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Purpose: We assessed long-term outcomes in acutely admitted adult patients with delirium treated in intensive care unit (ICU) with haloperidol versus placebo. Methods: We conducted pre-planned analyses of 1-year outcomes in the Agents Intervening against Delirium in the ICU (AID-ICU) trial, including mortality and health-related quality of life (HRQoL) assessed by Euroqol (EQ) 5-dimension 5-level questionnaire (EQ-5D-5L) index values and EQ visual analogue scale (EQ VAS) (deceased patients were assigned the numeric value zero). Outcomes were analysed using logistic and linear regressions with bootstrapping and G-computation, all with adjustment for the stratification variables (site and delirium motor subtype) and multiple imputations for missing HRQoL values. Results: At 1-year follow-up, we obtained vital status for 96.2% and HRQoL data for 83.3% of the 1000 randomised patients. One-year mortality was 224/501 (44.7%) in the haloperidol group versus 251/486 (51.6%) in the placebo group, with an adjusted absolute risk difference of − 6.4%-points (95% confidence interval [CI] − 12.8%-points to − 0.2%-points; P = 0.045). These results were largely consistent across the secondary analyses. For HRQoL, the adjusted mean differences were 0.04 (95% CI − 0.03 to 0.11; P = 0.091) for EQ-5D-5L-5L index values, and 3.3 (95% CI − 9.3 to 17.5; P = 0.142) for EQ VAS. Conclusions: In acutely admitted adult ICU patients with delirium, haloperidol treatment reduced mortality at 1-year follow-up, but did not statistically significantly improve HRQoL.

Studies across schizophrenia (SZ) and bipolar disorder (BD) indicate common transdiagnostic neurocognitive subgroups. However, existing studies of patients with long-term illness precludes insight into whether impairments result from effects of chronic illness, medication or other factors. This study aimed to investigate whether neurocognitive subgroups across SZ and BD can be demonstrated during early illness stages. Data from overlapping neuropsychological tests were pooled from cohort studies of antipsychotic-naïve patients with first-episode SZ spectrum disorders (n = 150), recently diagnosed BD (n = 189) or healthy controls (HC) (n = 280). Hierarchical cluster analysis was conducted to examine if transdiagnostic subgroups could be identified based on the neurocognitive profile. Patterns of cognitive impairments and patient characteristics across subgroups were examined. Patients could be clustered into two, three and four subgroups, of which the three-cluster solution (with 83% accuracy) was selected for posthoc analyses. This solution revealed a subgroup covering 39% of patients (predominantly BD) who were cognitively relatively intact, a subgroup of 33% of patients (more equal distributions of SZ and BD) displaying selective deficits, particularly in working memory and processing speed, and a subgroup of 28% (mainly SZ) with global impairments. The globally impaired group exhibited lower estimated premorbid intelligence than the other subgroups. Globally impaired BD patients also showed more functional disability than cognitively relatively intact patients. No differences were observed across subgroups in symptoms or medications. Neurocognitive results can be understood by clustering analysis with similar clustering solutions occurring across diagnoses. The subgroups were not explained by clinical symptoms or medication, suggesting neurodevelopmental origins.

Background: Intensive care unit (ICU)-acquired delirium is frequent and associated with poor short- and long-term outcomes for patients in ICUs. It therefore constitutes a major healthcare problem. Despite limited evidence, haloperidol is the most frequently used pharmacological intervention against ICU-acquired delirium. Agents intervening against Delirium in the ICU (AID-ICU) is an international, multicentre, randomised, blinded, placebo-controlled trial investigates benefits and harms of treatment with haloperidol in patients with ICU-acquired delirium. The current pre-planned one-year follow-up study of the AID-ICU trial population aims to explore the effects of haloperidol on one-year mortality and health related quality of life (HRQoL). Methods : The AID-ICU trial will include 1000 participants. One-year mortality will be obtained from the trial sites; we will validate the vital status of Danish participants using the Danish National Health Data Registers. Mortality will be analysed by Cox-regression and visualized by Kaplan-Meier curves tested for significance using the log-rank test. We will obtain HRQoL data using the EQ-5D instrument. HRQoL analysis will be performed using a general linear model adjusted for stratification variables. Deceased participants will be designated the worst possible value. Results: We expect to publish results of this study in 2022. Conclusion: We expect that this one-year follow-up study of participants with ICU-acquired delirium allocated to haloperidol vs. placebo will provide important information on the long-term consequences of delirium including the effects of haloperidol. We expect that our results will improve the care of this vulnerable patient group.

