Personalized Pain Management: Predicting Chronic Pain Post-Mastectomy
This invention uses genetic and non-genetic factors to predict the risk of chronic pain in women who have undergone a mastectomy. This personalized approach aims to tailor peri-operative care based on an individual's unique genetic background and predictive non-genetic factors, revolutionizing pain management.
Description
This invention is a genome-wide screen for the association of SNP markers with inter-individual variability in pain following mastectomy will provide with a set of human polymorphic genes/markers that contribute to the trait independently and/or through interaction. Psychosocial and psychophysical profiling will identify a unique signature that may predict pain chronicity, intensity and/or quality in post mastectomy women. This data will help to personalize pain management in the future by tailoring peri-operative care according to individual genetic background and predictive non-genetic factors.Applications
- Personalized pain management plans for patients.- Pre-operative risk assessment for chronic pain in women undergoing mastectomy.
- Development of new pain management pharmaceuticals targeted at specific genetic markers.
- Advanced diagnostic tools for pain clinics.
Advantages
- First-ever genome-wide association study on human post-mastectomy pain.- First comprehensive study of PMPS (post-mastectomy pain syndromes) using validated assessment tools.
- Provides a unique "signature" for predicting chronic pain.
- Personalizes pain management by tailoring care to an individual's genetic and non-genetic profile.
- Uses quantitative sensory testing on breast cancer survivors.