scholarly journals POS0308 TRAJECTORIES OF FATIGUE IN EARLY RA OVER 10 YEARS: RESULTS FROM THE ESPOIR COHORT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 380.1-380
Author(s):  
S. Rodriguez-Muguruza ◽  
B. Combe ◽  
F. Guillemin ◽  
A. Olive ◽  
O. Valero ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Cluster Analysis ◽  
Psychological Distress ◽  
Disease Activity ◽  
Disease Duration ◽  
Sleep Problems ◽  
Multinomial Logistic Regression ◽  
Cross Sectional ◽  
Early Ra ◽  
Patient Reported

Background:Fatigue is one of the most prevalent symptom reported by persons with RA. RA-related fatigue is a complex concept with biological, psychological and social interactions.Objectives:In a cohort of early RA patients, to determine and characterize fatigue trajectories over 10 years of follow-up and identify predictors of trajectory membership.Methods:Patients fulfilling the 2010 ACR/EULAR criteria for RA included in the ESPOIR cohort. We used a cluster analysis to obtain fatigue (assessed by fatigue visual analogue scale) trajectories over the course of 10 years from enrolment. Chi-square tests or ANOVA were performed to evaluate differences of baseline variables between fatigue trajectories. Using a multinomial logistic regression we could identify predictors of trajectory membership.Results:We analysed 598 patients with mean disease duration at enrolment of 26.2 ± 40.9 days. Cluster analysis revealed 3 trajectories: high (18%), moderate (52%) and low fatigue (30%). Compared to patients with moderate or low fatigue trajectory, patients with high fatigue trajectory were predominantly women and reported significantly higher duration and intensity of morning stiffness, HAQ score, number of tender joints, levels of pain, number of awakenings due to arthritis, levels of physician and patient global assessment and more frequent sleep problems, and increased psychological distress. Female patients with pain, psychological distress and presence of sicca symptoms had higher risk of being in high trajectory group.Conclusion:These findings suggest that levels of fatigue are rather stable over time in each trajectory. Baseline clinical measures and baseline patient-reported measures of functional status better distinguished the three fatigue trajectories. We did not find differences between trajectories in baseline laboratory measures. Inflammatory activity was not a predictor of being in high trajectory fatigue group.References:[1]Pollard LC, Choy EH, Gonzalez J, Khoshaba B, Scott DL. Fatigue in rheumatoid arthritis reflects pain, not disease activity. Rheumatology (Oxford) 2006;45:885–9[2]Repping-Wuts H, van Riel P, van Achterberg T. Fatigue in patients with rheumatoid arthritis: what is known and what is needed. Rheumatology (Oxford) 2009;48:207–9.[3]Pilgaard T, hagelund L, Stallknecht SE, jensen HH, Esbensen BA. Severity of fatigue in people with rheumatoid arthritis, psoritic artrhitis and spondyoarthritis- Results of cross-sectional study. Plos One. 2019;14:e0211831[4]Feldthusen C, Grimby-Ekman A, Forsblad-d’Elia H, Jacobsson L, Mannerkorpi K. Explanatory factors and predictors of fatigue in persons with rheumatoid arthritis: a longitudinal study. J Rehabil Med 2016 28;48:469–76.[5]Madsen SG, Danneskiold-Samsøe B, Stockmarr A, Bartels EM. Correlations between fatigue and disease duration, disease activity, and pain in patients with rheumatoid arthritis: a systematic review. Scand J Rheumatol. 2016;45:255-61.[6]Olsen CL, Lie E, Kvien TK, Zangi HA. Predictors of fatigue in rheumatoid arthritis patients in remission or in a low disease activity state. Arthritis Care Res (Hoboken) 2016;68:1043–8.[7]Druce K, Jones GT, Macfarlane GJ, Verstappen SMM, Basu N. The longitudinal course of fatigue in rheumatoid arthritis: results from the Norfolk Arthritis Register. J Rheumatol 2015;42:2059–65.Disclosure of Interests:None declared

scholarly journals FRI0020 CLINICAL TREATMENT RESPONSE STILL DOES NOT MATCH PATIENT REPORTED IMPROVEMENT, EVEN IN EARLY RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 582.1-582
Author(s):  
S. Pazmino ◽  
A. Lovik ◽  
A. Boonen ◽  
D. De Cock ◽  
V. Stouten ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Early Rheumatoid Arthritis ◽  
Health Assessment ◽  
Sustained Remission ◽  
Research Support ◽  
Early Ra ◽  
Severity Scores ◽  
Patient Reported ◽  
Over Time

