Clinical Validation of a Multi-Biomarker Assay for the Evaluation of Chronic Pain Patients in a Cross-Sectional, Observational Study

Autor: Kasra Amirdelfan, Jason E. Pope, Joshua Gunn, Melissa M. Hill, Bradley M. Cotten, John E. Beresh, Douglas Dobecki, Nathan Miller, Pankaj Mehta, George Girardi, Timothy R. Deer
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Pain and Therapy, Vol 9, Iss 2, Pp 511-529 (2020)
Druh dokumentu: article
ISSN: 2193-8237
2193-651X
DOI: 10.1007/s40122-020-00175-3
Popis: Abstract Introduction Chronic pain assessment and post-treatment evaluation continues to be challenging due to a lack of validated, objective tools to measure patient outcomes. Validation of mechanistic pain biomarkers would allow clinicians to objectively identify abnormal biochemistry contributing to painful symptoms. Methods We describe the clinical validation of a multi-biomarker assay with algorithmic analysis known as the Foundation Pain Index (FPI) in diverse cohorts of chronic pain patients in a prospective, cross-sectional, observational validation study. Levels of 11 urinary pain biomarkers were measured and tabulated using a proprietary algorithm to generate FPI scores for chronic pain subjects (N = 153) and age- and sex-matched pain-free controls (N = 334). Results FPI scores were significantly correlated with the 36-Item Short Form Health Survey (SF-36) scores among chronic pain subjects (P value
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