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 AB0211 DIFFERENTIAL INFLUENCE OF CDAI COMPONENTS BASED ON DISEASE STATE IN RHEUMATOID ARTHRITIS PATIENTS: REAL-WORLD RESULTS FROM THE ONTARIO BEST PRACTICES RESEARCH INITIATIVE (OBRI)

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1406.2-1406
Author(s):  
E. Keystone ◽  
M. Movahedi ◽  
A. Cesta ◽  
C. Bombardier ◽  
J. Sampalis ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Best Practices ◽  
Disease Activity ◽  
Global Assessment ◽  
Principal Component ◽  
Disease State ◽  
Research Support ◽  
Low Disease Activity ◽  
Research Initiative

Background:Treat-to-target recommendations for rheumatoid arthritis (RA) dictate that remission or low disease activity should be aimed. Although numerous composite indices are available, the clinical disease activity index (CDAI) is commonly used in routine clinical care due to its simplicity and non-reliance on acute phase reactants.Objectives:The purpose of this analysis was to evaluate the CDAI properties both cross-sectionally and longitudinally in a cohort of RA patients followed in Canadian routine care.Methods:RA patients enrolled in the Ontario Best Practices Research Initiative (OBRI), with available follow-up for ≥6 months and data on CDAI, disease activity score based on 28 joints (DAS28), health assessment questionnaire (HAQ), and ACR/EULAR Boolean remission were included. For both the CDAI score and its change from baseline to 6 months, construct validity was assessed with principal component analysis, internal consistency with the Cronbach’s alpha coefficient (α), correlational validity with the Spearman’s rho coefficient, agreement in disease state classification with percent concordant pairs and the kappa statistic. Stratified analysis by presence of CDAI low disease activity (LDA) or remission was performed.Results:1,582 patients met the inclusion criteria. Principal component analysis showed that CDAI could be reduced to a single component when CDAI is >10 with SJC28 accounting for most variance in score and patient global assessment (PtGA) the least; whereas, when CDAI is ≤10, two distinct components were identified, the first comprising PtGA and physician global assessment (PhGA) and the second SJC28 and TJC28. In terms of internal consistency, high levels were observed for both CDAI at baseline (α=0.83) and its change from baseline to 6 months (α=0.81); however, the consistency between CDAI components was very low when CDAI is ≤10 (α=0.23).Overall, a strong positive correlation was observed between CDAI and DAS28 (rho=0.86) and their changes (rho=0.87) while its correlation with HAQ was weak. When stratifying by CDAI levels, the correlation of CDAI with DAS28 was moderate when CDAI is ≤10 and very weak when CDAI is ≤2.8. Similarly, agreement in the classification of LDA between CDAI and DAS28 or HAQ was fair to moderate, and agreement in classification of remission was poor to fair.Conclusion:CDAI and DAS28 correlate well when disease activity is moderate or high and poorly in LDA or remission. PtGA had a stronger influence on CDAI at LDA or remission state compared to moderate or high disease state. Thus, careful interpretation of PtGA is necessary particularly in patients who are identified as CDAI non-remitters.Disclosure of Interests:Edward Keystone Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, F. Hoffmann-La Roche Inc, Gilead, Janssen Inc, Lilly Pharmaceuticals, Pfizer Pharmaceuticals, Sanofi-Aventis, Consultant of: AbbVie, Amgen, AstraZeneca Pharma, Biotest, Bristol-Myers Squibb Company, Celltrion,Crescendo Bioscience, F. Hoffmann-La Roche Inc, Genentech Inc, Gilead, Janssen Inc, LillyPharmaceuticals, Merck, Pfizer Pharmaceuticals, Sandoz, UCB., Speakers bureau: Amgen, AbbVie, Bristol-Myers Squibb Canada, F. Hoffmann-La Roche Inc., Janssen Inc., Merck, Pfizer Pharmaceuticals, Sanofi Genzyme, UCB, Mohammad Movahedi Consultant of: Allergan, Angela Cesta: 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., John Sampalis: None declared, Emmanouil Rampakakis: 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

scholarly journals AB0330 HIGH REMISSION RATES IN RA – REAL LIFE DATA FROM BARITICINIB

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1463.2-1464
Author(s):  
S. Bayat ◽  
K. Tascilar ◽  
V. Kaufmann ◽  
A. Kleyer ◽  
D. Simon ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Cox Regression ◽  
Real Life ◽  
Inadequate Response ◽  
Research Support ◽  
Das 28 ◽  
Patient Reported ◽  
One Year

