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216 Publications visible to you, out of a total of 216

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BACKGROUND: METARTHROS (Metabolic impact on joint and bone disease) is a nationwide German network to investigate the overlap between inflammatory and metabolic diseases. The objective of this study was to compare the body mass index (BMI) distribution in patients with early and established rheumatoid arthritis (RA) with data from the general population, and to evaluate the association of BMI with patient characteristics and clinical markers. METHODS: The BMI distribution was examined with data collected at inclusion of patients in the early arthritis cohort CAPEA, the biologics register RABBIT, and the National database of the German Collaborative Arthritis Centers. A data source with a representative sample of the German population (German Ageing Survey) was used as a comparator. BMI categories of <18.5 kg/m(2) (underweight), 18.5 to <25 kg/m(2) (normal weight), 25 to <30 kg/m(2) (overweight), and >/=30 kg/m(2) (obese) were used. Patients were stratified by age and sex, and compared to controls from the German Ageing Survey. Associations between BMI and markers of disease activity were analysed with non-parametric tests and linear models. RESULTS: Data from 1207 (CAPEA), 12,230 (RABBIT), and 3424 (National database) RA patients and 6202 population controls were evaluated. The mean age was 56, 56, 62, and 62 years, respectively, the mean disease duration was 13 weeks, 9.9 years, and 13.5 years, respectively, and the mean disease activity score (DAS28) was 5.1, 5.2, and 3.1, respectively. In all RA cohorts, obesity was more frequent (23.8 %, 23.4 %, 21.4 %, respectively) than in controls (18.2 %). This applied to all age groups <70 years, was independent of disease duration, and was more pronounced in females. In all cohorts, the age at RA onset was associated with BMI, being higher in overweight/obese patients compared to normal-weight patients. Current smoking was negatively associated with BMI. Linear analyses revealed increased erythrocyte sedimentation rate (ESR) values in underweight and obese females, and an increasing disparity between tender joint counts (TJCs) and swollen joint counts (SJCs) in higher BMI categories. CONCLUSIONS: Compared to the general population, a higher prevalence of obesity was observed in all RA cohorts. The dominance of obesity in females and the different behaviour of disease activity markers in relation to the BMI in females indicate that additional parameters need to be considered when analysing the impact of obesity on inflammation in RA.

Authors: K. Albrecht, A. Richter, J. Callhoff, D. Huscher, G. Schett, A. Strangfeld, A. Zink

Date Published: 2016

Publication Type: Journal

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BACKGROUND: The aim was to estimate the impact of individual risk factors and treatment with various disease-modifying antirheumatic drugs (DMARDs) on the incidence of myocardial infarction (MI) in patients with rheumatoid arthritis (RA). METHODS: We analysed data from 11,285 patients with RA, enrolled in the prospective cohort study RABBIT, at the start of biologic (b) or conventional synthetic (cs) DMARDs. A nested case-control study was conducted, defining patients with MI during follow-up as cases. Cases were matched 1:1 to control patients based on age, sex, year of enrolment and five cardiovascular (CV) comorbidities. Generalized linear models were applied (Poisson regression with a random component, conditional logistic regression). RESULTS: In total, 112 patients developed an MI during follow-up. At baseline, during the first 6 months of follow-up and prior to the MI, inflammation markers (erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)) but not 28-joint-count disease activity score (DAS28) were significantly higher in MI cases compared to matched controls and the remaining cohort. Baseline treatment with DMARDs was similar across all groups. During follow-up bDMARD treatment was significantly more often discontinued or switched in MI cases. CV comorbidities were significantly less often treated in MI cases vs. matched controls (36 % vs. 17 %, p < 0.01). In the adjusted regression model, we found a strong association between higher CRP and MI (OR for log-transformed CRP at follow-up: 1.47, 95 % CI 1.00; 2.16). Furthermore, treatment with prednisone >/=10 mg/day (OR 1.93, 95 % CI 0.57; 5.85), TNF inhibitors (OR 0.91, 95 % CI 0.40; 2.10) or other bDMARDs (OR 0.85, 95 % CI 0.27; 2.72) was not associated with higher MI risk. CONCLUSIONS: CRP was associated with risk of MI. Our results underline the importance of tight disease control taking not only global disease activity, but also CRP as an individual marker into account. It seems irrelevant with which class of (biologic or conventional) DMARD effective control of disease activity is achieved. However, in some patients the available treatment options were insufficient or insufficiently used - regarding DMARDs to treat RA as well as regarding the treatment of CV comorbidities.

