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Record W4408977411 · doi:10.1093/ijnp/pyaf020

Lurasidone response in bipolar type I depression with childhood trauma exposure

2025· article· en· W4408977411 on OpenAlexaff
Hernán F Guillen-Burgos, Juan F. Gálvez‐Flórez, Sergio Moreno, Roger S. McIntyre

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLurasidoneBipolar disorderDepression (economics)MedicineClinical Global ImpressionInternal medicinePsychiatryLithium (medication)Schizophrenia (object-oriented programming)AntipsychoticPathology

Abstract

fetched live from OpenAlex

IMPORTANCE: Childhood trauma (CT) worse the course of bipolar disorder (BD) and negatively impacts treatment outcomes. Despite the recognized influence of CT on clinical trajectories, limited evidence exists on how it affects specific pharmacological responses in BD. OBJECTIVE: This study aimed to investigate the effectiveness of lurasidone in BD type I depression, with a focus on how CT exposure impacts treatment response and remission. DESIGN: A multisite, observational, prospective, comparative effectiveness study over an 8-week period was conducted. SETTING: A multisite in 4 clinical research sites in Colombia. PARTICIPANTS: A total of 84 adults with BD type I depression were enrolled (lurasidone = 41, lurasidone with lithium = 43). INTERVENTION: Over an 8-week period, 41 participants were assigned to the lurasidone arm and 43 to the lurasidone plus lithium arm. EXPOSURE: Childhood trauma exposure was measured with the Childhood Trauma Questionnaire-Short Form. BD with CT (n = 40) and BD without CT (n = 44) were included. MAIN OUTCOME AND MEASURES: The primary outcome was changes in Montgomery-Åsberg Depression Rating Scale (MADRS) scores. Secondary outcomes included changes in Clinical Global Impression-Bipolar depression severity scores and responder rates. RESULTS: Bipolar disorder with CT exposure demonstrated a smaller mean reduction in MADRS scores compared to those without CT exposure for both treatments (monotherapy: Least Square (LS) -3.4, 95% CI, -6.03 to -0.76, P = .013; combination therapy: LS -3.1, 95% CI, -5.36 to -0.63, P = .014). The presence of CT exposure, particularly physical abuse (PA), was associated with poorer response rates. Notably, lurasidone in combination with lithium showed superior outcomes compared to monotherapy, although effectiveness was attenuated in participants with documented CT exposure. CONCLUSIONS: This study provides real-world evidence suggesting that CT exposure may modify treatment response in BD type I depression. Our findings underscore the importance of CT screening to guide personalized treatment strategies. RELEVANCE: This study provides evidence that CT, particularly PA, attenuates the antidepressant effects of lurasidone in BD type I depression, leading to lower response and remission rates in both monotherapy and combination therapy with lithium. These findings underscore the clinical importance of screening for CT in BD to guide personalized treatment strategies. Identifying trauma history may help clinicians optimize treatment selection, considering the potential need for combination pharmacotherapy and adjunctive trauma-focused psychotherapeutic interventions to improve outcomes in this vulnerable population.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.318
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), 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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Citations1
Published2025
Admission routes1
Has abstractyes

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