Literature DB >> 15630727

Relapse in a population based cohort of patients with polymyalgia rheumatica.

Hilal Maradit Kremers1, Megan S Reinalda, Cynthia S Crowson, Alan R Zinsmeister, Gene G Hunder, Sherine E Gabriel.   

Abstract

OBJECTIVE: To determine the incidence and the clinical, laboratory, and treatment related predictors of relapse in polymyalgia rheumatica (PMR).
METHODS: Using the population based resources of the Rochester Epidemiology Project, we assembled an incidence cohort of subjects with PMR first diagnosed between January 1, 1970, and December 31, 1999. For inclusion, subjects were required to fulfill 3 criteria: (1) age > or = 50 years; (2) bilateral aching and morning stiffness in neck, shoulders, or hip girdle regions; and (3) erythrocyte sedimentation rate (ESR) > or = 40 mm/h. In subjects who fulfilled the first 2 criteria but had a normal ESR, a rapid response to low dose corticosteroids (CS) served as the third criterion. Patients were followed until permanent remission, migration, or a maximum of 5 years after their incidence date. Relapse was defined as an exacerbation of PMR symptoms requiring an adjustment of CS dose (> or = 5 mg) occurring at least 30 days after the incidence date. Time to relapse was modeled using the Kaplan-Meier method. CS treatment patterns were modeled using linear and nonlinear models. Cox regression models were used to evaluate predictors of time to first and subsequent relapses.
RESULTS: The study population included 364 patients with a mean age of 73.4 years and 244 (67%) were women. Among the 284 patients treated with CS, a higher initial CS dose and faster CS tapering rate were significant predictors of future relapses, after adjusting for age, sex, ESR, giant cell arteritis at PMR diagnosis, and the intensity of rheumatologist care. Every 5 mg/day increase in initial CS dose was associated with a 7% increase in the risk of relapse [hazard ratio (HR) 1.07, 95% CI 1.02, 1.13]. The hazard of having a relapse was 4-fold higher when the CS tapering rate was fast (HR 4.27, 95% CI 2.84, 6.44), and 2-fold higher when the CS tapering rate was medium (HR 2.19, 95% CI 1.54, 3.11) compared to slow tapering.
CONCLUSION: Higher initial CS doses and faster tapering are significant predictors of future relapses. Our results suggest that efforts should be made to minimize initial CS dose and taper CS slowly in order to avoid disease relapses.

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Year:  2005        PMID: 15630727

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  26 in total

1.  Clinical guidelines: Best practices and uncertainties in the management of PMR.

Authors:  Miguel A González-Gay; Javier Llorca
Journal:  Nat Rev Rheumatol       Date:  2015-10-20       Impact factor: 20.543

Review 2.  Giant cell arteritis and polymyalgia rheumatica: pathophysiology and management.

Authors:  Miguel A Gonzalez-Gay; Carlos Garcia-Porrua; Jose A Miranda-Filloy; Javier Martin
Journal:  Drugs Aging       Date:  2006       Impact factor: 3.923

3.  EULAR evidence-based recommendations on the management of systemic glucocorticoid therapy in rheumatic diseases.

Authors:  J N Hoes; J W G Jacobs; M Boers; D Boumpas; F Buttgereit; N Caeyers; E H Choy; M Cutolo; J A P Da Silva; G Esselens; L Guillevin; I Hafstrom; J R Kirwan; J Rovensky; A Russell; K G Saag; B Svensson; R Westhovens; H Zeidler; J W J Bijlsma
Journal:  Ann Rheum Dis       Date:  2007-07-27       Impact factor: 19.103

Review 4.  Polymyalgia rheumatica and giant cell arteritis in older patients: diagnosis and pharmacological management.

Authors:  Jean Schmidt; Kenneth J Warrington
Journal:  Drugs Aging       Date:  2011-08-01       Impact factor: 3.923

Review 5.  Polymyalgia rheumatica.

Authors:  Clement J Michet; Eric L Matteson
Journal:  BMJ       Date:  2008-04-05

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Authors:  F Buttgereit; T Brabant; H Dinges; I Hiemer; M Kaplani; U Kiltz; D Kyburz; A Reißhauer; M Schneider; C Weseloh; C Dejaco
Journal:  Z Rheumatol       Date:  2018-06       Impact factor: 1.372

Review 7.  Polymyalgia rheumatica: strategies for efficient practice and quality assurance.

Authors:  Michael Schirmer; Christian Dejaco; Bhaskar Dasgupta; Eric L Matteson
Journal:  Rheumatol Int       Date:  2015-06-02       Impact factor: 2.631

Review 8.  The Rochester Epidemiology Project: exploiting the capabilities for population-based research in rheumatic diseases.

Authors:  Hilal Maradit Kremers; Elena Myasoedova; Cynthia S Crowson; Guergana Savova; Sherine E Gabriel; Eric L Matteson
Journal:  Rheumatology (Oxford)       Date:  2010-07-13       Impact factor: 7.580

Review 9.  Prescribing for polymyalgia rheumatica.

Authors:  David F Liew; Claire E Owen; Russell R Buchanan
Journal:  Aust Prescr       Date:  2018-02-01

10.  Increased risk of peripheral arterial disease in polymyalgia rheumatica: a population-based cohort study.

Authors:  Kenneth J Warrington; Elena P Jarpa; Cynthia S Crowson; Leslie T Cooper; Gene G Hunder; Eric L Matteson; Sherine E Gabriel
Journal:  Arthritis Res Ther       Date:  2009-03-31       Impact factor: 5.156

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