Authors: Y. Meissner, A. Zink, J. Kekow, K. Rockwitz, A. Liebhaber, S. Zinke, K. Gerhold, A. Richter, J. Listing, A. Strangfeld

Date Published: 2016

Publication Type: Journal

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OBJECTIVE: This observational cohort study investigated the impact of biological (b) disease-modifying antirheumatic drugs (DMARDs) on the outcomes of serious infections (SIs) in patients with rheumatoid arthritis. METHODS: We investigated outcomes of SIs observed in 947 patients enrolled in the German biologics register RABBIT(Rheumatoid arthritis: observation of biologic therapy). Outcomes were (1) recovery without complication, (2) sepsis following SI (</=30 days), and (3) death after SI without known sepsis (</=90 days). We applied a multinomial generalised estimating equation model for longitudinal data to evaluate the risks of sepsis and death simultaneously. RESULTS: Sepsis within 30 days after SI was reported in 135 out of 947 patients, 85 of these had a fatal outcome. Fifty-three patients died within 90 days after SI without known sepsis. The adjusted risk of developing sepsis increased with age and was higher in patients with chronic renal disease. Compared with conventional synthetic (cs)DMARDs, the risk was significantly lower when patients were exposed to bDMARDs at the time of SI (OR: 0.56, 95% CI 0.38 to 0.81). Risk factors of fatal SI were higher age, use of glucocorticoids at higher doses and heart failure. Patients treated with bDMARDs and those with better physical function had a significantly lower mortality risk. CONCLUSIONS: These results suggest a beneficial effect of bDMARDs on the risk of sepsis after SI and the risk of a fatal outcome. Successful immunosuppression may prevent an unregulated host response to SI, that is, the escalation to sepsis. Further investigation is needed to validate these results.

Authors: A. Richter, J. Listing, M. Schneider, T. Klopsch, A. Kapelle, J. Kaufmann, A. Zink, A. Strangfeld

Date Published: 2016

Publication Type: Journal

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The study of secondary patient data, particularly represented by claims data, has increased in recent years. The strength of this approach involves easy access to data that have been generated for administrative purposes. By contrast, collection of primary data for research is time-consuming and may therefore appear outdated. Both administrative data and data collected prospectively in clinical care can address similar research questions concerning effectiveness and safety of treatments. Therefore, why should we invest the precious time of rheumatologists to generate primary patient data? This article will outline some features of primary patient data collection illustrated by the German biologics register RABBIT (Rheumatoid arthritis: observation of biologic therapy). RABBIT is a long-term observational cohort study that was initiated more than 15 years ago. We will discuss as quality indicators: (i) study design, (ii) type of documentation, standardisation of (iii) clinical and (iv) safety data, (v) monitoring of the longitudinal follow-up, (vi) losses to follow-up as well as (vii) the possibilities to link the data base. The impact of these features on interpretation and validity of results is illustrated using recent publications. We conclude that high quality and completeness of data prospectively-collected offers many advantages over large quantities of non-standardised data collected in an unsupervised manner. We expect the enthusiasm about the use of secondary patient data to decline with more awareness of their methodological limitations while studies with primary patient data like RABBIT will maintain and broaden their impact on daily clinical practice.

Authors: A. Richter, Y. Meissner, A. Strangfeld, A. Zink

Date Published: 2016

Publication Type: Journal

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INTRODUCTION: Only insufficient data are available regarding the question whether treatment with immunosuppressants or biologicals is feasible and safe in patients with a history of malignancy. METHOD: Literature search via PubMed, EULAR abstracts and ACR abstracts from 2013 to 2015. RESULTS: The Societe Francaise de Rhumatologie, the Canadian Rheumatology Association and the American College of Rheumatology have tried to make recommendations on this topic. Direct evidence mainly originates from data in three national registries which suggest that treatment with tumor necrosis factor (TNF) inhibitors and rituximab appears to be safe for carefully selected patients, at least if there is a longer interval between treatment with biologicals and oncological treatment. Furthermore, despite partly conflicting data all routine drugs for treating rheumatoid arthritis do not seem to show a consistently increased risk of de novo malignancies. The currently available data are presented for each drug of interest. CONCLUSION: Taking the current literature into account an attempt is made to formulate an algorithm for the medicinal treatment of patients with rheumatoid arthritis and a history of malignancy.

Authors: M. Schmalzing, A. Strangfeld, H. P. Tony

Date Published: 2016

Publication Type: Journal

Abstract (Expand)

The increased incidence of certain tumor entities in chronic inflammation and infections as well as the increased tumor risk under immunosuppression, illustrate the multiple and complex influences of the immune system on tumor pathogenesis. It is therefore conceivable that immunomodulatory therapy for rheumatoid arthritis (RA) could also influence the risk of malignancies, apart from treating the underlying disease. Basic scientific research studies have identified various signal transduction pathways that are relevant for tumorigenesis and tumor defense mechanisms. This review presents the current knowledge on the effects of the immune system on the occurrence of cancer and tries, where possible, to relate it to specific treatment options.

Authors: M. J. Waldner, A. Strangfeld, M. Aringer

Date Published: 2016

Publication Type: Journal

Abstract

Not specified

Authors: S Schenck, M Niewerth, C Sengler, R Trauzeddel, A Thon, K Minden, J Klotsche

Date Published: 1st Mar 2015

Publication Type: Journal

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