Background:Recent developments of targeted treatments such as targeted synthetic DMARDs (tsDMARDs) increase the chances of a sustained low disease activity (LDA) or remission state for patients suffering rheumatoid arthritis (RA). tsDMARDs such as baricitinib, an oral inhibitor of the Janus Kinases (JAK1/JAK2) was recently approved for the treatment of RA with an inadequate response to conventional (cDMARD) and biological (bDMARD) therapy. (1, 2).Objectives:Aim of this study is to analyze the effect of baricitinb on disease activity (DAS28, LDA) in patients with RA in real life, to analyze drug persistance and associate these effects with various baseline characteristics.Methods:All RA patients were seen in our outpatient clinic. If a patient was switched to a baricitinib due to medical reasons, these patients were included in our prospective, observational study which started in April 2017. Clinical scores (SJC/TJC 76/78), composite scores (DAS28), PROs (HAQ-DI; RAID; FACIT), safety parameters (not reported in this abstract) as well as laboratory biomarkers were collected at each visit every three months. Linear mixed effects models for repeated measurements were used to analyze the time course of disease activity, patient reported outcomes and laboratory results. We estimated the probabilities of continued baricitinib treatment and the probabilities of LDA and remission by DAS-28 as well as Boolean remission up to one year using survival analysis and explored their association with disease characteristics using multivariable Cox regression. All patients gave informed consent. The study is approved by the local ethics.Results:95 patients were included and 85 analyzed with available follow-up data until November 2019. Demographics are shown in table 1. Mean follow-up duration after starting baricitinib was 49.3 (28.9) weeks. 51 patients (60%) were on monotherapy. Baricitinib survival (95%CI) was 82% (73% to 91%) at one year. Cumulative number (%probability, 95%CI) of patients that attained DAS-28 LDA at least once up to one year was 67 (92%, 80% to 97%) and the number of patients attaining DAS-28 and Boolean remission were 31 (50%, 34% to 61%) and 12(20%, 9% to 30%) respectively. Median time to DAS-28 LDA was 16 weeks (Figure 1). Cox regression analyses did not show any sufficiently precise association of remission or LDA with age, gender, seropositivity, disease duration, concomitant DMARD use and number of previous bDMARDs. Increasing number of previous bDMARDs was associated with poor baricitinib survival (HR=1.5, 95%CI 1.1 to 2.2) while this association was not robust to adjustment for baseline disease activity. Favorable changes were observed in tender and swollen joint counts, pain-VAS, patient and physician disease assessment scores, RAID, FACIT and the acute phase response.Conclusion:In this prospective observational study, we observed high rates of LDA and DAS-28 remission and significant improvements in disease activity and patient reported outcome measurements over time.References:[1]Keystone EC, Taylor PC, Drescher E, Schlichting DE, Beattie SD, Berclaz PY, et al. Safety and efficacy of baricitinib at 24 weeks in patients with rheumatoid arthritis who have had an inadequate response to methotrexate. Annals of the rheumatic diseases. 2015 Feb;74(2):333-40.[2]Genovese MC, Kremer J, Zamani O, Ludivico C, Krogulec M, Xie L, et al. Baricitinib in Patients with Refractory Rheumatoid Arthritis. The New England journal of medicine. 2016 Mar 31;374(13):1243-52.Figure 1.Cumulative probability of low disease activity or remission under treatment with baricitinib.Disclosure of Interests:Sara Bayat Speakers bureau: Novartis, Koray Tascilar: None declared, Veronica Kaufmann: None declared, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Johannes Knitza Grant/research support from: Research Grant: Novartis, Fabian Hartmann: None declared, Susanne Adam: None declared, Axel Hueber Grant/research support from: Novartis, Lilly, Pfizer, EIT Health, EU-IMI, DFG, Universität Erlangen (EFI), Consultant of: Abbvie, BMS, Celgene, Gilead, GSK, Lilly, Novartis, Speakers bureau: GSK, Lilly, Novartis, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB

scholarly journals OP0211 TIME TO DISCONTINUATION OF TOFACITINIB AND TNF INHIBITORS IN RHEUMATOID ARTHRITIS PATIENTS WITH AND WITHOUT METHOTREXATE: DATA FROM A RHEUMATOID ARTHRITIS COHORT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 131.2-132
Author(s):  
M. Movahedi ◽  
A. Cesta ◽  
X. LI ◽  
E. Keystone ◽  
C. Bombardier
Keyword(s):  
Rheumatoid Arthritis ◽  
Propensity Score ◽  
Best Practice ◽  
Practice Research ◽  
Research Support ◽  
Real World Data ◽  
Kaplan Meier ◽  
Rheumatoid Arthritis Cohort ◽  
Research Initiative ◽  
Significant Difference

