Tonsillectomy ± adenoidectomy (T\&A) is one of the most common surgical operations with over 500,000 pediatric T\&As performed annually in the United States. Unfortunately, despite advances in anesthetic and surgical techniques, moderate-severe post-tonsillectomy pain (PTP) remains a significant problem affecting up to 62% of children. PTP is thought to arise from pharyngeal mucosal inflammation, which produces local nerve irritation and pharyngeal muscle spasm. Patient factors and surgical techniques also play major roles. Race is an important phenotypic risk factor for moderately severe early PTP. The underlying molecular basis of this differential pain experience is presently unknown. This gap in knowledge means that therapies are poorly targeted and often unsuccessful. Indeed, treatment options for PTP have not advanced substantively for many years. Metabolomics provides novel opportunities to investigate common and unique "metabolic signature" of PTP through the analysis of low molecular weight compounds produced in response to tissue injury. Therefore, the central themes of this proposal are that (1) PTP is a complex process that may be determined by molecular level factors such as preoperative systemic inflammation and metabolic profile, and (2) these molecular level factors may explain the excess burden of PTP among minority children. Here the investigators seek to utilize a combined clinical, biological and untargeted metabolomics approach to identify candidate small and large serum molecules that may influence the frequency and severity of PTP in children across racial groups. This approach to exploring the molecular basis of PTP is novel and knowledge from the study should substantially enhance understanding of the mechanisms underlying pediatric PTP - and narrow the racial disparities in post-operative pain.
Age range
4 Years – 17 Years
Sex
ALL
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Mean fold-change of metabolomics markers by race using untargeted reverse-phase liquid-chromatographic mass spectrometry
Timeframe: Immediately prior to surgery start and immediately post-op
Highest pain score
Timeframe: Immediately after waking up from surgery
Last pain score
Timeframe: Immediately prior to discharge