Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers

<p><strong>Objectives</strong> Joint replacement surgery is a proxy of severe joint damage in rheumatoid arthritis (RA). The aim of this study was to assess the impact of the introduction of biologic disease‐modifying antirheumatic drugs (bDMARDs) on the incidence rate (IR) of uppe...

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Main Authors: Cordtz, R, Hawley, S, Prieto-Alhambra, D, Højgaard, P, Zobbe, K, Kristensen, LE, Overgaard, S, Odgaard, A, Soussi, BG, Dreyer, L
Format: Journal article
Language:English
Published: Wiley 2020
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author Cordtz, R
Hawley, S
Prieto-Alhambra, D
Højgaard, P
Zobbe, K
Kristensen, LE
Overgaard, S
Odgaard, A
Soussi, BG
Dreyer, L
author_facet Cordtz, R
Hawley, S
Prieto-Alhambra, D
Højgaard, P
Zobbe, K
Kristensen, LE
Overgaard, S
Odgaard, A
Soussi, BG
Dreyer, L
author_sort Cordtz, R
collection OXFORD
description <p><strong>Objectives</strong> Joint replacement surgery is a proxy of severe joint damage in rheumatoid arthritis (RA). The aim of this study was to assess the impact of the introduction of biologic disease‐modifying antirheumatic drugs (bDMARDs) on the incidence rate (IR) of upper limb joint replacements among newly diagnosed RA patients.</p> <p><strong>Methods</strong> Using the Danish National Patient Register, patients with incident RA from 1996–2012 were identified. Each patient was matched on age, sex, and municipality, with up to 10 general population controls. The age‐ and sex‐standardized 5‐year IR per 1,000 person‐years of a composite outcome of any first joint replacement of the finger, wrist, elbow, or shoulder was calculated, and an interrupted time‐series analysis was undertaken to investigate trends and changes of the IR in the pre‐bDMARD (1996–2001) and the bDMARD eras (2003–2012), with a 1‐year lag period in 2002.</p> <p><strong>Results</strong> In total, 18,654 incident patients with RA were identified (mean age 57.6 years, 70.5% women). The IR of joint replacements among patients with RA was stable at 2.46 per 1,000 person‐years (95% confidence interval [95% CI] 1.96, 2.96) from 1996 to 2001 but started to decrease from 2003 onwards (–0.08 per 1,000 person‐years annually [95% CI –0.20, 0.02]). Compared with patients with RA, the IR among controls in 1996 was 1/17 and increased continuously throughout the study period.</p> <p><strong>Conclusion</strong> The IR of upper limb joint replacements started to decrease among patients with RA from 2002 onwards, whereas it increased among controls. Our results suggest an association between the introduction of bDMARDs and a lower need of joint replacements among patients with RA.</p>
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spelling oxford-uuid:c87a7ed8-1d81-44c5-be04-64ff49389ea52022-03-27T06:52:27ZReduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registersJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c87a7ed8-1d81-44c5-be04-64ff49389ea5EnglishSymplectic Elements at OxfordWiley2020Cordtz, RHawley, SPrieto-Alhambra, DHøjgaard, PZobbe, KKristensen, LEOvergaard, SOdgaard, ASoussi, BGDreyer, L<p><strong>Objectives</strong> Joint replacement surgery is a proxy of severe joint damage in rheumatoid arthritis (RA). The aim of this study was to assess the impact of the introduction of biologic disease‐modifying antirheumatic drugs (bDMARDs) on the incidence rate (IR) of upper limb joint replacements among newly diagnosed RA patients.</p> <p><strong>Methods</strong> Using the Danish National Patient Register, patients with incident RA from 1996–2012 were identified. Each patient was matched on age, sex, and municipality, with up to 10 general population controls. The age‐ and sex‐standardized 5‐year IR per 1,000 person‐years of a composite outcome of any first joint replacement of the finger, wrist, elbow, or shoulder was calculated, and an interrupted time‐series analysis was undertaken to investigate trends and changes of the IR in the pre‐bDMARD (1996–2001) and the bDMARD eras (2003–2012), with a 1‐year lag period in 2002.</p> <p><strong>Results</strong> In total, 18,654 incident patients with RA were identified (mean age 57.6 years, 70.5% women). The IR of joint replacements among patients with RA was stable at 2.46 per 1,000 person‐years (95% confidence interval [95% CI] 1.96, 2.96) from 1996 to 2001 but started to decrease from 2003 onwards (–0.08 per 1,000 person‐years annually [95% CI –0.20, 0.02]). Compared with patients with RA, the IR among controls in 1996 was 1/17 and increased continuously throughout the study period.</p> <p><strong>Conclusion</strong> The IR of upper limb joint replacements started to decrease among patients with RA from 2002 onwards, whereas it increased among controls. Our results suggest an association between the introduction of bDMARDs and a lower need of joint replacements among patients with RA.</p>
spellingShingle Cordtz, R
Hawley, S
Prieto-Alhambra, D
Højgaard, P
Zobbe, K
Kristensen, LE
Overgaard, S
Odgaard, A
Soussi, BG
Dreyer, L
Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title_full Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title_fullStr Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title_full_unstemmed Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title_short Reduction in upper limb joint surgery among rheumatoid arthritis patients: An interrupted time-series analysis using Danish health care registers
title_sort reduction in upper limb joint surgery among rheumatoid arthritis patients an interrupted time series analysis using danish health care registers
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