Background:Tofacitinib (TOFA) is an oral, small molecule drug used for rheumatoid arthritis (RA) treatment and is prescribed alone or with methotrexate (MTX). Tofa can be used as an alternative to biologic disease modifying antirheumatic drugs (bDMARDs) including tumor necrosis factor inhibitors (TNFi).Objectives:We aimed to evaluate the discontinuation rate of this drug, with and without concurrent MTX in comparison with TNFi, in patients with RA in the Ontario Best Practices Research Initiative (OBRI).Methods:RA patients enrolled in the OBRI initiating their TOFA or TNFi (adalimumab, certolizumab, etancercept, golimumab, and infliximab) within 30 days prior to or any time after enrolment between 1stJune 2014 (TOFA approval date in Canada) and 31stDec 2018 were included. Time to discontinuation (due to any reason) were assessed using Kaplan-Meier survival (adjusted for propensity score using inverse probability of treatment weight) to compare patients with and without MTX use at initiation of TOFA or TNFi.Results:A total of 565 patients initiated TOFA (n=208) or TNFi (n=357). Of those, 106 (51%) and 222 (62%) were treated with MTX in the TOFA and TNFi group, respectively and mean (SD) disease duration were 13.1 (9.4) and 9.5 (9.4) years. In the TOFA group, 86% were female and mean (SD) age at treatment initation was 60.4 (10.6) years. In the TNFi group 82% were female and mean age (SD) at treatment initation was 57.0 (12.6) years. The TOFA group was more likely to have prior biologic use (61.5%) compared with the TNFi group (31%). At treatment initiation, the mean (SD) clinical disease activcity index was 24.8 (12.1) in the TOFA group and 21.8 (12.0) in the TNFi group.Over a mean of 17.3 month follow-up, discontinuation was reported in 75 (36%) and 103 (29%) of all TOFA and TNFi patients, respectively. After adjusting for propensity score, patients treated with TNFi and MTX remained on treatment longer than those treated without MTX (Logrank p=0.002) while there was no significant difference in TOFA discontinuation in patients with and without MTX (Logrank p=0.31).Conclusion:In this real world data study, we found that TOFA retention is similar in patients with and without MTX, while patients treated with TNFi and MTX remained on treatment longer than those treated without MTX. Merging data with other RA registries in Canada is proposed to increase study power and to provide more robust results.Disclosure of Interests:Mohammad Movahedi Consultant of: Allergan, Angela Cesta: None declared, Xiuying Li: None declared, Edward Keystone Grant/research support from: AbbVie; Amgen; Gilead Sciences, Inc; Lilly Pharmaceuticals; Merck; Pfizer Pharmaceuticals; PuraPharm; Sanofi, Consultant of: AbbVie; Amgen; AstraZeneca Pharma; Bristol-Myers Squibb Company; Celltrion; F. Hoffman-La Roche Ltd.; Genentech, Inc; Gilead Sciences, Inc.; Janssen, Inc; Lilly Pharmaceuticals; Merck; Myriad Autoimmune; Pfizer Pharmaceuticals, Sandoz, Sanofi-Genzyme, Samsung Bioepsis., Speakers bureau: AbbVie; Amgen; Bristol-Myers Squibb; Celltrion; F. Hoffman-La Roche Ltd, Janssen, Inc; Merck; Pfizer Pharmaceuticals; Sanofi-Genzyme; UCB, 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.