Background:Commonly used disease activity scores in rheumatoid arthritis (RA) include one patient reported outcome (PRO) -the patient’s global health assessment (PGA). Exploratory factor analysis (EFA) was performed on data from the 2 year Care in early Rheumatoid Arthritis (CareRA) trial to explain the evolution of disease burden extracting 3 factors.1Objectives:To assess the evolution and relative responsiveness over time of clinical, laboratory and patient assessments included in composite scores, together with other PROs like pain, fatigue and functionality in patients with early RA (≤1 year) treated to target (T2T) within the CareRA trial.Methods:DMARD naïve patients with early RA (n=379) were included, randomized to remission induction with COBRA-like treatment schemes (n=332) or MTX monotherapy (n=47) and T2T.Components of disease activity scores (swollen/tender joint count (S/TJC), C-reactive protein (CRP) or erythrocyte sedimentation rate (ESR), and physician (PhGH) or patient (PGA) global health assessment), pain and fatigue (both on 0-100 scale) and HAQ were recorded at every visit.Missing data was handled with multiple imputation (n=15). Clustering was removed with multiple outputation (n=1000), then each of the 15 000 datasets was analyzed by EFA with principal component extraction and oblimin rotation. The analyses were combined after re-ordering the factors by maximizing factor congruence. The 3 extracted factors and their individual components (with their loadings) were: 1. Patient containing PGA (0.87), pain (0.86), fatigue (0.90) and HAQ (0.5) 2.Clinical with SJC (0.92), TJC (0.89) and PhGH (0.76) and 3.Laboratory with CRP(0.87) and ESR (0.78).1(Pazmino, ACR 2019 abstract, Table 3)Afterwards, variables were first normalized to a 0-1 scale, then multiplied -weighted- by the factor loadings previously obtained.1For each Patient, Clinical and Laboratory severity score, the weighted variables belonging to each score were summed together and then re-scaled to 0-1 (higher values suggest more burden).The percentage (%) improvement from baseline to week 104 and the area under the curve (AUC) across time points were calculated per factor.Differences in % improvement and AUC were compared between patients not achieving and achieving early and sustained (week 16 to 104) disease activity score remission (DAS28CRP <2.6) with ANOVA. Bonferroni correction was used for multiple testing.Results:Severity scores of Patient, Clinical and Laboratory factors improved rapidly over time (Figure 1). In patients achieving sustained remission (n=122), Patient, Clinical and Laboratory scores improved 56%, 90% and 27% respectively. In patients not achieving sustained remission (n=257) the improvement was 32%, 78% and 9% respectively (p<0.001 only for clinical improvement).Patients in CareRA who achieved sustained remission had an AUC of 15.1, 3.4 and 4.7 in Patient, Clinical and Laboratory scores respectively, compared to 32.3, 10.0, and 7.2 in participants not achieving sustained remission (p<0.001 for all comparisons).Conclusion:Patient, Clinical and Laboratory severity scores improved rapidly over time in patients achieving rapid and sustained disease control. However, overall, Patient burden seemed not to improve to the same extent as Clinical burden. Patient’s unmet needs in terms of pain, fatigue, functionality and overall well-being should thus be given more attention, even in patients in sustained remission.References:[1]Pazmino S,et al.Including Pain, Fatigue and Functionality Regularly in the Assessment of Patients with Early Rheumatoid Arthritis Separately Adds to the Evaluation of Disease Status [abstract]. ACR. 2019.Disclosure of Interests:Sofia Pazmino: None declared, Anikó Lovik: None declared, Annelies Boonen Grant/research support from: AbbVie, Consultant of: Galapagos, Lilly (all paid to the department), Diederik De Cock: None declared, Veerle Stouten: None declared, Johan Joly: None declared, Delphine Bertrand: None declared, Rene Westhovens Grant/research support from: Celltrion Inc, Galapagos, Gilead, Consultant of: Celltrion Inc, Galapagos, Gilead, Speakers bureau: Celltrion Inc, Galapagos, Gilead, Patrick Verschueren Grant/research support from: Pfizer unrestricted chair of early RA research, Speakers bureau: various companies

