Citation
Linden, M. P. M. van der. (2011, September 15). Predictive factors for outcome of rheumatoid arthritis. Retrieved from
https://hdl.handle.net/1887/17836
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Predictive Factors for Outcome of Rheumatoid Arthritis
Michael van der Linden
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Lay out and printing: Optima Grafi sche Communicatie, Rotterdam, the Netherlands.
M.P.M. van der Linden, PhD Th esis (2011), Leiden University Medical Center, Leiden, the Netherlands.
Publication of this thesis was fi nancially supported by Abbott BV, Dutch Arthritis Association (Reumafonds), J.E. Jurriaanse Stichting, Merck Sharp & Dohme BV, Pfi zer BV, Roche Nederland BV, Teva Nederland BV.
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Predictive Factors for Outcome of Rheumatoid Arthritis
Proefschrift
ter verkrijging van
de graad van Doctor aan de Universiteit Leiden, op gezag van Rector Magnifi cus prof. mr. P.F. van der Heijden,
volgens besluit van het College voor Promoties te verdedigen op donderdag 15 september 2011
klokke 13.45 uur door
Michael Patrick Marcel van der Linden
geboren te Leerdam in 1978
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Co-promotor: Dr. A.H.M. van der Helm-van Mil
Overige leden: Prof. dr. B.A.C. Dijkmans VU Medisch Centrum, Amsterdam Prof. dr. D.M.F.M. van der Heijde Dr. K. Raza
University of Birmingham, Birmingham, UK Prof. dr. R.E.M. Toes
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CONTENTS
Chapter 1 General Introduction 7
Part I Methodology of analyzing RA severity data
Chapter 2 Comparison of methodology to analyze progression of joint destruc- tion in rheumatoid arthritis
Submitted
27
Part II Serology in risk prediction of RA development and severity
Chapter 3 Value of anti-MCV and anti-CCP3 compared to anti-CCP2 and rheumatoid factor in predicting disease outcome in undiff erentiated arthritis and rheumatoid arthritis
Arthritis Rheum 2009; 60 (8): 2232-2241
45
Chapter 4 Towards a data-driven evaluation of the 2010 ACR/EULAR criteria for rheumatoid arthritis: is it sensible to look at levels of rheumatoid factor?
Arthritis Rheum 2011; 63 (5): 1190-1199
63
Chapter 5 Identifi cation of CXCL13 as marker for outcome of rheumatoid arthritis using an in silico model of the rheumatic joint
Arthritis Rheum 2011; 63 (5): 1265-1273
81
Part III Genetics in risk prediction of RA development and severity
Chapter 6 Association of the 6q23 region with the rate of joint destruction in rheumatoid arthritis
Ann Rheum Dis 2010; 69 (3): 567-570
99
Chapter 7 Association of a single-nucleotide polymorphism in CD40 with the rate of joint destruction in rheumatoid arthritis
Arthritis Rheum 2009; 60 (8):2242-2247
111
Chapter 8 Th e PTPN22 susceptibility risk variant is not associated with the rate of joint destruction in anti-citrullinated protein antibody-positive rheumatoid arthritis
Ann Rheum Dis 2010; 69 (9): 1730-1731
121
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Chapter 10 Th e window of opportunity in ACPA-positive rheumatoid arthritis is not explained by ACPA characteristics
Ann Rheum Dis 2011; In press
143
Part V Subphenotypes of RA severity
Chapter 11 Repair of joint erosions in rheumatoid arthritis: prevalence and patient characteristics in a large inception cohort
Ann Rheum Dis 2010; 69 (4):727-729
151
Chapter 12 Joint damage in response to infl ammation in rheumatoid arthritis;
unraveling underlying mechanisms using extreme discordant phenotypes
Submitted
159
Part VI Discriminative ability in (development of RA and) outcome of RA
Chapter 13 Classifi cation of rheumatoid arthritis: comparison of the 1987 ACR and 2010 ACR/EULAR criteria
Arthritis Rheum 2011; 63 (1): 37-42
171
Chapter 14 Predicting arthritis outcomes - what can be learned from the Leiden Early Arthritis Clinic?
Rheumatology (Oxford) 2011; 50 (1): 93-100
185
Chapter 15 Summary and Discussion 199
Nederlandse Samenvatting 213
Dankwoord 217
Curriculum Vitae 219
Publications 221
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