9th Kauai Pain Conference (2023) - Poster Hall - Neurovations

Quantitative Sensory Testing Does Not Predict Chronic Pain Syndromes: Large Study from TwinsUK



Synopsis

Unlike in neuropathic and nociceptive pain, literature on the validity of quantitative sensory testing (QST) in nociplastic pain is inconclusive. We examined whether diagnoses of chronic pain syndromes (CPS) were associated with QST modalities in a large, population study of 3,033 participants. CPS have been described as primarily nociplastic and, in our sample, included chronic widespread pain, irritable bowel syndrome, dry eye disease, and migraine. Mann-Whitney U tests revealed no differences in QST test scores between cases and controls across ten different QST modalities. The inability of QST to discriminate between cases and controls calls for caution in its use in assigning diagnostic categories and prognosis in primarily nociplastic pain.

Disclosures

Nothing to Disclose by any Author


Author(s):
  • Amber Rhee, Master of Health Science Candidate, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health; Department of Twin Research and Genetic Epidemiology, King's College London
  • Isabelle Granville Smith, Research Project Coordinator, Department of Twin Research and Genetic Epidemiology, King's College London
  • Roger Compte, Marie Curie Early Stage Researcher, Department of Twin Research and Genetic Epidemiology, King's College London
  • Jelle Vehof, Ophthalmologist, Clinical Lecturer, Departments of Ophthalmology and Epidemiology, University of Groningen, University Medical Cent
  • Ayrun Nessa, Clinical Operations Manager, Department of Twin Research and Genetic Epidemiology, King's College London
  • Samuel Wadge, Senior Technician, Department of Twin Research and Genetic Epidemiology, King's College London
  • Maxim Freidin, Senior Lecturer, Department of Twin Research and Genetic Epidemiology, King's College London; Department of Bio
  • Frances Williams, Professor of Genomic Epidemiology, Department of Twin Research and Genetic Epidemiology, King's College London


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