Background Haloperidol is frequently used to treat delirium in patients in the intensive care unit (ICU), but evidence of its effect is limited. Methods In this multicenter, blinded, placebo-controlled trial, we randomly assigned adult patients with delirium who had been admitted to the ICU for an acute condition to receive intravenous haloperidol (2.5 mg 3 times daily plus 2.5 mg as needed up to a total maximum daily dose of 20 mg) or placebo. Haloperidol or placebo was administered in the ICU for as long as delirium continued and as needed for recurrences. The primary outcome was the number of days alive and out of the hospital at 90 days after randomization. Results A total of 1000 patients underwent randomization; 510 were assigned to the haloperidol group and 490 to the placebo group. Among these patients, 987 (98.7%) were included in the final analyses (501 in the haloperidol group and 486 in the placebo group). Primary outcome data were available for 963 patients (97.6%). At 90 days, the mean number of days alive and out of the hospital was 35.8 (95% confidence interval [CI], 32.9 to 38.6) in the haloperidol group and 32.9 (95% CI, 29.9 to 35.8) in the placebo group, with an adjusted mean difference of 2.9 days (95% CI, -1.2 to 7.0) (P=0.22). Mortality at 90 days was 36.3% in the haloperidol group and 43.3% in the placebo group (adjusted absolute difference, -6.9 percentage points [95% CI, -13.0 to -0.6]). Serious adverse reactions occurred in 11 patients in the haloperidol group and in 9 patients in the placebo group. Conclusions Among patients in the ICU with delirium, treatment with haloperidol did not lead to a significantly greater number of days alive and out of the hospital at 90 days than placebo.

Background: The AID-ICU trial aims to assess the benefits and harms of haloperidol for the treatment of delirium in acutely admitted, adult intensive care unit (ICU) patients. This paper describes the detailed statistical analysis plan for the primary publication of results from the AID-ICU trial. Methods: The AID-ICU trial is a investigator-initiated, pragmatic, international, multicentre, randomised, blinded, parallel-group trial allocating 1000 adult ICU patients with manifest delirium 1:1 to haloperidol or placebo. The primary outcome measure is days alive and out of hospital within 90 days post-randomisation. Secondary outcome measures are days alive without delirium or coma, Serious Adverse Reactions (SARs) to haloperidol, use of escape medicine, days alive without mechanical ventilation, and mortality, health-related quality-of-life measures and cognitive function 1-year post-randomisation. Statistical analysis will be conducted in accordance with the current pre-specified statistical analysis plan. One formal interim analysis will be performed. The primary outcome will be adjusted for stratification variables (site and delirium motor subtype) and compared between treatment groups using a likelihood ratio test described by Jensen et al. A secondary analysis will be conducted with additional adjustment of the primary outcome for prognostic variables at baseline. The primary conclusion of the trial will be based on the intention-to-treat analysis of the primary outcome adjusted for stratification variables. Conclusion: The AID-ICU trial will provide important, high-quality data on the benefits and harms of treatment with haloperidol in acutely admitted, adult patients with manifest delirium in the ICU.

