FRI0362 COMPARATIVE EFFECTIVENESS OF USTEKINUMAB (UST) AND TNF INHIBITORS (TNFI) IN PATIENTS WITH PSORIATIC ARTHRITIS (PSA) IN THE REAL-WORLD, MULTINATIONAL PSABIO STUDY: 12-MONTH FOLLOW-UP

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 778-779
Author(s):  
J. S. Smolen ◽  
S. Siebert ◽  
T. Korotaeva ◽  
P. Bergmans ◽  
K. De Vlam ◽  
...  

Background:Among treatment options for PsA, IL-12/23 inhibition with UST was the first new biologic mode of action after TNFi. Few real-world data comparing UST with TNFi are available.Objectives:Comparison of UST and TNFi treatment effectiveness within the prospectively followed PsABio cohort at 12-month (mo) follow-up.Methods:The PsABio study (NCT02627768) evaluates effectiveness, tolerability and persistence of 1st, 2nd or 3rd-line UST or TNFi in PsA. Proportions of patients (pts) reaching MDA/very low disease activity (VLDA) and clinical Disease Activity index for PSoriatic Arthritis (cDAPSA) LDA/remission are described. Comparison across UST and TNFi cohorts was done on last observation carried forward up to 12 (±3) mo, with non-response imputation for pts who had stopped/switched initial treatment. Logistic regression analysis was used, including propensity score (PS) analysis to adjust for imbalanced prognostic baseline (BL) covariates: country, age, sex, BMI, smoking (yes/no), comorbidities (cardiovascular/metabolic syndrome), PsA type (axial, polyarticular, oligoarticular), psoriasis body surface area (BSA), disease duration, cDAPSA, 12-item PsA Impact of Disease (PsAID-12), dactylitis, enthesitis, Fibromyalgia Rapid Screening Tool (FiRST) score, line of biologic (b)DMARD, synthetic DMARD use, and steroid or NSAID use.Results:Of 929 eligible pts, 893 had evaluable data at BL and at follow-up; 438 (95.6%) were treated with UST and 455 (96.6%) with TNFi (including stoppers/switchers). UST and TNFi groups had BL differences in mean age (51.0 vs 48.5 years, respectively), concurrent comorbidities (68.7% vs 60.9%), time since diagnosis (7.5 vs 6.2 years), line of treatment (1st-line 45.0% vs 55.2%; 3rd-line 20.5% vs 12.1%), NSAID use (54.8% vs 68.8%), concomitant MTX use (29.9% vs 42.0%) and psoriasis skin involvement (BSA >10% in 26.6% vs 14.8%).In 714 pts with available data, mean (standard deviation) BL cDAPSA was 30.6 (20.2; n=358) for UST and 29.3 (18.6; n=356) for TNFi. Observed data showed differences in proportion of pts achieving MDA/VLDA and cDAPSA LDA/remission in favour of TNFi, but after PS adjustment for BL differences (such as line of therapy, skin psoriasis, concomitant conventional DMARD, etc.), odds ratios for reaching targets at 12 mo did not significantly differ between UST and TNFi groups (Fig. 1).Comparison of 6- and 12-mo unadjusted data showed sustained MDA/VLDA responses with both UST (21.8%) and TNFi (29.5%), with comparable proportions of additional pts achieving these targets between 6 and 12 mo (17.0% and 20.3%, respectively). Sustained efficacy became lower with successive lines of treatment (data not shown).Conclusion:Various factors, including patient characteristics such as comorbidities, influence the physician’s selection of treatment modality for patients needing a bDMARD. Our real-world results demonstrate differences in observed clinical effectiveness between UST and TNFi. However, after PS adjustment for a number of BL differences, clinical results at 12 mo were comparable between UST and TNFi groups. Data at 12 mo also show sustained response with both UST and TNFi treatment, as well as a similar rate of pts achieving targets after 6 to 12 mo of treatment.Acknowledgments:This study was funded by Janssen.Disclosure of Interests:Josef S. Smolen Grant/research support from: AbbVie, AstraZeneca, Celgene, Celltrion, Chugai, Eli Lilly, Gilead, ILTOO, Janssen, Novartis-Sandoz, Pfizer Inc, Samsung, Sanofi, Consultant of: AbbVie, AstraZeneca, Celgene, Celltrion, Chugai, Eli Lilly, Gilead, ILTOO, Janssen, Novartis-Sandoz, Pfizer Inc, Samsung, Sanofi, Stefan Siebert Grant/research support from: BMS, Boehringer Ingelheim, Celgene, GlaxoSmithKline, Janssen, Novartis, Pfizer, UCB, Consultant of: AbbVie, Boehringer Ingelheim, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Celgene, Janssen, Novartis, Tatiana Korotaeva Grant/research support from: Pfizer, Consultant of: Abbvie, BIOCAD, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Novartis-Sandoz, Pfizer, UCB, Speakers bureau: Abbvie, BIOCAD, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Novartis-Sandoz, Pfizer, UCB, Paul Bergmans Shareholder of: Johnson & Johnson, Employee of: Janssen, Kurt de Vlam Consultant of: Celgene Corporation, Eli Lilly, Novartis, Pfizer, UCB – consultant, Speakers bureau: Celgene Corporation, Eli Lilly, Novartis, Pfizer, UCB – speakers bureau and honoraria, Elisa Gremese Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Sanofi, UCB, Roche, Pfizer, Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck Sharp & Dohme, Novartis, Sanofi, UCB, Roche, Pfizer, Beatriz Joven-Ibáñez Speakers bureau: Abbvie, Celgene, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Wim Noel Employee of: Janssen Pharmaceuticals NV, Michael T Nurmohamed Grant/research support from: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Consultant of: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Speakers bureau: Abbvie, Bristol-Myers Squibb, Celltrion, GlaxoSmithKline, Jansen, Eli Lilly, Menarini, Merck Sharp & Dohme, Mundipharma, Pfizer, Roche, Sanofi, USB, Petros Sfikakis Grant/research support from: Grant/research support from Abvie, Novartis, MSD, Actelion, Amgen, Pfizer, Janssen Pharmaceutical, UCB, Elke Theander Employee of: Janssen-Cilag Sweden AB, Laure Gossec Grant/research support from: Lilly, Mylan, Pfizer, Sandoz, Consultant of: AbbVie, Amgen, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sandoz, Sanofi-Aventis, UCB

