Early response to antipsychotic drug therapy as a clinical marker of subsequent response in the treatment of schizophrenia

Real-world Effectiveness and Tolerability of Lurasidone in Outpatients with Bipolar DisorderII- A 24 week retrospective study (RETLO-BDIIstudy)

OBJECTIVES

We conducted a retrospective study to investigate the efficacy and safety of lurasidone (LUR) in outpatients with depressive episodes of bipolar disorder II (BD2) in real world setting.

METHODS

We retrospectively analyzed the clinical data obtained from the medical records of the Horikoshi Psychosomatic Clinic between February 2020 and April 2022. A total of 78 patients with BD2 who experienced a depressive episode were included in this study. The primary outcome was the mean change in the Montgomery-Åsberg Depression Rating Scale (MADRS) score from baseline to 8 weeks (W). The secondary outcome was the mean change in the MADRS score from baseline to 2, 4, and 12 W. Discontinuation and adverse event rates were measured after 24 W.

RESULTS

After starting LUR, the mean total score of the MADRS significantly decreased at 8 W (-11.8 ± 8.26, P < 0.0001). Patients with BD2 who underwent the treatment with LUR showed significantly great improvement at 2 W (-8.38 ± 8.75, P< 0.0001), 4 W (-11.2 ± 8.36 P < 0.0001), and 24 W (-11.6 ± 7.29, P < 0.0001). The discontinuation and adverse event rates in patients who underwent LUR were 23.1 % and 37.2 %, respectively.

CONCLUSION

LUR significantly improved depressive symptoms in patients with BD2 at 8 W. Moreover, treatment with LUR resulted in early improvement at 2 W and efficacy for 24 weeks. In summary, LUR demonstrated effectiveness and safety in acute depressive episodes of BD2, including mid-term efficacy in real-world clinical settings.

Switching antipsychotics versus continued current treatment in people with non-responsive schizophrenia

BACKGROUND

Many people with schizophrenia do not respond to an initially prescribed antipsychotic drug. In such cases, one treatment strategy could be to switch to a different antipsychotic drug.

OBJECTIVES

To examine the effects of switching antipsychotic drugs in treating people with schizophrenia who have not responded to initial antipsychotic treatment.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group Trials Register (to December 2022). We inspected the references of all included studies for further relevant trials.

SELECTION CRITERIA

We included all relevant randomised controlled trials (RCTs) comparing switching to a different antipsychotic drug rather than continuing treatment with the same antipsychotic drug for people with schizophrenia who did not respond to their initial antipsychotic treatment.

DATA COLLECTION AND ANALYSIS

At least two review authors independently extracted data. The primary outcomes were: clinically relevant response as defined by study authors; tolerability (participants leaving the study early due to adverse effects); and quality of life assessed by the change score in the 36-Item Short Form survey. We analysed dichotomous data using the risk ratio (RR) and its 95% confidence interval (CI). We analysed continuous data using mean differences (MD) and corresponding 95% CI. We assessed the risk of bias of the included studies and used GRADE to evaluate the certainty of evidence for the following outcomes: clinically relevant response, tolerability (leaving the study early due to adverse effects), quality of life score change, acceptability (leaving the study early for any reason), general mental state (average change in general mental state scores), duration of hospitalisation, and number of participants experiencing at least one adverse effect.

MAIN RESULTS

We included 10 RCTs with 997 participants in the review. Nine studies used a parallel design, and one used a cross-over design. Seven studies were double-blind, two were single-blind and one did not provide any detail regarding blinding. All studies included people who were non-responsive to ongoing antipsychotic treatment. The minimum duration of the ongoing antipsychotic treatment ranged from three days to two years. The length of the comparison phase varied from two weeks to six months. The studies were published between 1993 and 2022. In about half of the studies, the methods of randomisation, allocation and blinding were poorly reported. The evidence is very uncertain regarding the effect of switching antipsychotics on clinically relevant response (RR 1.25, 95% CI 0.77 to 2.03; I² = 43%; 7 studies, 693 participants), quality of life (MD -1.30, 95% CI -3.44 to 0.84; 1 study, 188 participants), Positive and Negative Syndrome Scale (PANSS) score change (MD -0.92, 95% CI -4.69 to 2.86; I² = 47%; 6 studies, 777 participants), duration of hospitalisation (in days) (MD 9.19, 95% CI -8.93 to 27.31; I² = 0%; 2 studies, 34 participants) and the number of people experiencing at least one adverse effect (RR 1.29, 95% CI 0.81 to 2.05; I² = 36%; 3 studies, 412 participants). Compared to continuing current treatment, switching antipsychotics may result in little to no difference in tolerability, defined as the number of participants leaving the study early due to adverse effects (RR 0.73, 95% CI 0.24 to 2.26; I² = 31%; 6 studies, 672 participants; low-certainty evidence) and leaving the study early for any reason (RR 0.91, 95% CI 0.71 to 1.17; I² = 0%; 6 studies, 672 participants; low-certainty evidence).

AUTHORS' CONCLUSIONS

This review synthesises currently available RCT evidence on switching antipsychotics versus continuing the same antipsychotic in individuals with schizophrenia who did not respond to their initial treatment. Overall, the evidence remains highly uncertain regarding the effects of either strategy on efficacy and safety outcomes, and no definitive recommendations can currently be made. There is an urgent need for larger, well-designed trials to identify the optimal treatment strategy for these cases.

Bioenergetic markers in cerebrospinal fluid in first-episode psychosis: Are they predictors of early antipsychotic response and 1-year outcomes?

Psychotic disorders involve complex pathophysiological mechanisms, and identification of biomarkers for treatment response remains a major challenge. We aimed to study whether routine cerebrospinal fluid (CSF) parameters measured at baseline predict poor early response at 2 weeks with optimal antipsychotic treatment doses in patients with first-episode psychosis (FEP). We also explored whether these parameters could predict changes in social functioning and psychopathology over a 1-year follow-up. Ninety-eight inpatients with FEP who had received less than 6 weeks of antipsychotic treatment were included in the study. A lumbar puncture was performed at the index admission to measure CSF parameters (glucose, total protein, and lactate dehydrogenase [LDH]). The Positive and Negative Syndrome Scale (PANSS) was administered. A poor early treatment response at week 2 was defined as a < 20 % reduction in the PANSS positive subscore of a consensus factor. Social functioning was assessed using the Personal and Social Performance Scale (PSP) at baseline and 2, 4, 6, 9, and 12 months. Statistical analyses explored the role of CSF biomarkers in early treatment response using logistic regression and long-term social functioning and psychopathology using mixed linear regression analyses. Eighteen patients with FEP (18.4 %) were nonresponders at week 2. The CSF LDH concentration was a predictor of early treatment nonresponse. Higher CSF LDH concentrations were associated with a reduced improvement in social functioning at month 2, and higher CSF glucose concentrations were associated with lower reductions in the PANSS total scores at all visits. These findings suggest that specific bioenergetic parameters in the CSF, such as LDH and glucose, may serve as prognostic biomarkers for early treatment response and 1-year social and psychopathological outcomes in patients with FEP.

Early improvement with cariprazine as a predictor of antidepressant, anxiolytic, and antimanic response in bipolar I mania and depression: A pooled post hoc analysis of randomized cariprazine trials

BACKGROUND

Early symptomatic improvement may predict treatment response in bipolar I disorder. Cariprazine has demonstrated early treatment effects in bipolar I depression and mania studies; therefore, we assessed whether early improvement with cariprazine predicts eventual treatment response.

METHODS

Post hoc analyses used pooled data from randomized, double-blind, placebo-controlled bipolar I depression (NCT02670538, NCT02670551) and mania (NCT00488618, NCT01058096, NCT01058668) trials. In depression studies (cariprazine 1.5 mg/d, 3 mg/d, or placebo), early improvement in Montgomery-Åsberg Depression Rating Scale (MADRS) and Hamilton Anxiety Rating Scale (HAM-A) total scores (≥25 % improvement at day 15) and subsequent depressive/anxiety symptom response status (≥50 % improvement at week 6) were assessed. In mania studies (cariprazine 3-12 mg/d or placebo), early improvement in Young Mania Rating Scale (YMRS) total scores (≥25 % improvement at day 7) and manic symptom response status (≥50 % improvement at week 3) were assessed.

RESULTS

Patients with bipolar I depression and early MADRS improvement were approximately 4- to 6-times as likely to achieve MADRS or HAM-A response than those without early improvement; patients with early HAM-A improvement were approximately 3- to 4-times as likely to achieve MADRS or HAM-A response. A subset of patients without early improvement with cariprazine 1.5 mg/d (20 %-31 %) subsequently responded following up-titration. Patients with mania and early YMRS improvement were approximately 5 times more likely to have manic symptom response than those without early improvement.

LIMITATIONS

Post hoc analysis; relatively short study durations; flexible-dosing (mania studies).

CONCLUSIONS

Early symptom improvement with cariprazine may inform therapeutic decisions for patients with bipolar I disorder.

The schizophrenia syndrome, circa 2024: What we know and how that informs its nature

With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.

Association of serum brain-derived neurotrophic factor level and early response to antipsychotic drug in first-episode patients with schizophrenia

OBJECTIVES

To investigate the role of Brain derived neurotrophic factor (BDNF) in the psychotic symptoms in first-episode patients with schizophrenia and whether BDNF levels were associated with the improvement of psychotic symptoms after risperidone treatment.

