Abstract

In a recent issue of Arthritis Research & Therapy, Chandra and colleagues described the use of multiple multiplex immunoassays and complex computer algorithms to investigate the possibility of improved laboratory diagnosis and novel classification of rheumatoid arthritis on the basis of biomarkers. Such complex predictive tools in rheumatology can be guided by the experience of multiplex testing in oncology, which has demonstrated the importance of uniform specimen handling and prospectively collected specimen repositories. Although there are high expectations for these complex approaches, they require careful evaluation.

Highlights

  • In a recent issue of Arthritis Research & Therapy, Chandra and colleagues described the use of multiple multiplex immunoassays and complex computer algorithms to investigate the possibility of improved laboratory diagnosis and novel classification of rheumatoid arthritis on the basis of biomarkers

  • One important message is that differences in the ‘pre-analytical’ phase of testing can cause differences in laboratory test results, which may be magnified and masked by complex computations, and lead to incorrect conclusions

  • Over 1,100 rheumatoid arthritis (RA) sera were used to compare the analytical performance of novel and conventional immunoassays for rheumatoid factor and Creactive protein, and precision data were provided for 4 biomarkers

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Summary

Introduction

In a recent issue of Arthritis Research & Therapy, Chandra and colleagues described the use of multiple multiplex immunoassays and complex computer algorithms to investigate the possibility of improved laboratory diagnosis and novel classification of rheumatoid arthritis on the basis of biomarkers. Diagnostic algorithms using multiple biomarkers and complex multivariate data analysis have been investigated the most in oncology. 2. The clinical performance (clinical sensitivity and specificity) of each analyte within the multiplex should be comparable to that of assays for individual analytes.

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