The Association Between Disease Activity and Duration in Systemic Sclerosis

2010 ◽  
Vol 37 (11) ◽  
pp. 2299-2306 ◽  
Author(s):  
JENNIFER G. WALKER ◽  
RUSSELL J. STEELE ◽  
MIREILLE SCHNITZER ◽  
SUZANNE TAILLEFER ◽  
MURRAY BARON ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Disease Activity ◽  
Disease Duration ◽  
Activity Index ◽  
Disease Onset ◽  
Depression Scale ◽  
Disease Activity Index ◽  
Cross Sectional ◽  
Diffuse Disease ◽  
Patient Reported

Objective.The absence of a standardized disease activity index has been an important barrier in systemic sclerosis (SSc) research. We applied the newly derived Valentini Scleroderma Disease Activity Index (SDAI) among our cohort of patients with SSc to document changes in disease activity over time and to assess possible differences in activity between limited and diffuse disease.Methods.Cross-sectional study of a national cohort of patients enrolled in the Canadian Scleroderma Research Group Registry. Disease activity was measured using the SDAI. Depression scores were measured using the Centre for Epidemiologic Studies Depression Scale (CES-D).Results.A total of 326 out of 639 patients had complete datasets at the time of this analysis; 87% were female, of mean age 55.6 years, with mean disease duration 14.1 years. SDAI declined steeply in the first 5 years after disease onset and patients with diffuse disease had 42% higher SDAI scores than patients with limited disease with the same disease duration and depression scores (standardized relative risk 1.42, 95% CI 1.21, 1.65). Patients with higher CES-D scores had higher SDAI scores relative to patients with the same disease duration and disease subset (standardized RR 1.22, 95% CI 1.14, 1.31). Among the 10 components that make up the SDAI, only skin score (standardized OR 0.59, 95% CI 0.43, 0.82) and patient-reported change in skin (standardized OR 0.64, 95% CI 0.45, 0.92) decreased with increasing disease duration. High skin scores (standardized OR 32.2, 95% CI 15.8, 72.0) were more likely and scleredema (standardized OR 0.58, 95% CI 0.37, 0.92) was less likely to be present in patients with diffuse disease. High depression scores were associated with positive responses for patient-reported changes in skin and cardiopulmonary function.Conclusion.Disease activity declined with time and patients with diffuse disease had consistently higher SDAI scores. Depression was found to be associated with higher patient activity scores and strongly associated with patient self-response questions. The role of depression should be carefully considered in future applications of the SDAI, particularly as several components of the score rely upon patient recall.

scholarly journals Factors Associated with Objectively Measured Physical Activity in Patients with Seropositive Rheumatoid Arthritis

2020 ◽  
Vol 17 (23) ◽  
pp. 9008
Author(s):  
Sandra Haider ◽  
Michael Sedlak ◽  
Ali Kapan ◽  
Igor Grabovac ◽  
Thomas Lamprecht ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Disease Activity ◽  
Work Ability ◽  
Disease Duration ◽  
Smoking Status ◽  
Vigorous Physical Activity ◽  
Moderate Physical Activity ◽  
Cross Sectional ◽  
Functional Disabilities

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease, which is associated with low levels of physical activity (PA). However, the factors related to low physical activity levels have rarely been studied. Methods: In this cross-sectional study, 70 seropositive RA patients were included. Physical activity was objectively assessed with an ActiGraph GT3X+ accelerometer. In addition, body mass index, smoking status, work ability, and clinical parameters (functional disabilities, disease activity, disease duration, pain, and inflammation parameters) were measured. Results: RA patients performed a mean of 215.2 (SD: 136.6) min a week of moderate physical activity and 9.1 (SD: 26.3) min of vigorous physical activity. The total amount of moderate and vigorous physical activity (MVPA) was associated with BMI, and functional disabilities. In addition, non-smokers and patients with better work ability did more MVPA. No association could be seen with disease activity, disease duration, pain, and inflammatory markers. After mutual adjusting of all the variables, only BMI showed a significant relationship with MVPA. Conclusions: RA patients perform de facto no physical activity with vigorous intensity. Factors related to low physical activity are BMI, functional disabilities, workability and smoking status, whereas due to the study design no causal and temporal link could be made.