METHODS

89 schizophrenia patients and 90 healthy controls were recruited, the schizophrenia patients were assigned into early response or early non-response groups at 2 weeks based on improvement in the positive and negative symptoms scale (PANSS) total score. All patients were treated with risperidone for 2 weeks, their serum BDNF levels were compared at baseline and after 2 weeks treatment.

RESULTS

We found that patients had lower BDNF levels, compared to controls at baseline. After 2 weeks of treatment of risperidone, BDNF levels were significantly increased and psychotic symptoms were decreased in early response group. Correlation analysis showed that the change of BDNF levels after treatment was correlated with the change of PANSS total score. Further regression analysis showed that the change in BDNF levels was an independent predictor for the improvement in psychotic symptoms.

CONCLUSIONS

Our findings reveal that the level of BDNF was lower in first-episode schizophrenic patients, moreover, the changes in serum BDNF levels may have a predictive effect on the early improvement in psychotic symptoms in the first 2 weeks.

Early Non-Response to Antipsychotic Treatment in Schizophrenia: A Systematic Review and Meta-Analysis of Evidence-Based Management Options

BACKGROUND

Early non-response is a well-established prognostic marker but evidence-based and consistent recommendations to manage it are limited. The aim of this systematic review and meta-analysis was to generate evidence-based strategies for the management of schizophrenia patients with early non-response to 2 weeks of antipsychotic treatment.

METHODS

We conducted a systematic review and meta-analysis of randomized trials comparing antipsychotic dose escalation, switch, augmentation and continuation in individuals with study-defined early antipsychotic treatment non-response. Eligibility criteria were (1) clinical trials of primary psychosis treating for at least 2 weeks with antipsychotic monotherapy with study-defined operationalized criteria for early non-response; and (2) randomization to at least two of the following treatment strategies: dose escalation, switch, augmentation, or treatment continuation. Information sources were Pubmed, PsycINFO, and EMBASE, and risk of bias was assessed using Jadad scores. Results were synthesized using random-effects meta-analysis, comparing each intervention with treatment continuation for total symptom change as the primary outcome, generating standardized mean differences (SMDs) and 95% confidence intervals (CIs). Studies meeting the selection criteria but providing insufficient data for a meta-analysis were presented separately.

RESULTS

We screened 454 records by 1 August 2022, of which 12 individual datasets met the inclusion criteria, representing 947 research participants. Of those studies, five provided data to include in the meta-analysis (four with early non-response at 2 weeks, one at 3 weeks). Early non-response was defined within a timeline of 2 weeks in eight datasets, with the remaining datasets ranging between 3 and 4 weeks. The rates of early non-response ranged between 72.0 and 24.1%, and the endpoint ranged within 4-24 weeks post randomization. Quality was good (i.e., Jadad score of ≥3) in 8 of the 12 datasets. Overall, three studies compared antipsychotic switch versus continuation and two compared antipsychotic switch versus augmentation, in both cases without significant pooled between-group differences for total symptom severity (n = 149, SMD 0.18, 95% CI -0.14 to 0.5). Individually, two relatively large studies for antipsychotic switch versus continuation found small advantages for switching antipsychotics for total symptom severity (n = 149, SMD -0.49, 95% CI -1.05 to -0.06). One relatively large study found an advantage for dose escalation, although this finding has not been replicated and was not included in the meta-analysis. None of the alternatives included antipsychotic switch to clozapine.

CONCLUSIONS

Despite robust accuracy of early antipsychotic non-response predicting ultimate response, the evidence for treatment strategies that should be used for early non-response after 2-3 weeks is limited. While meta-analytic findings were non-significant, some individual studies suggest advantages of antipsychotic switch or dose escalation. Therefore, any conclusions should be interpreted carefully, given the insufficient high-quality evidence.

Lurasidone for the treatment of schizophrenia in adult and paediatric populations

Schizophrenia is a common debilitating disorder characterized by significant impairments in how reality is perceived, combined with behavioural changes. In this review, we describe the lurasidone development programme for adult and paediatric patients. Both the pharmacokinetic and pharmacodynamic characteristics of lurasidone are revisited. In addition, pivotal clinical studies conducted on both adults and children are summarized. Several clinical cases, which demonstrate the role of lurasidone in real-world practice, are also presented. Current clinical guidelines recommend lurasidone as the first-line treatment in the acute and long-term management of schizophrenia in both adult and paediatric populations.

Incidence and factors associated of early non-response in first-treatment and drug-naïve patients with schizophrenia: a real-world study

Background

Schizophrenia is a severe and persistent mental condition that causes disability. For subsequent clinical care, it is extremely practical to effectively differentiate between patients who respond to therapy quickly and those who do not. This study set out to document the prevalence and risk factors for patient early non-response.

Methods

The current study included 143 individuals with first-treatment and drug-naïve (FTDN) schizophrenia. Patients were classified as early non-responders based on a Positive and Negative Symptom Scale (PANSS) score reduction of less than 20% after 2 weeks of treatment, otherwise as early responders. Clinical subgroups' differences in demographic data and general clinical data were compared, and variables related to early non-response to therapy were examined.

Results

Two weeks later, a total of 73 patients were described as early non-responders, with an incidence of 51.05%. The early non-response subgroup had significantly higher PANSS scores, Positive symptom subscale (PSS) scores, General psychopathology subscale (GPS) scores, Clinical global impression scale - severity of illness (CGI-SI) and Fasting blood glucose (FBG) levels compared to the early-response subgroup. CGI-SI and FBG were risk factors for early non-response.

Conclusion

High rates of early non-response have been seen in FTDN schizophrenia patients, and risk variables for predicting early non-response include CGI-SI scores and FBG levels. However, we need more in-depth studies to confirm the generalizable range of these two parameters.

Early Efficacy of Antipsychotic Medications at Week 2 Predicts Subsequent Responses at Week 6 in a Large-scale Randomized Controlled Trial

BACKGROUND

Since the early clinical efficacy of antipsychotics has not yet been well perceived, this study sought to decide whether the efficacy of antipsychotics at week 2 can predict subsequent responses at week 6 and identify how such predictive capacities vary among different antipsychotics and psychotic symptoms.

METHODS

A total of 3010 patients with schizophrenia enrolled in a randomized controlled trial (RCT) and received a 6-week treatment with one antipsychotic drug randomly chosen from five atypical antipsychotics (risperidone 2-6 mg/d, olanzapine 5-20 mg/d, quetiapine 400-750 mg/d, aripiprazole 10-30 mg/d, and ziprasidone 80-160 mg/d) and two typical antipsychotics (perphenazine 20-60 mg/d and haloperidol 6-20 mg/d). Early efficacy was defined as the reduction rate using the Positive and Negative Syndrome Scale (PANSS) total score at week 2. With cut-offs at 50% reduction, logistic regression, receiver operating characteristic (ROC) and random forests were adopted.

RESULTS

The reduction rate of PANSS total score and improvement of psychotic symptoms at week 2 enabled subsequent responses to 7 antipsychotics to be predicted, in which improvements in delusions, lack of judgment and insight, unusual thought content, and suspiciousness/ persecution were endowed with the greatest weight.

CONCLUSION

It is robust enough to clinically predict treatment responses to antipsychotics at week 6 using the reduction rate of PANSS total score and symptom relief at week 2. Psychiatric clinicians had better determine whether to switch the treatment plan by the first 2 weeks.

Onset of Action of Selected Second-Generation Antipsychotics (Pines)-A Systematic Review and Meta-Analyses

Recommendations for duration of treatment with antipsychotics before considering a switch vary from 2 to 8 weeks, although several studies suggest a rapid onset of action. The objective of this review was to estimate time to onset of action and time to maximum antipsychotic effect of asenapine, olanzapine, quetiapine, and zotepine (pines). We searched bibliographic databases for randomized, placebo-controlled trials in adults with schizophrenia estimating the antipsychotic effect of pines over time. Thirty-five studies including 6331 patients diagnosed with chronic schizophrenia were included. We estimated the standardized mean differences (SMD) of changes in symptom score from baseline to follow-up between intervention and placebo groups across studies using meta-analysis techniques. The summarized effect across all included pines administered as immediate-release formulations showed a statistically significant effect at week 1 (SMD, -0.20 [CI95% -0.28, -0.13]), which increased until week 3 (SMD, -0.42 [CI95% -0.50, -0.34]), after which the effect leveled off (week 6: SMD, -0.53 [CI95% -0.62, -0.44]). The sensitivity analyses of the individual pines confirm this finding, although data sparsity increases variability and limits conclusiveness of these analyses.

Sevoflurane Ameliorates Schizophrenia in a Mouse Model and Patients: A Pre-Clinical and Clinical Feasibility Study

BACKGROUND

GABAergic deficits have been considered to be associated with the pathophysiology of schizophrenia, and hence, GABA receptors subtype A (GABA_ARs) modulators, such as commonly used volatile anesthetic sevoflurane, may have therapeutic values for schizophrenia. The present study investigates the therapeutic effectiveness of low-concentration sevoflurane in MK801-induced schizophrenia-like mice and schizophrenia patients.

METHODS

Three weeks after MK801 administration (0.5 mg kg^-1, i.p. twice a day for 5 days), mice were exposed to 1% sevoflurane 1hr/day for 5 days. Behavioral tests, immunohistochemical analysis, western blot assay, and electrophysiology assessments were performed 1-week post-exposure. Ten schizophrenia patients received 1% sevoflurane 5 hrs per day for 6 days and were assessed with the Positive and Negative Syndrome Scale (PANSS) and the 18-item Brief Psychiatric Rating Scale (BPRS-18) at week 1 and week 2.

