Loading…
Pharmacogenetic Guided Opioid Therapy Improves Chronic Pain Outcomes and Comorbid Mental Health: A Randomized, Double-Blind, Controlled Study
Interindividual variability in analgesic response is at least partly due to well-characterized polymorphisms that are associated with opioid dosing and adverse outcomes. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has put forward recommendations for the phenotype, but the list of...
Saved in:
Published in: | International journal of molecular sciences 2023-06, Vol.24 (13), p.10754 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Interindividual variability in analgesic response is at least partly due to well-characterized polymorphisms that are associated with opioid dosing and adverse outcomes. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has put forward recommendations for the
phenotype, but the list of studied drug-gene pairs continues to grow. This clinical trial randomized chronic pain patients (
= 60), referred from primary care to pain unit care into two opioid prescribing arms, one guided by
, μ-opioid receptor (
), and catechol-O-methyl transferase (
) genotypes vs. one with clinical routine. The genotype-guided treatment reduced pain intensity (76 vs. 59 mm,
< 0.01) by improving pain relief (28 vs. 48 mm,
< 0.05), increased quality of life (43 vs. 56 mm
< 0.001), and lowered the incidence of clinically relevant adverse events (3 [1-5] vs. 1 [0-2],
< 0.01) and 42% opioid dose (35 [22-61] vs. 60 [40-80] mg/day,
< 0.05) as opposed to usual prescribing arm. The final health utility score was significantly higher (0.71 [0.58-0.82] vs. 0.51 [0.13-0.67] controls,
< 0.05) by improving sleepiness and depression comorbidity, with a significant reduction of 30-34% for headache, dry mouth, nervousness, and constipation. A large-scale implementation analysis could help clinical translation, together with a pharmaco-economic evaluation. |
---|---|
ISSN: | 1422-0067 1661-6596 1422-0067 |
DOI: | 10.3390/ijms241310754 |