Rheumatology ◽  
2018 ◽  
Vol 58 (5) ◽  
pp. 869-873 ◽  
Author(s):  
Sravan Kumar Appani ◽  
Phani Kumar Devarasetti ◽  
Rajendra Vara Prasad Irlapati ◽  
Liza Rajasekhar

Abstract Objective Despite the widespread clinical use of MTX in PsA, data from published randomized controlled studies suggest limited efficacy. The objective of the present study was to document the efficacy of MTX. Methods This was an open-label, prospective study of patients satisfying the ClASsification criteria for Psoriatic ARthritis study (CASPAR) criteria for PsA who received MTX in doses of ⩾15 mg/week throughout the follow-up period of 9 months. Disease activity was assessed across various domains by tender and swollen joint count, physician and patient global assessment, DAS-28 ESR, Clinical Disease Activity Index for PsA (cDAPSA), Leeds Dactylitis Instrument basic, Leeds Enthesitis Index (LEI), Psoriasis Area and Severity Index (PASI), Minimal Disease Activity and HAQ (CRD Pune version) at baseline and at 3, 6 and 9 months of follow-up. Response to therapy was assessed by EULAR DAS28 ESR, Disease Activity Index for PsA (cDAPSA) response, HAQ response and PASI75. MTX dose escalation and the use of combination DMARDS were dictated by disease activity. Results A total of 73 patients were included, with mean (s.d.) age 44 (9.7) years. The mean (s.d.) dose of MTX used was 17.5 (3.8) mg/week. Seven patients received additional DMARDS (LEF/SSZ). At the end of 9 months, significant improvement (P < 0.05) was noted in the tender joint count, swollen joint count, global activity, DAS-28ESR, cDAPSA, Leeds Dactylitis Index basic, LEI, PASI and HAQ. Major cDAPSA response was achieved in 58.9% of patients. EULAR DAS28 moderate and good response was achieved in 74% and 6.8% of patients, respectively. Minimal Disease Activity was achieved in 63% of patients. A PASI75 response and HAQ response was achieved in 67.9% and 65.8% of patients, respectively. Conclusion MTX initiated at ⩾15 mg/week with targeted escalation resulted in significant improvement in the skin, joint, dactylitis, enthesitis and functional domains of PsA.


Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Stefan Siebert ◽  
Elisa Gremese ◽  
Paul Bergmans ◽  
Kurt de Vlam ◽  
Beatriz Joven-Ibáñez ◽  
...  

