsychological assessment fails to predict relapse among cigarette smokers: A prospective study of neurocognitive abilities.

OBJECTIVES: Understanding the factors that lead to relapse is a major challenge for the clinical support of smoking cessation. Neurocognitive abilities such as attention, executive functioning and working memory, are possible predictors of relapse and can be easily assessed in everyday clinical practice. In this prospective longitudinal study, we investigated the relationship between pre-smoking cessation neurocognitive performance and relapse at six months in a sample of patients being treated for their tobacco dependence. METHODS: 130 tobacco consumers were included in the study. They completed a comprehensive neuropsychological and clinical assessment before smoking cessation. The targeted abilities were intelligence, inhibition, shifting, working memory updating, verbal fluency and decision-making. RESULTS: The rate of tobacco relapse at 6 months was 58%. Logistic regressions were used to assess which variables best explained relapse. None of the neuropsychological tests was a significant predictor of relapse at either 1, 3 or 6 months, either alone, or controlling for other covariates acting as significant predictors of relapse. CONCLUSIONS: Common neuropsychological tests, even those specifically targeting executive functioning such as inhibition, are not useful predictors of the success of a smoking cessation program in a clinical setting. Other variables, such as motivation to quit smoking or the presence of comorbid depression or anxiety disorders, appear to be more useful predictors of relapse.

Adjunctive agents to antipsychotics in schizophrenia: a systematic umbrella review and recommendations for amino acids, hormonal therapies and anti-inflammatory drugs.

QUESTION: This umbrella review and guidelines aimed to provide evidence to support the rational choice of selected adjunctive therapies for schizophrenia. STUDY SELECTION AND ANALYSIS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and World Federation of Societies of Biological Psychiatry (WFSBP)-grading recommendations, 63 randomised control trials (RCTs) (of which 4219 unique participants have completed the RCTs) and 29 meta-analyses were analysed. FINDINGS: Provisional recommendations (WFSBP-grade 1) could be made for two molecules in augmentation to antipsychotics: (1) N-acetyl-cysteine (NAC, 1200-3600 mg/day, for >12 consecutive weeks) in improving negative symptoms, general psychopathology (positive and negative syndrome scale for schizophrenia (PANSS) general psychopathology factor (G)-G subscale), with the RCTs with the longer duration showing the most robust findings; (2) polyunsaturated fatty acids (3000 mg/day of eicosapentaenoic acid, for >12 weeks) in improving general psychopathology. Weaker recommendations (ie, WFSBP-grade 2) could be drawn for sarcosine (2 g/day) and minocycline (200-300 mg/day) for improving negative symptoms in chronic schizophrenia (not early schizophrenia), and NAC for improving positive symptoms and cognition. Weak recommendations are not ready for clinical practice. There is provisional evidence that oestrogens and raloxifene are effective in some patients, but further research is needed to determine their benefit/risk ratio. CONCLUSIONS: The results of this umbrella review should be interpreted with caution as the number of RCTs included in the meta-analyses was generally small and the effect sizes were weak or medium. For NAC, two RCTs with low risk of bias have provided conflicting results and the WFSBP-grade recommendation included also the results of meta-analyses. These drugs could be provisionally prescribed for patients for whom no other treatments have been effective, but they should be discontinued if they prove ineffective.

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.

Clinical and pharmacological correlates of caffeine consumption in subjects with schizophrenia - Data from the FACE-SZ cohort.

Caffeine is the most consumed psychoactive substance worldwide. Previous studies suggested higher caffeine consumption in subjects with schizophrenia spectrum disorders (SSD) as well as associations with symptoms, medication and medication side-effects. In a large and well-characterized sample of SSD subjects we explored the association between caffeine consumption and clinical (psychosis related, severity, general health) as well as pharmacological (antipsychotic treatment, sedation potential) variables. Eight hundred four subjects with data on their caffeine (coffee and tea) consumption successively recruited were included in this study. After controlling for potential confounders (demographic variables, smoking) only the negative dimension of psychosis was associated with the amount of caffeine ingested. Less severe negative symptoms were associated with higher caffeine consumption. The effect size of this association was small (partial correlation coefficient = -0.12) but significant.

