Journal of clinical anesthesia
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Childhood and adolescent obesity increased in recent decades, and caregivers face an increasing number of obese pediatric surgical patients. Some clinical and pharmacogenetic data suggest that obese patients have altered pain sensitivity and analgesic requirements. ⋯ We found no clinically important increase in pain scores or opioid consumption in association with higher BMI in patients 8 to 18 years of age recovering from elective non-cardiac surgery.
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To employ systems biology-based machine learning to identify biologic processes over-represented with genetic variants (gene enrichment) implicated in post-surgical pain. ⋯ High interindividual variability in pain responses immediately after surgery and risk for CPSP suggests genetic susceptibility. Lack of large homogenous sample sizes have led to underpowered genetic association studies. Systems biology can be leveraged to integrate genetic-level data with biologic processes to generate prioritized candidate gene lists and understand novel biological pathways involved in acute postoperative pain and CPSP. Such data would be key to informing future polygenic studies with targeted genome wide profiling. This study demonstrates the utility of functional annotation - based prioritization and enrichment approaches and identifies novel genes and unique/shared biological processes involved in acute and chronic postoperative pain. Results provide framework for future targeted genetic profiling of CPSP risk, to enable preventive and therapeutic approaches.