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Fausto Salaffi ◽  
Alessandro Ciapetti ◽  
Marina Carotti ◽  
Stefania Gasparini ◽  
Marwin Gutierrez

Objective. To compare, “in a real world,” the performance of the most common composite activity indices in a cohort of PsA patients.Methods. A total of 171 PsA patients were involved. The following variables were evaluated: peripheral joint assessment, patient reported of pain, physician and patient assessments of disease activity, patient general health status, dactylitis digit count, Leeds Enthesitis Index, Health Assessment Questionnaire (HAQ), physical and mental component summary score of the Medical Outcome Survey (SF-36), Psoriasis Area and Severity Index (PASI), Dermatology Life Quality Index, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). To measure the disease activity, the Disease Activity Score (DAS28-ESR and DAS28-CRP), Simple Disease Activity Index (SDAI), Composite Psoriatic Disease Activity Index (CPDAI), disease activity in psoriatic arthritis (DAPSA), and Psoriatic Arthritis Disease Activity Score (PASDAS) have been calculated. The criteria for minimal disease activity (MDA) and remission were applied as external criterion.Results. The ROC were similar in all the composite measures. Only the CPDAI showed less discriminative ability. There was a high degree of correlation between all the indices (P<0.0001). The highest correlations were between DAPSA and SDAI (rho = 0.996) and between DAPSA and DAS28-CRP (rho = 0.957). CPDAI, DAPSA, and PASDAS had the most stringent definitions of remission and MDA category. DAS28-ESR and DAS28-CRP had the highest proportions in remission and MDA.Conclusions. Although a good concurrent validity and discriminant capacity of six disease activity indices were observed, the proportions of patients classified in the disease activity levels differed. In particular, the rate of patients in remission was clearly different among the respective indices.


Rheumatology ◽  
2019 ◽  
Vol 58 (12) ◽  
pp. 2212-2220 ◽  
Author(s):  
Philipp Bosch ◽  
Rusmir Husic ◽  
Anja Ficjan ◽  
Judith Gretler ◽  
Angelika Lackner ◽  
...  

Abstract Objective To evaluate low disease activity (LDA) cut-offs in psoriatic arthritis (PsA) using ultrasound. Methods Eighty-three PsA patients underwent clinical and ultrasound examinations at two visits. LDA was assessed using the Disease Activity index for Psoriatic Arthritis (DAPSA ⩽ 14), the Psoriatic ArthritiS Disease Activity Score (PASDAS ⩽ 3.2), the Composite Psoriatic Disease Activity Index ⩽ 4, the DAS28-CRP ⩽ 2.8 and the minimal disease activity criteria. Ultrasound was performed at 68 joints and 14 entheses. Minimal ultrasound disease activity (MUDA-j/e) was defined as a Power Doppler score ⩽ 1, respectively at joints, paratendinous tissue, tendons and entheses. A global ultrasound score was calculated by summing Grey Scale and Power Doppler information (GUIS-j/e). Results LDA was present in 33.7–65.0% at baseline and in 44.3–80.6% at follow-up, depending on the criteria used. MUDA-j/e was observed in 16.9% at baseline and in 30% at follow-up. GUIS-j/e was significantly higher in patients with moderate/high disease activity vs LDA according to DAPSA and PASDAS at baseline and DAPSA, PASDAS, Composite Psoriatic Disease Activity Index and minimal disease activity at follow-up. Patients in moderate/high disease activity had MUDA-j/e in 8.1–21.4% at baseline and in 8.3–20.0% at follow-up, depending on the applied clinical composite. MUDA-j/e patients with moderate/high disease activity had higher levels of pain and pain-related items than those with LDA. Conclusion The LDA cut-offs of DAPSA, PASDAS, Composite Psoriatic Disease Activity Index, minimal disease activity, but not DAS28-CRP are capable of distinguishing between high and low ultrasound activity. Pain and pain-related items are the main reason why PsA patients without signs of ultrasound inflammation are classified with higher disease activity.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1711.1-1711
Author(s):  
E. Riechers ◽  
U. Kiltz ◽  
J. Brandt-Juergens ◽  
P. Kästner ◽  
D. Peterlik ◽  
...  

