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Arthritis Research & Therapy
Published in: Arthritis Research & Therapy 1/2017

Open Access 01-12-2017 | Research article

A novel scoring system based on common laboratory tests predicts the efficacy of TNF-inhibitor and IL-6 targeted therapy in patients with rheumatoid arthritis: a retrospective, multicenter observational study

Authors: Jin Nakagawa, Yoshinobu Koyama, Atsushi Kawakami, Yukitaka Ueki, Hiroshi Tsukamoto, Takahiko Horiuchi, Shuji Nagano, Ayumi Uchino, Toshiyuki Ota, Mitsuteru Akahoshi, Koichi Akashi

Published in: Arthritis Research & Therapy | Issue 1/2017

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Abstract

Background

Currently, although several categories of biological disease-modifying antirheumatic drugs (bDMARDs) are available, there are few data informing selection of initial treatment for individual patients with rheumatoid arthritis (RA). Therefore, tumor necrosis factor inhibitor (TNF-i) and tocilizumab (TCZ) are treated as equivalent treatments in the recent disease management recommendations. We focused on two anticytokine therapies, TCZ and TNF-i, and aimed to develop a scoring system that predicts a better treatment for each RA patient before starting an IL-6 or a TNF-i.

Methods

The expression of IL-6 and TNF-α mRNA in peripheral blood from 45 newly diagnosed RA patients was measured by DNA microarrays to evaluate cytokine activation. Next, laboratory indices immediately before commencing treatment and disease activity score improvement ratio after 6 months in 98 patients treated with TCZ or TNF-i were retrospectively analyzed. Some indices correlated with TCZ efficacy were selected and their cutoff values were defined by receiver operating characteristic (ROC) analysis to develop a scoring system to discriminate between individuals more likely to respond to TCZ or TNF-i. The validity of the scoring system was verified in these 98 patients and an additional 228 patients.

Results

There was significant inverse correlation between the expression of IL-6 and TNF-α mRNA in newly diagnosed RA patients. The analysis of 98 patients revealed significant correlation between TCZ efficacy and platelet counts, hemoglobin, aspartate aminotransferase, and alanine aminotransferase; in contrast, there was no similar correlation in the TNF-i group. The cutoff values were defined by ROC analysis to develop a scoring system (1 point/item, maximum of 4 points). A good TCZ response was predicted if the score was ≥2; in contrast, TNF-i seemed to be preferable if the score was ≤1. Similar results were obtained in a validation study of an additional 228 patients. If the case scored ≥3, the good responder rates of TCZ/TNF-i were 75.0%/37.9% (p < 0.01) and the non-responder rates were 3.1%/27.6% (p < 0.01), respectively.

Conclusions

The score is easily calculated from common laboratory results. It appears useful for identifying a better treatment at the time of selecting either an IL-6 or a TNF inhibitor.
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Metadata
Title
A novel scoring system based on common laboratory tests predicts the efficacy of TNF-inhibitor and IL-6 targeted therapy in patients with rheumatoid arthritis: a retrospective, multicenter observational study
Authors
Jin Nakagawa
Yoshinobu Koyama
Atsushi Kawakami
Yukitaka Ueki
Hiroshi Tsukamoto
Takahiko Horiuchi
Shuji Nagano
Ayumi Uchino
Toshiyuki Ota
Mitsuteru Akahoshi
Koichi Akashi
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Arthritis Research & Therapy / Issue 1/2017
Electronic ISSN: 1478-6362
DOI
https://doi.org/10.1186/s13075-017-1387-9

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