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.

Physical and mental health status of former smokers and non-smokers patients with bipolar disorder.

OBJECTIVES: Up to 70% individuals with bipolar disorder (BD) are lifetime tobacco smokers, a major modifiable risk factor for morbidity. However, quitting smoking is rarely proposed to individuals with BD, mainly because of fear of unfavorable metabolic or psychiatric changes. Evaluating the physical and mental impact of tobacco cessation is primordial. The aim of this study was to characterize the psychiatric and nonpsychiatric correlates of tobacco smoking status (never- vs. current vs. former smokers) in individuals with BD. METHODS: 3860 individuals with ascertained BD recruited in the network of Fondamental expert centers for BD between 2009 and 2020 were categorized into current, former, and never tobacco smokers. We compared the sociodemographic and clinical characteristics assessed by standard instruments (e.g., BD type, current symptoms load, and non-psychiatric morbidity-including anthropometric and biological data) of the three groups using multinomial regression logistic models. Corrections for multiple testing were applied. RESULTS: Current smokers had higher depression, anxiety, and impulsivity levels than former and never-smokers, and also higher risk of comorbid substance use disorders with a gradient from never to former to current smokers-suggesting shared liability. Current smokers were at higher risk to have a metabolic syndrome than never-smokers, although this was only evidenced in cases, who were not using antipsychotics. CONCLUSIONS: Tobacco smoking was associated with high morbidity level. Strikingly, as in the general population, quitting smoking seemed associated with their return to the never-smokers' levels. Our findings strongly highlight the need to spread strategies to treat tobacco addiction in the BD population.

Diurnal symptoms of sleepiness and dysfunction predict future suicidal ideation in a French cohort of outpatients (FACE-DR) with treatment resistant depression: A 1-year prospective study about sleep markers.

BACKGROUND: Patients suffering from treatment-resistant depression (TRD) are at risk of suicide. Sleep and circadian rhythm alterations are widely recognized as core symptoms of major depressive disorder and are associated with suicidal ideation. Thus, sleep and circadian rhythm alterations may be targeted to prevent suicide. METHODS: Patients were recruited from a prospective cohort of the French network of TRD expert centers. Mood, sleep and circadian rhythms were assessed at baseline; suicidal risk was assessed both at baseline and during a one-year follow-up with standardized subjective questionnaires. RESULTS: Excessive daytime sleepiness (adjusted odds ratio aOR = 1.7(1-3.3), p = 0.04) and daytime dysfunction (aOR = 1.81(1.16-2.81), p = 0.0085) increased the risk of suicidal thoughts over the one-year follow-up period in patients with TRD after adjustment on age, gender, depression, trauma, anxiety, impulsivity, current daily tobacco smoking and body mass index. Hypnotics intake is associated with a reduced risk of suicidal ideation at one-year follow-up after the same adjustments (OR = 0.73(0.56-0.95), p = 0.019). Other associations between sleep quality or circadian rhythms and suicidal ideations at either baseline or one year did not remain significant in multivariate analyses after the same adjustments. LIMITATIONS: Sleep assessments were based on self-reported questionnaires rather than objective measures. CONCLUSIONS: Daytime sleepiness and dysfunction are predictors of suicidal ideations, whereas hypnotics intake is associated with a reduced risk of suicidal ideations. Diurnal symptoms of sleep disturbances are therefore red flags to target for preventing suicide in depressed patients, and hypnotics seem efficient in preventing suicide for patients with TRD.

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.

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.

Immuno-metabolic profile of patients with psychotic disorders and metabolic syndrome. Results from the FACE-SZ cohort.