Background:Several studies have shown a negative association between smoking status and psoriatic arthritis (PsA) clinical outcomes.1,2The German non-interventional study AQUILA provides real-world data on the influence of smoking on therapeutic effectiveness and safety issues under secukinumab (SEC), a fully human monoclonal antibody that selectively inhibits interleukin-17A.Objectives:The aim of this interim analysis is to describe selected baseline (BL) demographics, to evaluate SEC effectiveness on disease activity and depressive mood and to report the safety profile depending on smoking status of PsA patients.Methods:AQUILA is an ongoing, multi-center study including up to 2700 patients with active PsA or ankylosing spondylitis. Patients were observed from BL up to week (w) 52. Real-world data was assessed prospectively and analyzed as observed. In addition to the assessment of C-reactive protein (CRP), data was collected on patient´s disease activity (tender/swollen joint counts, TJC/SJC), skin disease activity (Psoriasis Area and Severity Index, PASI) and depressive mood (Beck´s Depression Inventory version II, BDI-II). For calculation of the proportion of patients who experienced (serious) adverse events ((S)AEs), all PsA patients were included who received at least one dose of SEC irrespective of further documentation of any study visit. This interim analysis focuses on subgroups non-smoker (NS) and smoker (S).Results:At BL, 641 PsA patients were included: 49.8% (n=319) non-smokers (NS) and 24.3% (n=156) smokers (S). 17.5% (n=112) were ex-smoker and 8.4% (n=54) of unknown smoking status. In both, NS and S, the proportion of women was higher (58.0% in NS and 67.3% in S). NS were slightly older than S (mean age: 53.8/49.7 years). There were no significant differences between NS and S in mean CRP within the 52 weeks (Fig. 1A). Both TJC and SJC improved over time and were similar between NS and S (Fig. 1B). Although mean absolute PASI value was worse in S at BL, a similar temporal improvement was seen in both groups (NS: 7.0 at BL to 1.0 at w52; S: 9.2 at BL to 1.0 at w52). BDI-II scores decreased in both groups with overall higher values in S (NS: 10.9 at BL to 9.1 at w52; S: 12.8 at BL and 10.8 at w52). Regarding the occurrence of AEs and SAEs with or without suspected relationship to SEC, NS had percentagewise less events than S (Table 1). In addition, percentage of PsA patients who discontinued SEC treatment due to an AE was lower for NS compared to S.Table 1.Overview of AEs (and SAEs) under SEC treatment depending on smoking status in PsA patientsNumber of patients withNS (N=333), n (%)S (N=161),n (%)P valueAE233 (70.0)118 (73.3)0.11AE with suspected relationship to SEC129 (38.7)72 (44.7)0.10SAE74 (22.2)45 (28.0)0.06SAE with suspected relationship to SEC29 (8.7)18 (11.2)0.37Figure 1.Disease activity in PsA patients treated with SEC depending on the smoking status**CRP data/ACR joint counts were documented not for all PsA patients at BL and subsequent visits.Conclusion:In a real-world setting, SEC improved disease activity and depressive mood of PsA patients with no obvious differences between NS and S. Overall, this interim analysis shows that SEC is an effective and reliable treatment, irrespective of the PsA patients’ smoking status. Further progress of the AQUILA study as well as long-term data from other real-world observational studies with SEC, such as SERENA, will reveal whether this trend will continue.References:[1]Hojgaard P et al, Ann Rheum Dis 2015; 74:2130-6; 2. Eder L et al, Arthritis Care Res 2011 Aug; 63:1091-7Disclosure of Interests:Elke Riechers Grant/research support from: AbbVie, Chugai, Lilly, Janssen, Novartis, Pfizer, Roche, UCB, Consultant of: AbbVie, Chugai, Novartis, UCB, Uta Kiltz Grant/research support from: AbbVie, Amgen, Biogen, Novartis, Pfizer, Consultant of: AbbVie, Biocad, Eli Lilly and Company, Grünenthal, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, MSD, Novartis, Pfizer, Roche, UCB, Jan Brandt-Juergens: None declared, Peter Kästner Consultant of: Chugai, Novartis, Daniel Peterlik Employee of: Novartis Pharma GmbH, Hans-Peter Tony Consultant of: AbbVie, Astra-Zeneca, BMS, Chugai, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, Sanofi


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 452.1-452
Author(s):  
M. Movahedi ◽  
A. Cesta ◽  
X. Li ◽  
E. Keystone ◽  
C. Bombardier