RESULTS

MK801 induced hypolocomotion and social deficits, downregulated expression of NMDARs subunits and postsynaptic density protein 95 (PSD95), reduced parvalbumin - and GAD67-positive neurons, altered amplitude and frequency of mEPSCs and mIPSCs, and increased the excitation/inhibition ratio. All these changes induced by MK-801 were attenuated by sevoflurane administration. Six and eight patients achieved a response defined as a reduction of at least 30% in the PANSS total score at 1st and 2nd week after treatments. The BPRS-18 total score was found to be significantly decreased by 38% at the 2nd week (p < 0.01).

CONCLUSION

Low-concentration sevoflurane effectively reversed MK801-induced schizophrenialike disease in mice and alleviated schizophrenia patients' symptoms. Our work suggests sevoflurane to be a valuable therapeutic strategy for treating schizophrenia patients.

The effect of antipsychotics on glutamate levels in the anterior cingulate cortex and clinical response: A 1H-MRS study in first-episode psychosis patients

Introduction

Glutamatergic dysfunction is implicated in the pathophysiology of schizophrenia. It is unclear whether glutamatergic dysfunction predicts response to treatment or if antipsychotic treatment influences glutamate levels. We investigated the effect of antipsychotic treatment on glutamatergic levels in the anterior cingulate cortex (ACC), and whether there is a relationship between baseline glutamatergic levels and clinical response after antipsychotic treatment in people with first episode psychosis (FEP).

Materials and methods

The sample comprised 25 FEP patients; 22 completed magnetic resonance spectroscopy scans at both timepoints. Symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS).

Results

There was no significant change in glutamate [baseline 13.23 ± 2.33; follow-up 13.89 ± 1.74; t(21) = -1.158, p = 0.260], or Glx levels [baseline 19.64 ± 3.26; follow-up 19.66 ± 2.65; t(21) = -0.034, p = 0.973]. There was no significant association between glutamate or Glx levels at baseline and the change in PANSS positive (Glu r = 0.061, p = 0.777, Glx r = -0.152, p = 0.477), negative (Glu r = 0.144, p = 0.502, Glx r = 0.052, p = 0.811), general (Glu r = 0.110, p = 0.607, Glx r = -0.212, p = 0.320), or total scores (Glu r = 0.078, p = 0.719 Glx r = -0.155, p = 0.470).

Conclusion

These findings indicate that treatment response is unlikely to be associated with baseline glutamatergic metabolites prior to antipsychotic treatment, and there is no major effect of antipsychotic treatment on glutamatergic metabolites in the ACC.

Early Antipsychotic Nonresponse as a Predictor of Nonresponse and Nonremission in Adolescents With Psychosis Treated With Aripiprazole or Quetiapine: Results From the TEA Trial

OBJECTIVE

To evaluate 1) whether early nonresponse to antipsychotics predicts nonresponse and nonremission, 2) patient and illness characteristics as outcome predictors, and 3) response prediction of 30-item Positive and Negative Syndrome Scale (PANSS-30) compared with 6-item PANSS (PANSS-6) and Clinical Global Impressions-Improvement Scale (CGI-I) in youths with first-episode psychosis.

METHOD

Post hoc analysis from a 12-week, double-blinded, randomized trial of aripiprazole vs extended-release quetiapine in adolescents (age 12-17 years) with first-episode psychosis was performed. Early nonresponse (week 2 or week 4) was defined as <20% symptom reduction (PANSS-30) (or <20% symptom reduction [PANSS-6] or CGI-I score 4-7 [less than "minimally improved"]). Nonresponse (week 12) was defined as <50% symptom reduction (PANSS-30). Nonremission (week 12) was defined as a score of >3 on 8 selected PANSS-items. Positive/negative predictive values (PPV/NPV) and receiver operating characteristics, binary logistic regression models, and PPV/NPV using PANSS-6 and CGI-I were analyzed.

RESULTS

Of 113 randomized patients, 84 were included in post hoc analysis (mean [SD] age = 15.7 [1.3] years; 28.6% male). The 12-week symptom decrease was 31.9% [27.9%], most pronounced within the first 2 weeks (61.1% of total PANSS reduction). Response (27.4%) and remission (22.6%) rates were low. Results indicated that early nonresponse reliably predicted 12-week nonresponse (PPV: week 2, 82.2%; week 4, 90.0%) and nonremission (PPV: week 2, 80.0%; week 4, 90.0%); early nonresponse at week 4 was a statistically significant baseline predictor for 12-week nonresponse; and PANSS-6 had similar predictive significance as PANSS-30. However, outcomes were heterogeneous using CGI-I.

CONCLUSION

In youths with first-episode psychosis showing early nonresponse to aripiprazole or extended-release quetiapine, switching antipsychotic drug should be considered. PANSS-6 is a feasible and clinically relevant alternative to PANSS-30 to predict 12-week nonresponse/nonremission.

CLINICAL TRIAL REGISTRATION INFORMATION

Tolerance and Effect of Antipsychotics in Children and Adolescents With Psychosis; https://www.

CLINICALTRIALS

gov/; NCT01119014.

Changing the Antipsychotic in Early Nonimprovers to Amisulpride or Olanzapine: Randomized, Double-Blind Trial in Patients With Schizophrenia

BACKGROUND AND HYPOTHESIS

Meta-analyses have shown that the majority of patients with schizophrenia who have not improved after 2 weeks of treatment with an antipsychotic drug are unlikely to fully respond later. We hypothesized that switching to another antipsychotic with a different receptor binding profile is an effective strategy in such a situation.

STUDY DESIGN

In total, 327 inpatients with an acute exacerbation of schizophrenia were randomized to double-blind treatment with either olanzapine (5-20 mg/day) or amisulpride (200-800 mg/day). Those patients who had not reached at least 25% Positive-and-Negative-Syndrome-Scale (PANSS) total score reduction from baseline after 2 weeks (the "non-improvers") were rerandomized double-blind to either staying on the same compound ("stayers") or to switching to the other antipsychotic ("switchers") for another 6 weeks. The primary outcome was the difference in the number of patients in symptomatic remission between the combined "switchers" and the "stayers" after 8 weeks of treatment, analyzed by logistic regression.

STUDY RESULTS

A total of 142 nonimprovers were rerandomized at week two. 25 (45.5 %) of the 'stayers' compared to 41 (68.3 %) of the "switchers" reached remission at endpoint (p = .006). Differences in secondary efficacy outcomes were not significant, except for the PANSS negative subscore and the Clinical-Global-Impression-Scale. "Switchers" and "stayers" did not differ in safety outcomes.

CONCLUSIONS

Switching "non-improvers" from amisulpride to olanzapine or vice-versa increased remission rates and was safe. The superiority in the primary outcome was, however, not paralleled by significant differences in most secondary efficacy outcomes and the effect was only apparent at the last visit making replications of longer duration necessary.

Measurement Based Care in a first episode psychosis program: Development of an algorithm of care based on the Clinical Global Impressions Scale

INTRODUCTION

Adherence to therapeutic guidelines in psychiatry is anchored and facilitated by rating scales. However, they are rarely used in routine care, particularly for psychotic disorders. Consequently, adherence to treatment guidelines are not ideal and patient outcomes are often sub-optimal. In this study, we used the clinician-rated Clinical Global Impressions Scale (CGI) to implement a measurement-based care (MBC) approach and derive indices of quality of care at a first episode psychosis (FEP) program.

METHODS

At the individual level, an algorithm was created using CGI scores and their changes over time to define the concept of Patient Requiring Clinical Attention (PRCA) that encompasses several categories (e.g. episode of severity, treatment inertia, or treatment resistance). At the service level, CGI scores were used to derive several indices of quality of care: severity of illness and its change over time, conformity to the use of low doses of antipsychotic medications, and clozapine offer index.

RESULTS

135 Patients were included in this study of whom 19 patients were identified as PRCA. Of these, 12 (63%) received timely medication, and 7 (37%) were suspected cases of therapeutic inertia. Additionally, 15 patients met criteria for treatment resistance of whom 7 were offered clozapine (47%). At the service level, the average CGI improved by 2 points from baseline to month 1 and average doses of antipsychotic medications prescribed were in line with prescription guidelines for FEP patients.

CONCLUSION

The proposed CGI-based treatment algorithm and service evaluation strategy can help to optimize quality care and services for patients.

Early- and subsequent- response of cognitive functioning in Alzheimer's disease: Individual-participant data from five pivotal randomized clinical trials of donepezil

The association between early improvement and subsequent change in cognition is unexamined in antidementia clinical trials. We aimed to examine the consequences of early-response to antidementia medication in Alzheimer's disease. Participant-level data were analyzed from five pivotal clinical trials of donepezil for Alzheimer's disease lasting up to 24 weeks (N = 1917). Early-response was based on Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) change scores under minus four from baseline to week six, otherwise classified non-response; then subgrouped by donepezil or placebo. The primary analysis tested the group differences in ADAS-Cog change from baseline for the interval after week six up to 24, based on a three-level mixed-effects model repeated measures (MMRM) model. Four models of increasing complexity were tested, and the most parsimonious model was examined in the primary analysis. The remaining models were tested in sensitivity analysis. In the analytic sample, 32.09% (N = 396/1234) of donepezil and 24.01% (N = 164/683) of placebo participants were classified as early responders, and 67.91% donepezil (N = 838/1234), 75.99% (N = 519/683) placebo participants were not. MMRM identified a statistically significant (P < 0.05) responder group effect. Marginal means (MM) demonstrated more improvement for the early responders (donepezil: MM = -4.13, 95% CI = -5.93, -2.32; placebo MM = 1.81, 95% CI = -4.12, 0.50), compared to non-early responders (donepezil MM = 0.05, 95% CI = -1.40, 1.51; placebo MM = 2.59, 95% CI = 0.99, 4.19). Results replicated in sensitivity analysis. Our results inform clinicians regarding the extent and consequences of early improvement in cognitive functioning and potentially contribute to treatment monitoring and the design of clinical trials for Alzheimer's disease.

