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Schett G, Simon D, Fagni F, Tascilar K. Reply. Arthritis Rheumatol 2022; 74:2043. [PMID: 35819811 PMCID: PMC9349449 DOI: 10.1002/art.42305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/05/2022] [Indexed: 11/15/2022]
Affiliation(s)
- Georg Schett
- Department of Internal Medicine 3Friedrich‐Alexander University (FAU) Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
- Deutsches Zentrum fuer Immuntherapie (DZI)FAU Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
| | - David Simon
- Department of Internal Medicine 3Friedrich‐Alexander University (FAU) Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
- Deutsches Zentrum fuer Immuntherapie (DZI)FAU Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
| | - Filippo Fagni
- Department of Internal Medicine 3Friedrich‐Alexander University (FAU) Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
- Deutsches Zentrum fuer Immuntherapie (DZI)FAU Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
| | - Korey Tascilar
- Department of Internal Medicine 3Friedrich‐Alexander University (FAU) Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
- Deutsches Zentrum fuer Immuntherapie (DZI)FAU Erlangen‐Nuremberg and Universitätsklinikum Erlangen, Ulmenweg 1891054ErlangenGermany
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Tascilar K, Simon D, Kleyer A, Fagni F, Krönke G, Meder C, Dietrich P, Orlemann T, Kliem T, Mößner J, Liphardt AM, Schönau V, Bohr D, Schuster L, Hartmann F, Taubmann J, Leppkes M, Ramming A, Pachowsky M, Schuch F, Ronneberger M, Kleinert S, Hueber A, Manger K, Manger B, Atreya R, Berking C, Sticherling M, Neurath MF, Schett G. POS0260 LONG-TERM HUMORAL RESPONSE TO SARS-CoV-2 VACCINATION IN PATIENTS WITH IMMUNE-MEDIATED INFLAMMATORY DISEASE. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.5079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe first vaccine against SARS-CoV-2 was approved in December 2020. Immunogenicity of SARS-CoV2 vaccines in patients with immune-mediated inflammatory disease (IMID) have so far been evaluated in the 2-6 weeks following complete vaccination and risk groups for poor early vaccine response have been identified leading to specific vaccination recommendations. However, data on the long-term course and persistence of vaccine response in IMID patients, as well as the outcomes of the specific recommendations are lacking.ObjectivesTo evaluate the long-term course of humoral response to SARS-CoV-2 vaccination in a large prospective cohort of IMID patients and non-IMID controls with a follow-up duration of up-to to 10 months after the first vaccine dose.MethodsWe have initiated a prospective dynamic cohort of IMID patients and healthy controls in February 2020 to monitor immune response to SARS-CoV-2 and respiratory infections including COVID-19 (1). Participants who contributed data starting from the 4 weeks before their first vaccination onwards were included in this analysis. Antibodies against SARS-CoV-2 spike protein were quantified with an ELISA from Euroimmun (Lübeck, Germany) with an optical density cutoff of 0.8. We fitted linear mixed-effect models for log-transformed antibody levels using time splines with adjustment for age and sex. Marginal mean antibody levels with 95% confidence intervals (CI) were estimated at selected time points for IMID patients and controls with double vaccination. We descriptively analyzed the observed antibody levels over time in cohort participants receiving two vaccinations vs. three vaccinations.ResultsAmong 5076 cohort participants, 3147 IMID patients and healthy controls (mean (SD) age 49 (16)) provided 4756 samples for this analysis between December 2020 and 2021, with a median (IQR) 28 (14-31) weeks of follow-up after the first vaccination (Table 1). 2965 (94%) participants had received at least 2 and 223 (7%) participants had received three vaccine doses by the date of their latest sampling. In IMID patients, age and sex-adjusted estimated marginal mean antibody levels waned after week 16 and were substantially reduced at all time points compared to the controls, finally dropping to the borderline range (1.01, 95%CI 0.86 to 1.19) at week 40 (Figure 1A, Table 1). A third dose was given to 128 (7%) of IMID patients with a poor response to 2 vaccine doses after a median 20 weeks of the second dose (IQR 10 to 26 weeks). After the third dose, antibody levels in IMID patients were comparable to those of healthy controls at 40 weeks who had three vaccine doses. These were also higher than that of IMID patients and controls who did not receive a third dose (Figure 1B).Table 1.Participant characteristics and antibody levelsHealthy controlsIMID N11991948 Age, mean (SD)40.8 (13.5)54.3 (14.8) Follow-up, weeks, median (IQR)31.1 (23.8-36.6)19.6 (12.3-26.6) Follow-up range, weeks,1.6-46.11.7-46.3Sex, n(%) Female554 (46.2)1136 (58.3)Vaccine intervals, ´median (IQR) 1st to 2nd dose4.6 (3.0-6.0)6.0 (5.0-6.1) 2nd to 3rd dose29.6 (26.9-36.4)19.9 (10.0-26.1)Diagnosis, n (%) Spondyloarthritis-713 (36.6) Rheumatoid arthritis-489 (25.1) Autoimmune disease, systemic+-420 (21.5) Inflammatory bowel disease-219 (11.2) Psoriasis-107 (5.5)Mean* antibody levels after 1st dose Week-84.16 (3.89 to 4.45)2.97 (2.83 to 3.12) Week-168.39 (7.81 to 9.02)5.04 (4.81 to 5.28) Week-325.02 (4.73 to 5.33)2.52 (2.32 to 2.74) Week-402.14 (1.95 to 2.35)1.01 (0.86 to 1.19)+ Systemic lupus, systemic sclerosis, Sjögren’s syndrome, vasculitis* Estimated marginal means adjusted for age and sex.Figure 1.ConclusionHumoral response to vaccination against SARS-CoV-2 was weaker in IMID patients compared to controls at all time points after the first vaccine dose and practically disappeared after 1 year. IMID patients can still achieve a good antibody response with a third dose even after a weak response with two doses.References[1]Simon D et al Nat Commun 2020Disclosure of InterestsNone declared
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Fagni F, Schmidt K, Bohr D, Valor L, Hartmann F, Tascilar K, Manger K, Manger B, Kleyer A, Simon D, Schett G, Harrer T. POS1263 PRE-EXPOSURE PROPHYLAXIS FOR SARS-CoV-2 INFECTION WITH SUBCUTANEOUS CASIRIVIMAB/IMDEVIMAB IN PATIENTS WITH IMMUNE MEDIATED INFLAMMATORY DISEASES. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundPatients with immune-mediated inflammatory diseases (IMID), particularly if treated with B-cell depleting therapies, show reduced humoral responses to SARS-CoV-2 vaccines and increased risk of severe COVID-19 (1,2). Since pre-exposure prophylaxis (PrEP) with monoclonal antibodies against SARS-CoV-2 proved effective in preventing infection and COVID-19 (3) in the general population, PrEP could be used for passive immunization of vaccine-refractory patients with IMIDs.ObjectivesTo evaluate the persistence of serum and salivary anti-SARS-CoV-2 IgG antibodies in vaccine-refractory patients with IMID after PrEP with casirivimab/imdevimab. Secondary outcomes were safety, SARS-CoV-2 infection, and adverse COVID-19 outcomes.MethodsWe performed a longitudinal analysis on anti-SARS-CoV-2 IgG titers in IMID patients who received a PrEP with 1200 mg of subcutaneous casirivimab/imdevimab due to high infection risk, as they had not developed an adequate humoral response at least 21 days after three COVID-19 vaccinations (Table 1). Serum and salivary anti-SARS-CoV-2 Spike IgG were quantified by ELISA (EUROIMMUN, Lübeck, Germany) before PrEP and after 1, 14, and 30 days. IgG levels are given as antibody ratios by dividing the optical density of the sample by that of the calibrator. A cutoff of ≥1.1 was considered positive. Safety as well as polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infection and adverse COVID-19 outcomes (hospitalization, mechanical ventilation, death) after PrEP were recorded.Table 1.Baseline characteristics.N26Age, mean (SD)54 (14)Sex, n (%)Female15 (57.7)Male39 (42.3)Diagnosis, n (%)ANCA-associated vasculitis10 (38.5)Rheumatoid arthritis6 (23.1)Immunoglobulin deficiency4 (15.4)Systemic sclerosis2 (7.7)Psoriatic arthritis1 (3.8)Systemic Lupus Erythematosus1 (3.8)Non-infectious Uveitis1 (3.8)Multiple sclerosis1 (3.8)IgG4-related disease1 (3.8)Autoinflammatory syndrome1 (3.8)CD20-depletionRituximab, n (%)22 (84.6)Other therapies, n (%)Methotrexate6 (23.1)Immunoglobulins4 (15.4)Mycophenolate1 (3.8)Infliximab1 (3.8)CD19+ lymphocytes/mm3, median (IQR)0 (0-9)Serum total IgG, median (IQR)894 (745-987)SD, standard deviation; IQR, interquartile range; ANCA, anti-neutrophil cytoplasmic antibodies.ResultsWe obtained 92 serum and 75 saliva samples from 26 participants at four consecutive timepoints (Figure 1). Anti-SARS-CoV-2 IgG titers were observed in serum and saliva samples of all participants from day 1 and throughout 30 days after PrEP independently of diagnosis, therapy, total IgG, and peripheral CD19+ B-cells. Serum IgG increased rapidly at day 1 and plateaued from day 14 to 30 (Figure 1A), reaching similar levels as seen in healthy subjects after full vaccination (1), while saliva IgG increased steadily from administration up to day 14 and plateaued at day 30 (Figure 1B). No side effects were reported. Five patients (19.2%) had a close contact with a SARS-CoV-2-infected person, after which all but one remained asymptomatic and with a negative PCR test. The patient who tested positive developed mild COVID-19 with fever and cough.Figure 1.Temporal pattern and distribution of serum (A) and salivary (B) anti-SARS-CoV-2 IgG levels.Results from individual participants are represented as line (top) and scatter plots (bottom). Horizontal lines represent median values, the dotted horizontal line represents the positivity cutoff of 1.1.** p =0.0082; *** p <0.001; **** p <0.0001. mAbs: monoclonal antibodies.ConclusionSARS-CoV-2 PrEP induces stable serum and salivary antibody levels in IMID patients who did not respond to COVID-19 vaccination, regardless of pre-existing clinical and serological features. In IMID, PrEP with casirivimab/imdevimab is safe and has the potential to prevent infection and severe COVID-19.References[1]Simon D, et al. Ann rheum dis. 2021;80:1312-1316.[2]Fagni F et al, et al. Lancet Rheumatol. 2021; e724-e736.[3]Flonza I, et al. MedRxiv. 2021. doi: 10.1101/2021.11.10.21265889Disclosure of InterestsNone declared
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Rech J, Tascilar K, Tufan A, Gattorno M, Kuemmerle-Deschner JB, Ozen S, Krickau T, Cohen E, Oliveira Mendonca L, Kontzias A, Vetterli M. POS1365 THE FMF&AID SURVEY - A PATIENT ORGANIZATION DRIVEN SURVEY FOR AUTOINFLAMMATORY DISEASES. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundAutoinflammatory diseases (also referred to as hereditary periodic fever syndromes) are caused by defects in the innate immune system. Many autoinflammatory syndromes arise from inherited genetic mutations which begin in childhood and persist throughout adult life. These diseases are often present in several members and generations within a family. Newer research also reflects that, cases can often present at any age through-out childhood, teenage years, and even into older adulthood. These cases appear to be acquired, perhaps due to the interplay of genetic, immune, and environmental factors (somaticism). It is not uncommon that a patient is diagnosed with rheumatoid arthritis, multiple sclerosis or another autoimmune issue, as many physicians are not aware of monogenic inborn errors, nor how to conduct a thorough work up due to a lack of medical knowledge.ObjectivesUnfortunately, the knowledge base that many doctors have with regards to autoinflammatory genetic diseases is minimal to non-existent, when compared to the well-established expertise of autoimmune disease management. Concerns about the increasing patient accounts detailing lack of medical diagnosis, treatment, and pain management, lead to the important decision to collect further data from the autoinflammatory patient community. The aim of the survey responses collected, and post data aggregation will help identity patient trends and use this information to educate and increase awareness amongst the medical community as to the unmet diagnostic and treatment requirements for the autoinflammatory population.MethodsA questionnaire comprised of thirty questions was developed by members of the patient organization FMF & AID Global Association (Executive Director, Malena Vetterli with Research Director, H. Ellen Cohen) under the guidance of Dr. med. Juergen Rech focused on collecting basic information (e.g. age, country, onset and duration of symptoms, pain and fatigue). The survey was published at the end of 2020 on social media (Facebook) and on the FMF&AID website (www.fmfandaid.org). Participation was voluntary and the patients agreed that the anonymised response information of the survey may be evaluated and published. This international survey was approved by the ETHICS Committee FAU in Erlangen-Nuremberg, Germany.ResultsWorldwide, over a thousand patients or parents/caregivers of patients (younger than 18 years) in fifty-two countries took part in this survey and answered the questionnaire. Eighty percent (80%) of the participants had already been diagnosed with an autoinflammatory disease. However, despite classic periodic symptom presentation, twenty percent (20%) of the participants were still without a concise diagnosis. FMF - forty-three percent (43%) was cited as the most common diagnosis and M. Behçet thirty percent (30%) as the second, with a variety of others (e.g. PFAPA, CAPS, HIDS, TRAPS, DADA, Yao syndrome, and uSAID). The minimum age at diagnosis ranged from 1 to 70+ years old with an average age of 33 years when properly diagnosed. Three-hundred and nine (309) patients reported that their pain had not been taken seriously and adequately treated in the past. Pain and fatigue, as measured by the standard visual analogue scale (VAS 0-10), was high in the past 30 and 7 days, respectively. VAS pain 30 days was 4.8 (SD +/-2.7) or 7 days with 4.2 (SD +/- 3), as well as fatigue VAS 30 days 5.7 (SD +/- 2.8) or fatigue VAS 7 days with 5.5 (SD +/- 3).ConclusionOne-fifth of patients with classic symptoms of autoinflammatory diseases remain undiagnosed and therefore not specifically treated. Although, the rest of the participants eighty percent (80%) have a diagnosis of an autoinflammatory disease, therapy does not appear to be sufficient to manage their wide-ranging and debilitating symptoms, in particular pain and fatigue. Patients continue to carry the burden of receiving mental diagnosis vs actual medical diagnosis and are still forced to seek additional medical support, often incurring travel or relocation costs to obtain proper care.Disclosure of InterestsJürgen Rech Speakers bureau: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD; Novartis, Roche, Sanofi, Sobi, UCB, Consultant of: Biogen, BMS, Chugai, GSK, Lilly, MSD, Novartis, Roche, Sanofi, Sobi, UCB, Grant/research support from: Novartis, Sobi, Koray Tascilar: None declared, Abdurrahman Tufan: None declared, Marco Gattorno: None declared, J. B. Kuemmerle-Deschner: None declared, Seza Ozen: None declared, Tobias Krickau: None declared, Ellen Cohen: None declared, Leonardo Oliveira Mendonca: None declared, Apostolos Kontzias: None declared, Malena Vetterli: None declared