Background: Metabolic syndrome (MetS) is a highly prevalent and harmful medical disorder often comorbid with psychosis where it can contribute to cardiovascular complications. As immune dysfunction is a key shared component of both MetS and schizophrenia (SZ), this study investigated the relationship between immune alterations and MetS in patients with SZ, whilst controlling the impact of confounding clinical characteristics including psychiatric symptoms and comorbidities, history of childhood maltreatment and psychotropic treatments. Method: A total of 310 patients meeting DSM-IV criteria for SZ or schizoaffective disorders (SZA), with or without MetS, were systematically assessed and included in the FondaMental Advanced Centers of Expertise for Schizophrenia (FACE-SZ) cohort. Detailed clinical characteristics of patients, including psychotic symptomatology, psychiatric comorbidities and history of childhood maltreatment were recorded and the serum levels of 18 cytokines were measured. A penalized regression method was performed to analyze associations between inflammation and MetS, whilst controlling for confounding factors. Results: Of the total sample, 25% of patients had MetS. Eight cytokines were above the lower limit of detection (LLOD) in more than 90% of the samples and retained in downstream analysis. Using a conservative Variable Inclusion Probability (VIP) of 75%, we found that elevated levels of interleukin (IL)-6, IL-7, IL-12/23 p40 and IL-16 and lower levels of tumor necrosis factor (TNF)-α were associated with MetS. As for clinical variables, age, sex, body mass index (BMI), diagnosis of SZ (not SZA), age at the first episode of psychosis (FEP), alcohol abuse, current tobacco smoking, and treatment with antidepressants and anxiolytics were all associated with MetS. Conclusion: We have identified five cytokines associated with MetS in SZ suggesting that patients with psychotic disorders and MetS are characterized by a specific "immuno-metabolic" profile. This may help to design tailored treatments for this subgroup of patients with both psychotic disorders and MetS, taking one more step towards precision medicine in psychiatry.

Recommendations of the treatment-resistant depression expert center network for promoting tobacco smoking cessation based on the results from the real-world FACE-TRD national cohort.

BACKGROUND: Tobacco smoking has been associated with suicide, impulsivity and depression in non-clinical populations with differences across sexes. OBJECTIVE: To determine the role of tobacco smoking in Treatment-Resistant Depression (TRD) according to sex in a precision-medicine approach. METHOD: The FACE-TRD cohort is a national cohort of TRD patients recruited in 13 resistant depression expert centers between 2014 and 2021 and followed-up at 6 months. A standardized one-day long comprehensive battery was carried out, including trained-clinician and patient-reported outcomes, and patients were reevaluated at 6 months on their smoking and psychiatric hospitalization outcomes. RESULTS: 355 TRD participants were included (222 women). The smoking rate was much higher in TRD women compared to the French general population (34% vs 24%) while it was comparable for men (approximately 29%). In multivariate analyses, compared to non-smoking women, female smokers had significantly increased number of lifetime psychiatric hospitalizations (standardized beta B = 0.232, p = 0.014) and electro-convulsive therapy (adjusted odds ratio (aOR) = 2.748, p = 0.005), increased suicidal ideations (aOR = 4.047, p = 0.031), history of suicide attempt (aOR = 1.994, p = 0.033), and increased impulsivity (B = 0.210, p = 0.006) and were more frequently treated by benzodiazepines (aOR = 1.848, p = 0.035) and third- or fourth-line TRD treatments (antipsychotics aOR = 2.270, p = 0.006, mood stabilizers aOR = 2.067 p = 0.044). Tobacco smoking at baseline was predictive of psychiatric hospitalization within 6 months in persistent smoking women (aOR = 2.636, p = 0.031). These results were not replicated in men, for whom tobacco smoking was only associated with increased clinician-rated and self-reported depressive symptoms (respectively B = 0.207, p = 0.022 and B = 0.184, p = 0.048). The smoking cessation rate at 6 months was higher in women than in men (12% vs. 7%). No patient was administered nicotine substitute or varenicline at the two timepoints. INTERPRETATION: Combining these results and those of the literature, we recommend that active tobacco cessation should be promoted in TRD to improve depression, suicide and impulsivity especially in women. Female smokers appear as a specific population with heavier mental health outcomes that should be specifically addressed.

Examining transcranial random noise stimulation as an add-on treatment for persistent symptoms in schizophrenia (STIM'Zo): a study protocol for a multicentre, double-blind, randomized sham-controlled clinical trial.