Early Markers in Resistant Schizophrenia: Effect of the First Antipsychotic Drug

Background: Schizophrenia is a mental illness with a multifactorial etiology and clinical presentation. Treatment is mainly with antipsychotic drugs. Despite the increasing number of antipsychotic drugs, there has been no significant change in the percentage of resistant cases. These data gave us reason to look for a link between the effect of the first individually selected antipsychotic drug and the established resistance to therapy. Method: An assessment has been made of 105 patients with chronic schizophrenia with consecutive psychotic episodes. The choice of antipsychotic has been made on the basis of clinical features, history of efficacy of previously used neuroleptics, anthropometric features, as well as somatic comorbidities. Accidental use of benzodiazepines in anxiety conditions as well as correctors in indications for extrapyramidal problems have been reported. Assessment was made based on clinical observation as well as on changes in PANSS score. Results: Of the 105 observed patients, the effectiveness of the first antipsychotic effect was found in 46.7% of patients. Follow-up of patients for a period of 12 weeks revealed that 45 (42.8%) of them had resistant schizophrenia, while the remaining 60 (57.2%) achieved clinical remission and initial functional recovery. The effect of the first antipsychotic drug was established in 9 (20%) of the patients with resistant schizophrenia and in 40 (66.57%) of the patients in clinical remission. Conclusion: The evaluation of the first antipsychotic medication is significant for the prognosis of patients with schizophrenia. Its lack of effectiveness indicates a high probability of resistance and can be a good indicator of earlier change and a possible search for more “aggressive” measures to prevent future resistance and possible disability.

Prolactin levels influenced by antipsychotic drugs in schizophrenia: A systematic review and network meta-analysis

Prolactin increase is a common side effect in antipsychotic treatment of schizophrenia, which crucially impacts drug choice and treatment compliance. As previous reviews by our group on this topic have included only few Chinese studies, we aimed to compare and rank antipsychotics based on broader evidence. This systematic review pooled data of 92 included studies from previous systematic review by Huhn et al. and 38 newly-added studies from Chinese-database search, including Chinese databases of China National Knowledge Infrastructure (CNKI), WANFANG DATA, WEIPU Journal Net (VIP) and Sino Biomedicine Service System (SinoMed) up to 20 May 2020. We conducted both network meta-analysis (NMA) and pairwise meta-analysis. The primary outcome was prolactin increase (continuous data). We calculated mean differences (MDs) for prolactin level with 95% confidence intervals (CIs) using random-effects model as primary analysis. 130 RCTs with 25,610 participants were included. Newer antipsychotics (risperidone, amisulpride and paliperidone) and older antipsychotics (chlorpromazine, haloperidol and sulpride) increase prolactin levels with large effect sizes. The SMD results were not identical to the MD results because consistency and heterogeneity assumption was tested to be different in calculations. Sensitivity analyses removing two studies with massive baseline imbalance or removing Chinese studies with high risk of bias did not affect the result. In contrast to a previous review clozapine and zotepine were no longer associated with decreased prolactin levels compared to placebo. Risperidone's ranking has more implications supported by CINeMA. This NMA draws the conclusion with larger sample size and extends evidence to more literature in this field.

Antipsychotic-placebo separation on the PANSS-6 subscale as compared to the PANSS-30: a pooled participant-level analysis

In order for measurement-based care to be implemented, there is a need for brief rating instruments that can be administered in a short amount of time, but that are still sufficiently informative. Here, we assessed the drug-placebo sensitivity of the six-item subscale (PANSS-6) of the 30-item Positive and Negative Syndrome Scale (PANSS-30) using a large collection of patient-level data (n = 6685) from randomized controlled trials of risperidone and paliperidone. When analyzing the data by study, we found no material difference in mean effect sizes (ES) between the two measures (PANSS-30 ES = 0.45, PANSS-6 ES = 0.44; p = 0.642). Stratifying the pooled population according to several putative effect moderators (e.g., age, formulation, dose, or diagnosis) generally yielded no meaningful ES differences between the two measures. Similarly, early improvement (≥20% improvement at week 1) on the PANSS-6 predicted subsequent response (≥40% improvement at endpoint) as well as the analog prediction using PANSS-30. Finally, cross-sectional symptom remission assessed via the PANSS-6 showed very good agreement (sensitivity = 100%, specificity = 98%) with cross-sectional symptom remission defined by the Remission in Schizophrenia Working Group.

The role of depression in the prediction of a "late" remission in first-episode psychosis: An analysis of the OPTiMiSE study

OBJECTIVE

The identification of predictors of psychosis remission could guide early clinical decision-making for treatment of first-episode schizophrenia (FES).

METHODS

We analyzed two non-independent subsamples of patients with FES ages 18-40 years from the OPTiMiSE study dataset to investigate the demographic and clinical factors that might help to differentiate "late" remitters (i.e., not in remission at week 2 or 4, but achieving remission within a 10-week follow-up period) from non-remitters within the same period.

RESULTS

Subsample 1 included 216 individuals (55 females, mean age 25.9 years) treated with amisulpride in an open-label design who were not in remission at week 2. Early symptomatic response between baseline and week 2 (odds ratio (OR) = 4.186, 95% confidence interval (CI) = 2.082-8.416, p < 0.001) and older age (OR = 1.081, 95% CI = 1.026-1.138, p = 0.003) were the only variables significantly associated with a higher probability of psychosis remission at week 4. Subsample 2 was composed of the 72 participants (19 females, mean age 25.1 years) who were not in remission at week 4 and completed a 6-week double-blind randomized trial comparing continuation of amisulpride with switch to olanzapine. Depression at baseline (as measured with the Calgary Depression Scale for Schizophrenia) was significantly associated with a nearly 3-fold lower likelihood of psychosis remission during the 10-week follow-up (hazard ratio = 2.865, 95% CI = 1.187-6.916, p = 0.019).

CONCLUSION

Our results reinforce the importance of assessing depressive symptoms in people with FES and support the relevance of an early response (as early as 2 weeks) as a predictor of clinical outcome in this population.

CLINICAL TRIALS REGISTRATION

ClinicalTrials.gov identifier: NCT01248195, https://clinicaltrials.gov/ct2/show/NCT01248195.

Time to Clinical Response in the Treatment of Early Onset Schizophrenia Spectrum Disorders Study

Objectives: We investigated the time course of clinical response in the Treatment of Early Onset Schizophrenia Spectrum Disorders Study (TEOSS). Methods: TEOSS randomized 119 predominantly outpatient youth ages 8-19 years with schizophrenia or schizoaffective disorder to 8 weeks of treatment with molindone, risperidone, or olanzapine. We used proportional hazards regression to determine whether these three antipsychotics differed in the time until clinical response, defined as the time from treatment initiation to the point of achieving a Clinical Global Impressions-Improvement (CGI-I) scale score of 1 ("very much improved") or 2 ("much improved") that was maintained until week 8. Results: Of the 116 youth who initiated treatment, 56 (48%) achieved clinical response. Among clinical responders, the median (±interquartile range) time until clinical response was 4.0 (±4.0) weeks for olanzapine, 4.5 (±4.0) weeks for risperidone, and 6.0 (±4.0) weeks for molindone. There were no significant differences in time course for clinical response between medications (p = 0.84). Youth without symptom improvement (CGI-I ≥ 4) after 3 weeks were more likely to be clinical nonresponders at week 8 (relative risk ratio = 1.98, 95% confidence interval 1.29-3.05), compared with youth with at-least-minimal symptom improvement after 3 weeks when looking at all antipsychotics combined. Conclusion: To our knowledge, our study is the first to investigate medication differences in treatment response timing in early onset schizophrenia spectrum disorders. Clinical response times for molindone, risperidone, and olanzapine were not significantly different. Furthermore, while lack of early improvement predicted clinical nonresponse, whether or not to continue antipsychotic treatment after 3 or more weeks without symptom improvement should be based on clinical judgment after weighing potential risks, benefits, and alternatives. ClinicalTrials.gov Identifier: NCT00053703.

Early Improvement of Psychiatric Symptoms with Long-Acting Injectable Antipsychotic Predicts Subsequent Social Functional Remission in Patients with Schizophrenia

PURPOSE

The aim of this study was to clarify whether early symptomatic improvement in response to a long-acting injectable antipsychotic (LAI) contributes to subsequent social functional remission in patients with schizophrenia using the previous clinical trial data (EudraCT registration number: 2011-004889-15). Associations between other factors and social functional remission were also explored.

