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Record W3209772594 · doi:10.1093/pch/pxab061.102

127 Impact of CYP2D6, CYP3A4, and CYP2C9 pharmacogenomic profile on pain relief and adverse events in Canadian children treated with oxycodone and ibuprofen

2021· article· en· W3209772594 on OpenAlexaffabout
Aran Yukseloglu, Samina Ali, Amy L. Drendel, Bruce Carleton, Colin J.D. Ross, Sylvie Le May, Robin Manaloor, Rhonda J. Rosychuk, David W. Johnson

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsAlberta Children's HospitalUniversity of British ColumbiaUniversity of CalgaryUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsOxycodoneMedicineIbuprofenCYP2D6Adverse effectAnalgesicPharmacogenomicsCYP2C9AnesthesiaInternal medicinePharmacologyOpioid

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Clinical Pharmacology and Toxicology Background Genomic variation impacts drug pharmacokinetics for commonly used children’s pain medications such as oxycodone and ibuprofen. In order to personalize and best treat children’s pain, how cytochrome enzyme polymorphisms for CYP2D6, CYP3A4, and CYP2C9 impact clinical effectiveness and safety for oxycodone and ibuprofen were studied. Objectives Primary objectives were to evaluate if allelic variations of CYP2D6, CYP2C9, and CYP3A4 would a) alter clinical effectiveness of ibuprofen and oxycodone for pain relief, and b) impact the occurrence of adverse events. Secondary objectives were to determine the degree to which these genetic and other clinical factors influence analgesic effectiveness and safety. Design/Methods This prospective, observational cohort included children aged 4-16 years who were seen in a pediatric emergency department (between June 2010 - July 2014) with an acute fracture and used ibuprofen OR oxycodone for at-home pain management. Saliva samples were obtained prior to discharge, and daily telephone follow-up collected self-reported pain scores, medication use, adverse events, and functional limitations for 3 days. Genotyping identified allelic variants of CYP2D6, CYP3A4, and CYP2C9. Pain was measured using the Faces Pain Scale-Revised. CYP2D6 metabolic phenotypes were determined based on identified variants. Regression analyses were employed to determine relationships between clinical and genomic patient characteristics, pain relief, and adverse events. Results We included 210 children (n=140 ibuprofen, n=70 oxycodone); mean age was 11.1 (±3.5) years, 66.2% were male, and 79.5% self-identified as Caucasian. The median pain reduction in the ibuprofen group was 4 (±2.0) and 4 (±3.5) in the oxycodone group on Day 1 (p = 0.69). Adverse events were experienced by 53.2% of the ibuprofen group and 78.3% of the oxycodone group (p < 0.001). CYP2D6 Intermediate Metabolizers had significantly less pain relief using oxycodone than Extensive Metabolizers (p = 0.04). CYP3A4 variants did not significantly impact pain relief or adverse events. Those with the decreased functioning CYP2C9*2 allele experienced less adverse events compared to the normal functioning allele CYP2C9*1 (p = 0.003) when using ibuprofen. Males (p = 0.035) and all children using non-pharmacological pain strategies (p = 0.02) experienced less pain relief with oxycodone. Conclusion A better understanding of pharmacogenomic variation could help personalize medication choice. Sex and non-pharmacologic pain management impact pain relief with oxycodone, warranting further study to better understand their relationship with opioid pain relief in children.

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)0.002
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 score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.362
Teacher spread0.335 · 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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Citations0
Published2021
Admission routes2
Has abstractyes

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