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Bayat S, Tascilar K, Bohr D, Simon D, Krönke G, Hartmann F, Knitza J, Schett G, Kleyer A. POS0699 SIMILAR EFFICACY AND DRUG SURVIVAL RATES OF BARICITINIB MONOTHERAPY AND BARICITINIB/METHOTREXATE COMBINATION THERAPY IN REAL-LIFE TREATMENT OF RHEUMATOID ARTHRITIS - RESULTS FROM A PROSPECTIVE COHORT OF BARICITINIB-TREATED PATIENTS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundIn clinical trials, baricitinib (BARI), in combination with methotrexate (MTX), demonstrated efficacy in patients with rheumatoid arthritis (RA) who have not responded adequately to conventional (cs)or biologic (b) DMARDs [1]. Since MTX is often not tolerated very well [2], BARI monotherapy may be preferable over BARI/MTX combination in some patients with RA. Therefore, real-life data on BARI mono- vs. combination therapy are needed to support such decisions.ObjectivesThe aim of our study was to evaluate the efficacy of BARI as mono- or combination therapy in a prospective, open label cohort of RA patients failing previous cs/bDMARD therapy.MethodsPatients with active RA (DAS28-ESR >3.2), fulfilling the ACR/EULAR 2010 classification criteria and failing previous cs/bDMARD therapy were included. All patients received BARI either as monotherapy or in combination with MTX based on the judgement of the treating physician. Demographics, medical history, disease activity parameters such as 66/68 TJC/SJC, composite scores such as DAS28-ESR, HAQ-DI, as well as medication were prospectively recorded every 3 months according to a pre-defined protocol. Informed consent and ethics approval (19_18 B) were obtained. To evaluate clinical efficacy, DA28 ESR responses was recorded at respective visit dates (until week 96). We estimated least-square mean DAS-28 scores over time using linear mixed effects models including time-group interactions. Kaplan-Meier method was used to estimate baricitinib survival and probability of remission over time.Results139 patients (98 women/41 men; aged 58.4 (12.8) years; mean disease duration of 9.7 years) were included between 4/2017-10/2021. Of these, 46 patients received a combination of BARI with MTX (BARI/MTX) and 93 patients BARI monotherapy. Baseline demographic and disease-specific characteristic were comparable between BARI/MTX and BARI patients (Table 1). Median follow up was 53.1 weeks (IQR 23.0-109.3). Decrease in DAS28-ESR showed a similar dynamics in BARI/MTX (baseline DAS28-ESR: 4.2+/-1.3; 48 weeks: 2.9 (95%CI 2.6 to 3.2)) and BARI (4.3+/-1.3; 48 weeks: 3.0 (95%CI 2.8 to 3.3)) with numerical but no significant differences (Figure 1a). 62% (95%CI 40 to 76%) patients in the BARI/MTX group and 51% (95%CI: 37 to 61%) patients in the BARI attained DAS28ESR remission after 48 weeks. Drug survival was comparable among BARI/MTX and BARI patients. (69 vs.67% at 1 year and 62 vs 56% at 2 years) (Figure 1b).ConclusionThese data show that BARI monotherapy is efficacious in real life treatment in RA patients with insufficient response to MTX. Clinical efficacy and drug survival is comparable between BARI monotherapy and BARI/MTX combo in a real-life setting.References[1]Genovese, M.C., et al., Baricitinib in Patients with Refractory Rheumatoid Arthritis. N Engl J Med, 2016.[2]Michaud, K., et al., Real-World Adherence to Oral Methotrexate Measured Electronically in Patients With Established Rheumatoid Arthritis. ACR Open Rheumatol, 2019AcknowledgementsThe analysis of the data of this study is partially financially supported by Elli Lilly.Disclosure of InterestsNone declared
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Groetsch J, Tascilar K, Schett G, Foell D, Rech J. POS1340 BASELINE CLINICAL DISEASE ACTIVITY IS NOT CRITICAL FOR PREDICTING REMISSION OF ADULTS ONSET STILL´S DISEASE. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe clinical course of adult-onset Still’s disease (AoSD) is highly variable, ranging from subtle constitutional symptoms to life-threatening complications such as macrophage activation syndrome. Therefore, it is of interest whether baseline disease activity in AoSD predicts the clinical course, i.e. clinical and serological remission.ObjectivesThe aim of this study was to compare whether two instruments to measure AoSD disease activity, Pouchot-Score and Still-Activity-Score (SAS), at baseline predict later remission of disease. We also assessed whether serum levels of calprotectin (S100A8/A9) are associated with clinical disease activity as measured by SAS at follow up.MethodsAoSD was diagnosed according to the Yamaguchi criteria. In all patients Pouchot-Score and Still-Activity Score (SAS) were assessed at baseline and SAS score also at follow-up. Clinical remission was defined as absence of all AoSD symptoms (i.e. fever and arthralgia), while serological remission was defined as normalization of Ferritin, IL-18 and S100A8/A9 (calprotectin) levels. To investigate the prediction accuracy of the baseline Pouchot-Score and SAS for clinical and serological remission, a calculation of the areas under the receiver operating characteristic (ROC) curves was performed.Results42 AoSD patients (19 males/23 females; mean+/-SD age:41+/-17 years) were assessed. Baseline Pouchot-Score was 5.3 +/- 1.6, baseline SAS was 5.7 +/- 1.0. With treatment of AoSD, clinical disease activity decreased reaching a mean SAS of 2.2 +/- 1.8 after a mean follow up time of 48 +/- 90 months. Glucocorticoids were used by 33%, methotrexate by 21%, IL-1 inhibitors by 33% and IL-6 inhibitors by 29% of the patients. 62% (N=26) of the 42 patients obtained clinical remission and 36% (N=15) serological remission. Neither Pouchot-Score (0.57) nor SAS (0.51) at baseline predicted clinical remission of AoSD. Furthermore, also serological remission was not predicted by baseline SAS (0.62) or Pouchot-Score (0.56) (Figure 1). With respect to activity of AoSD during treatment serum calprotectin levels were closely associated with SAS disease activity (r = 0.54, p < 0.0003) (Figure 2).ConclusionBaseline AoSD disease activity as measured by Pouchot-Score and SAS does not predict clinical or serological remission. Serum calprotectin level is closely related to AoSD disease activity during the treatment phase.Figure 1.ROC for baseline SAS and Pouchot-Score and clinical remissionFigure 2.Association between S100A8/A9 protein measured by the ELISA method and disease activity by the SAS at follow-upAcknowledgementsThe research project was supported by SOBI and Novartis.Disclosure of InterestsJennifer Groetsch: None declared, Koray Tascilar: None declared, Georg Schett: None declared, Dirk Foell: None declared, Jürgen Rech Speakers bureau: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD; Novartis, Roche, Sanofi, Sobi, UCB, Consultant of: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD, Novartis, Roche, Sanofi, Sobi, UCB, Grant/research support from: Sobi, Novartis
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Folle L, Bayat S, Kleyer A, Fagni F, Kapsner L, Schlereth M, Meinderink T, Breininger K, Tascilar K, Krönke G, Uder M, Sticherling M, Bickelhaupt S, Schett G, Maier A, Roemer F, Simon D. OP0292 CLASSIFICATION OF PSORIATIC ARTHRITIS, SERONEGATIVE RHEUMATOID ARTHRITIS, AND SEROPOSITIVE RHEUMATOID ARTHRITIS USING DEEP LEARNING ON MAGNETIC RESONANCE IMAGING. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundWhile MRI evaluation of joints has been primarily used to quantify inflammation at a cross-sectional and longitudinal level, less is known about the potential of MRI in distinguishing different patterns of inflammation in the various forms of arthritis.ObjectivesTo evaluate (i) whether deep learning using neural networks can be trained to distinguish between seropositive rheumatoid arthritis (RA+), seronegative RA (RA-), and psoriatic arthritis (PsA) based on structural inflammatory patterns on hand magnetic resonance imaging and (ii) to assess if psoriasis patients with subclinical inflammation fit into such patterns.MethodsResNet 3D [1] neural networks were trained to distinguish (i) RA+ vs. PsA, (ii) RA- vs. PsA and (iii) RA+ vs. RA- with respect to hand MRI data. Diagnosis of patients was determined using the following guidelines: ACR/EULAR 2010 [2] for RA and CASPAR [3] for PsA. Results from T1 coronal, T2 coronal, T1 coronal and axial fat suppressed contrast-enhanced (CE) and T2 fat suppressed axial sequences were used. The performance of such trained networks was analyzed by the area-under-the-receiver-operating-characteristic curve (AUROC) with and without imputation of demographic and clinical parameters (Figure 1A). Additionally, the trained networks were applied to psoriasis patients without clinical signs of PsA.Figure 1.(A) Neural network combining MR sequences with optional additional clinical data. The prediction for a single case is formed by averaging the prediction of all sequences and the clinical data. (B) Plot of the AUROC for increasing percentages (0.6 – 60%) of training data for the differentiation between RA+ and PsA by the neural network. The light blue area around the dark blue mean indicates the uncertainty measured using a 5-fold cross-validation.ResultsMRI scans from 649 patients (135 RA-, 190 RA+, 177 PsA, 147 psoriasis) were included (Table 1). The AUROC for differentiation between disease entities was 75% (SD 3%) for RA+ vs. PsA, 74% (SD 8%) for RA- vs. PsA, and 67% (6%) for RA+ vs. RA-. All MRI sequences were relevant for classification, however, when deleting CE sequences, the loss of performance was only marginal. The addition of patient-specific data to the networks did not provide significant improvements. Increasing amounts of training data demonstrated improved performance of the networks (Figure 1B). Psoriasis patients were mostly assigned to PsA by the neural networks, suggesting that PsA-like MRI pattern may be present early in the course of psoriatic disease.Table 1.Overview of demographic and clinical information.RA+RA-PsAPsoriasisTotal Number (N)649Number (N)190135177147Age (years), mean±SD56.9±12.660.5±10.356.3±12.049.6±13.8Sex (female/male)126/6493/4292/8571/76BMI (kg/m2), mean±SD26.6±10.527.6 ±9.329.1±11.326.7±6.9Disease duration (years), mean±SD2.6±4.91.3±2.30.8±2.34.2±5.1DAS28, mean±SD3.3±1.33.4±1.23.2±1.3-CRP (mg/L), mean±SD0.9±2.50.7±1.20.5±0.80.5±1.3HAQ, mean±SD0.8±0.60.9±0.80.6±0.60.3±0.4MedicationbDMARD88.46%83.87%81.32%35.01%csDMARD89.52%88.89%80.54%12.28%ConclusionDeep learning can be successfully applied to differentiate MRI inflammatory patterns related to RA+, RA-, and PsA. Early changes in psoriasis patients can be recognized by neural networks and are characterized by a pattern that allowed the networks to classify them as PsA.References[1]Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh 2018. Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 6546–6555).[2]Aletaha D, Neogi T et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010 Sep;62(9):2569-81.[3]Helliwell PS, Taylor WJ. Classification and diagnostic criteria for psoriatic arthritis. Annals of the Rheumatic Diseases 2005;64:ii3-ii8.AcknowledgementsThe study was supported by the Deutsche Forschungsgemeinschaft (DFG-FOR2886 PANDORA and the CRC1181 Checkpoints for Resolution of Inflammation). Additional funding was received by the Bundesministerium für Bildung und Forschung (BMBF; project MASCARA), the ERC Synergy grant 4D Nanoscope, the IMI funded projects HIPPOCRATES and RTCure, the Emerging Fields Initiative MIRACLE of the Friedrich-Alexander-Universität Erlangen-Nürnberg and the Else Kröner-Memorial Scholarship (DS, no. 2019_EKMS.27). Furthermore, infrastructural and hardware support was provided by the d.hip Digital Health Innovation Platform.Disclosure of InterestsNone declared
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Kemenes S, Bayat S, Simon D, Krönke G, Bohr D, Valor L, Hartmann F, Schuster L, Tascilar K, Schett G, Kleyer A. AB0385 BARICITINIB LEADS TO RAPID AND PERSISTENT RESOLUTION OF SYNOVITIS AS MEASURED BY HAND MRI IN PATIENTS WITH ACTIVE RHEUMATOID ARTHRITIS (RA) FAILING cs/bDMARD THERAPY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundRA is characterized by synovial inflammation resulting in local bone loss [1]. Inhibitors of JAK/Stat pathways, such as baricitinib, demonstrated efficacy in reducing signs and symptoms of RA in clinical trials, however, little is known about their effects on synovitis and bone structure [2]. Preclinical and clinical observations suggest a positive effect JAK inhibitors on bone mass and microstructure, however no prospective, interventional clinical trial has been performed so far [3].ObjectivesThe aim of this study is to evaluate the effect of baricitinib on local inflammation (synovitis and osteitis) and bone structure (erosions) in RA patients failing on cs/bDMARD therapy using hand MRI.MethodsBAREBONE is a prospective, interventional, open label, monocentric single center study (EUDRACT 2018-001164-32 / NCT03701789) to assess the effect of baricitinib (4mg/day) on local MRI inflammation and structure in patients with active RA. Besides demographic and clinical characteristics, hand joint inflammation was assessed by magnetic resonance imaging (MRI) using a 1.5 Tesla scanner (Siemens Magnetom Aera T1w TSE cor, T2w TIRM cor, T2w TSE fat-sat trans, T1w TSE fat-sat trans + cor after KM;). at baseline, week 24 and week 48. Scans were assessed for synovitis, osteitis and bone erosions using the RAMRIS scoring system using two independent blinded readers (SK and SB). Intraclass correlation coefficients were calculated for total RAMRIS and synovitis, erosion and osteitis subscores and in a second step differences between cs and bDMARD failure were elaborated. Variables are summarized descriptively using means and 95% bootstrap confidence intervals for continuous outcomes and as number and percentages for categorical outcomes.ResultsThirty- two RA patients were screened and 30 patients were included (age: 53.4 [SD 12.6] years; sex: f/m N 24/6; disease duration: 3 [IQR 2.0 – 8.0] years; biologic naïve/bDMARD failure 16/14). 27 patients completed the trial while MRI data was available for 24 patients at week 48. Demographics and clinical characteristics can be seen in Table 1. Total RAMRIS scores slightly decreased from 20.6 (95% CI 14.4 -27.8) at baseline (BL) to 18.3 (11.5 -26.5) at week 48. The synovitis subscore mainly contributed to total RAMRIS reduction by significantly improving from 5.3 (4.0 - 6.8) at BL to 2.7 (1.5 - 4.0) at week 48 with a score change of -2.9 (-4.0 to -1.8). At week 48, 12 patients (44.4%) had no signs of synovitis compared to only 3 patients at BL. In contrast, RAMRIS osteitis subscores only marginally decreased from 4.9 (2.2 - 8.4) at BL to 4.0 (1.9 - 6.7) at week 48. RAMRIS erosion score remained stable over the 48-week observation time. A significant difference in RAMRIS synovitis change for biologic naïve -3.8 (-5.2 to -2.6) vs biologic failure -1.0 (-2.2 to 0.4 could be observed at week 48).With respect to clinical disease activity, DAS 28 score decreased from 4.8 (4.5 – 5.1) at BL to 2.9 (2.5 – 3.3) at week 48. Detailed results can be found in Table 1 and Figure 1. Intraclass coefficient (95%CI) for RAMRIS scoring was high for both readers 0.997 (0.994 to 0.998).Table 1.Demographics, DAS 28 ESR, RAMRIS total score and RAMRIS subset scores at baseline, week 24 and week 48 are shown as well as number of patients with improvement and resolution of synovitis.BaselineWeek 24Week 48N303027AgeMean [SD]53.5 (12.6)Genderfemalen [%]24 (80.0)malen [%]6 (20.0)Disease duration, yearsMedian (IQR)3.0 (2.0-8.0)DAS-28 ESRMean [95%CI]4.8 (4.5 to 5.1)3.0 (2.7 to 3.3)2.7 (2.4 to 3.0)MRI availablen [%]30 (100.0)28 (93.3)24 (88.9)RAMRIS totalMean [95%CI]20.6 (14.4 to 27.6)18.4 (12.6 to 25.4)18.3 (11.5 to 26.5)RAMRIS total changeMean [95%CI]0.0 (0.0 to 0.0)-2.1 (-4.0 to -0.4)-3.9 (-7.2 to -0.5)RAMRIS synovitisMean [95%CI]5.3 (3.9 to 6.9)3.5 (2.2 to 4.9)2.7 (1.5 to 4.0)RAMRIS synovitis changeMean [95%CI]0.0 (0.0 to 0.0)-1.8 (-2.5 to -1.0)-2.9 (-4.0 to -1.8)RAMRIS synovitis improvedpatients n [%]10 (33.3)13 (48.1)RAMRIS synovitis resolvedpatients n [%]10 (33.3)12 (44.4)RAMRIS osteitisMean [95%CI]4.9 (2.2 to 8.4)3.7 (1.5 to 6.2)4.0 (1.9 to 6.7)RAMRIS osteitis changeMean [95%CI]0.0 (0.0 to 0.0)-0.9 (-3.1 to 1.0)-1.9 (-5.7 to 1.1)RAMRIS osteitis improvedpatients n [%]2 (6.7)4 (14.8)RAMRIS erosionMean [95%CI]10.4 (7.3 to 14.6)11.2 (7.7 to 15.0)11.6 (7.5 to 16.6)RAMRIS erosion changeMean [95%CI]0.0 (0.0 to 0.0)0.6 (0.1 to 1.2)0.9 (0.0 to 2.1)RAMRIS erosion worsenedpatients n [%]2 (6.7)3 (11.1)ConclusionOur study shows that baricitinib primarily reduces MRI synovitis in RA patients that have previously failed csDMARD and bDMARD therapy and particularly in patients who are biologic naïve.References[1]McInnes, I.B. and G. Schett, The pathogenesis of rheumatoid arthritis. N Engl J Med, 2011.[2]Genovese, M.C., et al., Baricitinib in Patients with Refractory Rheumatoid Arthritis. N Engl J Med, 2016[3]Adam, S., et al., JAK inhibition increases bone mass in steady-state conditions and ameliorates pathological bone loss by stimulating osteoblast function. Sci Transl Med, 2020.AcknowledgementsLilly Deutschland GmbH funded the Barebone trialDisclosure of InterestsStephan Kemenes: None declared, Sara Bayat: None declared, David Simon Speakers bureau: Lilly Pharma Deutschland GmbH, Janssen, Consultant of: BMS, Pfizer, Sanofi, Abbvie, Janssen, Medac, Novartis,Lilly Deutschland GmbH, GileaBMS, Pfizer, Sanofi, Abbvie, Janssen, Medac, Novartis,Lilly Deutschland GmbH, Gilead, Amgend,, Grant/research support from: Novartis, Gilead, Abbvie, Lilly, Gerhard Krönke Speakers bureau: GSK, Novartis, Consultant of: GSK, Lilly, Novartis, Janssen, Grant/research support from: Lilly, Novartis, BMS, Janssen, Daniela Bohr: None declared, Larissa Valor: None declared, Fabian Hartmann: None declared, Louis Schuster: None declared, Koray Tascilar Speakers bureau: Gilead speaker, Consultant of: UCB, Lilly, Georg Schett Speakers bureau: Janssen, Abbvie, BMS, Lilly, Novartis, Roche, AMGEN, Gilead, UCB, Consultant of: Lilly, Novartis, Abbvie, Grant/research support from: Chugai, Lilly, Novartis, Arnd Kleyer Speakers bureau: Lilly, Novartis, Abbvie, Consultant of: BMS, Pfizer, Sanofi, Abbvie, Janssen, Medac, Novartis,Lilly Deutschland GmbH, Gilead, Amgen, Grant/research support from: Novartis, Lilly Deutschland GmbH, Gilead