PATIENTS AND METHODS

We analyzed 428 patients with schizophrenia in which the personal and social performance scale (PSP) and the involvement evaluation questionnaire (IEQ) at the time of the base line were recorded. Social functional remission was defined as participants who scored PSP >70 at the end of 65 weeks. Logistic regression analyses were done to examine associations between social functional remission and clinical and demographic characteristics including early symptomatic response evaluated by Positive and Negative Syndrome Scale (PANSS) at week one.

RESULTS

One hundred out of 428 patients showed social functional remission at the end of the observation period. Shorter duration of illness, higher baseline score of supervision evaluated by IEQ and higher baseline PSP were significantly associated with the social functional remission. Improvement of positive subscale of PANSS at one week was significantly associated with later social functional remission when baseline PSP scores were excluded from predictive variables.

CONCLUSION

Shorter duration of illness, residual type of schizophrenia, higher baseline score of supervision and higher baseline social functioning were predictors of subsequent social functional remission. Although its effect seems to be limited, early symptomatic improvement could be also was a predictor of social functional remission.

Does Treatment Response With Antidementia Drugs After 6 Months in Alzheimer's Disease Predict Long-term Treatment Outcome?

BACKGROUND

Alzheimer's disease (AD) is a chronic, progressive disorder that causes declines in cognitive and physical functions. This condition places severe burdens on families and caregivers. Delaying progressive declines in cognitive function and reducing their burden are thus important. Relationships between early treatment response and subsequent outcomes of schizophrenia and major depressive disorder have been reported. We thus aimed to investigate the relationships between treatment response to antidementia drugs in AD after 6 months (M) and subsequent outcomes.

METHODS

Eligible individuals comprised 194 patients diagnosed with presumed AD. Of these, 110 patients who received antidementia drugs for the first time and were assessed using the Mini-Mental State Examination (MMSE) at 6 M, 12 M, and 24 M were categorized as responders (n = 84) or nonresponders (n = 26). Responders were defined as showing a change in MMSE after 6 M the same as or lower than that in the natural course according to previously reported data.

RESULTS

No significant differences in baseline characteristics (age, sex, education, or comorbidities) were seen between groups. Mean MMSE score at baseline was significantly lower in responders (18.0) than in nonresponders (20.7; P = 0.008). Mean change from baseline MMSE was significantly smaller in responders than in nonresponders at both 12 M (-0.46 vs -2.5; P = 0.04) and 24 M (-0.78 vs -4.4; P = 0.001).

CONCLUSIONS

Treatment response with antidementia drugs after 6 M predicted better outcomes at 12 M and 24 M. Treatment response should be assessed every 6 M, and treatment should be reconsidered accordingly.

Early prediction of clinical response in first episode schizophrenia (FES) patients receiving olanzapine

Background: At present, schizophrenia guidelines recommend waiting for 8 weeks before considering a patient as non-responder. This study aims to detect the optimal early response threshold that best predict the final outcome of olanzapine.Methods: The study was conducted for 8-week, four points follow up (week 2,3,4, and 8) prospective observational study. A reduction of 20, 25, 30% in Positive and Negative Syndrome Scale (PANSS) score from the base line at week 2,3, and 4 respectively were considered as early response. A reduction of 50% at week 8 was considered as responders. Receiver Operating Characteristics (ROC) curves were performed to detect the optimal threshold.Results: Mean total baseline PANSS score was 106.66(95% CI; 100.4, 112.9). Week 2 (AUC = 50.5%, p > 0.964) and week 3 (AUC = 64.9, p > 0.13) responses failed to predict the 8th week response. Week 4 response (AUC = 92%, p < 0.001) can be taken for the prediction of 8th week response (specificity = 72%, sensitivity = 100%, Positive Predictive Value = 61.1%, Negative Predictive Value = 100% and Optimum Early Response (OER) = 29.4%). 25 patients (69%) achieved more than 50% reduction (responders) in PANSS score after 8 weeks of treatment.Conclusions: Our study suggests that patients with early response at week 4 are likely to achieve positive response after 8 weeks. This may help in appropriate clinical decision making for early non-responders.Key PointsThe early response can forecast the outcome at the endpoint for the treatment of FESA reduction of baseline PANSS score by 30% or more after four weeks are likely to have remission after week 8 with olanzapine therapy.

Quantitative biomarkers to predict response to clozapine treatment using resting EEG data

Clozapine is an anti-psychotic drug that is known to be effective in the treatment of patients with chronic treatment-resistant schizophrenia (TRS-SCZ), commonly estimated to be around one third of all cases. However, clinicians sometimes delay the initiation of this drug because of its adverse side-effects. Therefore, identification of predictive biomarkers of clozapine response is extremely valuable to aid on-time initiation of clozapine treatment. In this study, we develop a machine learning (ML) algorithm based on the pre-treatment electroencephalogram (EEG) data sets to predict response to clozapine treatment in TRS-SCZs, where the treatment outcome, after at least one-year follow-up is determined using the Positive and Negative Syndrome Scale (PANSS). The ML algorithm has two steps: 1) an effective connectivity named symbolic transfer entropy (STE) is applied to resting state EEG waveforms, 2) the ML algorithm is applied to STE matrix to determine whether a set of features can be found to discriminate most responder (MR) SCZ patients from least responder (LR) ones. The findings of this study revealed that the STE features could achieve an accuracy of 89.90%. This finding implies that analysis of pre-treatment EEG could contribute to our ability to distinguish MR from LR SCZs, and that the STE matrix may prove to be a promising tool for the prediction of the clinical response to clozapine.

Symptom remission at 12-weeks strongly predicts long-term recovery from the first episode of psychosis

BACKGROUND

To determine the baseline individual characteristics that predicted symptom recovery and functional recovery at 10-years following the first episode of psychosis.

METHODS

AESOP-10 is a 10-year follow up of an epidemiological, naturalistic population-based cohort of individuals recruited at the time of their first episode of psychosis in two areas in the UK (South East London and Nottingham). Detailed information on demographic, clinical, and social factors was examined to identify which factors predicted symptom and functional remission and recovery over 10-year follow-up. The study included 557 individuals with a first episode psychosis. The main study outcomes were symptom recovery and functional recovery at 10-year follow-up.

RESULTS

At 10 years, 46.2% (n = 140 of 303) of patients achieved symptom recovery and 40.9% (n = 117) achieved functional recovery. The strongest predictor of symptom recovery at 10 years was symptom remission at 12 weeks (adj OR 4.47; CI 2.60-7.67); followed by a diagnosis of depression with psychotic symptoms (adj OR 2.68; CI 1.02-7.05). Symptom remission at 12 weeks was also a strong predictor of functional recovery at 10 years (adj OR 2.75; CI 1.23-6.11), together with being from Nottingham study centre (adj OR 3.23; CI 1.25-8.30) and having a diagnosis of mania (adj OR 8.17; CI 1.61-41.42).

CONCLUSIONS

Symptom remission at 12 weeks is an important predictor of both symptom and functional recovery at 10 years, with implications for illness management. The concepts of clinical and functional recovery overlap but should be considered separately.

Rasch analysis of the PANSS negative subscale and exploration of negative symptom trajectories in first-episode schizophrenia - data from the OPTiMiSE trial

The observed heterogeneity in negative symptom treatment response may be partly attributable to inadequate measurement tools or limitations in methods of analysis. Previous Item Response Theory models of the Positive and Negative Syndrome Scale (PANSS) have only examined samples of chronic patients and with mixed results. We examined the scalability of the negative subscale embedded in the PANSS and subsequently explored negative symptom trajectories across four weeks of amisulpride treatment. Data were derived from the OPTiMiSE trial comprising 446 patients with first-episode schizophrenia or schizophreniform disorder. Using the Rasch Model to examine psychometric properties of the PANSS negative subscale, we found that the composite score across items was not an adequate measure of negative symptom severity. Consequently, we chose an exploratory statistical approach involving Principal Component Analysis which yielded one significant component clustering into two significant symptom trajectories: 1) Subtle but constant decrease in negative symptom severity (N = 323; 72%), and 2) symptom instability across visits (N = 19; 4%). Explorative analytic methods as presented here may pave the way for more efficient and sensitive methods of analyzing negative symptom response in research and in clinical practice.

Plasma monoamines change under dopamine supersensitivity psychosis in patients with schizophrenia: A comparison with first-episode psychosis

BACKGROUND

Patients with first-episode psychosis respond well to initial antipsychotic treatment, but among patients experiencing a relapse of psychosis, the response rate falls to approximately 30%. The mechanism of this discrepancy has not been clarified, but the development of dopamine supersensitivity psychosis with the underlying up-regulation of post-synaptic dopamine D2 receptors could be involved in this lesser response. It is uncertain whether elevated dopamine synthesis and release occurs in patients with dopamine supersensitivity psychosis, in contrast to those with first-episode psychosis.

PATIENTS AND METHODS

We examined a first-episode psychosis group (n=6) and a chronic schizophrenia group, i.e. patients experiencing relapse (n=23) including those who relapsed due to dopamine supersensitivity psychosis (n=18). Following the initiation of treatment, we measured the patients' blood concentrations of homovanillic acid and 3-methoxy-4-hydroxyphenylglycol at two weeks and four weeks after the baseline measurements.

RESULTS

The first-episode psychosis group tended to show decreased homovanillic acid, accompanied by an improvement of symptoms. The chronic schizophrenia group showed no alteration of homovanillic acid or 3-methoxy-4-hydroxyphenylglycol over the treatment period. These results were the same in the dopamine supersensitivity psychosis patients alone.

