EMR Machine Learning & Validation of Genetic Associations & Postoperative Pain & Opioid Outcomes in Children Undergoing Tonsillectomy
PrincipaI Investigator: Senthilkumar Sadhasivam, MD, MPH
Key Personnel: Keith Marsolo, PhD, Lisa Martin, PhD, Cynthia Prows, MSN, APRN, CNS
In the United States, ~6 million children undergo painful surgery each year. While opioids are the preferred pain relievers, they have been associated with serious adverse effects, including death, due to respiratory problems in children. Further, up to 50% of these children don’t have adequate pain relief. Serious adverse effects can be caused by a change in the child’s genetic information. These major public health problems are preventable. In previous research, we have identified novel genetic factors that significantly influence surgical pain in children and their risk for life-threatening complications. The objectives of this research proposal are:
1. To determine agreement between postoperative outcome data collected at Cincinnati Children's and postoperative outcomes from real-time prospective clinical research.
2. To more effectively and efficiently identify genetic changes that may underlie unfavorable outcomes following surgery in children.
The proposed research has significant public health relevance because it will accelerate our clinical use of genetic risk factors that influence surgical pain and toxicity. This study’s contribution will be significant because it is expected to cost-effectively and time efficiently accelerate our innovation. We aim to integrate preoperative genetic factors based decision tool to improve the clinician’s ability to personalize the use of opioids to maximize pain relief while minimizing adverse effects with the right dose of the right pain reliever for each child.