Background:Tofacitinib (TOFA) is an oral, small molecule drug used for rheumatoid arthritis (RA) treatment as an alternative option to biologic disease modifying antirheumatic drugs (bDMARDs) including tumor necrosis factor inhibitors (TNFi).Objectives:We aimed to evaluate physician and patient reported effectivness outcomes in TNFi compared to TOFA, using real-world data from the Ontario Best Practices Research Initiative (OBRI).Methods:RA patients enrolled in the OBRI initiating their TOFA or TNFi (Adalimumab, Certolizumab, Etanercept, Golimumab, Infliximab, and Biosimilars) between 1st June 2014 (TOFA approval date in Canada) and 31st Dec 2019 were included. Patients were required to have physician and patient reported effectivness outcomes data available at treatment initiation and 6-month (± 2 months) follow-up. These included clinical disease activity index (CDAI), rheumatoid arthritis disease activity index (RADAI), HAQ-DI, sleep problem, and anxiety/depression scores. Multiple imputation (Imputation Chained Equation, N=20) was used to deal with missing data for covaraites at treatment initiation. To deal with confounding by indication, we estimated propensity scores for covariates with an absolute standard difference greater than 0.1 between the two treatment groups.Results:A total of 419 patients were included. Of those, 226 were initiating a TNFi and 193 TOFA, and had a mean (SD) disease duration of 8.0 (8.7) and 12.6 (9.6) years, respectively. In the TNFi group, 81.9% were female and mean age (SD) at treatment initiation was 56.6 (13.4) years. In the TOFA group, 85% were female and mean (SD) age at treatment initiation was 60.3 (11.2) years. The TNFi group was less likely to have prior biologic use (21.7%) compared to the TOFA group (67.9%). At treatment initiation, physical function measured by HAQ-DI was significantly lower in TNFi compared to the TOFA group (1.2 vs.1.4).The rate of CDAI LDA/remission at 6 months was 36.7% and 33.2% in TNFi and TOFA group, respectively. The generalized linear mixed models (GLMM) adjusting for propensity score quantile, showed that there was no significant difference in CDAI LDA/remission (ORs: 0.85, 95% CI: 0.51, 1.43), RADAI (coefficient: 0.48, 95% CI: -0.18, 1.14), HAQ-DI (coefficient: -0.01, 95% CI: -0.18, 0.16), sleep problems (coefficient: -0.25, 95% CI: -0.95, 0.45), and anxiety/depression scores (coefficient: 0.12, 95% CI: -0.35, 0.58) between the two treatment groups (TOFA used as reference).Conclusion:In this real-world data study, we found that, physician and patient reported effectivness outcomes are similar in the TNFi and TOFA groups 6 months after treatment initiation in patients with RA.Disclosure of Interests:Mohammad Movahedi: None declared, Angela Cesta: None declared, Xiuying Li: None declared, Edward Keystone Grant/research support from: Amgen, Merck, Pfizer Pharmaceuticals, PuraPharm. Speaker Honoraria Agreements: AbbVie, Amgen, Bristol-Myers Squibb Company, Celltrion, Myriad Autoimmune, F. Hoffmann-La Roche Inc, Gilead, Janssen Inc, Lilly Pharmaceuticals, Merck, Pfizer Pharmaceuticals, Sandoz, Sanofi-Genzyme, Samsung Bioepsis. Consulting Agreements/Advisory Board Membership: AbbVie, Amgen, Bristol-Myers Squibb Company, Celltrion, Myriad Autoimmune, F. Hoffmann-La Roche Inc, Gilead, Janssen Inc, Lilly Pharmaceuticals, Merck, Pfizer Pharmaceuticals, Sandoz, Sanofi-Genzyme, Samsung Bioepsis, Claire Bombardier Grant/research support from: OBRI was funded by peer reviewed grants from CIHR (Canadian Institute for Health Research), Ontario Ministry of Health and Long-Term Care (MOHLTC), Canadian Arthritis Network (CAN) and unrestricted grants from: Abbvie, Amgen, Aurora, Bristol-Meyers Squibb, Celgene, Hospira, Janssen, Lilly, Medexus, Merck, Novartis, Pfizer, Roche, Sanofi, & UCB. Dr. Bombardier held a Canada Research Chair in Knowledge Transfer for Musculoskeletal Care and a Pfizer Research Chair in Rheumatology


2017 ◽  
Vol 76 (11) ◽  
pp. 1906-1910 ◽  
Author(s):  
Brigitte Michelsen ◽  
Eirik Klami Kristianslund ◽  
Joseph Sexton ◽  
Hilde Berner Hammer ◽  
Karen Minde Fagerli ◽  
...  