CONCLUSIONS

Our findings suggest that unlike first-episode psychosis, the release of dopamine from presynaptic neurons did not increase in relapse episodes in the patients with dopamine supersensitivity psychosis. This indirectly indicates that the development of supersensitivity of post-synapse dopamine D2 receptor is involved in relapse in dopamine supersensitivity psychosis patients.

Individualizing antipsychotic treatment selection in schizophrenia: characteristics of empirically derived patient subgroups

Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this may be heterogeneity between patients with schizophrenia. The objectives of this study were to identify patient, disease and treatment attributes that are important for physicians in choosing an antipsychotic drug, and to identify empirically subgroups of patients who may respond differentially to antipsychotic drugs. The survey was conducted by structured interview of 744 randomly-selected psychiatrists in four European countries who recruited 3996 patients with schizophrenia. Information on 39 variables was collected. Multiple component analysis was used to identify dimensions that explained the variance between patients. Three axes, accounting for 99% of the variance, were associated with disease severity (64%), socioeconomic status (27%) and patient autonomy (8%). These dimensions discriminated between six discrete patient subgroups, identified using ascending hierarchical classification analysis. The six subgroups differed regarding educational level, illness severity, autonomy, symptom presentation, addictive behaviors, comorbidities and cardiometabolic risk factors. Subgroup 1 patients had moderately severe physician-rated disease and addictive behaviours (23.2%); Subgroup 2 patients were well-integrated and autonomous with mild to moderate disease (6.7%); Subgroup 3 patients were less well-integrated with mild to moderate disease, living alone (11.2%); Subgroup 4 patients were women with low education levels (5.4%), Subgroup 5 patients were young men with severe disease (36.8%); and Subgroup 6 patients were poorly-integrated with moderately severe disease, needing caregiver support (16.7%). The presence of these subgroups, which require confirmation and extension regarding potentially identifiable biological markers, may help individualizing treatment in patients with schizophrenia.

Psychosocial Intervention With or Without Antipsychotic Medication for First-Episode Psychosis: A Randomized Noninferiority Clinical Trial

This triple-blind (participants, clinicians, and researchers) randomized controlled noninferiority trial examined whether intensive psychosocial intervention (cognitive-behavioral case management, CBCM) for first-episode psychosis (FEP) in 15–25 year-olds managed in a specialized early intervention for psychosis service was noninferior to usual treatment of antipsychotic medication plus CBCM delivered during the first 6 months of treatment. To maximize safety, participants were required to have low levels of suicidality and aggression, a duration of untreated psychosis (DUP) of less than 6 months, and be living in stable accommodation with social support. The primary outcome was level of functioning as assessed by the Social and Occupational Functioning Scale (SOFAS) at 6 months. Ninety young people were randomized by computer, 46 to placebo, and 44 antipsychotic medication and 33% of those who commenced trial medication completed the entire 6-month trial period. On the SOFAS, both groups improved, and group differences were small and clinically trivial, indicating that treatment with placebo medication was no less effective than conventional antipsychotic treatment (mean difference = −0.2, 2-sided 95% confidence interval = −7.5 to 7.0, t = 0.060, P = .95). Within the context of a specialized early intervention service, and with a short DUP, the immediate introduction of antipsychotic medication may not be required for all cases of FEP in order to see functional improvement. However, this finding can only be generalized to a very small proportion of FEP cases at this stage, and a larger trial is required to clarify whether antipsychotic-free treatment can be recommended for specific subgroups of those with FEP.

Trial Registration: ACTRN12607000608460 (www.anzctr.org.au).

A dopaminergic mechanism of antipsychotic drug efficacy, failure, and failure reversal: the role of the dopamine transporter

Antipsychotic drugs are effective interventions in schizophrenia. However, the efficacy of these agents often decreases over time, which leads to treatment failure and symptom recurrence. We report that antipsychotic efficacy in rat models declines in concert with extracellular striatal dopamine levels rather than insufficient dopamine D2 receptor occupancy. Antipsychotic efficacy was associated with a suppression of dopamine transporter activity, which was reversed during failure. Antipsychotic failure coincided with reduced dopamine neuron firing, which was not observed during antipsychotic efficacy. Synaptic field responses in dopamine target areas declined during antipsychotic efficacy and showed potentiation during failure. Antipsychotics blocked synaptic vesicle release during efficacy but enhanced this release during failure. We found that the pharmacological inhibition of the dopamine transporter rescued antipsychotic drug treatment outcomes, supporting the hypothesis that the dopamine transporter is a main target of antipsychotic drugs and predicting that dopamine transporter blockers may be an adjunct treatment to reverse antipsychotic treatment failure.

Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology

These updated guidelines from the British Association for Psychopharmacology replace the original version published in 2011. They address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting was held in 2017, involving experts in schizophrenia and its treatment. They were asked to review key areas and consider the strength of the evidence on the risk-benefit balance of pharmacological interventions and the clinical implications, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. The guidelines cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. It is hoped that the practice recommendations presented will support clinical decision making for practitioners, serve as a source of information for patients and carers, and inform quality improvement.

Switching strategies for antipsychotic monotherapy in schizophrenia: a multi-center cohort study of aripiprazole

RATIONALE

Changing antipsychotics of patients with chronic schizophrenia involves several risks. Switching to aripiprazole is especially difficult. We investigated switching methods and related factors for successful switching patients with chronic schizophrenia to aripiprazole.

OBJECTIVES

This study was a multi-center historical cohort study and approved by the research ethics committee of Okayama University Hospital and Okayama Psychiatric Medical Center. We compared survival proportions of 178 chronic schizophrenia patients who continued aripiprazole monotherapy for 6 months after non-direct switching (add-on switching (n = 45), cross switching (n = 62)) or direct switching (n = 71). We adjusted possible confounders using a Cox proportional hazards model.

RESULTS

Of patients with chronic schizophrenia, 56.7% (101/178) were switched to aripiprazole monotherapy, and 55.0% (98/178) showed improvement in symptoms as demonstrated by the Clinical Global Impression Severity score. Kaplan-Meier survival curves showed that non-direct switching had a higher survival proportion than direct switching (log-rank test, p = 0.012). Even after adjusting for several variables using a Cox proportional hazards model, add-on switching had a significantly lower hazard at 6 months than direct switching (hazard ratio 0.42, 95% confidence interval 0.21-0.82, P = 0.01). In cases of switching to aripiprazole for psychiatric symptoms, non-direct switching had a lower hazard than direct switching (hazard ratio 0.41, 95% confidence interval 0.21-0.81, P = 0.01) but was not significant for adverse reaction. When aripiprazole was switched from olanzapine, add-on switch showed the lowest hazard ratio for continuation (hazard ratio 0.29, 95% confidence interval 0.07-1.11, P = 0.07).

CONCLUSIONS

Flexibility in strategies when switching to aripiprazole may induce a better outcome for patients with chronic schizophrenia.

A systematic review of clinical guidelines on choice, dose, and duration of antipsychotics treatment in first- and multi-episode schizophrenia

Clinical guidelines provide evidence-based recommendations to regulate pharmacological treatment of psychotic disorders. However, the quality of evidence, country of origin, and publication dates of such guidelines vary, which leads to discrepancies between recommendations. This systematic review aimed to examine consensus and disparities between clinical recommendations on the choice, dose, and duration of antipsychotic treatment for first- and multi-episode schizophrenia patients. A literature search through The Cochrane Library, Embase, Medline, PsycINFO, PubMed, Scopus, Web of Sciences, and relevant bibliographies revealed 24 guidelines that met the inclusion criteria. The guidelines indicated mostly consistent recommendations regarding the optimal dose range of antipsychotics, while guidance with regards to the choice and duration of treatment remains somewhat controversial. Current trends in guidelines emphasize that there is simply no 'one-size-fits-all' method to manage schizophrenia patients. Further research is needed not only to address discrepancies between guidelines, but also to justify the gap between theory and practice.

Prediction of Response to Drug Therapy in Psychiatric Disorders

Reprinted with permission from Open Biol. 8: 180031. The Royal Society.

Predictors of remission during acute treatment of first-episode schizophrenia patients involuntarily hospitalized and treated with algorithm-based pharmacotherapy: Secondary analysis of an observational study

AIM

Early clinical response predicts symptomatic remission and recovery in the maintenance treatment phase of first-episode schizophrenia (FES). However, little is known about predictors of symptomatic remission during acute treatment of severely ill patients with FES. Here, we conducted a secondary analysis of our retrospective observational study, which examined response, remission and treatment-resistance rates in seriously ill patients with FES spectrum disorders involuntarily hospitalized and treated with algorithm-based pharmacotherapy.

METHODS

We performed a retrospective chart review of 131 involuntarily admitted patients with schizophrenia or schizoaffective disorder. Our algorithm aimed to delay olanzapine treatment, standardize medications and suggest initiation of clozapine after failure of third-line antipsychotic treatment. The duration of each adequate antipsychotic treatment at an optimal dosage was 4 weeks or more. Remission was defined using the symptom-severity component of consensus remission criteria. A logistic regression model was applied to identify significant predictors of remission at discharge.

RESULTS

Overall, 74 patients (56%) were in remission at discharge. Non-remitters were hampered from becoming remitters mainly by the presence of negative symptoms. There were no differences in first-line antipsychotics, dosage of antipsychotics at time of response and adherence rates to algorithm-based pharmacotherapy between remitters and non-remitters. Shorter duration of untreated psychosis, favourable early response and less negative symptoms at baseline were identified as independent predictors of remission at discharge.