O24 Concomitant treatment with MTX does not increase the efficacy of ustekinumab or TFNi in PsA: results from the PsABio study

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Stefan Siebert ◽  
Elisa Gremese ◽  
Paul Bergmans ◽  
Kurt de Vlam ◽  
Beatriz Joven-Ibáñez ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
Disease Activity ◽  
Real World ◽  
Concomitant Treatment ◽  
Skin Involvement ◽  
Research Support ◽  
Real World Data ◽  
Low Disease Activity ◽  
Intention To Treat ◽  
Patient Reported

Abstract Background The additional benefit of methotrexate (MTX) as a concomitant treatment in PsA has not been fully elucidated for TNF inhibitors (TNFi) and no real-world data on this currently exist for ustekinumab (UST). We investigated the additive effect of MTX on the ability to reach composite treatment targets beyond monotherapy with UST or TNFi, and the ability to improve patient-reported outcomes in a real-world clinical setting in 8 European countries. Methods The PsABio study (NCT02627768) evaluates persistence, effectiveness and tolerability of 1st, 2nd or 3rd-line UST or TNFi in patients with PsA. Proportions of patients reaching minimal disease activity (MDA)/very low disease activity (VLDA) and clinical Disease Activity in Psoriatic Arthritis (cDAPSA) low disease activity (LDA) or remission, as well as the patient acceptable symptom state (PASS; score ≤4) of the 12-item Psoriatic Arthritis Impact of Disease questionnaire (PsAID-12) were evaluated. Here we present 6-month follow-up data using intention to treat (ITT) analysis; patients who stopped/switched initial treatment were imputed as non-responders. The effect of MTX co-therapy was investigated within UST and TNFi cohorts, as well as between the cohorts, using multivariate logistic regression including interaction terms, and propensity score (PS) analysis to adjust for imbalanced, potentially prognostic, baseline covariates. Results Of 930 patients, data was available for 868 ITT patients, including patients who switched/stopped before 6 months (UST: n = 28/426 [6.6%], TNFi: n = 44/442 [10.0%]). At baseline there were no relevant differences in demographics and disease activity, however there were significant differences in skin involvement as well as csDMARD and NSAID exposure. Co-therapy with MTX did not increase the likelihood of achieving any of the outcomes in either the UST or TNFi cohorts (Table 1). After PS adjustment, co-treatment with MTX did not influence treatment effects differently when added to UST compared with TNFi. concomitant use of csDMARDs other than MTX yielded very similar results. Conclusion In a real-world setting, concomitant treatment with MTX in addition to UST or TNFi was not associated with enhanced effects across a broad variety of disease outcomes, including disease activity, disease impact, and skin involvement within or between treatment cohorts, after PS adjustment for baseline confounders. Disclosures S. Siebert: Consultancies; AbbVie, UCB, Pfizer, Janssen, Boehringer Ingelheim, Celgene, Novartis. Grants/research support; Pfizer, Janssen, BMS, Celgene, UCB, Boehringer Ingelheim. E. Gremese: Consultancies; AbbVie, BMS, Celgene, Janssen, Lilly, MSD, Novartis, Sanofi, UCB, Roche, Pfizer. P. Bergmans: Shareholder/stock ownership; Johnson & Johnson. Other; Employee of Janssen. K. de Vlam: Consultancies; Johnson & Johnson. B. Joven-Ibáñez: Member of speakers’ bureau; Celgene, Novartis, MSD, Pfizer, AbbVie, Janssen. G. Katsifis: None. T.V. Korotaeva: Consultancies; Pfizer, MSD, Novartis, AbbVie, Celgene, Biocad, Janssen, UCB, Lilly, Novartis-Sandoz. W. Noël: Other; Employee of Janssen. C. Selmi: None. P.P. Sfikakis: None. P. Smirnov: Other; Employee of Janssen. E. Theander: Other; Employee of Janssen. M.T. Nurmohamed: Grants/research support; Pfizer, AbbVie, Roche, BMS, MSD, Mundipharma, UCB, Janssen, Menarini, Lilly, Sanofi, Celgene. L. Gossec: Honoraria; AbbVie, Celgene, Janssen, Lilly, Novartis-Sandoz, Pfizer, Sanofi, UCB. Grants/research support; Pfizer. J.S. Smolen: Consultancies; AbbVie, Amgen, AstraZeneca, Astro, Celgene, Celtrion, GlaxoSmithKline, ILTOO Pharma, Janssen, Lilly, Medimmune, MSD, Novartis-Sandoz, Pfizer, Roche, Samsung, Sanofi, UCB. Grants/research support; AbbVie, Janssen, Lilly, MSD, Pfizer, Roche.

scholarly journals Clinical Response Within 12 Weeks as a Predictor of Future Low Disease Activity in Patients with Early RA: Results from the TEAR Trial