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Knitza J, Tascilar K, Vuillerme N, Vogt E, Matusewicz P, Corte G, Schuster L, Aubourg T, Bendzuck G, Korinth M, Elling-Audersch C, Kleyer A, Boeltz S, Hueber A, Krönke G, Schett G, Simon D. POS1545-HPR PATIENT SELF-SAMPLING IN RHEUMATOID ARTHRITIS: RESULTS FROM A RANDOMIZED CONTROLLED TRIAL. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundRheumatoid arthritis (RA) requires early diagnosis and tight surveillance of disease activity. Patient self-sampling of blood for the analysis of autoantibodies and inflammation markers could facilitate the identification of patients at-risk for RA and improve tight disease monitoring [1].ObjectivesA randomized, controlled trial to evaluate the feasibility, acceptability and accuracy of an upper arm self-sampling device (UA) and finger prick-test (FP) to measure capillary blood from RA patients for C-reactive protein (CRP) levels and the presence of IgM rheumatoid factor (RF IgM) and anti-cyclic citrullinated protein antibodies (anti-CCP IgG).Methods50 RA patients were randomly assigned in a 1:1 ratio to self-collection of capillary blood via UA or FP. Venous blood sampling (VBS) was performed as gold standard in both groups to assess the concordance of CRP levels as well as RF IgM and CCP IgG. General acceptability and pain during sampling were measured and compared between UA, FP and VBS. The number of attempts for successful sampling, requests for assistance, volume and duration of sample collection were also assessed.Results49/50 (98%) patients were able to successfully collect capillary blood. Overall agreement between capillary and venous analyses for CRP (0.992), CCP IgG (0.984) and RF IgM (0.994) were good. In both groups 4/25 (16%) needed a second attempt and 8/25 (32%) in the UA and 7/25 (28%) in the FP group requested assistance. Mean pain scores for capillary self-sampling (1.7/10 ± 1.1 (UA) and 1.9/10 ± 1.9 (FP)) were lower on a numeric rating scale compared to venous blood collection (UA: 2.8/10 ± 1.7; FP: 2.1 ± 2.0). UA patients were more likely to promote the use of capillary blood sampling (net promoter score: +28% vs. -20% for FP) and were more willing to perform blood collection at home (60%) vs. 32% for FP).ConclusionThis study shows that self-sampling is accurate, feasible and well accepted among patients. The implementation could allow tight remote monitoring of disease activity as well as identifying patients at-risk for RA and potentially other rheumatic diseases.References:[1]Knitza J, Knevel R, Raza K, Bruce T, Eimer E, Gehring I, et al. Toward Earlier Diagnosis Using Combined eHealth Tools in Rheumatology: The Joint Pain Assessment Scoring Tool (JPAST) Project. JMIR Mhealth Uhealth. 2020;8:e17507.AcknowledgementsWe thank all patients for their participation in this study. This study is part of the PhD thesis of the first author JK (AGEIS, Université Grenoble Alpes, Grenoble, France). We thank Josefine Born and Deniz Krämer for their help recruiting patients.Disclosure of InterestsJohannes Knitza Grant/research support from: Thermo Fisher Scientific, Novartis, Koray Tascilar: None declared, Nicolas Vuillerme: None declared, Ekaterina Vogt Employee of: Thermo Fisher Scientific, Paul Matusewicz Employee of: Thermo Fisher Scientific, Giulia Corte: None declared, Louis Schuster: None declared, Timothée Aubourg: None declared, Gerlinde Bendzuck: None declared, Marianne Korinth: None declared, Corinna Elling-Audersch: None declared, Arnd Kleyer: None declared, Sebastian Boeltz: None declared, Axel Hueber: None declared, Gerhard Krönke: None declared, Georg Schett: None declared, David Simon: None declared
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Raimondo MG, Pachowsky M, Xu C, Rauber S, Tascilar K, Labinsky H, Soare A, Bräuer L, Rech J, Simon D, Kleyer A, Schett G, Ramming A. AB0113 A MINIMAL-INVASIVE METHOD TO RETRIEVE AND IDENTIFY ENTHESEAL TISSUE FROM PSORIATIC ARTHRITIS PATIENTS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundEnthesitis represents a hallmark feature of spondyloarthritis, including psoriatic arthritis (PsA).1 So far, most of the data on enthesitis in PsA are based on clinical assessment of tenderness as well as MRI or ultrasound examinations.2 These approaches, however, do not allow molecular analysis of entheses, which will require acquisition of entheseal tissue. Up today, it is unknown, which entheseal structure in humans would qualify for a feasible biopsy and how correct sampling of entheseal structures could be ascertained within such biopsy material. These technical challenges have led to substantial lack of knowledge on human entheseal tissues.ObjectivesTo establish a minimally invasive biopsy technique of human entheses for the analysis of entheseal tissue in patients with PsA.MethodsHuman cadavers were used for establishing the technique to retrieve tissue from the lateral humeral epicondyle enthesis (cadaveric biopsies). After biopsy, the entire entheses was surgically resected (cadaveric resections). Biopsies and resections were assessed by label-free second-harmonic-generation (SHG) microscopy. The same biopsy technique was then applied in PsA patients with subsequent definition of entheseal tissue by SHG.ResultsEntheseal biopsies were performed in five cadavers and allowed the retrieval of entheseal tissue, validated by analysis of the resection material. Thus, microscopy of biopsy and resection sections allowed differentiation of entheseal, tendon and muscle tissue by SHG and definition of specific intensity thresholds for entheseal tissue. The same method was then successfully applied to 10 PsA patients. Hence, the fraction of entheseal tissue within the PsA biopsy specimens was high (65%) and comparable to the fraction retrieved in cadaveric biospies (68%) as assessed by SHG microscopy.ConclusionEntheseal biopsy of the tendon plate of the lateral epicondyle is feasible in PsA patients allowing reliable retrieval of entheseal tissue and its identification by SHG microscopy.References[1]Schett, G, Lories D, D´Agostino MA, Elewaut E, Kirkham B, Soriano ER, McGonagle D. Enthesitis: from pathophysiology to treatment Nat Rev Rheumatol 2017 Nov 21;13(12):731-741.[2]Groves C, Chandramohan M, Chew NS, et al. Clinical Examination, Ultrasound and MRI Imaging of The Painful Elbow in Psoriatic Arthritis and Rheumatoid Arthritis: Which is Better, Ultrasound or MR, for Imaging Enthesitis? Rheumatol Ther 2017;4:71-84.Disclosure of InterestsNone declared
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Coppers B, Heinrich S, Phutane U, Berisha D, Tascilar K, Kleyer A, Simon D, Bräunig J, Penner J, Vossiek M, Schönau V, Bayat S, Schett G, Leyendecker S, Liphardt AM. POS1476-HPR FEASIBILITY OF USING OPTOELECTRONIC MEASUREMENT OF HAND MOVEMENT FOR CHARACTERIZING HAND FUNCTION IN RHEUMATOID ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundPhysical function is an important factor determining disease burden in arthritis. Monitoring function in rheumatoid arthritis (RA) patients is essential for effective treatment [1]. The currently used tools to assess physical function (e.g. patient reported outcomes) have limitations with respect to sensitivity and specificity to measure functional impairment in RA [2,3]. A marker-based optoelectronic measurement of hand function enables detailed analysis of hand movements such as spatial-temporal parameters and joint angles [4]. This may provide new possibilities to quantitatively and qualitatively analyze the changes of hand function in patients with RA in so far unprecedented way.ObjectivesTo test the feasibility of optoelectronic measurement of hand function in RA patients and healthy controls (HC) when performing standard functional tests such as the Moberg Pick-Up-Test (MPUT) as well as standard movements such as finger flexing and to detect disease specific patterns.MethodsRA patients (ACR/EULAR 2010 criteria [1]) recruited from the Internal Medicine 3 outpatient clinic, Erlangen, Germany and HC were included (Ethics #125_16B). Participants were asked to perform the MPUT and a simple movement of flexing the interphalangeal (DIP) and proximal interphalangeal joint (PIP). Spatial-temporal data of hand movements and hand segment kinematics were captured using an optoelectronic measurement system (Qualisys AB, Sweden) with 29 retroreflective markers (Figure 1). Transport time for each of the 12 MPUT objects was divided into a grasping phase (GP) (first touch to safe grip) and a manipulation phase (MP) (safe grip to drop) using the video recording or marker trajectories. For the flexing movement, the ratios between the flexion angle of the DIP and PIP joint (DIPPIP) were calculated. We used linear mixed-effects models accounting for within-participant clustering of hands and adjusting for age and sex differences to compare RA with controls.Figure 1.Marker setup and the 12 objects transported during the MPUT.ResultsTwenty-four RA patients and 23 healthy controls were evaluated (Table 1). Mean GP times across all objects showed higher absolute differences between the groups (RA 0.43 [0.35-0.52]; HC 0.33 [0.27-0.40] sec) while MP times were identical (RA 0.36 [0.30-0.44]; HC 0.36 [0.30-0.44] sec) showing a significant group-phase interaction (p<0.001). Objects safety pin, key, and paper clip showed the highest absolute between-group mean differences for unadjusted time data (0.41, 0.36, 0.34 sec respectively). Measured angle ratios (RA 0.60±0.15; HC 0.68±0.17 (DIPPIP)) and their linear fit (RA 0.96±0.05; HC 0.97±0.03 R2) were similar for RA and controls (p>0.05).Table 1.Subject characteristics; mean (SD)RAHCmale: female [N]7: 1711: 12Age [years]62.3 (9.1)50.2 (16.1)Disease duration [years]11.8 (10.8)Disease Activity Score (DAS28)2.5 (1.3)ConclusionOptoelectronic measurement of hand function is feasible and allows to gain a more detailed picture of impairment in hand function in RA patients. For instance, tasks like reaching for an object are significantly impaired. Further, objects causing the greatest difficulty for RA patients in the GP were identified. The previously described linear relationship of angle ratios for the distal finger joints in healthy individuals [5] seems also valid for RA patients in our cohort and no significant group differences for the ratio could be observed. This may reflect that DIP and PIP joints are less affected in RA compared to e.g. psoriasis arthritis [6]. In conclusion, optoelectronic hand movement analysis allows a more accurate and differentiated analysis of hand function in RA patients.References[1]Aletaha, D. et al. Arthritis Rheum. 2010, 62, 2569-2581[2]Günay, S. M. Reumatismo. 2016, 68, 183-187[3]Liphardt, A.M. et al. ACR Open Rheumatol. 2020, 2, 734-740[4]Sancho-Bru, J. et al. Proc. Inst. Mech. Eng. Part H J. Eng. Med.2014, 228, 182-189[5]Lee, J. & Kunii, T. IEEE Comput. Graph. Appl. 1995, 77-86[6]Veale DJ, et al. RMD Open 2015, 1: e000025AcknowledgementsThe study was supported by the German Research Foundation (DFG) under Grant SFB 1483 – Project-ID 442419336 and the major instruments at the Institute of Applied Dynamics, FAU Erlangen-Nürnberg were used in this study – reference number INST 90 / 985-1 FUGG.Disclosure of InterestsNone declared
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Tascilar K, Fagni F, Kleyer A, Bayat S, Heidemann R, Steiger F, Krönke G, Bohr D, Ramming A, Hartmann F, Klett D, Federle A, Regensburger A, Wagner AL, Knieling F, Neurath MF, Schett G, Waldner M, Simon D. POS1384 NON-INVASIVE IN VIVO METABOLIC PROFILING OF INFLAMMATION IN JOINTS AND ENTHESES BY OPTOACOUSTIC IMAGING. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundAn in-depth metabolic characterization of joints and entheses at the tissue level can help in the early diagnosis and treatment selection for patients with inflammatory arthritis [1]. However, current knowledge about the metabolic profiles of synovitis and enthesitis is limited. Multispectral optoacoustic tomography (MSOT), a novel metabolic imaging technology, could be used to undertake metabolic profiling of joints and entheses non-invasively using near-infrared multispectral laser to stimulate tissues and detect the emitted acoustic energy, enabling quantification of tissue components in vivo based on differential absorbance at multiple wavelengths [2, 3].ObjectivesTo explore the metabolic characteristics of arthritis and enthesitis using MSOT.MethodsWe performed a cross sectional study on healthy controls (HC) and patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) (Table 1). Participants underwent clinical, ultrasound (US), and MSOT examination of metacarpophalangeal joints, wrists, entheses of lateral epicondyles, patellar, quadriceps and Achilles tendons. MSOT-derived hemoglobin, oxygen saturation, collagen and lipid levels were measured. We calculated scaled mean differences (SMD) between affected and unaffected joints and entheses as defined by clinical examination or US using linear mixed effects models.Table 1.Baseline characteristics.OverallHealthyPsARAN87363417Age, mean (SD)47.0 (15.7)34.7 (12.0)52.4 (11.5)62.5 (9.1)Sex, n (%) Female48 (55.2)18 (50.0)17 (50.0)13 (76.5) Male39 (44.8)18 (50.0)17 (50.0)4 (23.5)Tender joints, median (IQR)0 (0-2)0 (0-0)1 (0-5)2 (1-6)Swollen joints, median (IQR)0 (0-1)0 (0-0)0 (0-2)2 (1-6)Tender entheses, median (IQR)0 (0-2)0 (0-0)1 (0-3)0 (0-0)csDMARD, n (%)22 (25.3)-13 (38.3)9 (53.0)b-tsDMARD, n (%)31 (35.6)-20 (58.8)11 (64.7)SD, standard deviation; IQR, interquartile range; csDMARD, conventional synthetic disease modifying anti-rheumatic drug; b-tsDMARD, biologic or targeted synthetic disease modifying anti-rheumatic drug.ResultsWe obtained 1535 MSOT and 982 US scans from 87 participants (36 HC, 34 PsA, 17 RA). Entheseal tenderness was not associated with metabolic changes, whereas US enthesitis was associated with increased total hemoglobin, oxygen saturation and collagen content. In contrast, clinical and US arthritis showed increased hemoglobin levels but reduced oxygen saturation and reduced collagen content. Synovial hypertrophy was associated with increased lipid content in the joints (Figure 1).Figure 1.Scaled differences and 95% confidence intervals of MSOT-measured metabolite values by clinical and ultrasonographic findings of enthesitis (A-C) and arthritis (D-F). Two differences are plotted for each metabolite indicating two multispectral processing algorithms used for estimation. P values were adjusted for multiple testing using a false discovery rate of 5%. NS, not significant. sO2, oxygen saturation.ConclusionMSOT allows a non-invasive characterization of metabolic changes in arthritis and enthesitis. These findings can be interpreted as a reflection of increased synovial cellularity, collagen degradation, and metabolic demand in synovitis, and of an increased tissue apposition and vascularization in enthesitis. Our results suggest that synovitis and enthesitis do not only differ at the clinical and anatomical-functional level, but also exhibit divergent metabolic changes.References[1]Falconer J, et. al. Arthritis Rheumatol. 2018;70(7):984-99.[2]Regensburger AP, et. al. Biomedicines. 2021;9(5).[3]Regensburger AP, et al. Nature Medicine. 2019;25(12):1905-15.Conflict of InterestAR., FK, MW are co-inventors, together with iThera Medical GmbH, Germany on an EU patent application (no. EP 19 163 304.9) relating to a device and a method for analysis of optoacoustic data, an optoacoustic system and a computer program. All other authors declare no conflict of interest.AcknowledgementsWe thank Ms. Nairouz Al Ahmad, assistant medical technician (Department of Internal Medicine 3), for her assistance in conducting the study and Dr. Yi Qiu, PhD (iThera Medical GmbH) for her assistance in data analysis and interpretation.Disclosure of InterestsNone declared
