Glucocorticoid discontinuation and clinical phenotypes in patients with giant cell arteritis: A retrospective cohort study from a fast track clinic.

IF 3.3 2区 医学 Q2 RHEUMATOLOGY
Therapeutic Advances in Musculoskeletal Disease Pub Date : 2026-08-17 eCollection Date: 2026-01-01 DOI:10.1177/1759720X261477872
Tanja Fromberg Gorlen, Uffe Møller Døhn, Marie Celeste Heymonet, Jane Maestri Brittain, Mikkel Østergaard, Rasmus Sejersten Ripa, Peter Riis Hansen, Søren Jacobsen, Lene Terslev
{"title":"Glucocorticoid discontinuation and clinical phenotypes in patients with giant cell arteritis: A retrospective cohort study from a fast track clinic.","authors":"Tanja Fromberg Gorlen, Uffe Møller Døhn, Marie Celeste Heymonet, Jane Maestri Brittain, Mikkel Østergaard, Rasmus Sejersten Ripa, Peter Riis Hansen, Søren Jacobsen, Lene Terslev","doi":"10.1177/1759720X261477872","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previous studies have shown that many patients with giant cell arteritis (GCA) remain on glucocorticoid (GC) therapy for several years, though mostly based on older data. Identifying predictors of successful GC tapering is increasingly relevant.</p><p><strong>Objectives: </strong>to 1) determine the probability of discontinuing GC treatment, 2) characterise clinical phenotypes within the GCA spectrum, and 3) their predictive value for successful GC discontinuation.</p><p><strong>Design: </strong>A retrospective cohort study of all patients diagnosed with GCA in our fast track Clinic (FTC) between September 2018 and December 2021.</p><p><strong>Methods: </strong>Clinical, biochemical and imaging data were obtained from patient records from the time of the FTC visit until 31.12.2023. The cumulative incidence of GC discontinuation was estimated using a competing risks model. Symptom- and laboratory-based phenotypes were identified through hierarchical cluster analysis.</p><p><strong>Results: </strong>During the study period, 172 patients were diagnosed with GCA. At baseline, 26% had a prior diagnosis of GCA or polymyalgia rheumatica (PMR). The cumulative incidence of GC discontinuation was 10% at one year, 43% at two years, 58% at three years, and 69% at four and five years after the FTC visit, respectively. Patients with prior GCA/PMR had a lower probability of discontinuing GC treatment than those with new-onset disease. Four symptom-based and three laboratory-based phenotypic clusters were identified, but none of these variables predicted successful GC discontinuation. Multivariable Fine-Gray regression confirmed that previous GCA/PMR was an independent predictor of reduced probability of GC discontinuation.</p><p><strong>Conclusions: </strong>In this real-world cohort, many patients required GC therapy for more than two years. The identified phenotypes did not predict treatment discontinuation. A previous diagnosis of GCA/PMR was associated with a persistent disease course.</p>","PeriodicalId":23056,"journal":{"name":"Therapeutic Advances in Musculoskeletal Disease","volume":"18 ","pages":"1759720X261477872"},"PeriodicalIF":3.3000,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13487055/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic Advances in Musculoskeletal Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/1759720X261477872","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Previous studies have shown that many patients with giant cell arteritis (GCA) remain on glucocorticoid (GC) therapy for several years, though mostly based on older data. Identifying predictors of successful GC tapering is increasingly relevant.

Objectives: to 1) determine the probability of discontinuing GC treatment, 2) characterise clinical phenotypes within the GCA spectrum, and 3) their predictive value for successful GC discontinuation.

Design: A retrospective cohort study of all patients diagnosed with GCA in our fast track Clinic (FTC) between September 2018 and December 2021.

Methods: Clinical, biochemical and imaging data were obtained from patient records from the time of the FTC visit until 31.12.2023. The cumulative incidence of GC discontinuation was estimated using a competing risks model. Symptom- and laboratory-based phenotypes were identified through hierarchical cluster analysis.

Results: During the study period, 172 patients were diagnosed with GCA. At baseline, 26% had a prior diagnosis of GCA or polymyalgia rheumatica (PMR). The cumulative incidence of GC discontinuation was 10% at one year, 43% at two years, 58% at three years, and 69% at four and five years after the FTC visit, respectively. Patients with prior GCA/PMR had a lower probability of discontinuing GC treatment than those with new-onset disease. Four symptom-based and three laboratory-based phenotypic clusters were identified, but none of these variables predicted successful GC discontinuation. Multivariable Fine-Gray regression confirmed that previous GCA/PMR was an independent predictor of reduced probability of GC discontinuation.

Conclusions: In this real-world cohort, many patients required GC therapy for more than two years. The identified phenotypes did not predict treatment discontinuation. A previous diagnosis of GCA/PMR was associated with a persistent disease course.

巨细胞动脉炎患者停用糖皮质激素和临床表型:一项来自快速通道诊所的回顾性队列研究。
背景:先前的研究表明,许多巨细胞动脉炎(GCA)患者仍需糖皮质激素(GC)治疗数年,尽管大多基于较旧的数据。确定成功的GC逐渐减少的预测因素越来越重要。目的:1)确定停止GC治疗的概率,2)表征GCA谱内的临床表型,以及3)它们对成功停止GC的预测价值。设计:对2018年9月至2021年12月在我们的快速通道诊所(FTC)诊断为GCA的所有患者进行回顾性队列研究。方法:从FTC就诊时间到2023年12月31日,收集患者的临床、生化和影像学资料。使用竞争风险模型估计GC停药的累积发生率。通过分层聚类分析确定了基于症状和实验室的表型。结果:在研究期间,172例患者被诊断为GCA。基线时,26%有GCA或多肌痛风湿病(PMR)的先前诊断。在FTC随访后1年、2年、3年、4年和5年,GC终止的累积发生率分别为10%、43%、58%和69%。既往GCA/PMR患者停止GC治疗的概率低于新发疾病患者。确定了四个基于症状和三个基于实验室的表型簇,但这些变量都不能预测成功的GC停药。多变量细灰色回归证实,先前的GCA/PMR是GC停药概率降低的独立预测因子。结论:在这个真实世界的队列中,许多患者需要GC治疗超过两年。鉴定出的表型不能预测停止治疗。既往诊断为GCA/PMR与持续病程相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.80
自引率
4.80%
发文量
132
审稿时长
18 weeks
期刊介绍: Therapeutic Advances in Musculoskeletal Disease delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of musculoskeletal disease.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书