2013 ◽  
Vol 40 (5) ◽  
pp. 572-578 ◽  
Author(s):  
Jeffrey R. Curtis ◽  
Theresa McVie ◽  
Ted R. Mikuls ◽  
Richard J. Reynolds ◽  
Iris Navarro-Millán ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Clinical Response ◽  
Model Building ◽  
Prediction Models ◽  
Characteristic Curve ◽  
Prediction Rule ◽  
Low Disease Activity ◽  
Derivation Cohort ◽  
Early Ra

Objective.Rapidly predicting future outcomes based on short-term clinical response would be helpful to optimize rheumatoid arthritis (RA) management in early disease. Our aim was to derive and validate a clinical prediction rule to predict low disease activity (LDA) at 1 year among patients participating in the Treatment of Early Aggressive Rheumatoid Arthritis (TEAR) trial escalating RA therapy by adding either etanercept or sulfasalazine + hydroxychloroquine [triple therapy (TT)] after 6 months of methotrexate (MTX) therapy.Methods.Eligible subjects included in the derivation cohort (used for model building, n = 186) were participants with moderate or higher disease activity [Disease Activity Score 28-erythrocyte sedimentation rate (DAS-ESR) > 3.2] despite 24 weeks of MTX monotherapy who added either etanercept or sulfasalazine + hydroxychloroquine. Clinical characteristics measured within the next 12 weeks were used to predict LDA 1 year later using multivariable logistic regression. Validation was performed in the cohort of TEAR patients randomized to initially receive either MTX + etanercept or TT.Results.The derivation cohort yielded 3 prediction models of varying complexity that included age, DAS28 at various timepoints, body mass index, and ESR (area under the receiver-operator characteristic curve up to 0.83). Accuracy of the prediction models ranged between 80% and 95% in both derivation and validation cohorts, depending on the complexity of the model and the cutpoints chosen for response and nonresponse. About 80% of patients could be predicted to be responders or nonresponders at Week 12.Conclusion.Clinical data collected early after starting or escalating disease-modifying antirheumatic drug/biologic treatment could accurately predict LDA at 1 year in patients with early RA. For patients predicted to be nonresponders, treatment could be changed at 12 weeks to optimize outcomes.

scholarly journals Limiting factors to Boolean remission differ between autoantibody-positive and -negative patients in early rheumatoid arthritis

2021 ◽  
Vol 13 ◽  
pp. 1759720X2110118
Author(s):  
Serena Bugatti ◽  
Ludovico De Stefano ◽  
Antonio Manzo ◽  
Garifallia Sakellariou ◽  
Blerina Xoxi ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Limiting Factors ◽  
Limiting Factor ◽  
Low Disease Activity ◽  
Early Ra ◽  
Full Remission ◽  
Autoantibody Profile ◽  
Autoantibody Status ◽  
Initiation Of Therapy

Background: The patient global assessment of disease activity (PGA) is the major limiting factor to Boolean remission in patients with established rheumatoid arthritis (RA). Here, we investigated the limiting variables to disease remission in patients with early RA treated with conventional synthetic disease modifying anti-rheumatic drugs, also in relation to autoantibody status. Methods: Data were retrieved from 535 early RA patients (<12 months of symptoms) with an observation period of 6–12 months upon initiation of therapy with methotrexate aimed at the achievement of low disease activity based on the 28-joints disease activity score. Near-remission was defined as any of the four core items of Boolean remission >1 with the remaining three all ⩽1. Reasons for missing Boolean remission and predictors of near-remission subcategories were analyzed in relation to baseline disease variables. Results: After 6 and 12 months, near-remission was two-times more frequent than Boolean remission (25.6% and 26.9% at the two time-points). A 28-swollen joint count (SJC28) >1 was responsible for the majority of near-remission (56.2% and 57.6% at 6 and 12 months, respectively), and PGA > 1 accounted for approximatively 35% of the cases. Autoantibody-positivity independently predicted the risk of missing remission because of SJC28 > 1 [adjusted odds ratio (OR) 95% confidence interval (CI) 2.81 (1.59–4.9) at 6 months and 1.73 (1.01–3.01) at 12 months], whilst autoantibody-negativity was an independent predictor of PGA near-remission [adjusted OR (95% CI) 2.45 (1.25–4.80) at 6 months and 5.71 (2.47–13.2) at 12 months]. Conclusion: In early RA, Boolean remission is more frequently missed because of persistent swollen joints. However, barriers to full-remission vary in relation to the autoantibody status. Autoantibody-positive patients more commonly experience residual swollen joints, whilst PGA more frequently impairs remission in autoantibody-negative patients. Efforts to target full-remission in early RA may thus require different strategies according to autoantibody profile.

