Heterogeneity in patient characteristics and differences in treatment across four Canadian rheumatoid arthritis cohorts

2021 ◽  
pp. jrheum.201688
Author(s):  
Glen S. Hazlewood ◽  
Claire Bombardier ◽  
Xiuying Li ◽  
Mohammad Movahedi ◽  
Denis Choquette ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Regional Differences ◽  
Clinical Characteristics ◽  
Dual Therapy ◽  
Patient Characteristics ◽  
Research Initiative ◽  
Drug Treatments ◽  
Health Registry ◽  
Precision Health ◽  
Rheumatic Drug

Objective To compare clinical characteristics and treatment of patients with rheumatoid arthritis (RA) across 4 Canadian cohorts. Methods The four longitudinal cohorts included: The Canadian Early Arthritis Cohort (CATCH) (n=2878); Ontario Best Practices Research Initiative (OBRI) (n=3734); RHUMADATA® (Quebec, n=2890), and the Rheum4U Precision Health Registry (Calgary, n=709). Data were from cohort inception (range 1998-2016) to 2020. Clinical characteristics and drug treatments were summarized descriptively. Results 10,211 patients with RA were included. The percentage of patients who entered the cohort with early RA ( ≤ 2 years of disease at enrolment) ranged from 29% (Rheum4U) to 100% (CATCH). Mean age (55 years), sex (74% female) and seropositivity (69%) were similar between cohorts. At the time of initial disease modifying anti-rheumatic drug (DMARD) use, median disease activity scores (DAS-28) varied, ranging from 2.99 (Rheum4U) to 5.19 (CATCH), but were more similar at the time of the first DMARD switch (range:3.57-5.03), first biologic or targeted synthetic DMARD (bDAMRD, tsDMARD) use (range:4.01-4.67) and second bDAMRD or tsDMARD (range:3.71-4.39). The initial DMARD was most commonly methotrexate, either in monotherapy (32%, range:18%-40%) or dual therapy (34%, range:29%- 42%). The first DMARD switch was to another DMARD monotherapy in 20% (range:10%- 32%), dual therapy in 49% (range:39%-56%), and bDMARD or tsDMARD in 24% (range:15%- 28%). The first bDMARD was an anti-TNF in 79% (range:78%-85%). Conclusion Canadian RA cohorts demonstrate some heterogeneity in treatment which could reflect differences in inclusion criteria, calendar year, or regional differences. This project is a first step towards conducting harmonized analyses across Canadian RA cohorts.

scholarly journals Comparing Patient Characteristics, Clinical Outcomes, and Biomarkers of Severe Asthma Patients in Taiwan

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 764
Author(s):  
Shih-Lung Cheng ◽  
Kuo-Chin Chiu ◽  
Hsin-Kuo Ko ◽  
Diahn-Warng Perng ◽  
Hao-Chien Wang ◽  
...  
Keyword(s):  
Severe Asthma ◽  
Clinical Characteristics ◽  
Linear Models ◽  
Patient Characteristics ◽  
Emergency Department Visits ◽  
Receiver Operating Characteristic Curves ◽  
Increased Risk ◽  
Significant Difference ◽  
Asthma Patients ◽  
Patients At Risk

