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Characteristics of Real-world Commercially Insured Patients With Treatment-resistant Depression Initiated on Esketamine Nasal Spray or Conventional Therapies in the United States

2022· article· en· W4301370539 on OpenAlexaff
Swapna Karkare, Maryia Zhdanava, Dominic Pilon, Abigail I. Nash, Laura Morrison, Aditi Shah, Patrick Lefèbvre, Kruti Joshi

Bibliographic record

VenueClinical Therapeutics · 2022
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsGroup for Research in Decision Analysis
FundersJanssen Scientific Affairs
KeywordsMedicineTreatment-resistant depressionMajor depressive disorderDepression (economics)Electroconvulsive therapyAntidepressantCohortInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: This study aimed to characterize patients with treatment-resistant depression (TRD) initiating esketamine or conventional therapies. METHODS: Adults with major depressive disorder (MDD) were selected from the IBM MarketScan Databases. A claims-based algorithm identified patients with evidence of TRD, defined as initiation of a new antidepressant therapy after 2 different antidepressant trials of adequate dose and duration during the most recent major depressive episode. Patients receiving treatment on/after March 5, 2019 (esketamine approval date for TRD), were classified to the esketamine cohort if they newly initiated esketamine (index date) or to the TRD conventional therapies cohorts if they newly initiated electroconvulsive therapy (ECT), transcranial magnetic stimulation (TMS), or pharmacologic therapies (index date was the therapy initiation date, prioritizing ECT, then TMS, then pharmacologic antidepressant therapies). Patient characteristics in the 6 months before therapy initiation were described. FINDINGS: The esketamine cohort included 246 patients (mean age, 46.5 years; 63.0% female), and the TRD conventional therapies cohorts included 104,164 patients (mean age, 46.9 years; 74.8% female; 0.4% initiated ECT, 1.2% initiated TMS). During the 6 months preindex, in the esketamine and TRD conventional therapies cohorts, 77.6% and 41.4% received psychotherapy and 82.9% and 34.2% had a psychiatrist visit, respectively. Most patients had outpatient care for MDD in the esketamine (91.9%) and TRD conventional therapies (63.6%) cohorts; 57.3% and 21.0% received care at specialized mental health care settings. MDD was classified as "severe" among 81.3% and 35.1% of patients in the esketamine and TRD conventional therapies cohorts . Preindex mental health-related (MHR) inpatient admissions and emergency department visits were identified in 12.2% and 16.3% of the esketamine cohort and in 8.2% and 10.3% of the TRD conventional therapies cohort. Before therapy initiation, 34.6% and 17.6% of the esketamine and TRD conventional therapies cohorts received ≥3 unique antidepressants. Suicidal ideation or behavior was observed in 8.5% and 3.6% of the esketamine and TRD conventional therapies cohorts pretherapy initiation. Mean monthly all-cause health care costs in the esketamine cohort were $2532 (58.2% MHR); in the TRD conventional therapies cohorts, costs were $1873 (32.4% MHR). IMPLICATIONS: Among patients with TRD, those initiating esketamine relative to conventional therapies displayed higher MDD severity, used more MHR inpatient/emergency department services and antidepressant treatments, and incurred higher health care costs 6 months pretherapy initiation. These findings suggest potential benefits of identifying and treating patients with TRD earlier with more effective treatments and should inform payers in consideration of esketamine coverage.

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)0.001
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 score0.015
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.132
GPT teacher head0.393
Teacher spread0.261 · 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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Citations16
Published2022
Admission routes1
Has abstractyes

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