scholarly journals AB0213 THE USE OF MUSCULOSKELETAL ULTRASOUND AND PATIENT REPORTED OUTCOMES TO IDENTIFY THE FACTOR TO GIVE RESIDUAL SYMPTOMS AMONG PATIENTS WITH RHEUMATOID ARTHRITIS IN SDAI-REMISSION OR LOW DISEASE ACTIVITY.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1407.1-1407
Author(s):  
M. Nawata ◽  
M. Funada ◽  
Y. Fujita ◽  
A. Nagayasu ◽  
K. Someya ◽  
...  
Keyword(s):  
Disease Activity ◽  
Patient Reported Outcomes ◽  
Single Variable ◽  
Research Support ◽  
Low Disease Activity ◽  
Residual Symptoms ◽  
Significant Difference ◽  
Patient Reported ◽  
Stratified Analysis ◽  
Variable Analysis

Background:The goal of treatment in rheumatoid arthritis (RA) is to achieve remission. There is the patient with residual symptoms in the Japanese RA patient who achieved clinical remission. There are not many studies to examine the relation between everyday life, social activity and evaluation of disease activities using musculoskeletal ultrasound (MSKUS).Objectives:To identify the factor to give residual symptoms of RA patients in SDAI-remission (REM) or low disease activity (LDA), using MSKUS.Methods:300 patients were enrolled. The synovitis evaluated gray scale (GS) and power doppler (PD) with 22 both hands joints by MSKUS. We evaluated age, sex, the number of tender joint (TJ) and swelling joint (SJ), the serologic characteristics (CRP, ESR, CCP, RF, MMP-3), Patient Reported Outcomes (PROs) (morning stiffness (MS), pain-VAS, fatigue-VAS), HAQ and EQ5D-5L.Results:(1). Stratified analysis was performed between HAD/MDA group (N=106) and LDA/REM group (N=194). As a result of single variable analysis, many factors were extracted with significant difference. As a result of the multivariate analysis, MTX dose, number of TJ and SJ, MS, fatigue-VAS, HAQ, EQ5D-5L, and GS≧2 were extracted with a dominant difference. (2). For the stratified analysis in GS≧2, the ratio was low, and the disease duration was short significantly in the LDA/REM group. (3). Next, stratified analysis was performed between Low group (N=95) and REM group (N=99). As a result of single variable analysis, number of TJ and SJ, MTX dose, HAQ, EQ5D-5L, MS, pain-VAS, fatigue-VAS, EGA, GS≧1, GS≧2, GS total score, PD≧1 and PD total score were extracted with significant difference. As a result of the multivariate analysis, number of TJ and fatigue-VAS were extracted with a dominant difference.Conclusion:(1). It became clear that the factor which participated in the achievement with SDAI-remission or low disease activity was enough quantity of MTX dose, use of b/t DMARD, US-GS level, residual symptoms (lassitude · pain joint) to be caused by RA. Particularly, the ratio of GS≧2 was low, and the disease was short. (2). In the LDA patients (who do not achieve clinical remission), they had residual symptoms (fatigue and TJ). (3). In the REM patients, remaining inflammation was not seen in MSKUS. The conclusion is that the induction of remission is important from the viewpoint of not only the prevention of joint destruction but also improvement and maintenance of long-term QoL.Disclosure of Interests:MASAO NAWATA Grant/research support from: Eli Lilly Japan K.K., Masashi funada: None declared, YUYA FUJITA: None declared, Atsushi Nagayasu: None declared, Kazuki Someya: None declared, SAITO KAZUYOSHI: None declared, Yoshiya Tanaka Grant/research support from: Asahi-kasei, Astellas, Mitsubishi-Tanabe, Chugai, Takeda, Sanofi, Bristol-Myers, UCB, Daiichi-Sankyo, Eisai, Pfizer, and Ono, Consultant of: Abbvie, Astellas, Bristol-Myers Squibb, Eli Lilly, Pfizer, Speakers bureau: Daiichi-Sankyo, Astellas, Chugai, Eli Lilly, Pfizer, AbbVie, YL Biologics, Bristol-Myers, Takeda, Mitsubishi-Tanabe, Novartis, Eisai, Janssen, Sanofi, UCB, and Teijin

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