CONCLUSIONS

The importance of early intervention and specific and adequate treatments of negative symptoms is highlighted.

Recycling N-acetylcysteine: A review of evidence for adjunctive therapy in schizophrenia

Introduction

All symptoms in schizophrenia may impact functioning. Although Food and Drug Administration-approved medications typically benefit positive symptoms, negative symptoms are generally refractory to medication interventions. N-acetylcysteine's (NAC) influence on glutamatergic neurotransmission has been established. An emerging body of research has attempted to correlate this action with reduction in symptom severity, evaluating response in positive, negative, and cognitive symptom domains.

Methods

A literature review was performed to analyze available data on NAC intervention and improvement in the positive, negative, and cognitive symptom domains in patients with schizophrenia. Quality of evidence was systematically assessed to determine level of certainty in results.

Results

Three randomized controlled trials were identified. Across studies, negative symptoms decreased more with NAC compared to placebo; ranging between 11.9% and 24.1%. The assessment determined a low level of certainty regarding benefit of NAC on negative and cognitive symptoms and moderate certainty for NAC regarding findings of side effects and lack of benefit on positive symptoms.

Discussion

Consistent reporting of benefit in negative symptoms is found across studies of NAC intervention. These improvements are notable for symptoms that have generally remained refractory to medication intervention. Inconsistent benefit was reported in positive and cognitive symptoms. GRADE (grading of recommendations assessment, development and evaluation) assessment of current evidence indicates a low certainty of benefit for negative symptoms with standard use of NAC in patients with schizophrenia. However, a trial of this low-risk intervention may be warranted in patients with resistant negative symptoms and subsequent impaired functioning despite appropriate antipsychotic therapy as they may experience additional benefit in this symptom domain.

Prediction of response to drug therapy in psychiatric disorders

Personalized medicine has become increasingly relevant to many medical fields, promising more efficient drug therapies and earlier intervention. The development of personalized medicine is coupled with the identification of biomarkers and classification algorithms that help predict the responses of different patients to different drugs. In the last 10 years, the Food and Drug Administration (FDA) has approved several genetically pre-screened drugs labelled as pharmacogenomics in the fields of oncology, pulmonary medicine, gastroenterology, haematology, neurology, rheumatology and even psychiatry. Clinicians have long cautioned that what may appear to be similar patient-reported symptoms may actually arise from different biological causes. With growing populations being diagnosed with different psychiatric conditions, it is critical for scientists and clinicians to develop precision medication tailored to individual conditions. Genome-wide association studies have highlighted the complicated nature of psychiatric disorders such as schizophrenia, bipolar disorder, major depression and autism spectrum disorder. Following these studies, association studies are needed to look for genomic markers of responsiveness to available drugs of individual patients within the population of a specific disorder. In addition to GWAS, the advent of new technologies such as brain imaging, cell reprogramming, sequencing and gene editing has given us the opportunity to look for more biomarkers that characterize a therapeutic response to a drug and to use all these biomarkers for determining treatment options. In this review, we discuss studies that were performed to find biomarkers of responsiveness to different available drugs for four brain disorders: bipolar disorder, schizophrenia, major depression and autism spectrum disorder. We provide recommendations for using an integrated method that will use available techniques for a better prediction of the most suitable drug.

Maximizing response to first-line antipsychotics in schizophrenia: a review focused on finding from meta-analysis

RATIONALE

There are many psychotropic drugs available for treatment of schizophrenia. The clinician's choice of the most effective first-line antipsychotic treatment for patients with schizophrenia should balance considerations of differential efficacy of antipsychotics against the relative risk of different side effects.

METHOD

We reviewed recent studies using meta-analytic techniques and additional studies of new antipsychotics which quantitatively evaluate the efficacy of side effects of first- and second-generation antipsychotics and studies of the efficacy on add-on secondary medications. We present an integrated summary of these results to guide a clinician's decision-making.

RESULTS

Recent meta-analyses have suggested that antipsychotics are not equivalent in efficacy. Clozapine (effect size [SMD] 0.88 vs. placebo), amisulpride (effect size 0.6 vs placebo), olanzapine (effect size 0.59 vs. placebo), and risperidone (effect size 0.56 vs placebo) show small but statistically significant differences compared to a number of other antipsychotics on measures of overall efficacy (effect sizes 0.33-0.50). However, increasing placebo response remains a concern in interpreting these data. Amisulpride (effect size 0.47 vs placebo) and cariprazine (effect size in one trial compared to risperidone 0.29) have the strongest evidence indicating greater efficacy for treating primary negative symptoms relative to other antipsychotics. In terms of side effects, clozapine and olanzapine have among the highest weight gain potential and sertindole and amisulpride have more effects on QTc prolongation than other commonly used antipsychotics. Prolactin elevation is highest with paliperidone, risperidone, and amisulpride. Adjunctive treatment with an antidepressant drug may improve response in patients with schizophrenia who also have severe depressive or negative symptoms. For multi-episode patients with an inadequate response to an adequate dose and duration of the initial antipsychotic choice, switching to another antipsychotic, with a different receptor profile, may improve response, although evidence is very limited. In first-episode patients, a recent study on switching to another antipsychotic, with a different receptor profile after 4 weeks demonstrated no beneficial effects. There is little evidence to support using doses above the therapeutic range other than in exceptional circumstances.

CONCLUSIONS

Our review of recent studies using meta-analytic techniques has provided evidence that all antipsychotics are not equal in the severity of different side effects and in some measures of clinical efficacy. Comparative analysis and rankings from network meta-analyses can provide guidance to clinicians in choosing the most appropriate antipsychotic for first-line treatment, if used in conjunction with available information of the patient's history of previous clinical response or higher risks for specific side effects.

Predictive Factors of Treatment Resistance in First Episode of Psychosis: A Systematic Review

Background: Clinical and functional outcome improvement in psychotic disorders is a challenge for the investigators. Recent advances offered opportunities for ameliorating the course of the illness during its early stages and for identifying treatment-resistant patients. Patients who had not response to two different antipsychotics, administered at correct doses for a sufficient period, can be operationally considered treatment-resistant. Available evidence suggested that the response's trajectory to the antipsychotic treatment revealed that a small proportion of subjects are poor responders (8.2%), the majority of patients have a moderate response (76.4%), and only 15.4% can be considered rapid responders with the greatest magnitude of response. Patients with first episode of psychosis generally obtain a more favorable response profile. Nevertheless, in around 25% of these patients symptoms of psychosis persist with a worse long-term course of illness. Objectives: The aim of this review is to report current evidences on the main predictors of treatment non-response in patients at early stage of psychosis. Methods: We used a specific string that guaranteed a high sensitive search in pubmed. We included the following types of publications: randomized-controlled trials, observational studies, longitudinal studies, retrospective studies, case-control studies, open-label investigations, cohort studies, and reviews. Publications must concern predictors of treatment resistance in early psychosis. Results: Forty-seven records were included: 5 reviews, 3 meta-analyses, 22 longitudinal studies, 2 retrospective studies, 1 naturalistic study, 6 randomized controlled trials, 2 open-label studies, 2 case-control studies, 4 cohort studies, 2 retrospective studies. Several factors were identified as predictors of treatment resistance: lower premorbid functioning; lower level of education; negative symptoms from first psychotic episode; comorbid substance use; younger age at onset; lack of early response; non-adherence to treatment; and longer duration of untreated psychosis. The role of gender and marital status is still controversial. More evidences are needed about neurobiological, genetic, and neuroimaging factors. Conclusions: The identification of specific predictive factors of treatment resistance in patients with first episode of psychosis ameliorates the quality of clinical management of these patients in the critical early phase of schizophrenia.

Should people with psychosis be supported in choosing cognitive therapy as an alternative to antipsychotic medication: A commentary on current evidence

Evidence from randomised controlled trials suggest that both antipsychotic medication and cognitive behaviour therapy (CBT) can be helpful to people with a diagnosis of a schizophrenia spectrum disorder. On this basis, many clinical guidelines recommend that people with psychosis should be offered both antipsychotic medication and CBT and that they should be collaboratively involved in the decisions about which treatment options they choose. The reality of service provision is often very different, with data regarding the availability of such treatment options and the extent of user involvement in decision making suggesting that medication is much more widely available and that service users are often not involved in these decisions, despite retaining decision making capacity. Many patients choose not to take antipsychotic medication, often due to inefficacy or side effects, but there is little evidence regarding whether CBT can be effective as an alternative to antipsychotic medication. However, several recent trials suggest that CBT without medication may be a safe and acceptable option for people with psychosis. The implications for clinical practice and future research are considered and it is recommended that informed choices that include the option to try CBT without antipsychotic medication are supported.