BACKGROUND: One out of three patients with schizophrenia failed to respond adequately to antipsychotics and continue to experience debilitating symptoms such as auditory hallucinations and negative symptoms. The development of additional therapeutic approaches for these persistent symptoms constitutes a major goal for patients. Here, we develop a randomized-controlled trial testing the efficacy of high-frequency transcranial random noise stimulation (hf-tRNS) for the treatment of resistant/persistent symptoms of schizophrenia in patients with various profiles of symptoms, cognitive deficits and illness duration. We also aim to investigate the biological and cognitive effects of hf-tRNS and to identify the predictors of clinical response. METHODS: In a randomized, double-blind, 2-arm parallel-group, controlled, multicentre study, 144 patients with schizophrenia and persistent symptoms despite the prescription of at least one antipsychotic treatment will be randomly allocated to receive either active (n = 72) or sham (n = 72) hf-tRNS. hf-tRNS (100-500 Hz) will be delivered for 20 min with a current intensity of 2 mA and a 1-mA offset twice a day on 5 consecutive weekdays. The anode will be placed over the left dorsolateral prefrontal cortex and the cathode over the left temporoparietal junction. Patients' symptoms will be assessed prior to hf-tRNS (baseline), after the 10 sessions, and at 1-, 3- and 6-month follow-up. The primary outcome will be the number of responders defined as a reduction of at least 25% from the baseline scores on the Positive and Negative Syndrome Scale (PANSS) after the 10 sessions. Secondary outcomes will include brain activity and connectivity, source monitoring performances, social cognition, other clinical (including auditory hallucinations) and biological variables, and attitude toward treatment. DISCUSSION: The results of this trial will constitute a first step toward establishing the usefulness of hf-tRNS in schizophrenia whatever the stage of the illness and the level of treatment resistance. We hypothesize a long-lasting effect of active hf-tRNS on the severity of schizophrenia symptoms as compared to sham. This trial will also have implications for the use of hf-tRNS as a preventive intervention of relapse in patients with schizophrenia. TRIAL REGISTRATION: ClinicalTrials.gov NCT02744989. Prospectively registered on 20 April 2016.

Pregnancy, delivery and neonatal complications in women with schizophrenia: a national population-based cohort study.

BACKGROUND: Existing studies evaluating the association between schizophrenia and complications associated with pregnancy, delivery and neonatal outcomes are based on data prior to 2014 and have reported heterogeneous results. The objective of our study was to determine whether pregnant women with schizophrenia were at increased risk of pregnancy, delivery and neonatal complications compared with women without severe mental disorders. METHODS: We performed a population-based cohort study of all singleton deliveries in France between Jan. 1, 2015, and Dec. 31, 2019. We divided this population into cases (i.e., women with schizophrenia) and controls (i.e., women without a diagnosis of severe mental disorder). Cases and controls were matched (1:4) inside the same hospital and the same year by age, social deprivation, parity, smoking, alcohol and substance addictions, malnutrition, obesity, and comorbidities. Univariate and multivariate models with odds ratios and 95% confidence intervals (ORs [95% CIs]) were used to estimate the association between schizophrenia and 24 pregnancy, delivery and neonatal outcomes. FINDINGS: Over 5 years, 3,667,461 singleton deliveries were identified, of which 3,108 occurred in women with schizophrenia. Compared to controls, women with schizophrenia were found to be older; have more frequent smoking, alcohol and substance addictions; suffer from obesity, diabetes and chronic obstructive pulmonary disease; and often be hospitalized in tertiary maternity hospitals. Compared to matched controls, women with schizophrenia had more pregnancy complications (adjusted OR=1.41[95%CI 1.31-1.51]) (i.e., gestational diabetes, gestational hypertension, genito-urinary infection, intrauterine growth retardation and threatened preterm labour). They had more delivery complications (aOR=1.18[95%CI 1.09 1.29]) with more still births/medical abortions (aOR=2.17[95%CI 1.62-2.90]) and caesarean sections (aOR=1.15[95%CI 1.05-1.25]). Newborns of women with schizophrenia had more neonatal complications (aOR=1.38[95%CI 1.27-1.50]) with more born preterm (aOR=1.64[95%CI1.42 -1.90]), small for gestational age (aOR=1.34[95%CI 1.19-1.50]) and low birth weight (aOR=1.75[95%CI 1.53-2.00]). INTERPRETATION: Our results highlight the importance of health disparities between pregnant women with and without schizophrenia, as well as in their newborns. Our study calls for health policy interventions during and before pregnancy, including proportionate intensified care to the level of needs, effective case management and preventive and social determinant approaches. FUNDING: No funding.