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Schönau V, Corte G, Ott S, Tascilar K, Hartmann F, Manger B, Hellmich B, Pfeil A, Oelzner P, Schmidt WA, Krause A, Schmalzing M, Fröhlich M, Gernert M, Venhoff N, Henes J, Rech J, Schett G. POS0809 CHARACTERIZATION OF RELAPSES IN PATIENTS WITH GIANT CELL ARTERITIS (GCA) PATIENTS- DATA FROM THE REAL-LIFE TREATMENT AND SAFETY (REATS)-GCA COHORT. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundGiant cell arteritis (GCA) has the tendency to relapse once treatment is tapered or stopped. Such relapses represent a potential threat to GCA patients as they can lead to severe symptoms and organ damage.ObjectivesTo assess the frequency and type of relapses in patients with GCAMethodsThe Real-Life Treatment and Safety (REATS)-GCA cohort has been established by extracting the data on clinical presentation, inflammatory markers, imaging, comorbidities, treatments and serious adverse events of GCA patients from 6 specialized centres in Germany. We undertook descriptive and survival analyses (Kaplan-Meier), and compared baseline characteristics of participants with vs. without relapse. Ethical approval for the cohort was obtained.ResultsWe included 395 patients with a mean age of 71 years, including 264 (66.8 %) females and 129 (32.7%) males. Diagnosis of GCA was supported by temporal artery ultrasound in 37%, 18F-FDG-PET/CT in 29%, temporal artery biopsy in 14% of patients and by MRI or clinically in the remaining patients. 31% of patients presented with an isolated cranial manifestation and 18% with isolated extracranial manifestations. Most common presenting symptoms were headache (57%), fatigue (55%), weight loss (42%) and polymyalgia (38%) (Table 1). The most common comorbidities at the time of study inclusion were arterial hypertension (68%), followed by osteoporosis (26%). Within a median total follow-up duration of 22.2 (11.7-40.6) months, 97 of the 395 patients relapsed including 15 patients who relapsed more than once. The median (IQR) time to first relapse was 12.5 (7.1-21.8) months. Median relapse-free survival was 7.8 years with a relapse risk of 12% (CI, 9 to 15%) at 1 year and 38% (CI, 30 to 45%) at 5 years (Figure 1). Most common symptoms at relapse were headache (35%), polymyalgia (23%), fatigue (19%) and night sweats (12%) (Table 1). Three patients relapsed with sudden loss of vision. Among the 114 relapses observed, 94 (83%) occurred under prednisolone treatment with a median dose of 7.0 mg/day (IQR 4.0-12.5). 26 (23%) occurred under methotrexate and 14 (12%) under tocilizumab treatment. Comparing the baseline characteristics that were documented in this study, we did not find a statistically significant difference in relapsing versus non-relapsing GCA patients.Table 1.Symptom at disease onsetN=395 (%)Symptom at relapseN=97 (%)Headache216 (54.7)Headache35 (30.7)Fatigue208 (52.7)Polymyalgia (PMR)23 (20.2)Weight loss159 (40.3)Fatigue19 (16.7)Polymyalgia (PMR)144 (36.5)Vision impairment13 (11.4)Night sweats140 (35.4)Night sweats12 (10.5)Headache in the temple area125 (31.6)Headache in the temple area12 (10.5)Jaw pain121 (30.6)Jaw pain11 (9.6)Vision impairment118 (29.9)Morning stiffness7 (6.1)Morning stiffness89 (22.5)Weight loss7 (6.1)Fever80 (20.3)Claudication upper limb6 (5.3)Swelling temporal arteries77 (19.5)Arthralgia6 (5.3)Vision loss57 (14.4)Claudication lower limb5 (4.4)Scalp tenderness38 (9.6)Vision loss3 (2.6)Claudication upper limb38 (9.6)Arthritis3 (2.6)Claudication lower limb34 (8.6)Scalp tenderness2 (1.8)Arthralgia28 (7.1)Fever2 (1.8)Arthritis3 (0.8)Swelling temporal arteries2 (1.8)Figure 1.ConclusionAbout one fourth of GCA patients relapsed and the overwhelming majority of relapses occurred before patients were able to stop glucocorticoids. The leading symptoms at relapse are headache and fatigue, while loss of vision is rare (0.76%). Baseline characteristics seem to be poorly informative about the risk of relapse, therefore regular monitoring of GCA patients is necessary.AcknowledgementsThis research was financially supported by Roche Pharma Ag and Chugai Pharma Europe Ltd.Disclosure of InterestsVerena Schönau Speakers bureau: Novartis, Janssen, Grant/research support from: Roche, Chugai, Giulia Corte: None declared, Sebastian Ott: None declared, Koray Tascilar: None declared, Fabian Hartmann: None declared, Bernhard Manger: None declared, Bernhard Hellmich: None declared, Alexander Pfeil: None declared, Peter Oelzner: None declared, Wolfgang A. Schmidt: None declared, Andreas Krause: None declared, Marc Schmalzing: None declared, Matthias Fröhlich: None declared, Michael Gernert: None declared, Nils Venhoff: None declared, Jörg Henes: None declared, Jürgen Rech Speakers bureau: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD; Novartis, Roche, Sanofi, Sobi, UCB,, Consultant of: Biogen, BMS, Chugai, GSK, Lilly, MSD, Novartis, Roche, Sanofi, Sobi, UCB, Grant/research support from: Sobi, Novartis, Georg Schett: None declared
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Treutlein C, Schmidkonz C, Tascilar K, Chenguiti Fakhouri S, Dees C, Györfi AH, Matei AE, Baeuerle T, Kuwert T, Uder M, Schett G, Distler JHW, Bergmann C. POS0864 ASSESSMENT OF SYSTEMIC SCLEROSIS RELATED MYOCARDIAL FIBROSIS BY 68Ga-FAPI-04 PET/CT. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundMyocardial fibrosis is a poor prognostic factor and a relevant cause of SSc-related mortality. Current non-invasive screening methods for myocardial fibrosis (MF) include echocardiography, electrocardiography and serum Nt-pro-BNP, which are not specific for MF and not sensitive for early changes. Cardiac MRI predominately visualizes extracellular space changes as consequence of long-standing fibroblast activation. Direct visualization of the remodeling fibrotic remodeling process has not been feasible so far.ObjectivesHere, we use a tracer labeled probe directed against Fibroblast-Activation-Protein (FAP) to visualize activated fibroblasts in the myocardium of SSc patients and healthy individuals to test the hypothesis that FAPI-based PET imaging might enable the assessment of disease activity in SSc-related MF.MethodsIn this exploratory trial, 7 patients with SSc-related myocardial fibrosis (MF) confirmed by cardic MRI and 8 SSc patients without myocardial involvement were enrolled. All participants underwent 68Ga-FAPI-04 PET/CT imaging and cardiac MRI as well as echocardiography, electrocardiogram, and serum NT-pro-BNP. Patients were followed for at least 6 months including a follow-up cardiac MRI. Regional mapping of 68Ga-FAPI-04-uptake, late gadolinium enhancement (LGE) and T1-relaxation times were performed according to the American Heart Association 17 regions model. Myocardial tissue was analysed by immunofluorescence- (aSMA and FAP) and Sirius-Red staining.ResultsMyocardial FAPI-04-accumulation was significantly increased in SSc patients with myocardial fibrosis as defined by LGE in MRI compared to SSc patients without LGE. Consistent with the previously reported widespread remodeling in SSc-associated myocardial disease, the distribution of FAPI uptake was observed across multiple areas and did not correspond to the supply areas of the coronary arteries. Histological analyses of myocardial tissue biopsied from a LGE and 68Ga-FAPI-04-positive region revealed the accumulation of FAP+; SMA+ myofibroblasts in regions of pronounced collagen deposition. Slightly increased 68Ga-FAPI-04 -uptake values were observed in SSc patients without LGE, but with cardiovascular risk factors.Comparing 68Ga-FAPI-04-uptake with cardiac MRI based mapping techniques, we observed a partial overlap for certain regions and differences in others. These observations suggest, that 68Ga-FAPI-PET/CT and cMRI could visualize different aspects of the disease process.To confirm that 68Ga-FAPI-04-uptake assesses current molecular fibroblast activity rather than accumulating disease damage, we analyzed associations of 68Ga-FAPI-04-uptake with changes of clinical parameters of SSc-MF on follow-up: Here we observed different dynamics of change of 68Ga-FAPI-04-uptake and cardiac MRI-based, e.g. in response to start of immunosuppressive therapy.ConclusionOur study presents first in human evidence on a limited number of patients that FAPI-04-uptake correlates with fibrotic activity in SSc-associated myocardial fibrosis and that 68Ga-FAPI-04-PET/CT may thus improve risk stratification in this population.Disclosure of InterestsNone declared
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Liphardt AM, Tascilar K, Coppers B, Manger E, Liehr S, Bieniek L, Bayat S, Simon D, Sticherling M, Rech J, Hueber A, Schett G, Kleyer A. POS0009 SUBJECTIVE ASSESSMENT OF PHYSICAL FUNCTION DOES NOT SUFFICIENTLY EXPLAIN VARIANCE OF MEASURED HAND FUNCTION AND GRIP STRENGTH IN ARTHRITIS PATIENTS AND NON-ARTHRITIS CONTROLS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundMonitoring disease activity in patients with inflammatory arthritis is essential for effective treatment. While the health assessment questionnaire (HAQ) is commonly used to assess physical function, additional functional tests, such as isometric grip strength and the Moberg Pick-Up-Test (MPUT), provide objective measures for hand function and allow assessing hand function across different diseases (1). It remains unclear to date, if measured hand function is already reflected by the HAQ, as the most widely used patient reported outcome measure of physical function in arthritis.ObjectivesTo estimate the proportion of hand function and grip strength variability explained by HAQ, patient-reported hand function, and between-person variation in patients with inflammatory arthritis and non-arthritic controls.MethodsPatients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), psoriasis without PsA (PsO) and healthy controls (HC) were investigated. Subject characteristics (age, sex, disease) and HAQ were recorded. Hand function was assessed by vigorimetric grip strength, MPUT, and a patient-reported tool (Michigan Hand Questionnaire, MHQ). Mixed pure-random-effect linear regression models were used to estimate the proportion of variance in measured hand function or grip strength explained by subject characteristics (age, hand dominance, sex, reported hand function, disease group).Results299 subjects were tested, 101 with RA (Age: 59.1±13.3 years, BMI: 27.2±5 kg/m2, HAQ-DI score: 0.9±06), 92 with PsA (Age: 58.8±11.6 years, BMI: 29±6.1kg/m2, HAQ-DI score: 0.6±0.7) and 106 non-arthritic controls (51 with Pso (Age: 47.3±14.1 years, BMI: 29.8±7.3 kg/m2, HAQ-DI score: 0.4±06) and 55 HC (Age: 54.6±16.5 years, BMI: 25.2±3.3 kg/m2, HAQ-DI score: 0.1±0.2). Overall variation of MPUT is mostly accounted for by between-person variation (43.1%), followed by HAQ (20.3%) and MHQ (20.2%) (Figure 1A). Overall variation in grip strength is mostly accounted for by sex (59.8%), between-person variation (21.1%) and HAQ (11.3%) (Figure 1B). Overall variation in MHQ is mostly accounted for by HAQ (59.2%) and residual variation (28.3%). Study group specific result are summarized in Table 1.Table 1.Variance proportions for each of the four study groups.Variance proportions (%)Hand function (MPUT)Grip strengthGroupControlPsAPsORAControlPsAPsORAMHQ3.439.00.00.00.02.10.00.0ID34.836.251.652.816.112.921.327.9Age0.013.80.00.78.48.40.00.0HAQ35.810.834.316.43.83.110.312.0Dominant hand0.60.20.00.03.50.61.30.2Sex12.10.00.04.364.268.963.755.0Residual13.30.014.125.83.94.03.45.0ConclusionWhile the variance variation in grip strength is mainly explained by sex and between-person variation for all subject groups, the proportions of explained variance for measured hand function is not similar between diseases. In all groups > 50% of the variation in measured hand function remains unexplained by the variables used. Especially in arthritis patients, HAQ explained less than 25% of the variance in measured hand function. Grip-strength can be considered a poor surrogate for hand function in this context due to its large gender dependence. The explainability of MHQ variation largely by HAQ indicates that it has limited potential to provide further information beyond overall functional impairment. In contrast, the large between-person variation in MPUT likely indicates unexplored movement patterns of hand motion that may be further dissected using sensor-based analyses (2) and can help identify movement components a potential for an in-depth assessment of subtle hand-function alterations in inflammatory arthritis.References[1]Liphardt AM et al. ACR Open Rheumatol 2020, 2, 734-740. 2. Phutane U et al. Sensors (Basel) 2021, 21.AcknowledgementsThis study was supported by the German Research Council (SFB 1483 – Project-ID 442419336, INST 90 / 985-1 FUGG, FOR2438/2886; SFB1181), the German Ministry of Science and Education (project MASCARA), the European Union (H2020 GA 810316 - 4D-Nanoscope European Research Council Synergy Project) and Novartis Germany GmbH.Disclosure of InterestsNone declared
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Corte G, Bayat S, Tascilar K, Valor L, Schuster L, Knitza J, Schett G, Kleyer A, Simon D. POS1394 ACCURACY AND PERFORMANCE OF A HANDHELD ULTRASOUND DEVICE TO ASSESS ARTICULAR AND PERIARTICULAR PATHOLOGIES IN PATIENTS WITH INFLAMMATORY ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Handheld ultrasound (HHUS) devices have increasingly found their way into clinical practice due to several advantages (e.g. portability, significantly lower purchase cost). However, there is no evidence to date on the accuracy and performance of HHUS in patients with inflammatory arthritis (IA).Objectives:To assess accuracy and performance of a new HHUS machine in comparison to a conventional cart-based sonographic machine in patients with IA.Methods:Consecutive IA patients of our outpatient clinic with at least one tender and swollen joint in the 66/68 joint count were enrolled. US was performed on clinically affected joints with corresponding tendons/entheses using a cart-based sonographic device (“Samsung HS40”) and a HHUS device (“Butterfly iQ”) in standard scan positions. One blinded reader scored all images for the presence of following pathologic findings: erosions, bony enlargement, synovial hyperthrophy, joint effusion, bursitis, tenosynovitis and enthesitis. In addition, synovitis was graded (B Mode and power Doppler (PD)) by the 4-level EULAR-OMERACT scale [1]. To avoid bias by the blinded reader, who otherwise would have been tempted to identify pathological findings for each examined joint, we also included 67 joints of two healthy volunteers into the evaluation. We calculated the overall concordance and the concordance by type of joint and type of pathological finding between the two devices (percentage of observation pairs in which the same rating was given by both devices). The Cohen’s kappa coefficient (κ) with 95% bootstrap confidence intervals was used to assess the agreement between the two US devices. We also measured the time required for the US examination of one joint with both devices.Results:32 patients (20 rheumatoid arthritis, 10 psoriatic arthritis, 1 gouty arthritis, 1 systemic lupus erythematosus) were included in this study. Mean age of patients was 58.2±13.7 years, 63% were females. In total 186 joints were examined. The overall raw concordance in B-mode between the two devices was 97 %, with an overall κappa for agreement of 0.90, 95% CI (0.89, 0.94). No significant differences were found in relation to type of joint or pathological finding examined. The PD-mode of the HHUS device did not detect any PD-signal, whereas the cart-based device detected a PD-signal in 61 joints (33%). The portable device did not offer any time saving compared to the cart-based device (mean time in seconds per examined region: 47 seconds for the HHUS device versus 46.3 seconds for the cart-based device).Conclusion:The HHUS device “Butterfly iQ” has been shown to be accurate in the assessment of structural joint damage and inflammation in patients with IA, but only in B-mode. Significant improvements are still needed to reliable demonstrate blood flow detection by PD mode.References:[1]D’Agostino, M.A., et al., RMD Open, 2017. 3(1): p. e000428.Table 1.Concordance between a handheld and a conventional cart-based US device in B-modeAgreement by siteN joints (%)Concordance (%)Kappa 95%CIOverall186970.90 (0.89 to 0.94)Wrist32 (17.2)960.86 (0.77 to 0.93)Finger/toe joint (MCP, PIP, DIP, MTP)114 (61.3)970.92 (0.88 to 0.95)Elbows11 (5.9)950.87 (0.75 to 0.97)Shoulder4 (2.2)1001.00 (NA to NA) *Knee20 (10.7)980.96 (0.90 to 1.00)Ankle5 (2.7)1001.00 (NA to NA) *Agreement by pathological findingJoint effusion950.81 (0.68 to 0.92)Synovitis940.87 (0.79 to 0.93)Synovitis OMERACT grade (0– 3)900.84 (0.76 to 0.91)Bone enlargement980.88 (0.71 to 1.00)Erosion980.89 (0.77 to 0.89)Tenosynovitis980.83 (0.61 to 0.96)Entheseopathy1001.00 (NA to NA) *Bursitis970.90 (0.89 to 0.94)* unreliable kappa statistics because of small number of shoulders/ankles examined and small number of entheseopathiesFigure 1.Pathological US findings in MCP joints (1, 2, 3) and wrist (4) depicted by the two different ultrasound devicesB-mode erosive (arrow) and synovial (asterisk) changes could be detected by both devices (1-2), while PD changes of different grades only by the conventional US device (3-4).Acknowledgements:This study was supported by the Deutsche Forschungsgemeinschaft (DFG- FOR2886 PANDORA and the CRC1181). Additional funding was received by the Bundesministerium für Bildung und Forschung (BMBF; project METARTHROS, MASCARA), the H2020 GA 810316 - 4D-Nanoscope ERC Synergy Project, the IMI funded project RTCure, the Emerging Fields Initiative MIRACLE of the Friedrich-Alexander-Universität Erlangen-Nürnberg, the Else Kröner-Memorial Scholarship (DS, no. 2019_EKMS.27) and Innovationsfond Lehre / FAU Erlangen-Nürnberg 2019.Disclosure of Interests:None declared