Purpose: To understand the association between biomarkers and exacerbations of severe asthma in adult patients in Taiwan. Materials and Methods: Demographic, clinical characteristics and biomarkers were retrospectively collected from the medical charts of severe asthma patients in six hospitals in Taiwan. Exacerbations were defined as those requiring asthma-specific emergency department visits/hospitalizations, or systemic steroids. Enrolled patients were divided into: (1) those with no exacerbations (non-exacerbators) and (2) those with one or more exacerbations (exacerbators). Receiver operating characteristic curves were used to determine the optimal cut-off value for biomarkers. Generalized linear models evaluated the association between exacerbation and biomarkers. Results: 132 patients were enrolled in the study with 80 non-exacerbators and 52 exacerbators. There was no significant difference in demographic and clinical characteristics between the two groups. Exacerbators had significantly higher eosinophils (EOS) counts (367.8 ± 357.18 vs. 210.05 ± 175.24, p = 0.0043) compared to non-exacerbators. The optimal cut-off values were 292 for EOS counts and 19 for the Fractional exhaled Nitric Oxide (FeNO) measure. Patients with an EOS count ≥ 300 (RR = 1.88; 95% CI, 1.26–2.81; p = 0.002) or FeNO measure ≥ 20 (RR = 2.10; 95% CI, 1.05–4.18; p = 0.0356) had a significantly higher risk of exacerbation. Moreover, patients with both an EOS count ≥ 300 and FeNO measure ≥ 20 had a significantly higher risk of exacerbation than those with lower EOS count or lower FeNO measure (RR = 2.16; 95% CI, 1.47–3.18; p = < 0.0001). Conclusions: Higher EOS counts and FeNO measures were associated with increased risk of exacerbation. These biomarkers may help physicians identify patients at risk of exacerbations and personalize treatment for asthma patients.

scholarly journals 369. Clinical Characteristics of the First 177 Patients Admitted with COVID-19 at a Bronx Community Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S254-S254
Author(s):  
Victoria Bengualid ◽  
Maria Martinez ◽  
Zhenisa Hysenaj ◽  
Debra M Willner ◽  
Judith Berger
Keyword(s):  
Oxygen Saturation ◽  
Clinical Characteristics ◽  
Clinical Manifestations ◽  
Gastrointestinal Symptoms ◽  
Retrospective Chart Review ◽  
Patient Characteristics ◽  
Altered Mental Status ◽  
Channel Blockers ◽  
First Case ◽  
Overall Mortality

Abstract Background The first case of COVID-19 was admitted on March 15th 2020 to our community based hospital in the Bronx, NY. The aim of this study is to describe the clinical characteristics and outcome of these first COVID-19 patients. Patient Characteristics and Outcome Methods IRB approved retrospective chart review study of all COVID-19 patients admitted during March 2020 focusing on patient characteristics, co-morbidities, clinical manifestations and outcome. Results A total of 177 patients were admitted during March 2020: 57% African American 23.1% Hispanic and 16.9% White. 44.9% female, average age 60 years, and 90% had at least one comorbidity. Outcome was available on all patients except for one who was transferred to another institution for ECMO. Overall mortality was 33%. Clinical presentation: 69.4% presented with cough or shortness of breath, 15.8% with diarrhea, nausea, vomiting or abdominal pain, and 14.6% with myalgia, dizziness or altered mental status. 6.2% presented only with fever. However 59.8% of patients presented with fever and respiratory or gastrointestinal symptoms. Mortality The table compares patients who died vs discharged (either home or to a short term facility). Those that were 65 years or older, hypertensive or presented to the ER with an oxygen saturation of 94% or lower, were more likely to die. Ventilated patients: 31.6% of patients were intubated with a mortality rate of 77%. 22% of these patients were intubated in the first 24 hours. Compared to non-intubated patients, there was no difference in BMI, diabetes, hypertension, COPD/Asthma, use of statins, aspirin or calcium channel blockers. Intubated patients older than 64 years had significantly higher mortality rates (p=0.0001). Conclusion This cohort of COVID-19 patients is unique as almost all received Hydroxychloroquine and Azithromycin. Only 9% received steroids and even fewer received an interleukin-6 inhibitor, convalescent plasma or Remdesivir. African Americans and Hispanics accounted for 80% of patients. Greater than 90% received Medicaid. Overall mortality was 33%. The most common presentation was respiratory followed by gastrointestinal symptoms. The overall mortality was 33% but increased to 77% in intubated patients. Age, hypertension, and ER oxygen saturation correlated with mortality. Disclosures All Authors: No reported disclosures

scholarly journals AB0237 INFECTIONS IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH RITUXIMAB AND ANTI-TNF INHIBITOR

