Literature DB >> 25802399

Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage.

Roxanne Cooksey1, Sinead Brophy2, Michael Dennis2, Helen Davies2, Mark Atkinson2, Elizabeth Irvine2, Stefan Siebert3.   

Abstract

OBJECTIVE: To explore severe flare and constant disease pattern (no periods of remission) in AS as predictors of poor outcomes [impaired function, unemployment/early retirement, work impairment, anti-TNF, surgery, frequent general practitioner (GP) visits, depression and anxiety].
METHODS: Three hundred and forty-eight AS patients completed questionnaires about their experience with disease flares. Questionnaire data were linked to electronic medical records to examine visits to GPs and hospital admission data. Outcomes were stratified in two ways: self-reported experience of severe flare and constant disease pattern using the flare illustration tool.
RESULTS: The majority of patients (72%, 208/289) experienced flare pre-diagnosis. Severe flares were reported by 58% (202/348) of participants (self-report); of these, 195 responded about earliest flares and 69% (135/195) of severe flare patients experienced flares pre-diagnosis. Patients who self-reported severe flares had worse function, disease activity, work impairment and symptoms of anxiety and depression, were less likely to be employed and had more GP encounters per year compared with those who never reported severe flares. Participants who reported constant unremitting disease on the flare illustration tool had worse disease activity, impaired function and work impairment and were more likely to smoke compared with those with intermittent disease. Analysis showed a relationship between self-report of severe flare and subsequent depression, impaired function, increased disease activity and work limitations.
CONCLUSION: Severe flare is associated with poor outcomes such as work impairment and impaired function. The onset of severe flare early in the disease course may be a risk factor for later poor outcome and this group could benefit from targeted early aggressive treatment to improve prognosis.
© The Author 2015. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  ankylosing spondylitis; disease flare; outcome measures; spondyloarthritis

Mesh:

Year:  2015        PMID: 25802399     DOI: 10.1093/rheumatology/kev015

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  5 in total

Review 1.  Individual Data Linkage of Survey Data with Claims Data in Germany-An Overview Based on a Cohort Study.

Authors:  Stefanie March
Journal:  Int J Environ Res Public Health       Date:  2017-12-09       Impact factor: 3.390

2.  Flares assessed weekly in patients with rheumatoid arthritis or axial spondyloarthritis and relationship with physical activity measured using a connected activity tracker: a 3-month study.

Authors:  Charlotte Jacquemin; Anna Molto; Hervé Servy; Jérémie Sellam; Violaine Foltz; Frédérique Gandjbakhch; Christophe Hudry; Stéphane Mitrovic; Benjamin Granger; Bruno Fautrel; Laure Gossec
Journal:  RMD Open       Date:  2017-06-29

3.  Methodological aspects of design, analysis and reporting of studies with work participation as an outcome domain in patients with inflammatory arthritis: results of two systematic literature reviews informing EULAR points to consider.

Authors:  Mary Lucy Marques; Alessia Alunno; Sofia Ramiro; Polina Putrik; Annelies Boonen; Marieke M Ter Wee; Louise Falzon
Journal:  RMD Open       Date:  2021-02

4.  Understanding flare in axial spondyloarthritis: novel insights from daily self-reported flare experience.

Authors:  Rosemarie Barnett; Stanley Ng; Raj Sengupta
Journal:  Rheumatol Adv Pract       Date:  2021-11-15

5.  A Profile of the SAIL Databank on the UK Secure Research Platform.

Authors:  K H Jones; D V Ford; S Thompson; R A Lyons
Journal:  Int J Popul Data Sci       Date:  2019-11-20
  5 in total

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