End of life breast cancer care in women with severe mental illnesses.

Little is known on the end-of-life (EOL) care of terminal breast cancer in women with severe psychiatric disorder (SPD). The objective was to determine if women with SPD and terminal breast cancer received the same palliative and high-intensity care during their end-of-life than women without SPD. Study design, setting, participants. This population-based cohort study included all women aged 15 and older who died from breast cancer in hospitals in France (2014-2018). Key measurements/outcomes. Indicators of palliative care and high-intensity EOL care. Multivariable models were performed, adjusted for age at death, year of death, social deprivation, duration between cancer diagnosis and death, metastases, comorbidity, smoking addiction and hospital category. The analysis included 1742 women with SPD (287 with bipolar disorder, 1075 with major depression and 380 with schizophrenia) and 36,870 women without SPD. In multivariate analyses, women with SPD had more palliative care (adjusted odd ratio aOR 1.320, 95%CI [1.153-1.511], p < 0.001), longer palliative care follow-up before death (adjusted beta = 1.456, 95%CI (1.357-1.555), p < 0.001), less chemotherapy, surgery, imaging/endoscopy, and admission in emergency department and intensive care unit. Among women with SPD, women with bipolar disorders and schizophrenia died 5 years younger than those with recurrent major depression. The survival time was also shortened in women with schizophrenia. Despite more palliative care and less high-intensity care in women with SPD, our findings also suggest the existence of health disparities in women with bipolar disorders and schizophrenia compared to women with recurrent major depression and without SPD. Targeted interventions may be needed for women with bipolar disorders and schizophrenia to prevent these health disparities.

Palliative and high-intensity end-of-life care in schizophrenia patients with lung cancer: results from a French national population-based study.

Schizophrenia is marked by inequities in cancer treatment and associated with high smoking rates. Lung cancer patients with schizophrenia may thus be at risk of receiving poorer end-of-life care compared to those without mental disorder. The objective was to compare end-of-life care delivered to patients with schizophrenia and lung cancer with patients without severe mental disorder. This population-based cohort study included all patients aged 15 and older who died from their terminal lung cancer in hospital in France (2014-2016). Schizophrenia patients and controls without severe mental disorder were selected and indicators of palliative care and high-intensity end-of-life care were compared. Multivariable generalized log-linear models were performed, adjusted for sex, age, year of death, social deprivation, time between cancer diagnosis and death, metastases, comorbidity, smoking addiction and hospital category. The analysis included 633 schizophrenia patients and 66,469 controls. The schizophrenia patients died 6 years earlier, had almost twice more frequently smoking addiction (38.1%), had more frequently chronic pulmonary disease (32.5%) and a shorter duration from cancer diagnosis to death. In multivariate analysis, they were found to have more and earlier palliative care (adjusted Odds Ratio 1.27 [1.03;1.56]; p = 0.04), and less high-intensity end-of-life care (e.g., chemotherapy 0.53 [0.41;0.70]; p < 0.0001; surgery 0.73 [0.59;0.90]; p < 0.01) than controls. Although the use and/or continuation of high-intensity end-of-life care is less important in schizophrenia patients with lung cancer, some findings suggest a loss of chance. Future studies should explore the expectations of patients with schizophrenia and lung cancer to define the optimal end-of-life care.

Parkinson's Disease and Bilateral Subthalamic Nuclei Deep Brain Stimulation: Beneficial Effects of Preoperative Cognitive Restructuration Therapy on Postoperative Social Adjustment.