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Bergmann C, Distler JHW, Treutlein C, Tascilar K, Mueller AT, Atzinger A, Matei AE, Knitza J, Györfi AH, Lueck A, Dees C, Soare A, Ramming A, Schönau V, Distler O, Prante O, Ritt P, Goetz TI, Koehner M, Cordes M, Baeuerle T, Kuwert T, Schett G, Schmidkonz C. OP0272 68GA-FAPI-04 PET/CT STUDY EXTENSION FOR THE ASSESSMENT OF FIBROBLAST ACTIVATION AND RISK EVALUATION IN SYSTEMIC SCLEROSIS-RELATED INTERSTITIAL LUNG DISEASE. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Interstitial lung disease (ILD) is the most common cause of death in systemic sclerosis (SSc). To date, the progression of SSc-ILD is judged by the accrual of lung damage on computed tomography (CT) and functional decline (forced vital capacity). However, this approach does not directly assess the activity of tissue remodeling. Moreover, prediction of the course of ILD in individual SSc patients remains challenging. Fibroblast Activation Protein (FAP) is a specific, ex vivo validated marker for activated fibroblasts.Objectives:The aims of this study were: 1. To assess differences in the uptake of 68GA-FAPI 04 in SSc-ILD patients compared to controls, to analyze 2. whether 68GA-FAPI 04 uptake at baseline correlates with other risk factors of disease progression and 3. Whether 68GA-FAPI 04 uptake is associated with the course of SSc-ILD.Methods:Between September 2018 and April 2020, 21 patients with SSc-ILD confirmed by HRCT and onset of SSc-ILD within ≤ 5 years or signs of progressive ILD and 21 controls without ILD were consecutively enrolled. All participants underwent 68Ga-FAPI-04 PET/CT imaging and standard-of-care procedures including HRCT and lung function testing (PFT) at baseline. Patients with SSc-ILD patients were followed-up for 6 months with HRCT and PFT. Follow-up 68Ga-FAPI-04 PET/CT scans were obtained in a subset of patients treated with nintedanib. We compared baseline 68Ga-FAPI-04 PET/CT uptake to standard diagnostic tools and currently used predictors of ILD progression. The association of 68Ga-FAPI-04 uptake with changes in FVC was analyzed using mixed-effects models.Results:68Ga-FAPI-04 accumulated in fibrotic areas of the lungs in SSc-ILD compared to controls with a median (q1-q3 interval) wlSUVmean of 0.8 (0.6 to 2.1) in the SSc-ILD group and 0.5 (0.4 to 0.5) in the control group (p<0.0001 with Mann-Whitney test) and a median whole lung maximal standardized uptake value (wlSUVmax) of 4.4 (3.05 to 5.2) in the SSc-ILD group compared to 0.7 (0.65 to 0.7) in the control group (p<0.0001). wlFAPI-MAV and wlTL-FAPI were not measurable in control subjects, as no 68Ga-FAPI-04 uptake above background level was observed. In the SSc-ILD group the median wlFAPI-MAV was 254cm3 (163.4 to 442.3) and the median wlTL-FAPI was 183.6 cm3 (98.04 to 960.7). 68Ga-FAPI-04 uptake was higher in patients with extensive disease, with previous ILD progression or high EUSTAR activity scores. Increased 68Ga-FAPI-04 uptake at baseline was associated with progression of ILD independently of extent of involvement on HRCT scan and the forced vital capacity at baseline. In consecutive 68Ga-FAPI-04-PET/CTs, changes in 68Ga-FAPI-04 uptake was concordant with the observed response to the fibroblast-targeting antifibrotic agent nintedanib.Conclusion:Our study presents first in human evidence that 68Ga-FAPI-04-fibroblast uptake correlates with fibrotic activity and disease progression in the lungs of SSc-ILD patients and that 68Ga-FAPI-04-PET/CT may be of potential to improve risk assessment of SSc-ILD.Figure 1.A and B:68Ga-FAPI-04 PET/CT scan from a patient with SSc-ILD with selective 68Ga-FAPI-04 uptake in fibrotic areas of the left- and right lower lung lobes (red arrows), but not in non-fibrotic areas such as the middle lobe (green arrow). B Corresponding CT component.Acknowledgements:We gratefully acknowledge Prof. Uwe Haberkorn (University Hospital Heidelberg and DKFZ, Heidelberg, Germany) and iTheranostics Inc. (Dulles, VA, USA) for providing the precursor FAPI-04.Disclosure of Interests:Christina Bergmann: None declared, Jörg H.W. Distler Speakers bureau: Actelion, Anamar, ARXX, Pharma, Boehringer Ingelheim, Celgene, Galapagos, GSK, Inventiva, JB Therapeutics, and UCB, Grant/research support from: Anamar, Active Biotech, Array Biopharma, ARXX, aTyr, BMS, Bayer Pharma, Boehringer Ingelheim, Celgene, Galapagos, GSK, Inventiva, Novartis, Sanofi-Aventis, RedX, UCB, Christoph Treutlein: None declared, Koray Tascilar Speakers bureau: Gilead sciences GmbH, Pfizer Turkey, UCB Turkey, Anna-Theresa Mueller: None declared, Armin Atzinger: None declared, Alexandru-Emil Matei: None declared, Johannes Knitza: None declared, Andrea-Hermina Györfi: None declared, Anja Lueck: None declared, Clara Dees: None declared, Alina Soare: None declared, Andreas Ramming: None declared, Verena Schönau: None declared, Oliver Distler Speakers bureau: Arxx Therapeutics, Baecon Discovery, Blade Therapeutics,Bayer, Böhringer Ingelheim, Catenion,Competitive Drug Development International Ltd, Corbuspharma, CSL Behring, ChemomAb, Horizon Pharmaceuticals, Ergonex, Galaapagos NV, Glenmark Pharmaceuticals,GSK, Inventiva, Italfarmaco, IQvia, Kymera, Lilly, Medac, Medscape, MSD, Novartis, Pfizer, Roche, Sanofi, Taget Bio Sciencec, UCB, Grant/research support from: Bayer,Böhringer Ingelheim, Mitsubishi Tanabe Pharma, Olaf Prante: None declared, Philipp Ritt: None declared, Theresa Ida Goetz: None declared, Markus Koehner: None declared, Michael Cordes: None declared, Tobias Baeuerle: None declared, Torsten Kuwert Speakers bureau: Honoraria for occasional lectures by Siemens Healthineers, Grant/research support from: Research grant to the Clinic of Nuclear Medicine by this entity covering projects in the field of SPECT/CT, Georg Schett: None declared, Christian Schmidkonz: None declared
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Simon D, Kleyer A, Bayat S, Knitza J, Valor L, Schweiger M, Schett G, Tascilar K, Hueber A. AB0495 BIOMECHANICAL STRESS IN THE CONTEXT OF COMPETITIVE SPORTS TRAINING TRIGGERS ENTHESITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Preclinical models have indicated that biomechanical stress can trigger entheseal inflammation (1). Furthermore, enthesitis is a hallmark of psoriatic arthritis (PsA) and spondyloarthritis (SpA), suggesting that mechanoinflammation is an important step in their pathogenesis (2). However, the relation between mechanical stress and enthesitis in humans is poorly investigated. Competitive badminton is a demanding stop-and-go sport that strains entheseal sites in particular and provides an opportunity to assess the impact of physical activity on the development of an instant inflammatory response in the entheses.Objectives:To evaluate the influence of mechanical stress on the development of immediate enthesitis.Methods:BEAT (Badminton Enthesitis Arthrosonography Study) is an interventional study that assessed entheses in competitive badminton players before and immediately after a 60-minute intensive training session by ultrasound. Power Doppler (PD) signal and Gray-Scale (GS) changes were evaluated at the insertions sites of both Achilles tendon, patellar tendons and lateral humeral epicondyles and quantified using a validated scoring system (3). Pre- and post-training scores were compared using linear mixed-effects models. We used interaction terms to assess possible differential effects on patellar, elbow and Achilles entheses.Results:Thirty-two badminton players (22 men, 10 women) with an average age of 31.1±13.0 years were included (Table 1). On average, they had been playing badminton for 16.2±10.1 years. 192 entheseal sites were examined twice. The respective empirical total scores for PD examination were 0.1 (0.3) before and 0.5 (0.9) after training (Figure 1). Mean total GS scores were 2.9 (2.5) and 3.1 (2.5) before and after training, respectively. The mean total PD score difference of 0.4 between pre- and post -training was significant with a p value of 0.0014, whereas the p value for the mean total GS score difference of 0.2 was 0.63. Overall, seven participants (22%) showed an increased empirical total PD score. A mixed-effects model showed a significant increase of PD scores after training, with a mean increase per site of 0.06 (95%CI 0.01 to 0.12, p=0.017).Table 1.Baseline characteristicsDemographic characteristicsN, total32Females, N (%)10 (31.3)Age, years (mean ± SD)36.1 ± 13.0Height, cm (mean value ± SD)178.6 ± 9.9Body weight, kg (mean value ± SD)74.7 ± 13.5Smoking, N (%)11 (34.4)Alcohol, N (%)24 (75.0)Concomitant DiseasesInflammatory bowel disease, N (%)0Psoriasis, N (%) 0Uveitis, N (%)0Diabetes mellitus, N (%)0Hypertension, N (%)2 (6.3)Sports historyYears Badminton (mean ± SD)16.2 ± 10.1Figure 1.Ultrasound scores before and after training Figure 1. A Spaghetti plots depicting inividual Gray-Scale and Power Doppler ultrasound scores before and after trainingConclusion:Mechanical stress leads to rapid inflammatory responses in the entheseal structures of humans. These data support the concept of mechanoinflammation in diseases associated with enthesitis. However, while such responses may be self-contained in healthy subjects, they may be prolonged and more pronounced in certain risk groups, such as patients with PsA or SpA.References:[1]Cambré I, et al. Mechanical strain determines the site-specific localization of inflammation and tissue damage in arthritis. Nature Communications. 2018; 9:4613.[2]Schett G, et al. Enthesitis: from pathophysiology to treatment. Nat Rev Rheumatol. 2017; 13:731-741.[3]Balint PV, et al. Reliability of a consensus-based ultrasound definition and scoring for enthesitis in spondyloarthritis and psoriatic arthritis: an OMERACT US initiative. Annals of the Rheumatic Diseases. 2018; 77:1730.Disclosure of Interests:David Simon: None declared., Arnd Kleyer: None declared., Sara Bayat: None declared., Johannes Knitza: None declared., Larissa Valor: None declared., Marina Schweiger: None declared., Georg Schett: None declared., Koray Tascilar: None declared., Axel Hueber Grant/research support from: Novartis Research Grant.
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Klemm P, Kleyer A, Tascilar K, Schuster L, Meinderink T, Steiger F, Lange U, Müller-Ladner U, Knitza J, Sewerin P, Mucke J, Pfeil A, Schett G, Hartmann F, Hueber A, Simon D. POS1492-HPR EVALUATION OF A VIRTUAL REALITY-BASED APPLICATION TO EDUCATE HEALTHCARE PROFESSIONALS AND MEDICAL STUDENTS ABOUT INFLAMMATORY ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Inflammatory arthritides (IA), such as rheumatoid arthritis or psoriatic arthritis, are disorders that can be difficult to comprehend for health professionals and students in terms of the heterogeneity of clinical symptoms and pathologies. New didactic approaches using innovative technologies such as Virtual Reality (VR) applications could be helpful to demonstrate disease manifestations as well as joint pathologies in a more comprehensive way. However, the potential of using a VR education concept in IA has not yet been evaluated.Objectives:We evaluated the feasibility of a VR application to educate healthcare professionals and medical students about IA.Methods:We developed a VR application using IA patients data as well as two- and three-dimensional visualized pathological joints from X-ray and computed tomography generated images (1). This VR application (called Rheumality) allows the user to interact with representative arthritic joint and bone pathologies of IA patients (Figure 1 A, B). In a consensus meeting an online questionnaire was designed to collect basic demographic data (age, sex), profession of the participants, and their feedback on the general impression, knowledge gain and potential areas of application of the VR application. The VR application was subsequently tested and evaluated by healthcare professionals (physicians, researchers, and other healthcare professionals) and medical students at predefined events (two annual rheumatology conferences and academic teaching seminars at two sites in Germany).Results:125 individuals participated in this study (56% female, 43% male, 1% non-binary). 59% of the participants were between 18-30 years of age, 18% between 31-40, 10% between 41-50, 8% between 51-60 and 5% were between 61-70. Of the participants, 50 were physicians, five researchers and four other health care professionals, the remaining were medical students (66). The participants rated the application as excellent (Figure 1 C, D), the mean rating of the VR application was 9.0/10 (SD 1.2) and many participants would recommend the use of the application, with a mean recommendation score of 3.2/4 (SD 1.1). A large majority stated that the presentation of pathological bone formation improves the understanding of the disease (120 out of 125 (96%)).Conclusion:The data show that IA-targeting innovative teaching approaches based on VR technology are feasible. The use of VR applications enables a disease-specific knowledge visualization and may add a new educational pillar to conventional educational approaches.References:[1]Kleyer A et al. Z Rheumatol 78, 112–115 (2019)Figure 1.Illustration of the VR application and evaluation resultsTwo- and three-dimensional visualized pathological joints from X-ray and computed tomography generated images in a patient with long-standing (inadequately treated) RA (A) and a patient with early RA (B). Overall rating (range 0-10) on the VR application divided into four different professional subgroups (C); recommendations of VR application in the four different professional subgroups (D). HC, health care professionals; Boxplot explanation: Crossbars represent medians, whiskers represent 5-95 percentiles (points below the whiskers are drawn as individual points), box always extends from the 25th to 75th percentiles (hinges of the plot).Disclosure of Interests:Philipp Klemm Consultant of: Lilly Deutschland GmbH, Arnd Kleyer Speakers bureau: Lilly Deutschland GmbH, Consultant of: Lilly Deutschland GmbH, Grant/research support from: Lilly Deutschland GmbH, Koray Tascilar: None declared, Louis Schuster: None declared, Timo Meinderink: None declared, Florian Steiger: None declared, Uwe Lange: None declared, Ulf Müller-Ladner: None declared, Johannes Knitza Speakers bureau: Lilly Deutschland GmbH, Philipp Sewerin Speakers bureau: Lilly Deutschland GmbH, Paid instructor for: Lilly Deutschland GmbH, Johanna Mucke Consultant of: Lilly Deutschland GmbH, Alexander Pfeil Speakers bureau: Lilly Deutschland GmbH, Paid instructor for: Lilly Deutschland GmbH, Consultant of: Lilly Deutschland GmbH, Georg Schett: None declared, Fabian Hartmann Consultant of: Lilly Deutschland GmbH, Axel Hueber Consultant of: Lilly Deutschland GmbH, Grant/research support from: Lilly Deutschland GmbH, David Simon Speakers bureau: Lilly Deutschland GmbH, Paid instructor for: Lilly Deutschland GmbH, Consultant of: Lilly Deutschland GmbH, Grant/research support from: Lilly Deutschland GmbH
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Tascilar K, Simon D, Krönke G, Kleyer A, Ramming A, Atreya R, Tenbusch M, Überla K, Berking C, Sticherling M, Neurath MF, Schett G. POS1426 PATIENTS WITH IMMUNE MEDIATED INFLAMMATORY DISEASES ARE OVERREPRESENTED IN LOW- FREQUENCY VIRAL SYMPTOM CLUSTERS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Viral respiratory infections are common in the general population and result in a spectrum of outcomes ranging from effective viral clearance with no symptoms, to a maladaptive immune response that can result in severe symptomatic disease and death. Although patients with immune-mediated inflammatory diseases (IMID) are considered susceptible to poor outcomes from infectious syndromes, it is not known whether IMID patients are overall more prone to manifest common viral infection symptoms.Objectives:To explore frequency patterns of common viral infection symptoms in IMID patients.Methods:We previously recruited patients with IMIDs and individuals with no IMIDs for a seroprevalence study between February 1st and April 30th 2020 (1). Participants were questioned for the presence of eleven common viral disease symptoms. We clustered these data using an unsupervised binary data clustering algorithm (2) into 6 symptom clusters based on symptom frequency. Three major clusters (broadly symptomatic, intermediately symptomatic and oligo-/asymptomatic) and 2 sub-clusters (higher and lower frequency) for each major cluster. In addition, qualitative symptom clustering was done. We estimated standardized residuals to quantify the over/underrepresentation of IMID diagnosis frequencies in each subject cluster. We used Poisson regression to compare symptom counts by diagnosis.Results:We analyzed 1909 participants (757 with IMIDs; 1152 non-IMID controls; Table 1). Within each major subject cluster (Figure 1A), IMID patients showed the highest positive deviation from the expected frequencies in lower frequency sub-clusters while non IMID controls showed the highest positive deviations in the higher frequency sub-clusters (Figure 1B). Inflammatory bowel disease and psoriasis were remarkably overrepresented in the lower frequency sub-cluster of the broadly-symptomatic cluster while RA was overrepresented in the lower frequency sub-clusters of intermediate and oligo-/asymptomatic clusters. X axis of Figure 1A presents qualitative symptom clusters. Regression analysis shows that RA patients among other IMIDs reported overall less symptoms (RR= 0.69, 95%CI, 0.58 - 0.80) compared to non-IMID controls.Figure 1.A) distribution of common viral respiratory disease symptoms across patient and symptom clusters. B) Standardized residuals indicating deviation from expected frequencies of IMID diagnoses across patient clusters. sob: shortness of breath, mskpain: musculoskeletal painConclusion:This analysis shows that symptoms of common respiratory viral infections are less frequent in RA patients and to a lesser extent in other IMID patient. As major clusters in this analysis can also be considered to represent exposure categories, these data suggest that IMIDs or their treatments may mitigate common respiratory viral infection symptoms.References:[1]Simon D. et al. Nat Commun (2020) 11, 3774[2]Bhatia P. et al. J. Stat. Softw (2017) 76(9)Table 1.Participant characteristics and distribution of IMID diagnoses across subject clusters.ClustersBroad SymptomaticIntermediate SymptomaticOligo-AsymptomaticOverallHigherLowerHigherLowerHigherLowerN190910185412259283769Age, years, mean (SD)45.4(15.2)42.4(13.3)47.3 (15.2)42.4(12.9)50.4(15.5)41.8(14.9)46.8(15.9)Male1080 (56.6)42 (41.6)38 (44.7)196 (47.6)137 (52.9)178 (62.9)489 (63.6)Diagnosis, n(%)No-IMID1152 (60.3)72 (71.3)44 (51.8)280 (68.0)112 (43.2)207 (73.1)437 (56.8)RA226 (11.8)7 (6.9)5 (5.9)29 (7.0)56 (21.6)17 (6.0)112 (14.6)IBD178 (9.3)5 (5.0)15 (17.6)46 (11.2)29 (11.2)19 (6.7)64 (8.3)SpA142 (7.4)7 (6.9)5 (5.9)23 (5.6)25 (9.7)14 (4.9)68 (8.8)Psoriasis89 (4.7)4 (4.0)9 (10.6)14 (3.4)8 (3.1)13 (4.6)41 (5.3)Other122 (6.4)6 (5.9)7 (8.2)20 (4.9)29 (11.2)13 (4.6)47 (6.1)Symptom count/patient, mean (SD)1.2 (1.7)6.0 (1.3)3.9 (1.1)2.2 (1.0)1.5 (0.6)0.5 (0.5)0.0 (0.0)IBD, inflammatory bowel disease.Acknowledgements:This study was supported by the Deutsche Forschungsgemeinschaft (DFG- FOR2886 PANDORA and the CRC1181), the Bundesministerium für Bildung und Forschung (BMBF; project MASCARA), the H2020 GA 810316 - 4D-Nanoscope ERC Synergy Project, the IMI funded project RTCure, the Emerging Fields Initiative MIRACLE of the Friedrich-Alexander-Universität Erlangen-Nürnberg as well as the Schreiber Stiftung gemeinnützige Gesellschaft mbH.Disclosure of Interests:None declared
