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RMD Open Jun 2024To compare the risk of cardiovascular events among Janus kinase inhibitors (JAKIs), biological disease-modifying antirheumatic drugs (bDMARDs) (tumour necrosis factor...
Increased risk of cardiovascular events under the treatments with Janus kinase inhibitors versus biological disease-modifying antirheumatic drugs in patients with rheumatoid arthritis: a retrospective longitudinal population-based study using the Japanese health insurance database.
OBJECTIVES
To compare the risk of cardiovascular events among Janus kinase inhibitors (JAKIs), biological disease-modifying antirheumatic drugs (bDMARDs) (tumour necrosis factor inhibitors (TNFIs) and non-TNFIs) and methotrexate (MTX) in Japanese patients with rheumatoid arthritis (RA).
METHODS
Using Japanese claims data, patients with RA were enrolled in this study if they had at least one ICD-10 code (M05 or M06), were new users of JAKIs, bDMARDs or MTX between July 2013 and July 2020 and being 18 years old or older. The incidence rate (IR), IR ratio and adjusted hazard ratio (aHR (95% CI)) of cardiovascular events including venous thromboembolism, arterial thrombosis, acute myocardial infarction and stroke were calculated. A time-dependent Cox regression model adjusted for patient characteristics at baseline was used to calculate aHR.
RESULTS
In 53 448 cases, IRs/1000 patient-years of the overall cardiovascular events were 10.1, 6.8, 5.4, 9.1 and 11.3 under the treatments with JAKIs, bDMARDs, TNFIs, non-TNFIs and MTX, respectively. The adjusted HRs of JAKIs for overall cardiovascular events were 1.7 (1.1 to 2.5) versus TNFIs without MTX and 1.7 (1.1 to 2.7) versus TNFIs with MTX.
CONCLUSIONS
Among patients with RA, individuals using JAKIs had a significantly higher risk of overall cardiovascular events than TNFIs users, which was attributed to the difference in the risk between JAKIs and TNFIs versus MTX. These data should be interpreted with caution because of the limitations associated with the claims database.
Topics: Humans; Arthritis, Rheumatoid; Female; Male; Antirheumatic Agents; Middle Aged; Cardiovascular Diseases; Janus Kinase Inhibitors; Japan; Aged; Retrospective Studies; Longitudinal Studies; Methotrexate; Adult; Incidence; Databases, Factual; Risk Factors; Insurance, Health; East Asian People
PubMed: 38886005
DOI: 10.1136/rmdopen-2023-003885 -
RMD Open Jun 2024To compare longitudinal changes in spirometric measures between patients with rheumatoid arthritis (RA) and non-RA comparators.
OBJECTIVE
To compare longitudinal changes in spirometric measures between patients with rheumatoid arthritis (RA) and non-RA comparators.
METHODS
We analysed longitudinal data from two prospective cohorts: the UK Biobank and COPDGene. Spirometry was conducted at baseline and a second visit after 5-7 years. RA was identified based on self-report and disease-modifying antirheumatic drug use; non-RA comparators reported neither. The primary outcomes were annual changes in the per cent-predicted forced expiratory volume in 1 s (FEV%) and per cent predicted forced vital capacity (FVC%). Statistical comparisons were performed using multivariable linear regression. The analysis was stratified based on baseline smoking status and the presence of obstructive pattern (FEV/FVC <0.7).
RESULTS
Among participants who underwent baseline and follow-up spirometry, we identified 233 patients with RA and 37 735 non-RA comparators. Among never-smoking participants without an obstructive pattern, RA was significantly associated with more FEV% decline (β=-0.49, p=0.04). However, in ever smokers with ≥10 pack-years, those with RA exhibited significantly less FEV% decline than non-RA comparators (β=0.50, p=0.02). This difference was more pronounced among those with an obstructive pattern at baseline (β=1.12, p=0.01). Results were similar for FEV/FVC decline. No difference was observed in the annual FVC% change in RA versus non-RA.
CONCLUSIONS
Smokers with RA, especially those with baseline obstructive spirometric patterns, experienced lower FEV% and FEV/FVC decline than non-RA comparators. Conversely, never smokers with RA had more FEV% decline than non-RA comparators. Future studies should investigate potential treatments and the pathogenesis of obstructive lung diseases in smokers with RA.