Determinants of treatment response in first-episode psychosis: an 18F-DOPA PET study

Psychotic illnesses show variable responses to treatment. Determining the neurobiology underlying this is important for precision medicine and the development of better treatments. It has been proposed that dopaminergic differences underlie variation in response, with striatal dopamine synthesis capacity (DSC) elevated in responders and unaltered in non-responders. We therefore aimed to test this in a prospective cohort, with a nested case-control comparison. 40 volunteers (26 patients with first-episode psychosis and 14 controls) received an ¹⁸F-DOPA Positron Emission Tomography scan to measure DSC (Ki^cer) prior to antipsychotic treatment. Clinical assessments (Positive and Negative Syndrome Scale, PANSS, and Global Assessment of Functioning, GAF) occurred at baseline and following antipsychotic treatment for a minimum of 4 weeks. Response was defined using improvement in PANSS Total score of >50%. Patients were followed up for at least 6 months, and remission criteria applied. There was a significant effect of group on Ki^cer in associative striatum (F_{(2, 37)} = 7.9, p = 0.001). Ki^cer was significantly higher in responders compared with non-responders (Cohen's d = 1.55, p = 0.01) and controls (Cohen's d = 1.31, p = 0.02). Ki^cer showed significant positive correlations with improvements in PANSS-positive (r = 0.64, p < 0.01), PANSS negative (rho = 0.51, p = 0.01), and PANSS total (rho = 0.63, p < 0.01) ratings and a negative relationship with change in GAF (r = -0.55, p < 0.01). Clinical response is related to baseline striatal dopaminergic function. Differences in dopaminergic function between responders and non-responders are present at first episode of psychosis, consistent with dopaminergic and non-dopaminergic sub-types in psychosis, and potentially indicating a neurochemical basis to stratify psychosis.

Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics

BACKGROUND

The aims of this study were to explore the relationship between early reduction in psychotic symptoms and the ultimate response in patients with schizophrenia treated by atypical antipsychotics, and to determine the best time to switch or maitain the regimen. We also explore the possible predictors for the clinical response.

METHODS

One hundred eleven inpatients with acutely exacerbated schizophrenia were randomized to give optimal therapy of olanzapine, risperidone, and paliperidone in one-week run-in period and 12 weeks' intervention. All participants were assessed using Positive and Negative Syndrome Scale (PANSS). Early Response, defined as reduction of 25% in PANSS score, was examined at weeks 1, 2, 3, 4 and 8, and these ratings were used to predict ultimate response (25% PANSS reduction) at week 12. We hypothesized that early treatment response at Week 1 or 2 could predict Week 12's treatment outcome.

RESULTS

The early treatment response at Week 2 had a greater negative prediction value (NPV, 93.6%) than did the response at Week 1 (NPV, 69.7%), Week 3 (NPV, 91.5%), Week 4 (NPV, 90.7%) and Week 8 (NPV, 87.2%). The positive predictive value became more acceptable (65%) until Week 4. There was no any other potential predictors, including types of antipsychotics medication and treatment dosage, were associated with ultimate response in this study.

CONCLUSION

The treatment non-response at Week 2 optimally predicted the ultimate (Week 12) non-response, in terms of negative predictive value (NPV). These finding suggests that the revision of treatment strategy should be considered t if patients with schizophrenia was not responsive to them after 2 weeks' treatment, and for those who are responders at Week 2, another two weeks are needed to further evaluate whether they will be continuously responsive.

TRIAL REGISTRATION

NCT03730857 at ClinicalTrial.gov . Date of registration: 30/Oct/2018.

The acute efficacy of antipsychotics in schizophrenia: a review of recent meta-analyses

Schizophrenia is the eighth leading cause of disability worldwide in people aged 15-44 years. Before antidopaminergic antipsychotics were introduced in the 1950s, no effective medications existed for the treatment of schizophrenia. This review summarizes key meta-analytic findings regarding antipsychotic efficacy in the acute treatment of schizophrenia, including clozapine in treatment-resistant patients. In the most comprehensive meta-analysis of randomized controlled trials conducted in multi-episode schizophrenia, antipsychotics outperformed placebo regarding total symptoms, positive symptoms, negative symptoms, depressive symptoms, quality of life and social functioning. Amongst these outcomes, the standardized mean difference for overall symptoms was largest, that is, 0.47 (95% credible interval = 0.42-0.51), approaching a medium effect size, being reduced to 0.38 when publication bias and small-trial effects were accounted for. A comparison of two meta-analyses indicated that first-episode patients, compared with multi-episode patients, were more likely to have at least minimal treatment response [⩾20% Positive and Negative Syndrome Scale (PANSS)/Brief Psychiatric Rating Scale (BPRS) score reduction: 81% versus 51%] and good response (⩾50% PANSS/BPRS score reduction: 52% versus 23%). In multi-episode schizophrenia, no response or worsening after 2 weeks of a therapeutic antipsychotic dose was highly predictive of not achieving a good response at endpoint (median treatment = 6 weeks: specificity = 86%; positive predictive value = 90%), suggesting a change in treatment should be considered in such cases. In first-episode psychosis, adequately dosed antipsychotic treatment trials for more than 2 weeks are recommended before using no response or worsening as a decision point for aborting a given antipsychotic. In clearly defined treatment-resistant schizophrenia, clozapine generally outperformed other antipsychotics, especially when dosed appropriately (target = 3-6 months' duration; trough clozapine level ⩾350-400 μg/L) with a response rate (⩾20% PANSS/BPRS) of 33% by 3 months of treatment. High antipsychotic doses and psychotropic combinations are unlikely to be superior to standard doses of antipsychotic monotherapy. Acute antipsychotic efficacy in schizophrenia depends on the targeted symptom domain (greater efficacy: total and positive symptoms, lesser efficacy: negative symptoms, depressive symptoms, social functioning and quality of life). Greater antipsychotic efficacy is associated with higher total baseline symptom severity, treatment-naïveté/first-episode status, shorter illness duration, and trials that are nonindustry sponsored and that have a lower placebo effect. The heterogeneity of antipsychotic response across individuals and key symptom domains, the considerable degree of nonresponse/treatment resistance in multi-episode patients, and the adverse effect potential of antipsychotics are major limitations, underscoring the need to develop new medications for the treatment of schizophrenia. Drug development should include matching patient subgroups, which are identified by means of clinical and biomarker variables, to mechanisms of action of novel medications, targeting specific symptom domains, and investigating mechanisms of action other than dopaminergic blockade.

High-definition transcranial direct current simulation (HD-tDCS) for persistent auditory hallucinations in schizophrenia

Conventional transcranial Direct Current Stimulation (tDCS) has been reported to alleviate persistent auditory hallucinations (AH) in schizophrenia as an add-on intervention. High-Definition tDCS (HD-tDCS), an optimized form of tDCS, has the potential for more focalized neuromodulation. In this study, add-on HD-tDCS (5 days twice daily session with 2-mA cathodal current on left temporo-parietal junction) using 4 × 1 ring montage significantly reduced persistent AH (t = 3.6;p < 0.01) in schizophrenia patients (N = 19). Add-on HD-tDCS has promising potential to treat persisting AH in schizophrenia. This needs further systematic research.

Amisulpride and olanzapine followed by open-label treatment with clozapine in first-episode schizophrenia and schizophreniform disorder (OPTiMiSE): a three-phase switching study

BACKGROUND

No established treatment algorithm exists for patients with schizophrenia. Whether switching antipsychotics or early use of clozapine improves outcome in (first-episode) schizophrenia is unknown.

METHODS

This three-phase study was done in 27 centres, consisting of general hospitals and psychiatric specialty clinics, in 14 European countries and Israel. Patients aged 18-40 years who met criteria of the DSM-IV for schizophrenia, schizophreniform disorder, or schizoaffective disorder were treated for 4 weeks with up to 800 mg/day amisulpride orally in an open-label design (phase 1). Patients who did not meet symptomatic remission criteria at 4 weeks were randomly assigned to continue amisulpride or switch to olanzapine (≤20 mg/day) during a 6-week double-blind phase, with patients and staff masked to treatment allocation (phase 2). Randomisation was done online by a randomisation website; the application implemented stratification by site and sex, and applied the minimisation method for randomisation. Patients who were not in remission at 10 weeks were given clozapine (≤900 mg/day) for an additional 12 weeks in an open-label design (phase 3). The primary outcome was the number of patients who achieved symptomatic remission at the final visits of phases 1, 2, and 3, measured by intention-to-treat analysis. Data were analysed with a generalised linear mixed model, with a logistic link and binomial error distribution. This trial is registered with ClinicalTrials.gov, number NCT01248195, and closed to accrual.

FINDINGS

Between May 26, 2011, and May 15, 2016, we recruited 481 participants who signed informed consent. Of the 446 patients in the intention-to-treat sample, 371 (83%) completed open-label amisulpride treatment, and 250 (56%) achieved remission after phase 1. 93 patients who were not in remission continued to the 6-week double-blind switching trial, with 72 (77%) patients completing the trial (39 on olanzapine and 33 on amisulpride); 15 (45%) patients on amisulpride versus 17 (44%) on olanzapine achieved remission (p=0·87). Of the 40 patients who were not in remission after 10 weeks of treatment, 28 (70%) started on clozapine; 18 (64%) patients completed the 12-week treatment, and five (28%) achieved remission. The number of serious adverse events did not differ between the treatment arms in phase 2: one patient on olanzapine was admitted to hospital because of an epileptic seizure, and one patient on amisulpride was admitted to hospital twice because of exacerbations of psychotic symptoms. Over the course of the trial, two serious suicide attempts were reported.

INTERPRETATION

For most patients in the early stages of schizophrenia, symptomatic remission can be achieved using a simple treatment algorithm comprising the sequential administration of amisulpride and clozapine. Since switching to olanzapine did not improve outcome, clozapine should be used after patients fail a single antipsychotic trial-not until two antipsychotics have been tried, as is the current recommendation.

FUNDING

European Commission Seventh Framework Program.