BACKGROUND: Bilateral subthalamic nucleus deep brain stimulation improves motor symptoms and treatment-related complications in patients with Parkinson's disease. However, some patients have trouble adjusting socially after successful neurosurgery, in part because of "unrealistic" expectations and psychiatric disorders. Preoperative psychological interventions focusing on these aspects could be beneficial for such patients. METHODS: We compared the outcomes of 2 psychosocial approaches-1 based on cognitive restructuration and 1 consisting of 2 interviews-with those of a control group without preoperative preparation. All patients underwent a psychometric evaluation 2 months before surgery (M-2) and again at 3 (M+3) and 6 months (M+6) after surgery. The psychometric evaluation focused on social adjustment using the social adjustment scale-self-report. The psychiatric profile of the patients was also assessed. RESULTS: Of 73 patients initially enrolled, 62 performed the initial inclusion visit (M-2) and the 2 postoperative visits (M+3, M+6). For these 62 patients (52% male), the overall mean age was 59 ± 6.13 years, and the mean disease duration was 9.44 ± 3.62 years. No specific differences were observed for social adjustment between the groups or visits (M-2, M+3, M+6); however, an interaction was found in the cognitive restructuration group at M+6 for the family dimension of the social adjustment scale-self-report. CONCLUSION: Our results suggest that even if no overall increase in the social adjustment score was observed, patients with Parkinson's disease eligible for neurosurgery should undergo preoperative psychosocial therapy to define their expectations and help them in their psychological restructuration. This type of therapy, complementary to psychoeducation, could represent an opportunity to prevent postoperative deception and social maladjustment.

End-of-Life Care Among Patients With Bipolar Disorder and Cancer: A Nationwide Cohort Study.

OBJECTIVE: This study aimed to describe end-of-life (EOL) care in individuals with bipolar disorder (BD) who died of cancer compared with mentally healthy individuals. METHODS: This was a nationwide cohort study of all adult individuals who died of cancer in hospitals in France between 2013 and 2016. Outcomes were compared between individuals with BD and mentally healthy individuals in the last month of life including palliative care and high-intensity EOL care (chemotherapy, artificial nutrition, and other interventions). A subanalysis explored differences between patients with BD and patients with schizophrenia. RESULTS: The study included 2015 individuals with BD and 222,477 mentally healthy controls. Compared with the controls, individuals with BD died 5 years earlier, more often had comorbidities and thoracic cancer, and had fewer metastases, but did not have shorter delays from cancer diagnosis to death. After matching and adjustment for covariates, individuals with BD more often received palliative care in the last 3 days of life (25% versus 13%, p < .001) and less high-intensity care (e.g., chemotherapy 12% versus 15%, p = .004), but more artificial nutrition (6% versus 4.6%, p = .003). Compared with the schizophrenia comparison group, chemotherapy was received more by individuals with BD in the last 14 days of life (12.5% for BD versus 9.4%, p < .001). CONCLUSIONS: Individuals with BD were more likely to receive palliative care and less likely to receive high-intensity EOL care, except for artificial nutrition. These results may not be specific to BD, as no difference was found between patients with BD and schizophrenia except for chemotherapy.

Recurrent major depressive disorder's impact on end-of-life care of cancer: A nationwide study.

OBJECTIVE: We still don't know if recurrent major depressive disorder (RMDD) may impact the quality of the end-of-life (EOL) cancer care in France. To tackle this knowledge gap, we explored EOL care in RMDD subjects who died from cancer compared to subjects without psychiatric disorder in a 4-year nationwide cohort study. DESIGN: Nationwide cohort study. SETTING: National hospital database, France. PARTICIPANTS: All patients aged ≥15 years who died from cancer in hospital: 4070 RMDD subjects and 222,477 controls, 2013-2016, France. MAIN OUTCOME MEASURES: Palliative care in the last 31 days of life and high-intensity EOL care including chemotherapy in the last 14 days of life, artificial nutrition, tracheal intubation, mechanical ventilation, gastrostomy, cardiopulmonary resuscitation, dialysis, transfusion, surgery, endoscopy, imaging, intensive care unit and emergency department admission in the last 31 days of life. Multivariate generalized mixed models with log-normal distribution was used to compare RMDD subjects and controls. RESULTS: Compared to the controls, the RMDD subjects died 3 years younger, had more comorbidities, more thoracic cancers, less metastases and longer time from cancer diagnosis to death. After matching and adjustment, subjects with RMDD were found to receive more palliative care and less high-intensity EOL care, had fewer iterative admissions to acute care unit, and died less often in the intensive care unit and emergency department. CONCLUSIONS: RMDD subjects were more likely to receive palliative care associated with less high-intensity EOL care. Yet the interpretation may be discussed, resulting from either patients'/families' wishes or difficulties for providers in offering personalized care to RMDD.