Background Individuals at ultra-high risk for psychosis (UHR) present with subtle white matter alterations, which have been associated with clinical and functional outcome. The effect of cognitive remediation on white matter (WM) in UHR-individuals has not been investigated. Methods In a randomized, clinical intervention-trial (FOCUS), UHR-individuals aged 18–40 years were assigned to treatment as usual (TAU) or TAU plus cognitive remediation (CR) for 20 weeks. CR comprised 20 x 2-hour sessions of neurocognitive and social-cognitive training (SCIT). Primary outcome was whole brain fractional anisotropy (FA) derived from diffusion weighted imaging. Secondary outcomes pertained to regions of interest analyses. Planned post-hoc analyses explored dose-response effects of CR on WM. Main analyses of treatment effect of CR on primary and secondary outcomes were conducted using linear mixed models, assessing the interaction of timepoint by group (CR and TAU). Analyses were conducted according to the intention-to-treat principle. Results 111 UHR-individuals and 59 healthy controls were included. Attrition-rate was 30% at 6 months post-treatment follow-up. The CR group completed a mean of 12 hours of neurocognitive training. We found no effect of CR on whole-brain or regional FA. Planned post-hoc analyses revealed significant time*group (high- and low-attendance to CR) interactions in left superior corona radiata (p<0.01), left cingulum cingulate gyrus (P=0.03), and right superior longitudinal fasciculus (P<0,01), corrected. Specifically, when compared to UHR-individuals with high attendance (UHR-high >12 hours), those with low attendance (UHR-low <12 hours) had more co-morbid diagnoses, larger recreational smoking (nicotine and cannabis), more depressive and negative symptoms, and had significantly lower global FA at baseline, and showed a significant increase in FA after treatment. Furthermore, UHR-low displayed large effec

Objective: Antipsychotic-induced weight gain (AiWG) is a debilitating adverse effect of most antipsychotics. First-episode psychosis patients are particularly vulnerable to the detrimental consequences of AiWG. Amisulpride has good efficacy and tolerability. We here aimed to identify the phenotypic factors associated with amisulpride-induced weight gain in first-episode psychosis patients. Method: Data were collected from the Optimization of Treatment and Management of Schizophrenia in Europe trial. Multivariable regression models with various phenotypic variables (N = 305) were performed with absolute AiWG and clinically relevant AiWG (≥7% AiWG) as outcomes. Results: Four weeks of amisulpride treatment increased body weight from 69.7 to 72.4 kg (P < 0.001). In the regression model of absolute AiWG, unemployment (β = 0.94, P = 0.016), younger age (β = −0.07, P = 0.031) and absence of current comorbid major depression disorder (β = −1.61, P = 0.034) were positively associated with absolute AiWG. In the regression model of clinically relevant AiWG, unemployment (OR = 2.83, P = 0.001), schizophreniform disorder (OR = 2.00, P = 0.025) and low baseline weight (OR = 0.97, P = 0.032) increased the likelihood of clinically relevant AiWG. Conclusions: Clinicians prescribing amisulpride should consider the relatively high susceptibility to AiWG in unemployed first-episode patients with psychosis, in particular young subjects with a diagnosis of schizophreniform disorder. We advise to carefully monitor these patients and, when needed, implement weight-reducing strategies.

Background: Delirium among patients in the intensive care unit (ICU) is a common condition associated with increased morbidity and mortality. Haloperidol is the most frequently used pharmacologic intervention, but its use is not supported by firm evidence. Therefore, we are conducting Agents Intervening against Delirium in the Intensive Care Unit (AID-ICU) trial to assess the benefits and harms of haloperidol for the treatment of ICU-acquired delirium. Methods: AID-ICU is an investigator-initiated, pragmatic, international, randomised, blinded, parallel-group, trial allocating adult ICU patients with manifest delirium 1:1 to haloperidol or placebo. Trial participants will receive intravenous 2.5 mg haloperidol three times daily or matching placebo (isotonic saline 0.9%) if they are delirious. If needed, a maximum of 20 mg/daily haloperidol/placebo is given. An escape protocol, not including haloperidol, is part of the trial protocol. The primary outcome is days alive out of the hospital within 90 days post-randomisation. Secondary outcomes are number of days without delirium or coma, serious adverse reactions to haloperidol, usage of escape medication, number of days alive without mechanical ventilation; mortality, health-related quality-of-life and cognitive function at 1-year follow-up. A sample size of 1000 patients is required to detect a 7-day improvement or worsening of the mean days alive out of the hospital, type 1 error risk of 5% and power 90%. Perspective: The AID-ICU trial is based on gold standard methodology applied to a large sample of clinically representative patients and will provide pivotal high-quality data on the benefits and harms of haloperidol for the treatment ICU-acquired delirium.

