Literature DB >> 25096602

Strategies to predict rheumatoid arthritis development in at-risk populations.

Elizabeth W Karlson1, Dirkjan van Schaardenburg2, Annette H van der Helm-van Mil3.   

Abstract

The development of RA is conceived as a multiple hit process and the more hits that are acquired, the greater the risk of developing clinically apparent RA. Several at-risk phases have been described, including the presence of genetic and environmental factors, RA-related autoantibodies and biomarkers and symptoms. Intervention in these preclinical phases may be more effective compared with intervention in the clinical phase. One prerequisite for preventive strategies is the ability to estimate an individual's risk adequately. This review evaluates the ability to predict the risk of RA in the various preclinical stages. Present data suggest that a combination of genetic and environmental factors is helpful to identify persons at high risk of RA among first-degree relatives. Furthermore, a combination of symptoms, antibody characteristics and environmental factors has been shown to be relevant for risk prediction in seropositive arthralgia patients. Large prospective studies are needed to validate and improve risk prediction in preclinical disease stages.
© The Author 2014. 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:  (genetic) risk; ACPA; arthralgia; autoantibodies; epidemiology; preclinical; prediction; rheumatoid arthritis

Mesh:

Substances:

Year:  2014        PMID: 25096602      PMCID: PMC4676903          DOI: 10.1093/rheumatology/keu287

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


  81 in total

1.  Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models.

Authors:  Michael J Pencina; Ralph B D'Agostino; Olga V Demler
Journal:  Stat Med       Date:  2011-12-07       Impact factor: 2.373

2.  Incidence of rheumatoid arthritis in a genetically predisposed population.

Authors:  A J Silman; E Hennessy; B Ollier
Journal:  Br J Rheumatol       Date:  1992-06

3.  Immediate access rheumatology clinic: efficiency and outcomes.

Authors:  Miriam Gärtner; Julia P Fabrizii; Elisabeth Koban; Martin Holbik; Lorenz P Machold; Josef S Smolen; Klaus P Machold
Journal:  Ann Rheum Dis       Date:  2011-10-11       Impact factor: 19.103

Review 4.  The shared epitope hypothesis. An approach to understanding the molecular genetics of susceptibility to rheumatoid arthritis.

Authors:  P K Gregersen; J Silver; R J Winchester
Journal:  Arthritis Rheum       Date:  1987-11

5.  Development of the anti-citrullinated protein antibody repertoire prior to the onset of rheumatoid arthritis.

Authors:  Lotte A van de Stadt; Margret H M T de Koning; Rob J van de Stadt; Gertjan Wolbink; Ben A C Dijkmans; Dörte Hamann; Dirkjan van Schaardenburg
Journal:  Arthritis Rheum       Date:  2011-11

6.  Immunopathology of rheumatoid arthritis. Antikeratin antibodies precede the clinical disease.

Authors:  P Kurki; K Aho; T Palosuo; M Heliövaara
Journal:  Arthritis Rheum       Date:  1992-08

7.  Rheumatoid factors antedating clinical rheumatoid arthritis.

Authors:  K Aho; M Heliövaara; J Maatela; T Tuomi; T Palosuo
Journal:  J Rheumatol       Date:  1991-09       Impact factor: 4.666

8.  Arthritis development in patients with arthralgia is strongly associated with anti-citrullinated protein antibody status: a prospective cohort study.

Authors:  W H Bos; G J Wolbink; M Boers; G J Tijhuis; N de Vries; I E van der Horst-Bruinsma; P P Tak; R J van de Stadt; C J van der Laken; B A C Dijkmans; D van Schaardenburg
Journal:  Ann Rheum Dis       Date:  2009-04-09       Impact factor: 19.103

9.  Effect of dexamethasone on autoantibody levels and arthritis development in patients with arthralgia: a randomised trial.

