Use of a molecular signal response classifier informs treatment selection and improves outcomes in Hispanic patients with rheumatoid arthritis

Objective In this study, we evaluated the performance of a molecular signal response classifier (MSRC) predicting a signal of inadequate response (SIR) to tumor necrosis factor-α inhibitors (TNFis) in Hispanic patients with rheumatoid arthritis. We explored whether the MSRC informed treatment selection and improved outcomes over standard of care. Methods We compared 108 MSRC-tested patients with 206 untested controls. Outcomes included the low clinical disease activity index (CDAI-LDA, <10), minimum clinically important difference (CDAI-MCID), low Routine Assessment of Patient Index Data-3 (RAPID3-LDA), low patient global assessment of disease (PtGA-LDA), and minimal pain visual analog scale score (all ≤2 on a 0–10 scale). Results Seventy (64.8%) MSRC-tested patients exhibited an SIR; those received TNFis less frequently than controls [14.3% vs. 57.8%, adjusted odds ratio (aOR) 0.12 (95% confidence interval, CI, 0.06–0.25)]. Patients with an MSRC-aligned treatment selection more frequently reported CDAI-LDA [aOR 9.79 (1.70–56.58)], CDAI-MCID [aOR 6.49 (1.18–35.71)], RAPID3-LDA [aOR 11.55 (1.42–93.81)], PtGA-LDA [aOR 9.74 (1.11–85.64)], and minimal pain [aOR 6.98 (1.14–42.59)] compared with misaligned ones. Compared with controls, MSRC-aligned patients more commonly reported PtGA-LDA [aOR 1.76 (1.00–3.11)] and minimal pain [aOR 1.94 (1.08–3.51)]. Among biologic disease-modifying antirheumatic drug (bDMARD)-naïve participants, MSRC-aligned patients more frequently reported CDAI-LDA [aOR 3.67 (1.31–10.26)], CDAI-MCID [aOR 5.17 (1.05–25.47)], PtGA-LDA [aOR 3.20 (1.25–8.19)], and minimal pain [aOR 2.90 (1.07–7.85)] vs. controls. In TNFi-treated patients, the MSRC predicted SIR by CDAI-LDA with positive predictive value = 80.0% (95% CI 55.5–97.5%), sensitivity = 50% (95% CI 29.9–75.4%), specificity = 86.7% (95% CI 68.1–98.3%), and area under the curve = 0.68 (0.53–0.84). Conclusions Most Hispanic patients exhibited an SIR to TNFis. MSRC-aligned therapy improved outcomes vs. the MSRC-misaligned group and untested controls, predominantly among bDMARD-naïve patients.

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Publication Details

Journal
Frontiers in Musculoskeletal Disorders
Published
2026-01-21
DOI
https://doi.org/10.3389/fmscd.2025.1728996
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
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article

Use of a molecular signal response classifier informs treatment selection and improves outcomes in Hispanic patients with rheumatoid arthritis

Sarah R. Ormseth, George Karpouzas, Viet L. Bui, Miguel Á. Rodríguez et al.
Frontiers in Musculoskeletal Disorders
Rheumatoid Arthritis Research and Therapies
article

Use of a molecular signal response classifier informs treatment selection and improves outcomes in Hispanic patients with rheumatoid arthritis

Sarah R. Ormseth, George Karpouzas, Viet L. Bui, Miguel Á. Rodríguez, V Strand
article en

Abstract

Objective In this study, we evaluated the performance of a molecular signal response classifier (MSRC) predicting a signal of inadequate response (SIR) to tumor necrosis factor-α inhibitors (TNFis) in Hispanic patients with rheumatoid arthritis. We explored whether the MSRC informed treatment selection and improved outcomes over standard of care. Methods We compared 108 MSRC-tested patients with 206 untested controls. Outcomes included the low clinical disease activity index (CDAI-LDA, <10), minimum clinically important difference (CDAI-MCID), low Routine Assessment of Patient Index Data-3 (RAPID3-LDA), low patient global assessment of disease (PtGA-LDA), and minimal pain visual analog scale score (all ≤2 on a 0–10 scale). Results Seventy (64.8%) MSRC-tested patients exhibited an SIR; those received TNFis less frequently than controls [14.3% vs. 57.8%, adjusted odds ratio (aOR) 0.12 (95% confidence interval, CI, 0.06–0.25)]. Patients with an MSRC-aligned treatment selection more frequently reported CDAI-LDA [aOR 9.79 (1.70–56.58)], CDAI-MCID [aOR 6.49 (1.18–35.71)], RAPID3-LDA [aOR 11.55 (1.42–93.81)], PtGA-LDA [aOR 9.74 (1.11–85.64)], and minimal pain [aOR 6.98 (1.14–42.59)] compared with misaligned ones. Compared with controls, MSRC-aligned patients more commonly reported PtGA-LDA [aOR 1.76 (1.00–3.11)] and minimal pain [aOR 1.94 (1.08–3.51)]. Among biologic disease-modifying antirheumatic drug (bDMARD)-naïve participants, MSRC-aligned patients more frequently reported CDAI-LDA [aOR 3.67 (1.31–10.26)], CDAI-MCID [aOR 5.17 (1.05–25.47)], PtGA-LDA [aOR 3.20 (1.25–8.19)], and minimal pain [aOR 2.90 (1.07–7.85)] vs. controls. In TNFi-treated patients, the MSRC predicted SIR by CDAI-LDA with positive predictive value = 80.0% (95% CI 55.5–97.5%), sensitivity = 50% (95% CI 29.9–75.4%), specificity = 86.7% (95% CI 68.1–98.3%), and area under the curve = 0.68 (0.53–0.84). Conclusions Most Hispanic patients exhibited an SIR to TNFis. MSRC-aligned therapy improved outcomes vs. the MSRC-misaligned group and untested controls, predominantly among bDMARD-naïve patients.

Frontiers in Musculoskeletal DisordersVol. 3
Arthritis Foundation (US), Harbor–UCLA Medical Center (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 83%
Rheumatoid Arthritis Research and Therapies
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