| Title: | Investigating Genetic and Clinical Variables Associated with Post-Surgical Chronic Pain Risk Utilizing the UK Biobank Dataset |
| Lead Institution: | Bar Ilan University |
| Principal investigator: |
Application 164591
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About
Our research project aims to elucidate the complex factors contributing to post-surgical chronic pain. Chronic pain following surgery is a prevalent and debilitating issue, significantly impacting patient quality of life and healthcare resources. This study leverages the rich dataset provided by the UK Biobank, which encompasses genetic and clinical information of participants who have undergone surgical procedures. We seek to achieve several objectives: 1. Genetic Insights: Our investigation will delve into the genetic underpinnings of post-surgical chronic pain, endeavoring to identify specific genetic variants associated with this condition. Understanding the genetic basis of pain perception is integral to personalizing pain management strategies effectively. 2. Clinical Correlations: We will rigorously analyze clinical factors, including patient demographics and surgical particulars, to evaluate their role in post-surgical chronic pain risk. 3. Predictive Models: Our study will also involve the development of predictive models. These models, informed by genetic and clinical data, aim to estimate individual risk for post-surgical chronic pain, contributing to more personalized and effective healthcare strategies. This will provide a comprehensive understanding of the interplay between genetics and clinical variables. The project's scientific rationale is rooted in the pressing need to address post-surgical chronic pain comprehensively. While various risk factors for this condition are known, the contribution of genetics remains less explored. Our study recognizes the pivotal role of genetics in influencing pain sensitivity and, consequently, the efficacy of pain management. Moreover, the availability of the UK Biobank dataset, with its vast and diverse information on surgical patients, provides an exceptional opportunity for this in-depth investigation. Duration and Ethical Considerations: Our research will be conducted over a two-year period, ensuring rigorous adherence to ethical standards and data privacy regulations. We are committed to safeguarding the privacy and anonymity of all participants in the UK Biobank dataset. Public Health Impact: The potential implications of our research are profound. By elucidating the genetic and clinical factors contributing to post-surgical chronic pain, we can significantly improve patient care and the management of pain after surgery. These findings may influence pre-surgical counseling, pain management strategies, and healthcare policies, ultimately benefiting a wide spectrum of the population and promoting evidence-based, patient-centric healthcare practices.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21046 | Genome-Wide Association, Polygenic Risk Scores, and Machine Learning for Chronic Post-Surgical Pain Risk Stratification: A UK Biobank Study | Alexander Peres (+3) | 2026 | Journal of Pain |
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