ObjectiveTo investigate the predictive value of baseline depression/anxiety on the likelihood of achieving joint remission in rheumatoid arthritis (RA) and psoriatic arthritis (PsA) as well as the associations between baseline depression/anxiety and the components of the remission criteria at follow-up.MethodsWe included 1326 patients with RA and 728 patients with PsA from the prospective observational NOR-DMARD study starting first-time tumour necrosis factor inhibitors or methotrexate. The predictive value of depression/anxiety on remission was explored in prespecified logistic regression models and the associations between baseline depression/anxiety and the components of the remission criteria in prespecified multiple linear regression models.ResultsBaseline depression/anxiety according to EuroQoL-5D-3L, Short Form-36 (SF-36) Mental Health subscale ≤56 and SF-36 Mental Component Summary ≤38 negatively predicted 28-joint Disease Activity Score <2.6, Simplified Disease Activity Index ≤3.3, Clinical Disease Activity Index ≤2.8, ACR/EULAR Boolean and Disease Activity Index for Psoriatic Arthritis ≤4 remission after 3 and 6 months treatment in RA (p≤0.008) and partly in PsA (p from 0.001 to 0.73). Baseline depression/anxiety was associated with increased patient’s and evaluator’s global assessment, tender joint count and joint pain in RA at follow-up, but not with swollen joint count and acute phase reactants.ConclusionDepression and anxiety may reduce likelihood of joint remission based on composite scores in RA and PsA and should be taken into account in individual patients when making a shared decision on a treatment target.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 769.2-769
Author(s):  
J. G. Letarouilly ◽  
B. Flachaire ◽  
C. Labadie ◽  
N. Cohen ◽  
M. Kyheng ◽  
...  

Background:Real-world data are missing for Ustekinumab (UST) and secukinumab (SEK) in psoriatic arthritis (PsA).Objectives:To evaluate the characteristics of the patients (pts) with PsA treated by UST or SEK and to assess real world persistence of UST and SEK in PsA.Methods:This is a retrospective, multicenter study of pts with PsA (CASPAR criteria or diagnosis confirmed by a rheumatologist) initiating UST or SEK with a follow-up ≥ 6 months from January 2011 to April 2019. The comparison of persistence between UST and SEK was analysed using a Cox model with an inverse probability of treatment weighting propensity score including 11 confounding factors. Subgroup analyses (age>65 years, gender, Body Mass Index (BMI), Charlson score>2, psoriasis, CRP>5mg/L, number (nb) of prior biotherapies, proportion of pts on maximum dose of UST or SEK, combination with methotrexate (MTX), enthesitic and axial forms of PsA) were also performed to test the heterogeneity of UST and SEK persistence. Finally, 2 sensitivity analyses were performed, first excluding the pts treated before the marketing authorization of SEK, and then excluding the pts that underwent a molecule switch. Causes of discontinuation were also collected.Results:406 pts were included: 245 with UST and 161 with SEK. At baseline before propensity score-matching, the UST group has a higher BMI (28.9 ± 6.4 kg/m2vs. 27.4 ± 6.0 kg/m2), more peripheral forms (98% vs. 90.8%), a higher nb of active smokers (27.1% vs. 19.9%), a higher frequency of psoriasis (96.3% vs. 83.2%), less MTX users (38.9% vs. 44.2%), a higher nb of pts with CRP >5mg/L (54.3% vs. 47%), a higher nb of pts naïve to biotherapies (22% vs. 13%) and a higher nb of pts with recommended dosing (97.3% vs 50.9%). The median persistence was 9.4 months and 14.7 months for UST and SEK, respectively. The persistence rate was lower in the UST group compared to the SEK group (40.9% vs. 59.1% % at 1 year; 26.4% vs. 38.0% at 2 years; weighted HR=1.42; 95% CI 1.07 to 1.92; p=0.015) (Fig 1). In subgroup analysis, combination with MTX was associated with a higher persistence rate in the patients with SEK compared to those receiving UST: 43.6% vs. 23.2% (HR=2.20; 95% CI 1.30 to 3.51; p=0.001), whereas no difference was observed in SEK and UST monotherapy: 33.8% vs 28.4%, respectively (HR=1.06; 95% CI 0.74 to 1.53; p=0.75) (Fig 2). A similar difference was found in the sensitivity analyses, with however a difference at the limit of significance for the analysis excluding pts with a molecule switch (adjusted HR=1.35; IC95% 0.96 to 1.92; p=0.085). The causes of discontinuation were due to inefficacy in 85% of cases and an adverse event in 12% of cases (19% in the SEK group and 9% in the UST group).Conclusion:In this first real-world study comparing UST and SEK persistence in PsA, the persistence of SEK was longer than that of UST. Subgroup analysis revealed this difference of persistence was restricted to patients treated in combination with MTX.Disclosure of Interests:Jean-Guillaume Letarouilly Grant/research support from: Research grant from Pfizer, Benoît Flachaire: None declared, Céline Labadie: None declared, Nicolas Cohen Speakers bureau: Novartis, Janssen, Maeva Kyheng: None declared, Jérémie SELLAM: None declared, Pascal Richette: None declared, Philippe Dieudé: None declared, Pascal Claudepierre Speakers bureau: Janssen, Novartis, Lilly, Bruno Fautrel Grant/research support from: AbbVie, Lilly, MSD, Pfizer, Consultant of: AbbVie, Biogen, BMS, Boehringer Ingelheim, Celgene, Lilly, Janssen, Medac MSD France, Nordic Pharma, Novartis, Pfizer, Roche, Sanofi Aventis, SOBI and UCB, Eric Houvenagel Speakers bureau: Janssen, Novartis, Chi Duc Nguyen: None declared, Marie-Hélène Guyot: None declared, Nicolas Segaud: None declared, Frederic Maury: None declared, Laurent Marguerie: None declared, Xavier Deprez Speakers bureau: Novartis, Janssen, Jean-Hugues Salmon Speakers bureau: Novartis, Janssen, Guy Baudens: None declared, Corinne Miceli Richard: None declared, Elisabeth Gervais Speakers bureau: Novartis, Janssen, Roche, Pfizer, BMS, Abbvie, Isabelle CHARY VALCKENAERE: None declared, Pierre Lafforgue Speakers bureau: Novartis, Janssen, Damien LOEUILLE: None declared, Christophe Richez Consultant of: Abbvie, Amgen, Mylan, Pfizer, Sandoz and UCB., Thao Pham Speakers bureau: Novartis, Janssen, Lilly, Rene-Marc Flipo Speakers bureau: Novartis, Janssen, Lilly