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1144.2-1144
Author(s):  
N. Zehraoui ◽  
R. Benaziez.Boutaleb ◽  
H. Hafirassou ◽  
F. Mechid ◽  
N. Bahaz ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Best Practice ◽  
Biological Therapy ◽  
Patient Characteristics ◽  
Inadequate Response ◽  
Tnf Inhibitor ◽  
Clinical Rheumatology ◽  
Number Of Patients ◽  
Serious Infections ◽  
Comparative Risk

Background:Biological therapies have significantly improved the management of rheumatoid arthritis (RA). These molecules are very effective, but are known for their specific risks, especially infectious. It depends on several factors including the type of molecule used.Objectives:The objective of our study is to compare the rate of infection in RA patients treated with rituximab and anti-TNFα.Methods:Prospective, observational, monocentric study. Were included RA patients (ACR / EULAR 2010 criteria) treated with rituximab and anti-TNFα (adalimumab, infliximab and Etanercept) after inadequate response to DMARDs.Demographic characteristics, comorbidities, association with methotrexate and corticosteroids were collected and compared for each group.The number, type and severity of the infections in both cases were noted.SPSS (Statistical Package for Social Science) was used for data analysis.Results:40 RA patients treated with rituximab and 31 patients who received anti-TNFα were included.Patient characteristics and Comparison of rate of infection in RA patients between the two groups are summarized in Table 1Table 1.ParametersRituximabAnti-TNFαpNumber of patients4031Average age (years)56,2846,060,01Sexratio0,140,110,7Average duration of evolution (years)15,8313,740,3Patients under corticosteroid (%)97,587,10,08Average corticosteroid dose6,415,480,3patients under methotrexate (%)37,545,20,5Diabetes (%)2016,10,7Patients with infection (%)32,551,60,1Number of infections18240,4Number of serious infections500,04Conclusion:The rate of infections in patients with RA treated with rituximab or anti-TNF was similar. However, the infections observed were more serious in patients with RA treated with rituximabReferences:[1]Fabiola Atzeni MD PhD and al. Infections and Biological Therapy in Patients with Rheumatic Diseases. IMAJ . VOL 18. march-APRIL 2016.[2]Huifeng Yun and al. Comparative Risk of Hospitalized Infection Associated with Biologic Agents in Rheumatoid Arthritis Patients Enrolled in Medicare. ARTHRITIS & RHEUMATOLOGY. Vol. 68, No. 1, January 2016, pp 56–66.[3]Manjari Lahiri and al. Risk of infection with biologic antirheumatic therapies in patients with rheumatoid arthritis. Best Practice & Research Clinical Rheumatology (2015) 1-16.Disclosure of Interests:None declared

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

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

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

scholarly journals FRI0443 CLINICAL CHARACTERISTICS AND RELATED FACTORS OF COMMON RHEUMATIC DISEASES COMPLICATED WITH TUBERCULOSIS INFECTION

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 819.1-819
Author(s):  
L. Long ◽  
G. Tang ◽  
Y. Han ◽  
Q. Peng ◽  
J. Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Weight Loss ◽  
Risk Factor ◽  
High Risk ◽  
Rheumatic Diseases ◽  
Clinical Characteristics ◽  
Control Group ◽  
Average Dose ◽  
Systemic Lupus ◽  
Infection Group

