Title: Genetic risk signatures of opioid-induced respiratory depression following pediatric tonsillectomy.

Authors: Biesiada, Jacek; Chidambaran, Vidya; Wagner, Michael; Zhang, Xue; Martin, Lisa J; Meller, Jaroslaw; Sadhasivam, Senthilkumar

Published In Pharmacogenomics, (2014 Nov)

Abstract: Background: Respiratory depression is a clinically and economically important but preventable complication of opioids. Genetic factors can help identify patients with high risk for respiratory depression. Methods: In this prospective genotype blinded clinical study, we evaluated the effect of a panel of variants in candidate genes on opioid-related respiratory depression in 347 children following tonsillectomy. Results: Using unsupervised hierarchical clustering and a combination of candidate genotypes and clinical variables, we identified several distinct clusters of patients at high risk (36-38%) and low risk (10-17%) of respiratory depression; the relative risk of respiratory depression for high versus low risk clusters was 2.1-3.8 (p = 0.003). Conclusion: Genetic risk predictions (genetic signatures) along with clinical risk factors effectively identify children at higher and lower risks of opioid-induced respiratory depression. Genetic signatures of respiratory depression offer strategies for improved clinical decision support to guide clinicians to balance the risks of opioid adverse effects with analgesia. Original submitted 9 July 2014; Revision submitted 19 September 2014.

PubMed ID: 25493568

MeSH Terms: No MeSH terms associated with this publication