Topics: Humans; Arthritis, Rheumatoid; Male; Spirometry; Female; Middle Aged; Longitudinal Studies; Prospective Studies; Smoking; Aged; Forced Expiratory Volume; Vital Capacity; Pulmonary Disease, Chronic Obstructive; Adult; United Kingdom
PubMed: 38886003
DOI: 10.1136/rmdopen-2024-004281 -
RMD Open Jun 2024To understand (1) what guidance exists to assess the methodological quality of qualitative research; (2) what methods exist to grade levels of evidence from qualitative...
Synthesis of guidance available for assessing methodological quality and grading of evidence from qualitative research to inform clinical recommendations: a systematic literature review.
OBJECTIVE
To understand (1) what guidance exists to assess the methodological quality of qualitative research; (2) what methods exist to grade levels of evidence from qualitative research to inform recommendations within European Alliance of Associations for Rheumatology (EULAR).
METHODS
A systematic literature review was performed in multiple databases including PubMed/Medline, EMBASE, Web of Science, COCHRANE and PsycINFO, from inception to 23 October 2020. Eligible studies included primary articles and guideline documents available in English, describing the: (1) development; (2) application of validated tools (eg, checklists); (3) guidance on assessing methodological quality of qualitative research and (4) guidance on grading levels of qualitative evidence. A narrative synthesis was conducted to identify key similarities between included studies.
RESULTS
Of 9073 records retrieved, 51 went through to full-manuscript review, with 15 selected for inclusion. Six articles described methodological tools to assess the quality of qualitative research. The tools evaluated research design, recruitment, ethical rigour, data collection and analysis. Seven articles described one approach, focusing on four key components to determine how much confidence to place in findings from systematic reviews of qualitative research. Two articles focused on grading levels of clinical recommendations based on qualitative evidence; one described a qualitative evidence hierarchy, and another a research pyramid.
CONCLUSION
There is a lack of consensus on the use of tools, checklists and approaches suitable for appraising the methodological quality of qualitative research and the grading of qualitative evidence to inform clinical practice. This work is expected to facilitate the inclusion of qualitative evidence in the process of developing recommendations at EULAR level.
Topics: Humans; Qualitative Research; Research Design; Evidence-Based Medicine; Practice Guidelines as Topic
PubMed: 38886002
DOI: 10.1136/rmdopen-2023-004032 -
RMD Open Jun 2024To train, test and validate the performance of a convolutional neural network (CNN)-based approach for the automated assessment of bone erosions, osteitis and synovitis...
OBJECTIVES
To train, test and validate the performance of a convolutional neural network (CNN)-based approach for the automated assessment of bone erosions, osteitis and synovitis in hand MRI of patients with inflammatory arthritis.
METHODS
Hand MRIs (coronal T1-weighted, T2-weighted fat-suppressed, T1-weighted fat-suppressed contrast-enhanced) of rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients from the rheumatology department of the Erlangen University Hospital were assessed by two expert rheumatologists using the Outcome Measures in Rheumatology-validated RA MRI Scoring System and PsA MRI Scoring System scores and were used to train, validate and test CNNs to automatically score erosions, osteitis and synovitis. Scoring performance was compared with human annotations in terms of macro-area under the receiver operating characteristic curve (AUC) and balanced accuracy using fivefold cross-validation. Validation was performed on an independent dataset of MRIs from a second patient cohort.
RESULTS
In total, 211 MRIs from 112 patients (14 906 region of interests (ROIs)) were included for training/internal validation using cross-validation and 220 MRIs from 75 patients (11 040 ROIs) for external validation of the networks. The networks achieved high mean (SD) macro-AUC of 92%±1% for erosions, 91%±2% for osteitis and 85%±2% for synovitis. Compared with human annotation, CNNs achieved a high mean Spearman correlation for erosions (90±2%), osteitis (78±8%) and synovitis (69±7%), which remained consistent in the validation dataset.
CONCLUSIONS
We developed a CNN-based automated scoring system that allowed a rapid grading of erosions, osteitis and synovitis with good diagnostic accuracy and using less MRI sequences compared with conventional scoring. This CNN-based approach may help develop standardised cost-efficient and time-efficient assessments of hand MRIs for patients with arthritis.
Topics: Humans; Deep Learning; Osteitis; Synovitis; Magnetic Resonance Imaging; Male; Female; Middle Aged; Arthritis, Rheumatoid; Hand; Arthritis, Psoriatic; Adult; Aged; ROC Curve; Severity of Illness Index; Neural Networks, Computer
PubMed: 38886001
DOI: 10.1136/rmdopen-2024-004273 -
ACR Open Rheumatology Jun 2024Identification of characteristics associated with active disease in juvenile idiopathic arthritis (JIA) could inform early disease treatment strategies. This study...