Background:Rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and syndrome(SS) are common rheumatic diseases with high incidence. Patients with those rheumatic diseases are at high risk of tuberculosis (TB) infection. However, manifestations can be atypical and easily confused with those of rheumatic disease itself. For those patients, diagnosis is usually much more difficult and further make treatment delayed. Sometimes it may lead to mistreatment. Therefore, it is important to recognize the clinical characteristics of those patients.Objectives:To explore the clinical characteristics and high risk factors of common systemic rheumatism complicated with tuberculosis infection.Methods:A total of 3,906 cases of RA, SLE, and SS common systemic rheumatism diagnosed in the People’s Hospital of Sichuan Province from January 2007 to January 2017 were collected with carefully exclusion with other infectious diseases and neoplastic disease. One hundred and five patients with TB were included as infection group, including 42 cases of RA, 41 cases of SLE, and 22 cases of SS. In the control group, 84 patients with RA, 82 patients with SLE, and 44 patients with SS were randomly selected from the corresponding rheumatoid non-infected patients hospitalized during the same period.Results:Fever was the most common symptom among 42 cases of RA, 41 cases of SLE, and 22 cases of SS with TB, accounting for 83.3%, 92.7%, and 68.2%, respectively. Cough, weight loss or fatigue was less common. For 41 cases of SLE and 22 cases of SS with TB, the proportion of pulmonary was 46.3%, 59.01%, respectively.In TB infection group, 27 cases of RA, 21 cases of SLE, and 13 cases of SS with TB had two or more chest CT findings, accounting for 59%, 57%, 62%, respectively. Lesions located in the posterior or posterior segment which TB usually affected were 9 cases(33.3%),9cases(42.9%),6cases(27.2%),respectively.The daily average dose of hormones within 1 year in TB infection group was higher than that in the control group (P<0.05). For SLE patients, lower counts of CD4+TL were found in TB infection group (P<0.05), while no such differences were found in RA and SS group.Conclusion:Patients with RA who have TB infection are mainly pulmonary TB. For SLE and SS patients, the chance of pulmonary tuberculosis and extra-pulmonary tuberculosis is similar.Symptoms of RA, SLE, SS with TB, such as fever, cough, weight loss, fatigue, are similar with the primary disease or other infection. Chest imaging is diversity. It is difficult to diagnose.Daily average dose of hormone within one year may be a common risk factor for RA, SLE and SS patients with TB. Decreased CD4+TL may also be a risk factor for SLE patients with TB.References:[1]Cantini F, Nannini C, Niccoli L, et al. Risk of Tuberculosis Reactivation in Patients with Rheumatoid Arthritis, Ankylosing Spondylitis, and Psoriatic Arthritis Receiving Non-Anti-TNF-Targeted Biologics[J]. Mediators of Inflammation, 2017, 2017(6):1-15.[2]Ruangnapa K, Dissaneewate P, Vachvanichsanong P. Tuberculosis in SLE patients: rare diagnosis, risky treatment.[J]. Clinical & Experimental Medicine, 2015, 15(3):429-432.[3]Manuela D F, Bruno L, Martina S, et al. Lung Infections in Systemic Rheumatic Disease: Focus on Opportunistic Infections[J]. International Journal of Molecular Sciences, 2017, 18(2):293-315.[4]Disseminated tuberculosis masquerading as a presentation of systemic lupus erythematosus.Li JC, Fong W, Wijaya L, Leung YY.Int J Rheum Dis. 2017 Oct 2. doi: 10.1111/1756-185X.13195.[5]Handa R, Upadhyaya S, Kapoor S, et al. Tuberculosis and biologics in rheumatology: India – A special situation[J]. International Journal of Rheumatic Diseases, 2017, 51(2):115.Disclosure of Interests:None declared

scholarly journals POS0009 THE RELATIONSHIP BETWEEN DIFFERENT IGG AND IGA ANTI-MODIFIED PROTEIN AUTOANTIBODIES IN RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 206.1-207
Author(s):  
C. Grönwall ◽  
L. Liljefors ◽  
H. Bang ◽  
A. Hensvold ◽  
M. Hansson ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Comprehensive Evaluation ◽  
Patient Characteristics ◽  
Post Translational Modifications ◽  
Cell Clones ◽  
Thermo Fisher Scientific ◽  
History Of ◽  
The Relationship ◽  
Fisher Scientific

