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Record W2794768733 · doi:10.1093/schbul/sby015.234

O7.5. LONG-TERM SAFETY AND TOLERABILITY OF BREXPIPRAZOLE IN PATIENTS WITH SCHIZOPHRENIA

2018· article· en· W2794768733 on OpenAlexaboutno aff
Mika Hakala, Mette Gislum, Aleksandar Skuban, Stine R. Meehan

Bibliographic record

VenueSchizophrenia Bulletin · 2018
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
Fundersnot available
KeywordsTolerabilityPositive and Negative Syndrome ScalePartial agonistAdjunctive treatmentClinical endpointPlaceboPsychologyMedicineSchizophrenia (object-oriented programming)Adverse effectRelapse preventionClinical Global ImpressionInternal medicineRandomized controlled trialPsychiatryPharmacologyAgonistPsychosisReceptor

Abstract

fetched live from OpenAlex

Long-term maintenance treatment is recommended to control the symptoms of schizophrenia1,2; therefore, safety monitoring for longer than the period required to treat an acute exacerbation is warranted. The aim of the present study (Lighthouse extension; NCT01810783) was to assess the long-term safety and tolerability of open-label treatment with brexpiprazole (flexible dose 1–4 mg/day) in adult patients with schizophrenia. Brexpiprazole is a serotonin-dopamine activity modulator that acts as a partial agonist at the serotonin 5-HT1A and dopamine D2 receptors, and as an antagonist at the 5-HT2A and noradrenaline α1B/2C receptors, all with subnanomolar potency. Brexpiprazole is approved in the US as adjunctive therapy to antidepressants for the treatment of major depressive disorder (MDD) and in the US, Australia and Canada as monotherapy for treatment of schizophrenia. Patients rolled over into this 52-week open-label study from a randomized, double-blind, placebo-controlled, active referenced, Phase 3 study (Lighthouse3; NCT01810380). The primary endpoint was safety and tolerability. Efficacy was assessed as an exploratory endpoint using the Positive and Negative Syndrome Scale (PANSS), Clinical Global Impressions – Severity of illness (CGI-S) and Improvement (CGI-I) scales, and the Personal and Social Performance (PSP) scale. Changes from baseline were analyzed using a mixed model repeated measurements (MMRM) approach. 210 patients were enrolled, and 101 (48.3%) completed the study. The mean and mean modal doses of brexpiprazole were 3.07mg/day and 3.18mg/day, respectively; at last visit, 50% of the patients received 4mg/day. Among patients who took ≥1 dose of brexpiprazole, the incidence of discontinuation due to treatment-emergent adverse events (TEAEs) was 17.2%. TEAEs with an incidence of ≥5.0% were schizophrenia (worsening of the underlying disease; 11.5%), weight increase (10.5%), headache (8.6%), and insomnia (8.1%). Most TEAEs were mild or moderate in severity. The mean increase in body weight from baseline to Week 52 was 2.6kg (observed cases [OC]) and 19.6% of patients had a weight increase ≥7% at any time during the study. There were no clinically relevant findings for either metabolic parameters (lipids and glucose), or for events related to ECGs, vital signs, extrapyramidal symptoms, or prolactin. Patients’ symptoms and functioning showed continual improvement; at Week 52, mean change from baseline in PANSS was -6.8 (95% confidence interval [CI]: -9.3, -4.2); CGI-S: -0.4 (95%CI: -0.5, -0.2); and PSP: 4.2 (95%CI: 2.2, 6.1). The CGI-I score at Week 52 was 2.8 (95%CI: 2.6, 3.1). The percentage of responders (reduction of ≥30% from baseline in PANSS total score or a CGI-I score of 1 [very much improved] or 2 [much improved]) increased throughout the study, from 16% (OC and last observation carried forward [LOCF]) at Week 1 to 48% (OC) and 35% (LOCF) at Week 52. Treatment with open-label brexpiprazole 1–4 mg/day was generally well tolerated for up to 52 weeks in patients with schizophrenia. Further, long-term treatment with brexpiprazole was associated with continued improvement in efficacy measures and functional outcomes. 1. Hasan A et al., World J Biol Psychiatry. 2013;14(1):2‒44. 2. Lehman AF et al., Am J Psychiatry. 2004;161(2 Suppl):1–56. 3. Marder SR et al., Acta Neuropsychiatr. 2016; 16:1–13.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.228
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2018
Admission routes1
Has abstractyes

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