Evaluation of Selected Rheumatoid Arthritis Activity Scores for Office-based Assessment

2010 ◽  
Vol 37 (12) ◽  
pp. 2466-2468 ◽  
Author(s):  
MARY BETH SULLIVAN ◽  
CHRISTINE IANNACCONE ◽  
JING CUI ◽  
BING LU ◽  
KERRI BATRA ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Disease Duration ◽  
Office Setting ◽  
Reactive Protein ◽  
Patient Reported ◽  
Pairwise Correlations ◽  
Patient Reported Measures ◽  
Rheumatoid Arthritis Activity ◽  
Citrullinated Peptide

Objective.Patient-reported measures can quickly provide assessments of rheumatoid arthritis (RA) disease activity in the office setting and do not require a laboratory test or physician examination. The goal of our study was to establish the validity of patient-reported indices compared to the C-reactive protein-based Disease Activity Score (DAS28-CRP4).Methods.Baseline and 1-year followup DAS28-CRP4 data were obtained from 740 RA subjects and were compared to indices (MDHAQ, CDAI, RAPID, RADAI, GAS) according to cyclic citrullinated peptide (CCP) status and change at 1 year. Pairwise correlations were calculated for each index.Results.Among 740 subjects, mean age 57 years, disease duration 14 years, the CDAI (r = 0.84, Δ r = 0.80) and RAPID (r = 0.71, Δ r = 0.70) had the highest correlation with the DAS28-CRP4 scores at baseline and 1 year. These correlations were not influenced by CCP status, disease-modifying antirheumatic drug use, biologic use, or by disease duration.Conclusion.In RA, the CDAI and RAPID correlated well with the DAS28-CRP4. They may both be practical and informative in the care of patients in the office setting.

scholarly journals Comparative analyses of responsiveness between the Rheumatoid Arthritis Impact of Disease score, other patient-reported outcomes and disease activity measures: secondary analyses from the ARCTIC study

RMD Open ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. e000754 ◽  
Author(s):  
Karen Holten ◽  
Joseph Sexton ◽  
Tore K Kvien ◽  
Anna-Birgitte Aga ◽  
Espen A Haavardsholm
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Inflammatory Markers ◽  
Disease Duration ◽  
Treat To Target ◽  
Patient Reported ◽  
Short Disease Duration ◽  
Activity Measures ◽  
The Mean ◽  
Disease Activity Measures

ObjectiveTo evaluate the responsiveness of the Rheumatoid Arthritis Impact of Disease (RAID) score compared with other patient-reported outcome measures (PROMs), inflammatory markers and clinical disease activity measures in patients with early rheumatoid arthritis (RA).MethodsDisease-modifying antirheumatic drug–naïve patients with RA with short disease duration were included in the treat-to-target ARCTIC trial and followed for 24 months. The responsiveness of the RAID score was evaluated using standardised response mean (SRM) and relative efficiency (RE) with respect to tender joints by Ritchie Articular Index (RAI). SRMs and REs were also calculated for other PROMs, inflammatory markers and clinical outcome measures. An SRM with value above 0.80 was considered high.Results230 patients with RA were included. The mean±SD symptom duration was 7.1±5.4 months and the baseline mean±SD  RAID score was 4.49±2.14. At 3 months of follow-up, the mean±SD change score for RAID was −2.25±1.98  and the SRM (95%  CI) −1.13 (−1.33 to −0.96). The RAID score showed high responsiveness both at 3 and 6 months (SRM≥0.80) and was more sensitive in detecting change than the reference, tender joints assessed by RAI.ConclusionsThe RAID score proved to be highly responsive to change in patients with RA with short disease duration who followed a treat-to-target strategy. The RAID score was more efficient in detecting change than the reference (RAI) as well as most other PROMs.

