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Published in: Molecular Pain 1/2009

Open Access 01-12-2009 | Research

Ethnicity and OPRM variant independently predict pain perception and patient-controlled analgesia usage for post-operative pain

Authors: Ene-choo Tan, Eileen CP Lim, Yik-ying Teo, Yvonne Lim, Hai-yang Law, Alex T Sia

Published in: Molecular Pain | Issue 1/2009

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Abstract

Background

Morphine consumption can vary widely between individuals even for identical surgical procedures. As mu-opioid receptor (OPRM1) is known to modulate pain perception and mediate the analgesic effects of opioid compounds in the central nervous system, we examined the influence of two OPRM polymorphisms on acute post-operative pain and morphine usage in women undergoing elective caesarean delivery.

Results

Data on self-reported pain scores and amount of total morphine use according to patient-controlled analgesia were collected from 994 women from the three main ethnic groups in Singapore. We found statistically significant association of the OPRM 118A>G with self-administered morphine during the first 24-hour postoperative period both in terms of total morphine (p = 1.7 × 10-5) and weight-adjusted morphine (p = 6.6 × 10-5). There was also significant association of this OPRM variant and time-averaged self-rated pain scores (p = 0.024). OPRM 118G homozygotes used more morphine and reported higher pain scores than 118A carriers. Other factors which influenced pain score and morphine usage include ethnicity, age and paying class.

Conclusion

Our results suggest that ethnicity and OPRM 118A>G genotype are independent and significant contributors to variation in pain perception and postoperative morphine use in patients undergoing cesarean delivery.
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Metadata
Title
Ethnicity and OPRM variant independently predict pain perception and patient-controlled analgesia usage for post-operative pain
Authors
Ene-choo Tan
Eileen CP Lim
Yik-ying Teo
Yvonne Lim
Hai-yang Law
Alex T Sia
Publication date
01-12-2009
Publisher
BioMed Central
Published in
Molecular Pain / Issue 1/2009
Electronic ISSN: 1744-8069
DOI
https://doi.org/10.1186/1744-8069-5-32

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