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Abstract Number: 0769

Baseline Evaluation of Diagnoses and Prescribing Patterns in Polymyalgia Rheumatica

Laura Stradford1, Shilpa Venkatachalam2, Kelly Gavigan3, Angela Degrassi3, Emily Holladay4, Fenglong xie5, Yujie Su6, Shanette Daigle7 and Jeffrey Curtis8, 1Global Healthy Living Foundation, Nyack, NY, 2Global Healthy Living Foundation, New York, NY, 3Global Healthy Living Foundation, Upper Nyack, NY, 4University of Alabama at Birmingham, Birmingham, AL, 5University of Alabama at Birmingham; Illumination Health, Birmingham, AL, 6Illumination Health, Hoover, AL, 7FASTER, Birmingham, AL, 8University of Alabama at Birmingham, Hoover, AL

Meeting: ACR Convergence 2024

Keywords: glucocorticoids, Polymyalgia Rheumatica (PMR)

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Session Information

Date: Saturday, November 16, 2024

Title: Vasculitis – Non-ANCA-Associated & Related Disorders Poster I

Session Type: Poster Session A

Session Time: 10:30AM-12:30PM

Background/Purpose: Polymyalgia rheumatica (PMR) is a chronic inflammatory rheumatic condition that affects approximately 800,000 people in the U.S., occurring almost exclusively after age 50. Moreover, many patients with PMR also have associated giant cell arteritis (GCA), potentially leading to additional complications.  We conducted a baseline evaluation of electronic health records (EHR) and claims data to examine PMR prevalence and glucocorticoid (GC) prescribing patterns.

Methods: We queried the IQVIA open claims database from 1/1/2015-12/31/2021, claims data (Medicare fee-for-service [FFS] from the 100% sample of Medicare beneficiaries) from 1/1/2011-12/31/2021, and community rheumatology EHR data from the Excellence Network in Rheumatology (ENRGY) from 1/1/2014-12/31/2021. The different study identification periods allowed for at least 2 years of follow-up based on the limitations of the individual datasets. PMR and PMR with GCA were defined as ICD-9-CM and ICD-10-CM codes 725 or M35.3 (PMR) and 446.5 or M31.5 (PMR with GCA), with any PMR with GCA diagnosis placing the patient in the PMR with GCA cohort. Drug use was defined as any oral GC use, Methotrexate (MTX), Tocilizumab (TCZ), Sarilumab (SAR), or combination (GC + MTX, GC+TCZ, GC+SAR, GC+MTX+(TCZ or SAR)).

Results: Across all three data sources disease distribution for PMR with GCA cohort was greatest in those over 70 years old compared to other age categories. The data consistently demonstrated that more women than men were diagnosed with PMR and PMR with GCA (Table). The prevalence of PMR and PMR with GCA was consistent throughout the 3 databases: PMR with GCA IQVIA 3% (41,023/1,153,024), U.S. Medicare 3% (312/8,784), and EHR 5% (265/4,864). Methotrexate was utilized by 7.2%, 13.5%, and 27.6% of patients with PMR in IQVIA, FFS, and EHR data, and 10.1%, 17.9%, and 22.6% of patients with PMR with GCA, respectively. Across the 3 sources we saw low levels of adjunctive treatment with methotrexate plus sarilumab, tocilizumab, or combination therapy.  

Conclusion: Steroid sparing agents (e.g., methotrexate; sarilumab and tocilizumab for GCA) were underutilized in this cohort. However, long-term use of GCs can lead to negative health outcomes. Surveying health professionals with the gathered data and identifying educational needs can help with treatment optimization for PMR and PMR with GCA.

Supporting image 1

Baseline Characteristics of patients with PMR and PMR with GCA


Disclosures: L. Stradford: AbbVie, 5, Amgen, 5, BMS, 5, Eli Lilly, 5, Global Healthy Living Foundation, 3, Pfizer, 5; S. Venkatachalam: None; K. Gavigan: Global Healthy Living Foundation, 3; A. Degrassi: None; E. Holladay: None; F. xie: None; Y. Su: None; S. Daigle: None; J. Curtis: AbbVie, 2, 5, Amgen, 2, 5, Aqtual, 5, Bendcare, 2, 5, Bristol-Myers Squibb(BMS), 5, Corrona, 2, 5, Crescendo, 2, 5, Eli Lilly, 2, 5, FASTER, 2, 4, Genentech, 2, 5, GlaxoSmithKlein(GSK), 2, 5, Janssen, 2, 5, Moderna, 2, 5, Novartis, 2, 5, Pfizer, 2, 5, Roche, 2, 5, Sanofi, 2, 5, UCB Pharma, 2, 5.

To cite this abstract in AMA style:

Stradford L, Venkatachalam S, Gavigan K, Degrassi A, Holladay E, xie F, Su Y, Daigle S, Curtis J. Baseline Evaluation of Diagnoses and Prescribing Patterns in Polymyalgia Rheumatica [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/baseline-evaluation-of-diagnoses-and-prescribing-patterns-in-polymyalgia-rheumatica/. Accessed .
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