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Tascilar K, Simon D, Liphardt AM, Meinderink T, Bayat S, Rech J, Hueber A, Krönke G, Schett G, Kleyer A. OP0148 SPATIOTEMPORAL DYNAMICS OF BONE LOSS BEFORE AND AFTER THE ONSET OF RHEUMATOID ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.4176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Rheumatoid Arthritis (RA) is preceded by a clinically silent pre-phase characterized by autoimmunity against anti-modified protein antibodies including anti-citrullinated protein antibodies (ACPA). At this pre-stage patients already experience significant loss of volumetric peripheral bone mineral density (vBMD) compared to healthy controls measured by high-resolution peripheral quantitative computed tomography (HR-pQCT) (1-2). However, the longitudinal course of vBMD changes during the preclinical phase, after diagnosis, and its association with time to disease onset have not been investigated.Objectives:To longitudinally characterize the changes of metacarpal and radial vBMD before and after the clinical onset of RA and its association with time to onset of arthritis.Methods:To explore the development of arthritis, we initiated a RA-at-risk cohort in 2011. (Ethics 334_16B). This prospective cohort includes adults positive for CCP-AB with or without musculoskeletal symptoms, excluding arthritis. Participants are regularly followed with clinical examination and HR-pQCT imaging of the MCP and radial bone to monitor early bone changes. HR-pQCT images with low motion grade artefacts were analyzed to obtain the total (D100), cortical (DComp) and trabecular (DTrab) vBMD (D100) in mg HA cm3.We descriptively analyzed the vBMD time course in patients who developed RA by fitting regression curves separately for the pre-clinical and clinical periods and estimated time-conditional marginal mean VBMDs for the 5-year peri-RA period. We analyzed time to diagnosis of clinical RA defined by the 2010 ACR/EULAR classification criteria using Cox regression models. Hazard ratios indicate the relative risk of clinical disease onset associated with 1 standard deviation reduction in bone density.Results:130 subjects (mean [SD] age 47.0 [12.2], 89 female [68%]) between 2011 and 2020 were analyzed. Median (IQR) follow-up duration for the cohort was 18.6 (4.6-47.6) months. Participants underwent 233 HR-pQCT scans and 58 (45%) underwent 2 to 6 scans with a median interval of 16.2 (12.2-21.2) months. 49 (38%) patients who developed RA had a pre-diagnosis follow-up of 4.1 (2.5-13.4) months and post-diagnosis follow-up of 22.0 (8.8-38.9) months. The time course of scaled bone mineral densities depicted in Figure 1A suggest that bone density around the MCP joints deteriorate in the preclinical phase of RA, which is mostly prominent in the trabecular bone. Modelling (Figure 1B) suggests that trabecular bone loss around the MCP joints has a constant pace regardless of the clinical status. Whereas the radial bone densities are relatively stable in the preclinical phase and show a reduction after the clinical onset of RA. Age and sex adjusted hazard ratios (95%CI) for the risk of RA clinical onset were 1.52 (1.03 to 2.25) for radius D100 and 1.66 (1.07 to 2.55) for radius DComp (Table-1).Table 1.Relative risk of RA development in the total cohort; crude and age/sex adjusted hazard ratios for one standard-deviation reduction in vBMD.CrudeAdjustedHR (95%CI)PHR (95%CI)PMCP.D-Comp1.16 (0.86 to 1.57)0.3361.20 (0.89 to 1.63)0.229MCP.D-Trab1.14 (0.83 to 1.57)0.4051.17 (0.85 to 1.62)0.341MCP.D1001.16 (0.83 to 1.61)0.3921.21 (0.86 to 1.71)0.265Rad.D-Comp1.42 (0.97 to 2.07)0.0711.66 (1.07 to 2.55)0.023Rad.D-Trab1.20 (0.87 to 1.66)0.2571.23 (0.88 to 1.71)0.223Rad.D1001.43 (0.99 to 2.06)0.0561.52 (1.03 to 2.25)0.033Conclusion:Metacarpal bone showed a constant decline that started already in the pre-phase of RA and continued after its clinical onset. In contrast, bone loss in the radius was not observed in the pre-phase but started at onset of RA. Low radial vBMD in the pre-clinical phase, however, was associated with a higher risk of RA onset. These findings suggest different spatiotemporal dynamics of bone loss before and after RA onsetReferences:[1]Kleyer A. et. al. Ann Rheum Dis. 2014, 73:854-60[2]Simon D. et. al. Ann Rheum Dis. 2020, doi:10.1002/art.41229Disclosure of Interests:None declared
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Bleckwedel-Rolack L, Tascilar K, Nees V, Hühne J, Hueber A, Rech J, Schett G, Kleyer A, Liphardt AM. POS0381 PATIENTS AT RISK FOR RA SHOW THE SAME AMOUNT OF ACUTE SOLUBLE CARTILAGE DEGRADATION MARKERS AFTER PHYSICAL ACTIVITY COMPARED TO PATIENTS WITH ESTABLISHED RA. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Serum concentration of cartilage oligomeric matrix protein (COMP) is related to the degree of cartilage destruction in patients with rheumatoid arthritis (RA) and shows a mechanosensitive response to ambulatory loads. We showed previously, that individuals with positive for anti-citrullinated protein antibody (ACPA+) status already show bone loss. It is unclear if these individuals experience cartilage deterioration and how this is related to physical activity.Objectives:To test whether soluble COMP levels in ACPA+ display the same response as RA patients after a walking exercise and explore the association between overall serum COMP levels and physical activity.Methods:RA patients and ACPA+ individuals (IRACE cohort: Individuals at Risk for Arthritis Cohort Erlangen; Ethics approval 334_16B) were enrolled in the study after written informed consent. Inclusion criteria were age between 18 and 69 years, RA (by 2010 ACR/EULAR criteria) or ACPA+ (without clinical manifestation of RA and prior treatment with glucocorticoids, DMARDs and biologics). The study comprised three visits (baseline (Visit 1), 6 (Visit 2), and 12 months (Visit 3). During each visit, serum samples were collected after 30 minutes rest (pre) and at 0, 30, 60, and 120 minutes after a 30-minute walking exercise. Serum COMP concentration was analyzed by commercial ELISA. Physical activity duration (hours) was measured using an activity monitor for 7 consecutive days, and physical activity level (metabolic equivalent of the task (MET)) was quantified using the International Physical Activity Questionnaire (IPAQ). The reponse of COMP levels to the walking exercise was modelled using linear mixed-effects regression models. The association between physical activity and overall serum COMP concentrations was analyzed using a mixed-effects regression model (Random effects: individuals, visits and COMP measurement time points).Results:28 RA and 22 ACPA+ patients participated in this prospective study. Table 1 summarizes patient demographics and outcome measures. Serum COMP levels increased in response to the walking exercise in both groups but the acute response was not different in RA patients compared to ACPA+ individuals. Higher physical activity level by IPAQ was associated with higher overall COMP concentration. Doubling of total physical activity is associated with an increase in serum concentration of 0.32 U/L (95%CI 0.09 to 0.54, p=0.006). ACPA+ individuals but not RA patients show an association between serum COMP concentration and physical activity duration (Figure 1).Table 1.Summary of subject characteristics and outcome measures.DescriptivesMeasureACPA+RAindividuals, number (%)22 (44.0)28 (56.0)Age, years (mean (SD))47.6 (12.8)57.0 (9.1)Female, number (%)14 (28.0)19 (38.0)BMI, kg/m2, mean (SD)25.1 (5.6)27.2 (5.8)Anti-CCP positive (N)1714DAS28-score, mean (SD)2.5 (1.2)2.7 (1.4)Cartilage Oligomeric Matrix Protein (U/l)Visit 1Visit 2Visit 3ACPA+RAACPA+RAACPA+RApre-walking exercise9.4 (2.8)9.7 (3.8)10.8 (2.2)11.3 (4.5)10.2 (2.5)10.5 (3.9)09.5 (2.6)10.4 (3.9)11.8 (1.8)12.2 (4.0)10.1 (2.0)11.1 (4.6)309.2 (2.2)9.9 (3.6)10.8 (1.9)11.4 (4.4)9.2 (2.2)10.6 (4.2)609.2 (2.0)9.4 (4.0)10.4 (2.1)10.9 (4.5)8.6 (2.9)10.0 (4.0)1209.2 (2.1)9.5 (4.0)9.6 (1.8)10.9 (4.4)8.0 (2.4)9.9 (3.9)Figure 1.Estimated marginal mean COMP by physical activity duration for RA and ACPA+.Conclusion:Pre-exercise serum COMP concentration is similar in ACPA+ and RA and shows a similar increase in response to walking in both groups. Physical activity duration appears to influence serum COMP concentration in ACPA+. Given that acute COMP release was not different between ACPA+ and RA while overall COMP values are associated with physical activity level, the discrepancy between ACPA+ and RA for this association can be explained by reduced vigor or qualitative differences in physical activity.Disclosure of Interests:Lisa Bleckwedel-Rolack: None declared, Koray Tascilar: None declared, Veronika Nees: None declared, Julia Hühne: None declared, Axel Hueber: None declared, Jürgen Rech Speakers bureau: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD; Mylan, Novartis, Roche, Sanofi, Sobi, UCB, Consultant of: Abbvie, Biogen, BMS, Chugai, GSK, Lilly, MSD; Mylan, Novartis, Roche, Sanofi, Sobi, UCB, Grant/research support from: Novartis, Sobi, Georg Schett Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Lilly, Novartis, Arnd Kleyer Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Lilly, Novartis, Anna-Maria Liphardt Speakers bureau: Mylan, Paid instructor for: Abbvie, Consultant of: MEDA Pharma, Grant/research support from: Novartis
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Hagen M, Tascilar K, Reiser M, Valor L, Haschka J, Kleyer A, Hueber A, Manger B, Cobra J, Figuereido C, Finzel S, Tony HP, Wendler J, Kleinert S, Schuch F, Ronneberger M, Feuchtenberger M, Fleck M, Manger K, Ochs W, Schmitt-Haendle M, Lorenz HM, Alten R, Henes J, Krueger K, Rech J, Schett G. OP0318 TREATMENT TAPERING AND WITHDRAWAL IN RHEUMATOID ARTHRITIS WITH STABLE REMISSION - FINAL ANALYSIS OF THE RETRO STUDY. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Due to better treatment strategies and higher remission rates the management of rheumatoid arthritis (RA) patients in sustained remission is of increasing interest (1). The Rheumatoid Arthritis in Ongoing Remission (RETRO) study investigated the possibility to taper and stop disease modifying anti-rheumatic drugs (DMARDs).Objectives:To compare one-year remission and relapse rates in rheumatoid arthritis patients randomized to continued treatment, reduced treatment or gradual treatment withdrawal after stable remission under routine care.Methods:Primary data of the phase III, randomized, controlled RETRO trial in RA patients with stable conventional synthetic and/or biologic DMARD treatment in sustained (>6 months) DAS28-ESR remission (<2.6 units). Patients were randomized 1:1:1 into three strategy arms (continuation of 100% DMARD dose, CONT; tapering to 50% DMARD dose, TAP; 50% tapering followed by withdrawal of DMARDs, STOP). The primary endpoint was the proportion of patients in sustained DAS28-ESR remission after 1 year.Results:316 RA patients in sustained remission were included, 303 were randomized (CONT: N=100; TAP: N=102; STOP: N=101) and 282 (93%) had complete data sets after 1 year (CONT:N=93; TAP: N=93; STOP: N=96; Table 1). After 1 year, 81.2%, 58.6%, 43.3% of patients, maintained their remission state over 1 year in the CONT, TAP and STOP arms, respectively (p=0.0004 with log rank test for trend; Figure 1). Hazard ratios for flare were 3.02 (95%CI 1.69 to 5.40) and 4.34 (95%CI 2.48 to 7.60) for the TAP and STOP arms. RA patients who flared were more likely to be female, have longer disease duration, RF/ACPA positivity and higher baseline DAS-28 scores with standardized mean differences >0.2. Serious adverse events were reported in 10.8%, 7.5%, and 13.5% in the CONT, TAP and STOP arms, respectively.Table 1.Baseline CharacteristicsGroupControlReduceReduce/StopOverallN939396282Age, mean(SD)55.9 (12.7)56.9 (13.0)56.5 (13.3)56.5 (13.0)Female, n (%)53 (57.0)57 (62.0)57 (59.4)167 (59.4)RF, n (%)52 (55.9)58 (62.4)52 (54.2)162 (57.4)ACPA, n (%)53 (57.0)50 (54.9)55 (57.3)158 (56.4)Disease duration, years, mean(SD)7.6 (6.9)7.8 (6.9)6.8 (8.1)7.4 (7.3)Remission duration, months, mean(SD)20.6 (18.0)16.5 (15.9)22.7 (30.4)20.0 (22.6)Biologics, n (%)39 (41.9)44 (47.3)39 (40.6)122 (43.3)Methotrexate, n (%)71 (76.3)67 (72.0)75 (78.1)213 (75.5)Other DMARDs, n (%)24 (25.8)20 (21.5)16 (16.7)60 (21.3)Glucocorticoids, n (%)27 (29.0)23 (24.7)17 (17.7)67 (23.8)CRP, mg/L, mean(SD)0.3 (0.3)0.5 (0.5)0.5 (0.6)0.4 (0.5)ESR, mm/h, mean(SD)11.3 (8.4)12.2 (8.8)13.0 (10.0)12.2 (9.1)Tender joint count, mean(SD)0.2 (0.6)0.0 (0.2)0.1 (0.3)0.1 (0.4)Swollen joint count, mean(SD)0.1 (0.3)0.1 (0.3)0.1 (0.4)0.1 (0.3)Physician VAS,mm, mean(SD)1.8 (4.2)2.6 (4.4)2.0 (3.9)2.1 (4.2)Patient VAS,mm, mean(SD)6.4 (9.0)5.5 (8.3)4.5 (8.4)5.5 (8.6)HAQ, standard, mean(SD)0.2 (0.4)0.2 (0.3)0.2 (0.4)0.2 (0.4)HAQ, alternative, mean(SD)0.2 (0.4)0.1 (0.3)0.2 (0.3)0.2 (0.3)DAS-28, mean(SD)1.7 (0.7)1.7 (0.6)1.7 (0.6)1.7 (0.6)SDAI, mean(SD)1.4 (1.5)1.4 (1.5)1.3 (1.3)1.3 (1.4)DAS-28 remission, n (%)91 (97.8)93 (100.0)95 (99.0)279 (98.9)SDAI remission, n (%)79 (87.8)79 (84.9)88 (92.6)246 (88.5)Boolean remission, n (%)69 (75.8)71 (76.3)76 (79.2)216 (77.1)Conclusion:This randomized controlled study shows that half of RA patients in sustained remission relapse when tapering/stopping their DMARDs. Presence of autoantibodies, higher baseline DAS28-ESR and female sex are predictors for flares.References:[1]Schett G et al. Tapering biologic and conventional DMARD therapy in rheumatoid arthritis: current evidence and future directions. Ann Rheum Dis. 2016 Aug;75(8):1428-37.Disclosure of Interests:Melanie Hagen Speakers bureau: advisory boards, Koray Tascilar Speakers bureau: advisory board, Michaela Reiser: None declared, Larissa Valor: None declared, Judith Haschka Speakers bureau: advisory board, Arnd Kleyer Speakers bureau: advisory board, Axel Hueber Speakers bureau: advisory boards, Bernhard Manger Speakers bureau: advisory boards, Jayme Cobra Speakers bureau: advisory boards, Camille Figuereido Speakers bureau: advisory boards, Stephanie Finzel Speakers bureau: advisory boards, Hans-Peter Tony Speakers bureau: advisory boards, Joerg Wendler Speakers bureau: advisory boards, Stefan Kleinert Speakers bureau: advisory boards, Florian Schuch Speakers bureau: advisory boards, Monika Ronneberger: None declared, Martin Feuchtenberger Speakers bureau: advisory boards, Martin Fleck Speakers bureau: advisory boards, Karin Manger: None declared, Wolfgang Ochs: None declared, Matthias Schmitt-Haendle: None declared, Hanns-Martin Lorenz Speakers bureau: advisory boards, Rieke Alten Speakers bureau: advisory boards, Jörg Henes Speakers bureau: advisory boards, Klaus Krueger Speakers bureau: advisory boards, Jürgen Rech Speakers bureau: advisory boards, Georg Schett Speakers bureau: advisory boards.