OBJECTIVE
Identification of characteristics associated with active disease in juvenile idiopathic arthritis (JIA) could inform early disease treatment strategies. This study evaluated characteristics associated with active disease at 12 and 24 months after JIA diagnosis in the era in which biologic disease-modifying antirheumatic drugs (DMARDs) became available for JIA.
METHODS
This single-center retrospective study from 2004 through 2018 assessed characteristics associated with active nonsystemic categories of JIA at 12 and 24 months after diagnosis. Relative prevalence (RP) of disease activity was evaluated in relation to prespecified characteristics. Using RP, the effect of increasing biologic DMARD availability on these predictors was assessed at 12 months.
RESULTS
A total of 1,151 patients with JIA were included. At 12 months, a 40% to 45% higher point prevalence of active disease was noted in older children (>5 years). Patients with active disease at 3 months had a greater prevalence of active disease at 12 months (RP 1.5, 95% confidence interval [CI] 1.2-1.8) and 24 months (RP 1.3, 95% CI 1-1.6). Compared to oligoarticular JIA, polyarticular RF-negative, psoriatic, and enthesitis-related JIA had a greater prevalence of active disease at 12 and 24 months. At 24 months, a greater prevalence of active disease was observed in children ≥10 years. RP of active disease was 25% lower in the late cohort (2013-2018) than in the earliest cohort (2004-2008; RP 0.75, 95% CI 0.62-0.92) when more biologic medications were available, but disease activity predictors were broadly similar over time.
CONCLUSION
Patients with JIA with active disease at 12 and 24 months were older at diagnosis, categorized as polyarticular RF-negative, psoriatic, or enthesitis-related JIA. Active disease at 3 months after diagnosis was associated with worse outcomes at 12 and 24 months.
PubMed: 38885948
DOI: 10.1002/acr2.11701 -
Neurology(R) Neuroimmunology &... Jul 2024AQP4 antibody-positive NMOSD (AQP4-NMOSD), MOG antibody-associated disease (MOGAD), and seronegative NMOSD (SN-NMOSD) are neuroautoimmune conditions that have...
BACKGROUND AND OBJECTIVES
AQP4 antibody-positive NMOSD (AQP4-NMOSD), MOG antibody-associated disease (MOGAD), and seronegative NMOSD (SN-NMOSD) are neuroautoimmune conditions that have overlapping clinical manifestations. Yet, important differences exist in these diseases, particularly in B-cell depletion (BCD) efficacy. Yet, the biology driving these differences remains unclear. Our study aims to clarify biological pathways distinguishing these diseases beyond autoantibodies and investigate variable BCD effects through proteomic comparisons.
METHODS
In a retrospective study, 1,463 serum proteins were measured in 53 AQP4-NMOSD, 25 MOGAD, 18 SN-NMOSD, and 49 healthy individuals. To identify disease subtype-associated signatures, we examined serum proteins in patients without anti-CD20 B-cell depletion (NoBCD). We then assessed the effect of BCD treatment within each subtype by comparing proteins between BCD-treated and NoBCD-treated patients.
RESULTS
In NoBCD-treated patients, serum profiles distinguished the 3 diseases. AQP4-NMOSD showed elevated type I interferon-induced chemokines (CXCL9 and CXCL10) and TFH chemokine (CXCL13). MOGAD exhibited increased cytotoxic T-cell proteases (granzyme B and granzyme H), while SN-NMOSD displayed elevated Wnt inhibitory factor 1, a marker for nerve injury. Across all subtypes, BCD-treated patients showed reduction of B-cell-associated proteins. In AQP4-NMOSD, BCD led to a decrease in several inflammatory pathways, including IL-17 signaling, cytokine storm, and macrophage activation. By contrast, BCD elevated these pathways in patients with MOGAD. BCD had no effect on these pathways in SN-NMOSD.
DISCUSSION
Proteomic profiles show unique biological pathways that distinguish AQP4-NMOSD, MOGAD, or SN-NMOSD. Furthermore, BCD uniquely affects inflammatory pathways in each disease type, providing an explanation for the disparate therapeutic response in AQP4-NMOSD and MOGAD.
Topics: Humans; Neuromyelitis Optica; Myelin-Oligodendrocyte Glycoprotein; Female; Middle Aged; Male; Adult; Retrospective Studies; Proteomics; B-Lymphocytes; Aquaporin 4; Autoantibodies; Aged
PubMed: 38885457
DOI: 10.1212/NXI.0000000000200268 -
Acta Orthopaedica Jun 2024Knowledge concerning the use AI models for the classification of glenohumeral osteoarthritis (GHOA) and avascular necrosis (AVN) of the humeral head is lacking. We aimed...