Background:Seropositive rheumatoid arthritis (RA) is characterized by the presence of rheumatoid factor (RF) and anti-citrullinated protein autoantibodies (ACPA) with different fine-specificities. Yet, other serum anti-modified protein autoantibodies (AMPA), e.g. anti-carbamylated (Carb), anti-acetylated (KAc), and anti-malondialdehyde acetaldehyde (MAA) modified protein antibodies, have been described. By using RA patient single-cell derived monoclonal antibodies we have previously shown that individual ACPA clones recognize small distinct citrulline-containing epitopes giving them extensive multireactivity when these epitopes are found in many peptides and proteins. Moreover, certain CCP2+ multireactive ACPA clones bind also to cabamylated and acetylated autoantigens [1].Objectives:To provide a comprehensive evaluation of serum IgG and IgA autoreactivity to different post-translational modifications in RA.Methods:We analyzed 30 different IgG and IgA AMPA reactivities to modified antigens by ELISA and autoantigen arrays, in N=1985 newly diagnosed RA patients and population controls. The study utilized both previously established (i.e IgG and IgA CCP2; IgG ACPA fine-specificities; IgG anti-Carb fibrinogen and Carb FCS; IgG and IgA Cit/Carb/KAc/Orn(Ac)-vimentin), and novel assays (e.g. IgG anti-MAA and IgG anti-acetylated histones). Association with patient characteristics such as smoking and disease activity were explored. The newly developed assays were also evaluated in SLE disease controls and CCP2+ RA-risk individuals without arthritis.Results:Carb and KAc reactivities by different assays were primarily seen in patients also positive for citrulline-reactivity. Modified vimentin (mod-Vim) peptides were used for direct comparison of different AMPA reactivities, revealing that IgA AMPA recognizing mod-Vim was mainly detected in subsets of patients with high IgG anti-Cit-Vim levels and a history of smoking. IgG acetylation reactivity was mainly detected in a subset of patients with Cit and Carb reactivity. Anti-acetylated histone 2B reactivity was RA-specific and associated with high anti-CCP2 IgG levels, multiple ACPA fine-specificities, and smoking. This reactivity was also found to be present in CCP2+ RA-risk individuals without arthritis. Our data further demonstrate that IgG autoreactivity to MAA was increased in RA compared to controls with highest levels in CCP2+ RA, but was not RA-specific, and showed low correlation with other AMPA. Anti-MAA was instead associated with disease activity and was not significantly increased in CCP2+ individuals at risk of RA. Notably, RA patients could be subdivided into four different subsets based on their AMPA IgG and IgA reactivity profiles.Conclusion:We conclude that autoantibodies exhibiting different patterns of ACPA fine-specificities as well as Carb and KAc reactivity are present in RA and may be derived from multireactive B-cell clones. Anti-Carb and anti-KAc could be considered reactivities within the “Cit-umbrella” similar to ACPA fine-specificities, while MAA is distinctly different.References:[1]Sahlström P, Hansson M, Steen J, Amara K, Titcombe PJ, Forsström B, Stålesen R, Israelsson L, Piccoli L, Lundberg K, Klareskog L, Mueller DL, Catrina AI, Skriner K, Malmström V, Grönwall C. Different Hierarchies of Anti-Modified Protein Autoantibody Reactivities in Rheumatoid Arthritis. Arthritis Rheumatol. 2020 Oct;72(10):1643-1657. PMID: 32501655Caroline Grönwall: None declared, Lisa Liljefors: None declared, Holger Bang Employee of: Employee at ORGENTEC Diagnostika GmbH, Aase Hensvold: None declared, Monika Hansson: None declared, Linda Mathsson-Alm Employee of: Employee at Thermo Fisher Scientific, Lena Israelsson: None declared, Anna Svärd: None declared, Cyril CLAVEL: None declared, Elisabet Svenungsson: None declared, Iva Gunnarsson: None declared, Guy Serre: None declared, Saedis Saevarsdottir: None declared, Alf Kastbom: None declared, Lars Alfredsson: None declared, Vivianne Malmström: None declared, Johan Rönnelid: None declared, Anca Catrina: None declared, Karin Lundberg: None declared, Lars Klareskog: None declared

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