ackground Individuals at ultra-high-risk for psychosis (UHR) are characterized by decline in cognitive functions. As cognition are suggested to be structural dependent on cerebral white matter organization, we here examine, if patterns of cognitive functions are associated with alterations in white matter for UHR compared to healthy controls (HC). Methods 116 UHR and 49 HCs underwent diffusion weighted imaging using a 3 Tesla magnetic resonance imaging scanner and were cognitively assessed. Group differences on whole brain fractional anisotropy were tested using tract-based spatial statistics. With univariate general linear modelling we tested group differences on cognition and white matter fractional anisotropy, voxel-wise and in regions of interest. Using multivariate testing, we examined associations between patterns of cognitive functions and regional fractional anisotropy. Finally, we tested covariance between the patterns of cognitive functions and additional white matter measures. Results As expected for UHR, we found significant impairments on 14 out of 17 outcomes for cognitive functions, and lower fractional anisotropy in one focal cluster comprising the superior longitudinal fasciculus R and cingulum (cingulate gyrus) R. Multivariate analyses indicated different associations between patterns of cognitive functions and white matter microstructure for UHR compared to HCs. Significant correlations between similar cognitive function and different regional fractional anisotropy patterns in UHR compared to HCs (omnibus test p=0.038) was revealed. Two strongly significant covariations were identified: LV5 (p=0.002) explaining 7.4% of the covariance; and LV6 (p=0.011) explaining 5.5% of the covariance. Patterns of cognitive functions were associated with interaction effect on fractional anisotropy in localized regions: fornix and medial lemniscus bilateral (LV5), and uncinate fasciculus L and superior Cerebellar Penducle L (LV6). Analyses of a

OBJECTIVE: Using national Danish registers, we estimated rates of clozapine-associated cardiac adverse events. Rates of undiagnosed myocarditis were estimated by exploring causes of death after clozapine initiation.METHOD: Through nationwide health registers, we identified all out-patients initiating antipsychotic treatment (January 1, 1996-January 1, 2015). Rates of clozapine-associated myocarditis and pericarditis within 2 months from clozapine initiation and rates of cardiomyopathy within 1-2 years from clozapine initiation were compared to rates for other antipsychotics. Mortality within 2 months from clozapine initiation was extracted.RESULTS: Three thousand two hundred and sixty-two patients of a total 7932 patients initiated clozapine as out-patients (41.12%). One patient (0.03%) developed myocarditis, and no patients developed pericarditis within 2 months from clozapine initiation. Two (0.06%) and four patients (0.12%) developed cardiomyopathy within 1 and 2 years respectively. Rates were similar for other antipsychotics. Twenty-six patients died within 2 months from clozapine initiation. Pneumonia (23.08%) and stroke (11.54%) were the main causes of death. We estimated the maximum rate of clozapine-associated fatal myocarditis to 0.28%.CONCLUSION: Cardiac adverse effects in Danish out-patients initiating clozapine treatment are extremely rare and these rates appear to be comparable to those observed for other antipsychotic drugs.