Artificial intelligence can be used in the identification and classification of shoulder osteoarthritis and avascular necrosis on plain radiographs: a training study of 7,139 radiograph sets.
BACKGROUND AND PURPOSE
Knowledge concerning the use AI models for the classification of glenohumeral osteoarthritis (GHOA) and avascular necrosis (AVN) of the humeral head is lacking. We aimed to analyze how a deep learning (DL) model trained to identify and grade GHOA on plain radiographs performs. Our secondary aim was to train a DL model to identify and grade AVN on plain radiographs.
PATIENTS AND METHODS
A modified ResNet-type network was trained on a dataset of radiographic shoulder examinations from a large tertiary hospital. A total of 7,139 radiographs were included. The dataset included various projections of the shoulder, and the network was trained using stochastic gradient descent. Performance evaluation metrics, area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were used to assess the network's performance for each outcome.
RESULTS
The network demonstrated AUC values ranging from 0.73 to 0.93 for GHOA classification and > 0.90 for all AVN classification classes. The network exhibited lower AUC for mild cases compared with definitive cases of GHOA. When none and mild grades were combined, the AUC increased, suggesting difficulties in distinguishing between these 2 grades.
CONCLUSION
We found that a DL model can be trained to identify and grade GHOA on plain radiographs. Furthermore, we show that a DL model can identify and grade AVN on plain radiographs. The network performed well, particularly for definitive cases of GHOA and any level of AVN. However, challenges remain in distinguishing between none and mild GHOA grades.
Topics: Humans; Osteoarthritis; Osteonecrosis; Shoulder Joint; Radiography; Male; Artificial Intelligence; Female; Deep Learning; Middle Aged; Aged; Sensitivity and Specificity; Adult
PubMed: 38884536
DOI: 10.2340/17453674.2024.40905 -
Open Access Rheumatology : Research and... 2024To evaluate the characteristics, efficacy, and retention of tofacitinib monotherapy in patients with rheumatoid arthritis using data from randomized controlled trials...
PURPOSE
To evaluate the characteristics, efficacy, and retention of tofacitinib monotherapy in patients with rheumatoid arthritis using data from randomized controlled trials (RCTs) and real-world data (RWD).
PATIENTS AND METHODS
Three patient groups receiving tofacitinib 5 mg twice daily (BID) monotherapy were defined for post hoc RCT/long-term extension (LTE) analyses: (1) disease-modifying antirheumatic drug (DMARD)-inadequate responder patients from phase 3/3b/4 RCTs; (2) methotrexate-naïve patients from a phase 3 RCT; and (3) index study patients continuing in an LTE study. Outcomes included low disease activity (LDA)/remission rates defined by Clinical Disease Activity Index (CDAI); Disease Activity Score in 28 joints (DAS28-4), erythrocyte sedimentation rate; DAS28-4, C-reactive protein (DAS28-4[CRP]); and rates of/time to discontinuation due to lack of efficacy/adverse events. RWD were identified by non-systematic literature searches of PubMed, Embase, and American College of Rheumatology/European Alliance of Associations for Rheumatology congress abstracts (2012-2022).
RESULTS
RCT/LTE analyses included 1000/498 patients receiving tofacitinib 5 mg BID monotherapy. Baseline disease activity was high; patients tended to receive concomitant glucocorticoids; most were biologic DMARD-naïve. CDAI LDA rates were 32.2-62.2% for Groups 1/2 (months 3-12) and 64.0-70.7% for Group 3 (months 12-72). In Groups 1, 2, and 3, 4.0%, 15.6%, and 27.7% of patients, respectively, discontinued tofacitinib monotherapy due to lack of efficacy/adverse events. From 11 RWD publications, 16.6-66.1% received tofacitinib monotherapy. Consistent with clinical data, tofacitinib monotherapy effectiveness (month 6 CDAI LDA, 30.2%; month 3 DAS28-4[CRP] remission, 53.4%) and persistence were observed in RWD, with retention comparable to tofacitinib combination therapy.
CONCLUSION
Tofacitinib monotherapy demonstrated clinically significant responses/persistence in RCT/LTE analyses, with effectiveness observed and persistence comparable to combination therapy in RWD.
TRIAL REGISTRATION
NCT00814307, NCT02187055, NCT01039688, NCT00413699, NCT00661661 (ClinicalTrials.gov).