Sleep Problems in Patients with Rheumatoid Arthritis

2013 ◽  
Vol 41 (1) ◽  
pp. 31-40 ◽  
Author(s):  
René Westhovens ◽  
Kristien Van der Elst ◽  
Ann Matthys ◽  
Michelle Tran ◽  
Isabelle Gilloteau
Keyword(s):  
Rheumatoid Arthritis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Short Form ◽  
Negative Relationship ◽  
Additional Patient ◽  
Equation Modeling ◽  
Patient Reported

Objective.To investigate sleep problems, and the relationship between sleep and disease activity, in Belgian patients with established rheumatoid arthritis (RA).Methods.This cross-sectional, observational, multicenter study assessed sleep quality using the Athens Insomnia Scale (AIS) and Pittsburgh Sleep Quality Index (PSQI), and daytime sleepiness using the Epworth Sleepiness Scale (ESS). Additional patient-reported outcomes included visual analog scales (VAS) for fatigue and pain, the Medical Outcomes Study Short Form-36 Health Survey, the Health Assessment Questionnaire-Disability Index (HAQ-DI), and the Positive and Negative Affect Schedule. Multivariate regression and structural equation modeling identified factors associated with sleep quality, with the 28-joint Disease Activity Score [DAS28-C-reactive protein (CRP)] as a continuous or categorical variable. Analyses were performed on the total population and on patients stratified by disease activity status: remission/low (DAS28-CRP ≤ 3.2) or moderate to high (DAS28-CRP > 3.2).Results.Among 305 patients, mean (SD) age was 57.00 (12.38) years and mean (SD) disease duration was 11.77 (9.94) years. Mean (SD) AIS, PSQI, and ESS scores were 6.8 (4.79), 7.8 (4.30), and 7.3 (4.67), respectively. Mean (SD) VAS fatigue, VAS pain, and HAQ-DI were 45.22 (26.29), 39.04 (26.21), and 1.08 (0.75), respectively. There were significant positive relationships between DAS28-CRP and AIS/PSQI, but a significant negative relationship between DAS28-CRP and ESS. Several potentially confounding factors were identified.Conclusions.Poor control of RA is associated with a reduction in sleep quality and decreased daytime sleepiness, which is likely explained by pain-related alertness. Future prospective studies are needed to confirm potential relationships between sleep quality, sleepiness, and RA treatment.

scholarly journals Personalized Prediction of Disease Activity in Patients with Rheumatoid Arthritis Using an Adaptive Deep Neural Network

2020 ◽  
Author(s):  
Maria Hügle ◽  
Ulrich A Walker ◽  
Axel Finckh ◽  
Ruediger Mueller ◽  
Gabriel Kalweit ◽  
...  
Keyword(s):  
Neural Network ◽  
Rheumatoid Arthritis ◽  
Neural Networks ◽  
Disease Activity ◽  
Deep Neural Networks ◽  
Disease Duration ◽  
Disease Characteristics ◽  
Patient Reported ◽  
Individual Disease ◽  
Active Disease

Background: Rheumatoid arthritis (RA) lacks reliable biomarkers that predict disease evolution on an individual basis, potentially leading to over- and undertreatment. Deep neural networks learn from former experiences on a large scale and can be used to predict future events as a potential tool for personalized clinical assistance. Objective: To investigate deep learning for the prediction of individual disease activity in RA. Methods: Demographic and disease characteristics from over 9500 patients and 65.000 visits from the Swiss Quality Management (SCQM) database were used to train and evaluate an adaptive recurrent neural network (AdaptiveNet). Patient and disease characteristics along with clinical and patient reported outcomes, laboratory values and medication were used as input features. DAS28-BSR was used to predict active disease and future numeric individual disease activity by classification and regression, respectively. Results: AdaptiveNet predicted active disease defined as DAS28-BSR>2.6 at the next visit with an overall accuracy of 75.6% and a sensitivity and specificity of 84.2% and 61.5%, respectively. Regression allowed forecasting individual DAS28-BSR values with a mean squared error of 0.9, corresponding to a variation between predicted and true values at next visit of 8%. Apart from DAS28-BSR, the most influential characteristics to predict disease activity were joint pain, disease duration, age and duration of treatment. Longer disease duration, age >50 years or antibody positivity marginally improved prediction performance. Conclusion: Deep neural networks have the capacity to predict individual numeric disease activity in RA. Low specificity remains challenging and might benefit from alternative input data or outcome targets.