Deficits in information processing and cognition are among the most robust findings in schizophrenia patients. Previous efforts to translate group-level deficits into clinically relevant and individualized information have, however, been non-successful, which is possibly explained by biologically different disease subgroups. We applied machine learning algorithms on measures of electrophysiology and cognition to identify potential subgroups of schizophrenia. Next, we explored subgroup differences regarding treatment response. Sixty-six antipsychotic-naive first-episode schizophrenia patients and sixty-five healthy controls underwent extensive electrophysiological and neurocognitive test batteries. Patients were assessed on the Positive and Negative Syndrome Scale (PANSS) before and after 6 weeks of monotherapy with the relatively selective D2 receptor antagonist, amisulpride (280.3±159 mg per day). A reduced principal component space based on 19 electrophysiological variables and 26 cognitive variables was used as input for a Gaussian mixture model to identify subgroups of patients. With support vector machines, we explored the relation between PANSS subscores and the identified subgroups. We identified two statistically distinct subgroups of patients. We found no significant baseline psychopathological differences between these subgroups, but the effect of treatment in the groups was predicted with an accuracy of 74.3% (P=0.003). In conclusion, electrophysiology and cognition data may be used to classify subgroups of schizophrenia patients. The two distinct subgroups, which we identified, were psychopathologically inseparable before treatment, yet their response to dopaminergic blockade was predicted with significant accuracy. This proof of principle encourages further endeavors to apply data-driven, multivariate and multimodal models to facilitate progress from symptom-based psychiatry toward individualized treatment regimens.

BACKGROUND: Individuals at ultra-high-risk (UHR) for psychosis present with emerging symptoms and decline in functioning. Previous univariate analyses have indicated widespread white matter (WM) aberrations in multiple brain regions in UHR individuals and patients with schizophrenia. Using multivariate statistics, we investigated whole brain WM microstructure and associations between WM, clinical symptoms, and level of functioning in UHR individuals.METHODS: Forty-five UHR individuals and 45 matched healthy controls (HCs) underwent magnetic resonance diffusion tensor imaging (DTI) at 3 Tesla. UHR individuals were assessed with the Comprehensive Assessment of At-Risk Mental States, Scale for the Assessment of Negative Symptoms, and Social and Occupational Functioning Assessment Scale. Partial least-squares correlation analysis (PLSC) was used as statistical method.RESULTS: PLSC group comparisons revealed one significant latent variable (LV) accounting for 52% of the cross-block covariance. This LV indicated a pattern of lower fractional anisotropy (FA), axial diffusivity (AD), and mode of anisotropy (MO) concomitant with higher radial diffusivity (RD) in widespread brain regions in UHR individuals compared with HCs. Within UHR individuals, PLSC revealed five significant LVs associated with symptoms and level of functioning. The first LV accounted for 31% of the cross-block covariance and indicated a pattern where higher symptom score and lower level of functioning correlated to lower FA, AD, MO, and higher RD.CONCLUSIONS: UHR individuals demonstrate complex brain patterns of WM abnormalities. Despite the subtle psychopathology of UHR individuals, aberrations in WM appear associated with positive and negative symptoms as well as level of functioning.

OBJECTIVE: Schizophrenia is associated with profound cognitive and psychosocial impairments. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are used for diabetes and obesity treatment, and animal studies have indicated cognitive-enhancing effects. In this investigator-initiated, double-blind, randomized, placebo-controlled trial, we tested non-metabolic effects of exenatide once-weekly (Bydureon™) in obese, antipsychotic-treated patients with schizohrenia spectrum disorder.METHOD: Before and after 3 months of exenatide (N = 20) or placebo (N = 20) treatment, patients were assessed with the following: Brief Assessment of Cognition in Schizophrenia (BACS), Rey-Osterreith complex figure test (REY), Short-Form Health Survey (SF-36), Personal and Social Performance Scale (PSP) and the Positive and Negative Syndrome Scale (PANSS). We used BACS composite score as the main outcome measure.RESULTS: Repeated measures analysis of variance on BACS composite score showed significant effect of 'Time' (P < 0.001), no effect of 'Group' (P = 0.64) and no 'Time*Group' interaction (P = 0.77). For REY, SF-36, PSP and PANSS, only significant 'Time' effects were found.CONCLUSION: The non-significant results of this first clinical trial exploring non-metabolic effects of a long-acting GLP-1RA in patients with schizophrenia could reflect a general problem of translating cognitive-enhancing effects of GLP-1RAs from animals to humans or be explained by factors specifically related to schizophrenia spectrum patients with obesity such as antipsychotic treatment.