End-of-life care among patients with schizophrenia and cancer: a population-based cohort study from the French national hospital database.

BACKGROUND: Patients with schizophrenia represent a vulnerable, underserved, and undertreated population who have been neglected in health disparities work. Understanding of end-of-life care in patients with schizophrenia and cancer is poor. We aimed to establish whether end-of-life care delivered to patients with schizophrenia and cancer differed from that delivered to patients with cancer who do not have diagnosed mental illness. METHODS: We did a population-based cohort study of all patients older than 15 years who had a diagnosis of advanced cancer and who died in hospital in France between Jan 1, 2013, and Dec 31, 2016. We divided this population into cases (ie, patients with schizophrenia) and controls (ie, patients without a diagnosis of mental illness) and compared access to palliative care and indicators of high-intensity end-of-life care between groups. In addition to unmatched analyses, we also did matched analyses (matched in terms of age at death, sex, and site of primary cancer) between patients with schizophrenia and matched controls (1:4). Multivariable generalised linear models were done with adjustment for social deprivation, year of death, time from cancer diagnosis to death, metastases, comorbidity, and hospital type (ie, specialist cancer centre vs non-specialist centre). FINDINGS: The main analysis included 2481 patients with schizophrenia and 222 477 controls. The matched analyses included 2477 patients with schizophrenia and 9896 controls. Patients with schizophrenia were more likely to receive palliative care in the last 31 days of life (adjusted odds ratio 1·61 [95% CI 1·45-1·80]; p<0·0001) and less likely to receive high-intensity end-of-life care-such as chemotherapy and surgery-than were matched controls without a diagnosis of mental illness. Patients with schizophrenia were also more likely to die younger, had a shorter duration between cancer diagnosis and death, and were more likely to have thoracic cancers and comorbidities than were controls. INTERPRETATION: Our findings suggest the existence of disparities in health and health care between patients with schizophrenia and patients without a diagnosis of mental illness. These findings underscore the need for better understanding of health inequalities so that effective interventions can be developed for this vulnerable population. FUNDING: Assistance Publique des Hôpitaux de Marseille and Aix-Marseille University.

Validation and refinement of the clinical staging model in a French cohort of outpatient with schizophrenia (FACE-SZ).

OBJECTIVE: Existing staging models have not been fully validated. Thus, after classifying patients with schizophrenia according to the staging model proposed by McGorry et al. (2010), we explored the validity of this staging model and its stability after one-year of follow-up. METHOD: Using unsupervised machine-learning algorithm, we classified 770 outpatients into 5 clinical stages, the highest being the most severe. Analyses of (co)variance were performed to compare each stage in regard to socio-demographics factors, clinical characteristics, co-morbidities, ongoing treatment and neuropsychological profiles. RESULTS: The precision of clinical staging can be improved by sub-dividing intermediate stages (II and III). Clinical validators of class IV include the presence of concomitant major depressive episode (42.6% in stage IV versus 3.4% in stage IIa), more severe cognitive profile, lower adherence to medication and prescription of >3 psychotropic medications. Follow-up at one-year showed good stability of each stage. CONCLUSION: Clinical staging in schizophrenia could be improved by adding clinical elements such as mood symptoms and cognition to severity, relapses and global functioning. In terms of therapeutic strategies, attention needs to be paid on the factors associated with the more stages of schizophrenia such as treatment of comorbid depression, reduction of the number of concomitant psychotropic medications, improvement of treatment adherence, and prescription of cognitive remediation.