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Tascilar K, Bayindir O, Dogru A, Tinazzi I, Kimyon G, Ozisler C, Erden A, Dalkilic E, Cetin GY, Yılmaz S, Solmaz D, Bakirci S, Omma A, Kasifoglu T, Kucuksahin O, Cinar M, Kilic L, Can M, Tarhan EF, Bilgin E, Ersozlu ED, Duruoz T, Yavuz S, Pehlevan S, Tufan MA, Gonullu E, Yildiz F, Esmen SE, Kucuk A, Tufan A, Balkarli A, Mercan R, Yazisiz V, Erten S, Akar S, Aksu K, Aydin SZ, Kalyoncu U. Association of disease characteristics with the temporal sequence of skin and musculoskeletal disease onset in psoriatic arthritis. Br J Dermatol 2021; 184:1202-1203. [PMID: 33481249 DOI: 10.1111/bjd.19826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 01/15/2021] [Accepted: 01/15/2021] [Indexed: 11/28/2022]
Affiliation(s)
- K Tascilar
- Department of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg, University Hospital Erlangen, Erlangen, Germany
| | - O Bayindir
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Dogru
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - I Tinazzi
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - G Kimyon
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - C Ozisler
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Erden
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - E Dalkilic
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - G Y Cetin
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Yılmaz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - D Solmaz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Bakirci
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Omma
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - T Kasifoglu
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - O Kucuksahin
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - M Cinar
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - L Kilic
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - M Can
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - E F Tarhan
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - E Bilgin
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - E D Ersozlu
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - T Duruoz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Yavuz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Pehlevan
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - M A Tufan
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - E Gonullu
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - F Yildiz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S E Esmen
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Kucuk
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Tufan
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - A Balkarli
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - R Mercan
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - V Yazisiz
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Erten
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Akar
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - K Aksu
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - S Z Aydin
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
| | - U Kalyoncu
- Faculty of Medicine, Department of Internal Medicine, Division of Rheumatology, Hacettepe University, Ankara, Turkey
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Ozguler Y, Hatemi G, Cetinkaya F, Tascilar K, Hamuryudan V, Ugurlu S. Clinical Course of Acute Deep Vein Thrombosis of the Legs in Behçet's Syndrome. J Vasc Surg Venous Lymphat Disord 2020. [DOI: 10.1016/j.jvsv.2020.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Simon D, Tascilar K, Kleyer A, Bayat S, Kampylafka E, Hueber A, Rech J, Schuster L, Engel K, Sticherling M, Schett G. OP0051 STRUCTURAL ENTHESEAL LESIONS IN PSORIASIS PATIENTS ARE ASSOCIATED WITH AN INCREASED RISK OF PROGRESSION TO PSORIATIC ARTHRITIS - A PROSPECTIVE COHORT STUDY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1524] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:We have previously reported that the presence of musculoskeletal pain in psoriasis patients is associated with a higher risk of developing psoriatic arthritis (PsA) (1). Furthermore, a subset of psoriasis patients shows evidence for structural entheseal lesions (SEL) in their hand joints (2), sometimes also referred as “Deep Koebner Phenomenon”, which are highly specific for psoriatic disease and virtually absent in healthy controls, rheumatoid arthritis and hand osteoarthritis patients (2-4). However, it remains unclear whether SEL alone or in combination with musculoskeletal pain are associated with the development of PsA.Objectives:To test whether the presence of SEL in psoriasis patients increases the risk for progression to PsA and how this is related to the presence of musculoskeletal pain.Methods:Psoriasis patients without evidence of PsA were enrolled in a prospective cohort study between 2011 and 2018. All patients underwent baseline assessment of SEL in their 2ndand 3rdMCP joints by high-resolution peripheral quantitative computed tomography (HR-pQCT). The risk of PsA development associated with SEL and arthralgia was explored using survival analyses and multivariable Cox regression models.Results:114 psoriasis patients (72 men/42 women) with a mean (SD) follow-up duration of 28.2 (17.7) months were included, 24 of whom developed PsA (9.7 /100 patient-years, 95%CI 6.2 to 14.5) during the observation period. Patients with SEL (N=41) were at higher risk of developing PsA compared to patients without such lesions (21.4/100 patient-years, 95%CI 12.5 to 34.3, HR 5.10, 95%CI 1.53 to 16.99, p=0.008) (Kaplan Meier plot A). Furthermore, while patients without arthralgia and without SEL had a very low progression rate to PsA (1/29; 3.4%), patients with arthralgia but no SEL showed higher progression (5/33; 15.2%), which was in line with previous observations (1) (Kaplan Meier plot B). Presence of SEL further enhanced the risk for progression to PsA both in the absence (6/16; 37.5%) and presence (6/14; 42.8%) of arthralgia with the highest progression rate in those subjects with both arthralgia and SEL (p<0.001 by log rank test for trend) (Kaplan Meier plot B).Conclusion:Presence of SEL is associated with an increased risk of developing PsA in patients with psoriasis. If used together with pain, SEL allow defining subsets of psoriasis patients with very low and very high risk to develop PsA.References:[1]Faustini F et al. Ann Rheum Dis. 2016;75:2068-2074[2]Simon D et al. Ann Rheum Dis. 2016;75:660-6[3]Finzel S et al. Ann Rheum Dis. 2011;70:122-7[4]Finzel S et al. Arthritis Rheum. 2011;63:1231-6Disclosure of Interests:David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Koray Tascilar: None declared, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, Sara Bayat Speakers bureau: Novartis, Eleni Kampylafka Speakers bureau: Novartis, BMS, Janssen, Axel Hueber Grant/research support from: Novartis, Lilly, Pfizer, Consultant of: Abbvie, BMS, Celgene, Gilead, GSK, Lilly, Novartis, Speakers bureau: GSK, Lilly, Novartis, Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Louis Schuster: None declared, Klaus Engel: None declared, Michael Sticherling Grant/research support from: Novartis, Consultant of: Advisory boards Abbvie, Celgene, Janssen Cilag, Lilly, Pfizer, MSD, Novartis, Amgen, Leo, Sanofi, UCB, Speakers bureau: Abbvie, Celgene, Janssen Cilag, Leo, MSD, Novartis, Pfizer, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB
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Vodencarevic A, Tascilar K, Hartmann F, Reiser M, Bayat S, Knitza J, Valor L, Hagen M, Hueber A, Kleyer A, Zimmermann-Rittereiser M, Schett G, Simon D. SAT0055 PREDICTION OF FLARES FOR RHEUMATOID ARTHRITIS PATIENTS ON BIOLOGIC DMARDS USING MACHINE LEARNING AND SUBSETS OF VARIABLES AVAILABLE TO PHYSICIANS, PATIENTS AND PAYERS. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Today approximately 50 percent of patients with RA reach sustained remission. In a specific subset of RA patients in stable remission, biological Disease Modifying Anti-Rheumatic Drugs (bDMARDs) may be successfully tapered. However, it remains challenging to predict the patients’ individual flare risk. As we have recently shown, machine learning based on extensive clinical and laboratory data could be used to estimate individual flare risk [1].Objectives:In this study we aimed to investigate the performance of machine learning models trained with variables that are typically (1) immediately available to a physician during patient visits (clinical and demographic variables without laboratory values and composite disease activity scores), (2) theoretically available to patients at home and (3) available to payers in large health-system databases.Methods:Longitudinal clinical data of RA patients on bDMARDs from the first interim analysis of the phase-3, multicentre, randomised, open, prospective, controlled, parallel-group RETRO study (EudraCT number 2009-015740-42) was used [2] to build a predictive model for estimating the flare probability within 3 months from the current patient visit. A flare was defined as a DAS-28 ESR score over 2.6. Four different models (log. regression, random forest, k-NN and naïve Bayes) were trained which output the flare probability at each patient visit. These probabilities were used as an input for a stacking logistic regression meta-classifier [3]. The final model performance expressed as the AUROC was assessed using nested cross-validation [4]. We applied this method to three variable subsets (physician, patient, payer, Table 1).Table 1.List of variables used in three subsets:Variable / RolePhysicianPatientPayerGender (m/f)xxxDisease duration (years)xxxMethotrexate co-use (yes/no)xxxOther DMARDs co-use (yes/no)xxxDrug ATC codexxxIV-administration (yes/no)xxxDose percentagexxxAgexxxBody mass indexxxxDose percentage changexxxSwollen joint countxTender joint countxVAS_GH (pat. global disease activity)xxHAQ (health assessment questionnaire)xxSmoking status (yes/no/ex)xxAlcohol consumption (yes/no)xxPrevious flares (yes/no)xResults:Data from 135 follow-ups of 41 patients were used. The measured AUROC of the best performing model using all RETRO variables was 0.802 (95%CI 0.717 – 0.887) [1]. When a subset based on demographic and clinical variables is used that is available to a physician immediately during a patient visit the AUROC drops about 5 percent points. When only variables theoretically available to patients at home are used, the performance drops about 10 percent points comparing to the original model. Similar observation holds for the variable subset typically available to payers (Figure 1).Conclusion:This study shows that predictive models for flares have the potential to support physicians in making decisions immediately during the patient visit, even though laboratory values and respective activity scores are not yet available. In the future, machine learning applications may allow fast and reliable decisions on flare prediction in RA patients. These data can guide decisions about DMARD tapering at in real time during the physician-patient contact and allow to reduce costs not only by selective treatment tapering but also by sparing additional laboratory examinations.References:[1] Vodencarevic A. et al. Arthritis Rheumatol. 2019; 71[2] Haschka J et al. Ann Rheum Dis 2016; 75:45-51.[3] Tang J et al. CRC Press 2015; 498-500[4] Cawley GC et al. J Mach Learn Res 2010; 11:2079-2107Disclosure of Interests:Asmir Vodencarevic Shareholder of: Siemens Healthcare GmbH. Siemens Healthcare GmbH is a medical technology company (NOT a pharmaceutical company)., Employee of: Siemens Healthcare GmbH. Siemens Healthcare GmbH is a medical technology company (NOT a pharmaceutical company)., Koray Tascilar: None declared, Fabian Hartmann: None declared, Michaela Reiser: None declared, Sara Bayat Speakers bureau: Novartis, Johannes Knitza Grant/research support from: Research Grant: Novartis, Larissa Valor: None declared, Melanie Hagen: None declared, Axel Hueber Grant/research support from: Novartis, Lilly, Pfizer, Consultant of: Abbvie, BMS, Celgene, Gilead, GSK, Lilly, Novartis, Speakers bureau: GSK, Lilly, Novartis, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, Marcus Zimmermann-Rittereiser Shareholder of: Siemens Healthcare GmbH. Siemens Healthcare GmbH is a medical technology company (NOT a pharmaceutical company)., Employee of: Siemens Healthcare GmbH. Siemens Healthcare GmbH is a medical technology company (NOT a pharmaceutical company)., Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly
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Bayat S, Tascilar K, Kaufmann V, Kleyer A, Simon D, Knitza J, Hartmann F, Adam S, Hueber A, Schett G. AB0330 HIGH REMISSION RATES IN RA – REAL LIFE DATA FROM BARITICINIB. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
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
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Rech J, Tascilar K, Schenker H, Hagen M, Sergeeva M, Selvakumar M, Konerth L, Prade J, Strobelt S, Schönau V, Valor L, Hueber A, Simon D, Kleyer A, Behrens F, Baerwald C, Finzel S, Voll R, Feist E, Da Silva JAP, Doerfler A, Damjanov N, Hess A, Schett G. OP0117 LONGITUDINAL CHANGE IN THE CENTRAL NERVOUS SYSTEM PAIN RESPONSE AFTER TREATMENT WITH CERTOLIZUMAB OR PLACEBO. A POST-HOC ANALYSIS FROM THE PRECEPRA TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Tumor necrosis factor inhibitors have revolutionized the treatment of rheumatoid arthritis (RA). However, only about 50% of the patients respond well to TNF inhibitors. Therefore, markers that predict response to TNF inhibitors are valuable. Previously we demonstrated that central nervous system (CNS) response to nociceptive stimuli, measured by fMRI of the brain as blood oxygen level dependent (BOLD) signals, decreases already after 24 hours of anti-TNF administration a higher pre-treatment BOLD signal volume seems to predict clinical response to treatment with certolizumabpegol (CZP)1,2. We therefore hypothesized that the baseline volume of BOLD signal in the CNS could predict anti-TNF treatment response.Objectives:To perform a randomized placebo controlled trial in active RA patients to test the effect of TNF inhibition on arthritis induced pain activity in the brain and to test whether patients with high-level RA-related brain activation react differently to TNF-inhibitors than patients with low-level brain activation.Methods:Adult RA patients fulfilling the 2010 ACR/EULAR classification criteria with a DAS28>3.2 receiving stable DMARD treatment for at least 3 months were eligible. Patients underwent the first fMRI at screening measuring BOLD signal upon MCP joint compression and were stratified into low (< 700 units) and high (>700 units) voxel counts. Then patients were randomized to CZP or placebo with a 2:1 ratio. The second and third fMRI were performed after 12 and 24 weeks, respectively. Control stimulation was done by measuring brain activation after non-painful finger tapping.Results:156 RA patients with moderate-to-high disease activity participated in the study. In the finger tapping control, fMRI showed no significant changes in BOLD signal in the CZP-L and CZP-H arms, but a slight but significant decrease (p=0.043) was observed. After joint compression, the CZP-L group showed significant increase in the BOLD signal volume (p=0.043) in fMRI-2 as compared to fMRI-1 with no further significant changes. In contrast, in the CZP-H group, the BOLD signal volume significantly decreased (p=0.037) in fMRI-2 and continued to decrease further, p=0.007. No significant changes were observed in the placebo arm over time.Conclusion:TNF inhibition improves arthritis-related brain activity in the subgroup of RA patients with high baseline BOLD activity in the fMRI.References:[1]Hess, A.et al.PNAS (2011).[2]Rech, J. et al. Arthritis & Rheumatism (2013).Fig 1.BOLD fMRI responses to painful stimulationAcknowledgments:The study was supported by an unrestricted grant of UCB Biopharma SPRL Brussels, BelgiumDisclosure of Interests:Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Koray Tascilar: None declared, Hannah Schenker: None declared, Melanie Hagen: None declared, Marina Sergeeva: None declared, Mageshwar Selvakumar: None declared, Laura Konerth: None declared, Jutta Prade: None declared, Sandra Strobelt: None declared, Verena Schönau: None declared, Larissa Valor: 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, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis, Abbvie, Speakers bureau: Novartis, Lilly, Frank Behrens Grant/research support from: Abbvie, Pfizer, Roche, Chugai, Janssen, Consultant of: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, Speakers bureau: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, Christoph Baerwald Consultant of: CGB received speaker or consulting fees from AbbVie, Paid instructor for: CGB received speaker or consulting fees from AbbVie, Speakers bureau: CGB received speaker or consulting fees from AbbVie, Stephanie Finzel: None declared, Reinhard Voll: None declared, Eugen Feist Consultant of: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Speakers bureau: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, José Antonio P. da Silva Grant/research support from: Pfizer, Abbvie, Consultant of: Pfizer, AbbVie, Roche, Lilly, Novartis, Arnd Doerfler: None declared, Nemanja Damjanov Grant/research support from: from AbbVie, Pfizer, and Roche, Consultant of: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Speakers bureau: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Andreas Hess: None declared, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB
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Rech J, Tascilar K, Schenker H, Sergeeva M, Selvakumar M, Konerth L, Prade J, Strobelt S, Hagen M, Schönau V, Valor L, Hueber A, Simon D, Kleyer A, Behrens F, Da Silva JAP, Baerwald C, Finzel S, Voll R, Feist E, Doerfler A, Damjanov N, Hess A, Schett G. SAT0050 PREDICTION OF RESPONSE TO CERTOLIZUMAB PEGOL TREATMENT BY FUNCTIONAL MRI OF THE BRAIN: AN INTERNATIONAL, MULTI-CENTER, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL (PRECEPRA). Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.4288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Personalization of RA treatment is not optimal due to lack of predictors. We previously demonstrated in RA patients that central nervous system (CNS) pain response to tender joint compression, measured by using functional MRI (fMRI) of the brain rapidly wanes after 24 hours of anti-TNF administration and that a higher pre-treatment BOLD signal volume seems to predict clinical response to treatment with certolizumab-pegol (CZP)1,2. We therefore hypothesized that the CNS pain response upon compression of a painful joint could predict subsequent anti-TNF treatment response.Objectives:To compare disease activity after 12-weeks of CZP treatment to that of placebo in DMARD-refractory RA patients based on pre-treatment baseline CNS pain response measured using BOLD fMRI.Methods:Adult RA patients fulfilling the 2010 ACR/EULAR classification criteria with a DAS28>3.2 under stable DMARD treatment for at least 3 months were eligible. Patients underwent fMRI scanning of the brain at screening for stratification by CNS pain response. Whole brain BOLD-signal-voxel-count of 700 units classifying between low and high, and were randomized to CZP or placebo (2:1) The primary outcome was low disease activity (LDA, DAS28 ≤3.2) after 12 weeks of treatment.Results:156 RA patients, inadequate responders to csDMARD, signed the informed consent. 139 patients (46/47, 46/49 and 42/43) (99 females, 71%) with moderate-high disease activity (mean (SD) DAS-28: 4.83 (1.03)) could be included respectively and completed the 12-week study treatment. Geometric mean (SD) numbers of baseline BOLD signal positive voxels were 559 (10), 81 (12) and 2498 (3) in the 3 arms respectively. The mean DAS28 (SD) scores after 12 weeks of study treatment were Placebo: 3.89 (1.29), CZP-L: 3.42 (1.06) and CZP-H: 3.06 (1.04). LDA was achieved in 12/47 patients (25.5 %) in placebo, 22/49 (44.9%) in the CZP-L, and 25/43, (58.1%) in the CZP-H arm. The linear effect term for the ordinal study group variable supported a linear trend of increasing CZP treatment effect with increasing baseline CNS pain response. RR (95% CI) for achieving LDA with each unit increase in treatment category over placebo was 1.79 (1.24 to 2.74, p=0.003).Conclusion:A higher pre-treatment brain activity in response to pain measured with fMRI predicts the chance of achieving low disease activity with CZP treatment.References:[1] Hess, A.et al.PNAS (2011)[2] Rech, J.et al. Arthritis & Rheumatism(2013).Acknowledgments :The study was supported by an unrestricted grant from UCB Biopharma SPRL, Brussels, BelgiumDisclosure of Interests:Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Koray Tascilar: None declared, Hannah Schenker: None declared, Marina Sergeeva: None declared, Mageshwar Selvakumar: None declared, Laura Konerth: None declared, Jutta Prade: None declared, Sandra Strobelt: None declared, Melanie Hagen: None declared, Verena Schönau: None declared, Larissa Valor: 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, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, Frank Behrens Grant/research support from: Abbvie, Pfizer, Roche, Chugai, Janssen, Consultant of: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, Speakers bureau: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, José Antonio P. da Silva Grant/research support from: Pfizer, Abbvie, Consultant of: Pfizer, AbbVie, Roche, Lilly, Novartis, Christoph Baerwald Consultant of: CGB received speaker or consulting fees from AbbVie, Paid instructor for: CGB received speaker or consulting fees from AbbVie, Speakers bureau: CGB received speaker or consulting fees from AbbVie, Stephanie Finzel: None declared, Reinhard Voll: None declared, Eugen Feist Consultant of: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Speakers bureau: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Arnd Doerfler: None declared, Nemanja Damjanov Grant/research support from: from AbbVie, Pfizer, and Roche, Consultant of: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Speakers bureau: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Andreas Hess: None declared, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB
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Schenker H, Rech J, Tascilar K, Hagen M, Schönau V, Sergeeva M, Selvakumar M, Konerth L, Prade J, Strobelt S, Valor L, Hueber A, Simon D, Kleyer A, Behrens F, Da Silva JAP, Baerwald C, Finzel S, Voll R, Feist E, Doerfler A, Damjanov N, Hess A, Schett G. OP0218 CENTRAL NERVOUS SYSTEM PAIN RESPONSE AND COMPONENTS OF DISEASE ACTIVITY IN RA PATIENTS AFTER TREATMENT WITH CERTOLIZUMAB OR PLACEBO: A POST-HOC ANALYSIS FROM THE PRECEPRA TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:We have previously observed in RA patients that central nervous system (CNS) response to compression of a painful joint, measured using functional MRI (fMRI) of the brain as the number of blood oxygen level dependent (BOLD) signal positive voxels, is rapidly ameliorated, much earlier than any clinical response with anti-TNF treatment and a high baseline CNS pain response could predict better response to certolizumab pegol (CZP) treatment. Pre-CePRA was designed and conducted to test this effect in a randomized, placebo controlled trial of CZP and showed an incremental linear trend of DAS28 low disease activity (LDA) across study groups treated with placebo, and two CZP arms stratified as low or high pre-treatment CNS pain response.Objectives:To explore and describe pre-treatment CNS pain response associations with post treatment course of RA disease activity components and patient-physician discrepancy in global disease assessment.Methods:Patients fulfilling the 2010 ACR/EULAR classification criteria with moderate-severe disease activity (DAS-28>3.2) under stable DMARD treatment were recruited. Patients underwent an fMRI scan, stratified by a whole-brain BOLD positive voxel count threshold of 700 units and randomized to treatment with CZP or placebo in a 2:1 ratio. We descriptively assessed components of RA disease activity (Table 1 + 2). We summarized the mean results and 95% confidence intervals of these measurements at study timepoints and compared the 3 study groups at week 12 using one-way ANOVA and post-hoc Tukey tests.Results:156 eligible patients were screened and 139 (99 females, 71%) patients with moderate-high disease activity were randomized. ANOVA and pairwise comparisons showed that PGA-VAS improvement was larger in the CZP-H group whereas more similar to that in placebo in the CZP-L group. PhysGA-VAS however was similarly reduced in both CZP groups. Patients in the CZP-L group constantly rated their pain numerically higher than physicians whereas in the CZP-H group an initially higher discrepancy numerically reduced over time.Conclusion:These results suggest that improved patient global disease activity assessment could be the main driver of improved DAS-28 LDA rates with CZP treatment in patients with a high CNS pain response. Our findings indicate a potential role of fMRI imaging of the brain to further understand disease activity perception in RA patients.Figure 1.Course of disease activity components through trial timepoints. *indicates log-transformed y axis. *#x002A; Discrepancy equals Patient global minus physician global assessment.Disclosure of Interests:Hannah Schenker: None declared, Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Koray Tascilar: None declared, Melanie Hagen: None declared, Verena Schönau: None declared, Marina Sergeeva: None declared, Mageshwar Selvakumar: None declared, Laura Konerth: None declared, Jutta Prade: None declared, Sandra Strobelt: None declared, Larissa Valor: 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, David Simon Grant/research support from: Else Kröner-Memorial Scholarship, Novartis, Consultant of: Novartis, Lilly, Arnd Kleyer Consultant of: Lilly, Gilead, Novartis,Abbvie, Speakers bureau: Novartis, Lilly, Frank Behrens Grant/research support from: Abbvie, Pfizer, Roche, Chugai, Janssen, Consultant of: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, Speakers bureau: Abbvie, Pfizer, Roche, Chugai, UCB, BMS, Celgene, MSD, Novartis, Biotest, Janssen, Genzyme, Lilly; Boehringer; Sandoz, José Antonio P. da Silva Grant/research support from: Pfizer, Abbvie, Consultant of: Pfizer, AbbVie, Roche, Lilly, Novartis, Christoph Baerwald Consultant of: CGB received speaker or consulting fees from AbbVie, Paid instructor for: CGB received speaker or consulting fees from AbbVie, Speakers bureau: CGB received speaker or consulting fees from AbbVie, Stephanie Finzel: None declared, Reinhard Voll: None declared, Eugen Feist Consultant of: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Speakers bureau: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Arnd Doerfler: None declared, Nemanja Damjanov Grant/research support from: from AbbVie, Pfizer, and Roche, Consultant of: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Speakers bureau: AbbVie, Gedeon Richter, Merck, Novartis, Pfizer, and Roche, Andreas Hess: None declared, Georg Schett Speakers bureau: AbbVie, BMS, Celgene, Janssen, Eli Lilly, Novartis, Roche and UCB
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Berlin A, Simon D, Tascilar K, Figueiredo C, Bayat S, Finzel S, Klaus E, Rech J, Hueber AJ, Kleyer A, Schett G. The ageing joint-standard age- and sex-related values of bone erosions and osteophytes in the hand joints of healthy individuals. Osteoarthritis Cartilage 2019; 27:1043-1047. [PMID: 30890457 DOI: 10.1016/j.joca.2019.01.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 01/06/2019] [Accepted: 01/29/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To analyze the age-related changes of the physiological hand joint architecture. METHOD To address this concept, healthy individuals (each 10 women and 10 men in six different age decades spanning from 21 to 80 years) were recruited through a field campaign, investigated for the absence of rheumatic diseases and other comorbidities and received high-resolution quantitative computed tomography (HR-pQCT) examination of the hand joints. Number and extent of erosions and osteophytes were quantified across the ages and different sexes. RESULTS Bone erosions [median (Q1-Q3), 1 (0-2)] and osteophytes [2 (1-4)] were found in healthy women and men with no significant sex differences. Structural changes however accumulated with age: the overall incidence rate ratio (IRR) for the number of erosions and osteophytes per age were 1.04 (95% CI: erosions 1.03-1.06; osteophytes: 1.03-1.05). This means a 4% increase in the number of erosions and osteophytes per year. Using third decade as reference, healthy individuals in the age decades from 50 years had higher IRR for erosion numbers (sixth, seventh, eigth decade: 4.87 (2.20-11.75), 6.81 (3.08-16.46) and 6.92 (3.11-16.79)) compared to younger subjects (fourth, fifth decade: 1.80 (0.69-4.87), 1.53 (0.59-4.10)). The IRRs of osteophytes also indicate a gradual increase after the fifth decade, with IRRs of 2.32 (1.32-4.17), 4.17 (2.38-7.49) and 6.86 (3.97-12.20) for the sixth, seventh and eigth decades, respectively. CONCLUSIONS Structural changes in the hand joints of healthy individuals are age dependent. While being rare under 50 years of age, erosions and osteophytes accumulate above the age of 50, suggesting that the threshold between "normal" and "pathological" is shifted with the increase of age.
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Affiliation(s)
- A Berlin
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - D Simon
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - K Tascilar
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - C Figueiredo
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - S Bayat
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - S Finzel
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - E Klaus
- Institute of Medical Physics (IMP), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - J Rech
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - A J Hueber
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - A Kleyer
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
| | - G Schett
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander University Erlangen-Nuremberg (FAU) and Universitaetsklinikum Erlangen, Erlangen, Germany.
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Tascilar K, Hatemi G, Inanc N, Simsek I, Swearingen C, Cinar M, Ugurlu S, Yilmaz S, Ozen G, Pay S, Direskeneli H, Yazici Y. SAT0593 Discrepancy between Patients and Physicians on Global Disease Assessment of RA and Its Determinants: An Analysis from The TRAV Cohort. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.5857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Hatemi G, Tascilar K, Ozguler Y, Ugurlu S, Hamuryudan V. THU0284 Work Disability Over Time in Behçet's Syndrome Patients. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.5822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Bozcan S, Ozguler Y, Saygin C, Uzunaslan D, Tascilar K, Ugurlu S, Hatemi G. FRI0281 Predictors of Quality of Life in Behçet's Syndrome. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.5945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Ozguler Y, Esatoglu S, Keskin D, Hatemi G, Hamuryudan V, Pala A, Ugurlu S, Tascilar K, Melikoglu M, Seyahi E, Fresko I, Ozdogan H, Yurdakul S, Ongen G, Yazici H. AB0435 Malignancies in Rheumatoid Arthritis Patients Treated with TNF-Alpha Antagonists. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.4337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Tascilar K, Atac E, Esen F, Yazici H. SAT0466 The “table-1 P value” issue; baseline group comparison is inappropriately omitted in non-randomized studies. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.3412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Yazici H, Tascilar K, Yazici Y, Kiroglu G, Duransoy L, Erar A. FRI0422 A possible source of error in the method of cancer risk estimation in patients with rheumatoid arthritis. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.2879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hamuryudan V, Hatemi G, Ozyazgan Y, Ucar D, Yurdakul S, Seyahi E, Tascilar K, Ugurlu S, Yazici H. FRI0337 Infliximab for sight-threatening and refractory uveitis of behçet’s syndrome. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.1464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Buyuktas D, Hatemi G, Yuksel Findikoglu S, Tascilar K, Ugurlu S, Yurdakul S. THU0208 Fatigue is an important problem in patients with behcet’s syndrome:. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.2173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Simsek I, Inanc N, Hatemi G, Pay S, Erdem H, Yilmaz S, Cinar M, Can M, Tascilar K, Ugurlu S, Cakir N, McCracken W, Swearingen C, Direskeneli H, Yazici Y. AB1339 Similar disease activity levels in US and turkish RA patients despite more biologic and methotrexate use in the US than turkey. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.1333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hatemi G, Inanc N, Simsek I, Tascilar K, Ugurlu S, Can M, Pay S, Erdem H, Yilmaz S, Cinar M, Cakir N, McCracken W, Swearingen C, Direskeneli H, Yazici Y. AB1332 Agreement in physician and patient reported measures for ra activity among US and turkish RA patients: More similar than not. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.1327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Saygin C, Uzunaslan D, Hatemi G, Tascilar K, Yazici H. FRI0364 Fertility in behçet’s syndrome: structured interview in a multidisciplinary center. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.1491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Inanc N, Hatemi G, Simsek I, Ozen G, Tascilar K, Ugurlu S, Pay S, Erdem H, Yilmaz S, Cinar M, Swearingen CJ, Direskeneli H, Yazici Y. SAT0067 Moderate/Severe Disease Activity vs Low Disease Activity/Remission: Patient Characteristics and Differences Among Patients from United States and Turkey. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.1793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Inanc N, Hatemi G, Simsek I, Can M, Tascilar K, Ugurlu S, Pay S, Erdem H, Yilmaz S, Cinar M, Cakir N, McCracken W, Swearingen C, Direskeneli H, Yazici Y. AB1368 Insights from a routine care rheumatoid arthritis registry in turkey (TRAV): A third of rheumatoid arthritis patients are in remission/low disease activity and 1/5 are on biologic agents. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.1362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Uzunaslan D, Saygin C, Hatemi G, Ozguler Y, Tascilar K, Yazici H, Hamuryudan V. AB0454 Suicidal ideation among patients with behcet’s syndrome. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.2776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ozguler Y, Melikoglu M, Cetinkaya F, Ugurlu S, Tascilar K, Yazici H. FRI0240 The clinical course of the acute deep vein thrombosis of the legs in behÇet’s syndrome. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2012-eular.2697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Yildirim K, Uzkeser H, Uyanik A, Karatay S, Kiziltunc A, Yildirim K, Uzkeser H, Keles M, Karatay S, Kiziltunc A, Kaya MD, Serdal CO, Emire S, Fatih K, Ayla Y, Hasan T, Hasan Y, Radic M, Radic J, Kaliterna DM, Ugurlu S, Engin A, Ozgon G, Hatemi G, Akyayla E, Bakir M, Ozdogan H, Ozdogan H, Hatemi G, Ugurlu S, Ozguler Y, Masatlioglu S, Celik S, Kilic H, Cengiz M, Ugurlu S, Hamuryudan V, Ozyazgan Y, Seyahi E, Hatemi G, Yurdakul S, Yazici H, Hamuryudan V, Hatemi G, Yurdakul S, Mat C, Tascilar K, Ozyazgan Y, Seyahi E, Ugurlu S, Yazici H, Ozdogan H, Ugurlu S, Hatemi G, Demirel Y, Calli S, Ozgon G, Yildirim S, Batumlu M, Cevirgen D, Akyayla E, Celik S, Masatlioglu S, Ozguler Y, Cengiz M, Kilic H, Alpaslan O, Balli M, Sametoglu F, Doganyilmaz D, Cermik TF, Erdede MO, Yesilada BY, Yilmaz M, Saglam M, Pinar B, Figen T, Seher K, Muyesser O, Emel G, Meral E, Karatay S, Uzkeser H, Uzkeser H, Karatay S, Yildirim K, Karakuzu A, Uyanik MH, Yildirim K, Karatay S, Atasoy M, Gundogdu F, Aktan B, Alper F, Kantarci AM, Agrogianni X, Lintzeris I, Lintzeri A, Nas K, Demircan Z, Karakoc M, Yuksel U, Cevik R, Sumer TT, Zagar I, Gaspersic N, Rafa H, Medjeber O, Belkhelfa M, Hakem D, Touil-Boukoffa C, Aydogdu E, Donmez S, Pamuk GE, Pamuk ON, Cakir N, Shahril NS, Mageswaren E, Isa LM, Rajalingam S, Abdullah F, Kaslan MR, Samsudin AT, Arbi A, Hussein H, Brandao M, Caldas AR, Marinho A, da Silva AM, Farinha F, Vasconcelos C, Choi CB, Park SR, Wha Lee K, Bae SC, Beg S, Popovich J, Sessoms S, Dimitroulas T, Giannakoulas G, Papadopoulou K, Karvounis H, Dimitroula H, Koliakos G, Karamitsos T, Parcharidou D, Settas L, Nandagudi AC, Ziaj S, Dabrera GM, Kim T, Kim K, Bae SC, Kang C. Thematic stream: systemic autoimmune diseases (PP32-PP58): PP32. Trace Element Levels in Patients with Familial Mediterranean Fever as Compared to Healthy Controls. Rheumatology (Oxford) 2011. [DOI: 10.1093/rheumatology/ker098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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