Authors:  W H Bos; B A C Dijkmans; M Boers; R J van de Stadt; D van Schaardenburg
Journal:  Ann Rheum Dis       Date:  2009-04-09       Impact factor: 19.103

10.  Modifiable risk factors for RA: prevention, better than cure?

Authors:  Manjari Lahiri; Catharine Morgan; Deborah P M Symmons; Ian N Bruce
Journal:  Rheumatology (Oxford)       Date:  2011-11-24       Impact factor: 7.580

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  20 in total

1.  Predicting and preventing the development of rheumatoid arthritis.

Authors:  Karim Raza; Lars Klareskog; V Michael Holers
Journal:  Rheumatology (Oxford)       Date:  2015-07-29       Impact factor: 7.580

2.  Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors.

Authors:  Maria G Prado; Maura D Iversen; Zhi Yu; Rachel Miller Kroouze; Nellie A Triedman; Sarah S Kalia; Bing Lu; Robert C Green; Elizabeth W Karlson; Jeffrey A Sparks
Journal:  Arthritis Care Res (Hoboken)       Date:  2018-10       Impact factor: 4.794

Review 3.  Preventive Treatments for Rheumatoid Arthritis: Issues Regarding Patient Preferences.

Authors:  Axel Finckh; Monica Escher; Matthew H Liang; Nick Bansback
Journal:  Curr Rheumatol Rep       Date:  2016-08       Impact factor: 4.592

4.  Assessing improved risk prediction of rheumatoid arthritis by environmental, genetic, and metabolomic factors.

Authors:  Lilia Bouzit; Susan Malspeis; Jeffrey A Sparks; Jing Cui; Elizabeth W Karlson; Kazuki Yoshida; Karen H Costenbader
Journal:  Semin Arthritis Rheum       Date:  2021-07-10       Impact factor: 5.431

5.  Changes in peripheral blood T lymphocyte subsets predict disease progression in patients with rheumatoid arthritis.

Authors:  Jie Tan; Jialiang Chen
Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

6.  Regulatory CD4+ T-Cell Subsets and Anti-Citrullinated Protein Antibody Repertoire: Potential Biomarkers for Arthritis Development in Seropositive Arthralgia Patients?

Authors:  Koen M J Janssen; Johanna Westra; Paulina Chalan; Annemieke M H Boots; Menke J de Smit; Arie Jan van Winkelhoff; Arjan Vissink; Elisabeth Brouwer
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

7.  Perceptions of risk and predictive testing held by the first-degree relatives of patients with rheumatoid arthritis in England, Austria and Germany: a qualitative study.

Authors:  Rebecca J Stack; Michaela Stoffer; Mathias Englbrecht; Erika Mosor; Marie Falahee; Gwenda Simons; Josef Smolen; Georg Schett; Chris D Buckley; Kanta Kumar; Mats Hansson; Axel Hueber; Tanja Stamm; Karim Raza
Journal:  BMJ Open       Date:  2016-06-29       Impact factor: 2.692

Review 8.  Towards prevention of autoantibody-positive rheumatoid arthritis: from lifestyle modification to preventive treatment.

Authors:  Danielle M Gerlag; Jill M Norris; Paul P Tak
Journal:  Rheumatology (Oxford)       Date:  2015-09-15       Impact factor: 7.580

9.  Omega-3 fatty acids are associated with a lower prevalence of autoantibodies in shared epitope-positive subjects at risk for rheumatoid arthritis.

Authors:  Ryan W Gan; M Kristen Demoruelle; Kevin D Deane; Michael H Weisman; Jane H Buckner; Peter K Gregersen; Ted R Mikuls; James R O'Dell; Richard M Keating; Tasha E Fingerlin; Gary O Zerbe; Michael J Clare-Salzler; V Michael Holers; Jill M Norris
Journal:  Ann Rheum Dis       Date:  2016-05-17       Impact factor: 27.973

10.  Analysis of serum immune markers in seropositive and seronegative rheumatoid arthritis and in high-risk seropositive arthralgia patients.

Authors:  Paulina Chalan; Johan Bijzet; Anke van den Berg; Joost Kluiver; Bart-Jan Kroesen; Annemieke M H Boots; Elisabeth Brouwer
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

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