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Impact of anti-rheumatic treatment on the individual components of the ACR composite score in patients with rheumatoid arthritis: real-world data


1, 2, 3, 4, 5, 6

 

  1. UHN, Toronto General Hospital Research Institute, Toronto, and Institute of Health Policy, Management, and Evaluation (IHPME), University of Toronto, Toronto, ON, Canada.
  2. Institut de Rhumatologie de Montréal, RHUMADATA, Montréal, Canada.
  3. Institut de Rhumatologie de Montréal, RHUMADATA, Montréal, Canada.
  4. University of Toronto, Medicine, Toronto, Canada.
  5. UHN, Toronto General Hospital Research Institute, Toronto; Institute of Health Policy, Management, and Evaluation (IHPME), University of Toronto, and University of Toronto, Medicine, Toronto, Canada.
  6. Laval University, Rheumatology, Quebec City, Canada. louis.bessette@crchudequebec.ulaval.ca

CER17354
2024 Vol.42, N°9
PI 1820, PF 1829
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PMID: 38855967 [PubMed]

Received: 05/12/2023
Accepted : 17/04/2024
In Press: 06/06/2024
Published: 23/09/2024

Abstract

OBJECTIVES:
Standard criteria for measuring treatment efficacy in patients with rheumatoid arthritis (RA) include American College of Rheumatology (ACR) response rates, which require meeting a threshold of ≥20/50/70% improvement in several physician- and patient-reported measures. We aimed to evaluate the impact of csDMARDs, TNF inhibitors (TNFi), and tofacitinib (TOFA) on ACR components in real-life practice.
METHODS:
Clinical data of RA patients with a CDAI >10 at the time they started a treatment were pooled from two registries: Ontario Best Practices Research Initiative (OBRI) and RHUMADATA. Endpoints included proportions of patients achieving: ACR20/50/70 responses, ≥20/50/70% improvements and mean percentage improvement in individual ACR components at Month 6. We also adjusted for potential confounders to compare impact of these medications on outcomes of interest.
RESULTS:
A total of 669 patients were included (csDMARD, n=157, TNFi, n=252; TOFA, n=260). An overall higher proportion in all three-medication groups achieved ≥20/50/70% improvement in primary ACR components vs. secondary components. Among secondary components, ≥20/50/70% improvement rates were numerically highest for PhGA and lowest for HAQ-DI and pain. Among ACR20/50/70 responders for all medications, the mean percentage improvement was more than 80% for primary components, and ranged from 30% to 80% for secondary components. A significantly lower proportion of patients in TNFi group achieved to at least 50% improvement in pain compared to TOFA after adjusting.
CONCLUSIONS:
In this real-world practice, physician-reported measures contribute slightly more to overall ACR20/50/70 responses. Pain was the most important factor in achieving an ACR50 TOFA users, possibly reflecting the different effects of JAKi on pain.

DOI: https://doi.org/10.55563/clinexprheumatol/6qobnr

Rheumatology Article

Rheumatology Addendum