SAT0049 DIFFERENCES BETWEEN EARLY AND ESTABLISHED RHEUMATOID ARTHRITIS IN TIME TO ACHIEVING CDAI BUT NOT FATIGUE LOW DISEASE ACTIVITY AND REMISSION: DATA FROM THE OBRI REGISTRY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 955-956
Author(s):  
J. Pope ◽  
M. Movahedi ◽  
E. Rampakakis ◽  
A. Cesta ◽  
J. Sampalis ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Clinical Care ◽  
Disease State ◽  
Practice Research ◽  
Research Support ◽  
Low Disease Activity ◽  
Early Ra ◽  
Research Initiative ◽  
Patient Reported

Background:Previous studies have shown that early diagnosis and treatment of rheumatoid arthritis (RA) is important for achieving comprehensive disease control and have identified established disease as an independent predictor of worse clinical outcomes. However, it is not clear whether these differences are driven by patient-reported or objective outcome measures.Objectives:The aim of this analysis was to compare the time to achieving low disease activity (LDA) and remission based on both objective and patient-reported outcomes in people with early vs. established RA followed in routine clinical care.Methods:RA patients enrolled in the Ontario Best Practices Research Initiative (OBRI) registry that were not in a low disease state at baseline based on the CDAI, SJC28, PtGA, pain and fatigue criteria below, and had at least six months of follow-up, were included in the analysis. LDA was defined as CDAI≤10, SJC28≤2, TJC28≤2, PtGA≤2cm, pain≤2cm, fatigue≤2cm, and MDGA≤2cm; remission was defined as CDAI≤2.8, SJC28≤1, TJC28≤1, PtGA≤1cm, pain≤1cm, fatigue≤1cm, and MDGA≤1cm. Between group (early vs. established) differences in time to first LDA/remission were assessed with Kaplan-Meier survival analysis and the log-rank test.Results:A total of 986 patients were included, 347 (35%) with early RA and 639 (65%) with established RA. At baseline, patients with early RA were significantly younger (55.8 vs. 58.3 years) and were less likely to have a comorbidity (94.5% vs. 97.5%) or an erosion (26.7% vs. 62.6%), be RF-positive (65.6% vs. 74.2%), use bDMARDs (7.5% vs. 26.6%), and be non-smokers (38.9% vs. 47.3%).Time to achieving LDA based on CDAI (HR [95%CI]: (1.23 [1.07,1.43]), SJC28 (1.32 [1.15,1.51]), TJC28 (1.18 [1.02,1.36]), MDGA (1.28 [1.10,1.49]), PtGA (1.23 [1.05,1.44]), and pain (1.29 [1.09,1.52]) were significantly shorter in early RA compared to established RA. Similarly, time to achieving remission based on CDAI (HR [95%CI]: (1.50 [1.22,1.84]), SJC28 (1.35 [1.17,1.55]), MDGA (1.25 [1.06,1.47]), PtGA (1.22 [1.02,1.47]), and pain (1.37 [1.14,1.65]) were significantly shorter in early RA. However, no differences were observed in time to remission based on TJC28 (1.12 [0.96,1.31]) and either LDA or remission based on fatigue (LDA (1.10 [0.94,1.30]); remission (1.09 [0.92,1.31]).Adjustment for age, gender, presence of comorbidities, and baseline scores did not alter the results.Conclusion:Time to achieving low disease state or remission based on various objective and patient-reported measures is significantly shorter in early compared to established RA with the exception of fatigue.Disclosure of Interests:Janet Pope Grant/research support from: AbbVie, Bristol-Myers Squibb, Eli Lilly & Company, Merck, Roche, Seattle Genetics, UCB, Consultant of: AbbVie, Actelion, Amgen, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Eicos Sciences, Eli Lilly & Company, Emerald, Gilead Sciences, Inc., Janssen, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi, UCB, Speakers bureau: UCB, Mohammad Movahedi Consultant of: Allergan, Emmanouil Rampakakis: None declared, Angela Cesta: None declared, John Sampalis: None declared, Claire Bombardier Grant/research support from: Dr Bombardier reports sources of funding for Ontario Best Practice Research Initiative Research grants from Abbvie, Janssen, Amgen, Medexus, Merck, Pfizer, and Novartis outside of the submitted work. Consulting Agreements: Abbvie, Covance, Janssen, Merck, Pfizer, Sanofi and Novartis outside of the submitted work. Advisory Board Membership: Hospira, Sandoz, Merck, Pfizer and Novartis outside of the submitted work.