2017 ◽  
Vol 33 (S1) ◽  
pp. 232-232
Author(s):  
Michael da Silva ◽  
Jéssica dos Santos ◽  
Alessandra Almeida ◽  
Juliana Alvares ◽  
Augusto Guerra ◽  
...  

INTRODUCTION:Anti-tumor necrosis factor drugs (anti-TNF) are the last line of treatment for psoriatic arthritis (PsA) in the guideline of Brazilian Public Health System (SUS). Data of effectiveness of these drugs are scarce in the Latin American population. This study evaluated the effectiveness of the anti-TNF on a cohort of patients with PA in the SUS.METHODS:PsA patients treated with anti-TNF, were included in an open prospective cohort study. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Clinical Disease Activity Index (CDAI) were used to assess the effectiveness at six months of follow-up. The anti-TNF was considered effective when the patient achieves scores of four or less measured for BASDAI or scores of ten or less for CDAI. Frequency distributions were compiled for the sociodemographic variables and mean and standard deviation (SD) was used for clinical variables. The paired Student t-test was established to evaluate the differences between baseline and 6 months evaluated for BASDAI and CDAI.RESULTS:Fifty-four patients with PsA completed six months of follow-up. The mean age of patients was 54.03 years (10.44) and the mean disease duration was 8.00 years (7.49). Furthermore, 50 percent of the patients were female, 61.1 percent white and 59.6 percent married. The most used anti-TNF was adalimumab (63.0 percent), followed by etanercept (20.4 percent) and infliximab (16.7 percent). The anti-TNF reduced disease activity measured by BASDAI and CDAI at six months of follow-up (p<.001). The percentage of patients achieving the effectiveness with anti-TNF was 61.1 percent measured by BASDAI and 53.7 percent by CDAI.CONCLUSIONS:Anti-TNF drugs demonstrated to be effective in more than half of patients at six months. This result highlighted the importance of the treatment with the anti-TNF drugs in the Brazilian population. Long-term data are needed to confirm these results.


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