PubMed: 38883150
DOI: 10.2147/OARRR.S446431 -
Open Access Rheumatology : Research and... 2024The prognosis of rheumatoid arthritis (RA) with interstitial lung disease (ILD) is particularly poor. Although drugs that do not contribute to the progression of ILD...
PURPOSE
The prognosis of rheumatoid arthritis (RA) with interstitial lung disease (ILD) is particularly poor. Although drugs that do not contribute to the progression of ILD should be used in RA treatment, none have been established. This study evaluated the safety of tocilizumab in terms of ILD activity.
PATIENTS AND METHODS
This study prospectively enrolled all 55 patients with RA complicated by ILD who were treated with tocilizumab at Dokkyo Medical University Saitama Medical Center from April 2014 to June 2022. The outcome measures were MMP-3 and KL-6 as biomarkers of RA and ILD activity, respectively, and the relationship between them was analyzed.
RESULTS
Both MMP-3 and KL-6 were significantly improved at 6 months of treatment (P < 0.001 and P < 0.05, respectively), and a weak correlation between MMP-3 and KL-6 was observed (R = 0.086, P = 0.087). The group with increased MMP-3 due to RA progression had significantly higher KL-6 at 6 months compared with the group with RA improvement (P < 0.05). Also, the group with ILD progression on computed tomography had significantly higher MMP-3 compared with the groups with improvement or no change of ILD (P < 0.05 and P < 0.01, respectively). The mortality rate was 0% at 6 months, 2.0% at 1 year, 16.7% at 2 years, and 32.4% at 3 years, and mortality from acute exacerbation of ILD due to respiratory infection increased over time.
CONCLUSION
RA activity and ILD activity were found to be related at 6 months of treatment. Tocilizumab does not seem to affect the mechanism of ILD progression, as most patients showed improvement in both MMP-3 and KL-6 with tocilizumab within 6 months, when this drug would be expected to affect the lungs directly. However, respiratory infection exacerbated ILD from 1 year after the start of treatment. As immunosuppressive drugs, including tocilizumab, have a risk of respiratory infection, it is important to identify early signs of infection.
PubMed: 38883149
DOI: 10.2147/OARRR.S462662 -
F1000Research 2023This study aimed to quantify the mechanoresponse of 10 blood marker candidates for joint metabolism to a walking stress test in patients with knee osteoarthritis and to...
BACKGROUND
This study aimed to quantify the mechanoresponse of 10 blood marker candidates for joint metabolism to a walking stress test in patients with knee osteoarthritis and to determine the association among marker kinetics and with accumulated load and patient reported outcomes.
METHODS
24 patients with knee osteoarthritis completed questionnaires, and a 30-minute walking stress test with six blood serum samples and gait analysis. Concentrations of cartilage oligomeric matrix protein (COMP), matrix metalloproteinases (MMP)-1, -3, and -9, epitope resulting from cleavage of type II collagen by collagenases (C2C), type II procollagen (CPII), interleukin (IL)-6, proteoglycan (PRG)-4, A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS)-4, and resistin were determined by enzyme-linked immunosorbent assays, Joint load (moments and compartmental forces) was estimated using musculoskeletal modeling using gait analysis data.
RESULTS
COMP and MMP-3 showed an immediate increase after the walking stress followed by a decrease. MMP-9 and resistin showed a delayed decrease below pre-stress levels. ∆COMP correlated with ∆MMP-3 for most time points. ∆MMP-9 correlated with ∆resistin for most time points. The load-induced increase in blood marker levels correlated among blood markers and time points. C2C and resistin correlated positively and C2C/CPII and MMP2 correlated negatively with load during gait. Immediate relative ∆CPII and ∆MMP1 and delayed relative ∆COMP, ∆IL6, ∆C2C, ∆CPII, ∆MMP1 and ∆MMP3 correlated with the load accumulated during the walking stress. Baseline C2C levels correlated with Knee Osteoarthritis Outcome Score (KOOS) subscales and load-induced changes in MMP-3 with KOOS and Short Form 36 quality of life subscores (P<0.05).
CONCLUSIONS
The distinct and differentiated physiological response to the walking stress depends on accumulated load and appears relevant for patient reported osteoarthritis outcome and quality of life and warrants further investigation in the context of disease progression.ClinicalTrials.gov registration: NCT02622204.
Topics: Humans; Female; Male; Osteoarthritis, Knee; Biomarkers; Middle Aged; Patient Reported Outcome Measures; Aged; Kinetics; Weight-Bearing; Walking
PubMed: 38882712
DOI: 10.12688/f1000research.131702.2