scholarly journals Association between vitamin D and fatigue in patients with rheumatoid arthritis: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e034935
Author(s):  
Lars Petter Jelsness-Jørgensen ◽  
Lars Grøvle ◽  
Anne Julsrud Haugen
Keyword(s):  
Rheumatoid Arthritis ◽  
Vitamin D ◽  
Psychological Distress ◽  
Disease Activity ◽  
Cross Sectional Study ◽  
Serum Concentrations ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hydroxyvitamin D ◽  
Liquid Chromatography Tandem Mass

ObjectivesIn rheumatoid arthritis (RA), fatigue is an important complaint with a significant impact on quality of life. Vitamin D has modulatory effects on cells of the immune system and may potentially affect RA disease activity and thereby RA-related fatigue. The purpose of this study was to explore associations between fatigue and vitamin D status in patients with RA.DesignHypothesis-generating cross-sectional study.SettingScheduled follow-up visits at a hospital-based general rheumatology clinic.ParticipantsPatients (n=169) with established RA.Primary outcome measures and anlysesFatigue, assessed by the Chalder fatigue questionnaire, and serum concentrations of 25-hydroxyvitamin D (25(OH)D), assessed by liquid chromatography–tandem mass spectrometry. Associations were analysed by correlation, and multivariate linear regression with adjustments for age, sex, body mass index, RA disease activity as measured by the Disease Activity Score 28-joint count C reactive protein (DAS28-CRP), psychological distress, pain and sleep. Fatigue was also compared across four groups based on the levels of serum 25(OH)D with cut points at 30, 50 and 75 nmol/L using one-way analysis of variance.ResultsTwo-thirds of the patients (116/169, 69%) were classified with low RA disease activity, that is, a DAS28-CRP score below 3.2. Their mean (SD) serum 25(OH)D concentration was 56.3 (21.2) nmol/L, with 77 (45.6%) having values below 50 nmol/L and 12 patients (7.1%) below 30 nmol/L. The correlation between fatigue and serum concentrations of 25(OH)D was weak and not statistically significant, r = −0.14 (95% CI: −0.29 to 0.03, p=0.08). In the multivariate model, fatigue was significantly associated with RA disease activity, psychological distress and pain, but not with serum 25(OH)D. Fatigue did not differ across groups with varying levels of serum 25(OH)D.ConclusionThis cross-sectional study found no evidence of association between vitamin D and fatigue in patients with RA.

scholarly journals Continuous effectiveness and safety after a hospital-wide switch to adalimumab biosimilar: an observational study in rheumatoid arthritis patients

2021 ◽  
Author(s):  
Rianne Brouwer ◽  
Peter M. ten Klooster ◽  
Joost B. Masselink ◽  
Harald E. Vonkeman
Keyword(s):  
Rheumatoid Arthritis ◽  
Side Effects ◽  
Observational Study ◽  
Disease Activity ◽  
Functional Disability ◽  
Activity Levels ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Sf 36 ◽  
Patient Reported

Abstract Objectives Only few observational studies have investigated the actual effectiveness of switching to biosimilars in daily clinical practice in unselected patients. The objective of this study was to examine the maintenance of effect and safety after a hospital-wide switch for economic reasons from adalimumab originator Humira® to biosimilar Amgevita® in real-world rheumatoid arthritis (RA) patients and patient satisfaction with the switch. Methods A single centre retrospective observational study of RA patients on the course of their disease activity (DAS28, ESR and CRP), health-related quality of life (SF-36) and functional disability (HAQ-DI) before and up to one year after the switch, supplemented with a cross-sectional survey on satisfaction and experienced side effects approximately 18 months after the switch. Treatment outcomes were analysed with linear mixed modelling and generalized estimation equations. Results On November 1st 2018, 239 rheumatology patients switched to the adalimumab biosimilar. Of 52 RA patients who met the inclusion criteria sufficient data were available. Disease activity levels, the proportion of patients in remission (DAS28 < 2.6), and SF-36 and HAQ-DI scores did not significantly change from before the switch. 38 of the 52 analysed patients returned the questionnaire. Overall, patients were satisfied with the switch. Three patients (7.9%) stopped the biosimilar due to side effects. Conclusion Switching to the adalimumab biosimilar did not result in increased disease activity or worse patient-reported outcomes over an observation period of 9 to 12 months. Also, there was no apparent evidence of increased side effects. Patients themselves were mostly satisfied with the switching experience.

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