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Record W3032217143 · doi:10.1093/sleep/zsaa056.554

0557 Possible Contributory and Protective Factors in Medication Associated Obstructive Sleep Apnea (OSA): Results from the US Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS)

2020· article· en· W3032217143 on OpenAlexaff
Madhulika A. Gupta, Branka Vujčić

Bibliographic record

VenueSLEEP · 2020
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineAdverse Event Reporting SystemPharmacovigilanceObstructive sleep apneaOdds ratioAdverse effectInternal medicineDatabase

Abstract

fetched live from OpenAlex

Abstract Introduction There are conflicting opinions regarding the role of medications in OSA. A Vigibase (WHO pharmacovigilance database) study (Linselle M, 2017) has suggested several drug groups in OSA pathogenesis. Sodium oxybate, benzodiazepines and opioids are most consistently associated with OSA. We examined the adverse drug reaction (ADR) of OSA with the ‘primary suspect’ drugs for the ADR, in the US Food and Drug Administration Adverse Events Reporting System (FAERS) database. Methods The FAERS database from January 1, 2004-March 31, 2019 (total ISR =12,330,939) was examined for Individual Safety Reports (ISR) with OSA as ADR and associated ‘primary suspect (PS)’ medications. Reporting odds ratios (ROR) were calculated to assess disproportionality signals with the ‘PS’ drug and OSA versus the ‘PS’ drug associated with all other ADRs in the database. Results 15,316 ISR were associated with OSA [mean±SD age: 49.21 ± 21.76 years (based on 10,311 ISR); 53.78% female (based on 12,274 ISR]. Increased disproportionality signals for OSA were detected with some of the following ‘PS’ drugs/drug groups: sodium oxybate [ROR=31.75, (95% CI 30.36-33.20)]; rofecoxib [ROR=7.85 (95% CI 7.40-8.32)], alendronate [ROR=3.60 (95% CI 3.37-3.84)], zoledronic acid [ROR=24.70 (95% CI 21.88-27.89)], omalizumab [ROR=2.36 (95% CI 2.09-2.68)], quetiapine [ROR=3.78 (95% CI 3.32-4.30), finasteride [ROR=6.03 (95% CI 5.17-7.04), pregabalin [ROR=1.19 (95% CI 1.01-1.41), isotretinoin [ROR=1.49 (95% CI 1.23-1.80)], ondansetron [ROR=3.35 (95% CI 2.77-4.06), olanzapine [ROR=2.64 (95% CI 2.17-3.20), sitagliptin [ROR=3.46 (95% CI 2.82-4.24, digoxin [ROR=2.83 (95% CI 2.24-3.57), benzodiazepines [ROR=1.80 (95% CI 1.33-2.42), and opioids [ROR=1.34 (95% CI 1.09-1.67)]. A decreased disproportionality signal was detected with several biologics including: adalimumab [ROR=0.87 (95% CI 0.79-0.95)], etanercept [ROR=0.55 (95% CI 0.49-0.61)], and infliximab [ROR=0.51 (9% CI 0.40-0.65)]. Conclusion The FAERS data supports many of the earlier findings suggesting the heterogeneity of medications associated with OSA. Biologics (mainly TNF-alpha antagonists) were associated with the previously unreported finding of a decreased OSA risk. Support None.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
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 integrity0.0000.001
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 head0.024
GPT teacher head0.277
Teacher spread0.253 · 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.

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".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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