Publications by authors named "Annette Van Der Helm-van Mil"

Background: About 20% of patients with rheumatoid arthritis on disease-modifying antirheumatic drugs (DMARDs) can reach sustained DMARD-free remission. Nonetheless, the 2022 EULAR recommendations discourage complete cessation of DMARDs due to flare risk. The evidence behind this recommendation is obtained from trial populations using biological DMARDs, representing only a subgroup of the total population of patients with rheumatoid arthritis.

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Objective: MRI of the hands is valuable for risk-stratification in patients with arthralgia at-risk for developing rheumatoid arthritis (RA). Contrast-enhanced MRI is considered standard for assessment of RA, but has practical disadvantages. It also shows inflammation-like features in the general population, especially at older age, which should be considered in image interpretation.

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Background: Conventional radiographs of hands and feet are used to depict structural damage in rheumatoid arthritis (RA). This is also commonly done in clinical practice in symptomatic patients at risk for RA (clinically suspect arthralgia (CSA)), but its rationale is unclear. We aimed to investigate the prevalence of radiographic erosive disease in patients with CSA and its progression over time.

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Article Synopsis
  • The study examined whether the belief that all individuals with rheumatoid arthritis (RA) go through a 'pre-RA' phase of symptoms (arthralgia) is true by analyzing new RA patients over a decade.
  • It included a cohort of 699 individuals diagnosed with RA, comparing those who had warning symptoms before diagnosis against those who did not, using advanced statistical methods.
  • Findings revealed only about 55% of the patients experienced this 'pre-RA' stage, and those who did were generally younger and more likely to have specific antibodies, but they struggled more with long-term remission compared to those who did not have previous symptoms.
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  • - This study aimed to explore how depression and anxiety impact the ability of rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients to achieve disease remission, as well as how these mental health symptoms interact with various aspects of disease activity.
  • - Researchers assessed 400 RA patients and 367 PsA patients over two years, finding that high levels of anxiety and depression were linked to a lower chance of remission, especially depression when controlled for anxiety symptoms.
  • - The results indicated that patients showing signs of depression or anxiety had worse overall health and more pain, pointing to the need for healthcare professionals to pay close attention to mental health in patients with RA and PsA.
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  • The study aimed to evaluate if a combination of patient-reported outcomes related to health, disability, pain, quality of life, and fatigue could help detect active disease in rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients.
  • Researchers analyzed data from 683 RA patients and 525 PsA patients, measuring the correlation between changes in these outcomes and clinically defined active disease.
  • Results showed that declines in general health, disability, quality of life, and pain were significantly linked to active disease, indicating that this combination of measures could effectively serve as a screening tool for monitoring these conditions remotely.
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  • * ACPA-negative patients generally have more swollen joints, but the prevalence of swollen metatarsophalangeal (MTP) joints and walking disabilities is similar across both groups, while ACPA-positive patients show greater prevalence of inflamed tissues.
  • * Different types of inflammation are associated with specific symptoms: in ACPA-positive patients, intermetatarsal bursitis relates to MTP joint issues, while in ACPA-negative patients, synovitis is more
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Background: Prevention of rheumatoid arthritis has become a definitive target. However, whether prevention of anti-citrullinated protein antibody (ACPA)-negative rheumatoid arthritis is possible is still unknown. We aimed to assess the efficacy of a 1-year course of methotrexate on the development of rheumatoid arthritis in ACPA-negative people with clinically suspect arthralgia and predicted increased risk of rheumatoid arthritis.

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Objectives: Rheumatoid arthritis (RA) has a considerable disease burden with life-long physical limitations, reduced work productivity and high societal costs. Trials on arthralgia at-risk for RA are therefore conducted, aiming to intercept evolving RA and reduce the disease burden. A 1-year course of methotrexate in patients with clinically suspect arthralgia (CSA) caused sustained improvements in subclinical joint inflammation and physical impairments.

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Multiple clinical trials for rheumatoid arthritis (RA) prevention have been completed. Here, we set out to report on the lessons learnt from these studies. Researchers who conducted RA prevention trials shared the background, rationale, approach and outcomes and evaluated the lessons learnt to inform the next generation of RA prevention trials.

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Objective: Early diagnosis and treatment-start is key for rheumatoid arthritis (RA), but the economic effect of an early versus a later diagnosis has never been investigated. We aimed to investigate whether early diagnosis of RA is associated with lower treatment-related costs compared with later diagnosis.

Methods: Patients with RA consecutively included in the Leiden Early Arthritis Clinic between 2011 and 2017 were studied (n=431).

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The mucosal origin hypothesis of rheumatoid arthritis has renewed the interest in IgA autoantibodies, but their added value over IgG anti-citrullinated protein antibody (ACPA) and IgM rheumatoid factor (RF) for modern treatment outcomes remains unknown. We aimed to investigate the prognostic value of IgA-ACPA and IgA-RF for treatment outcomes in an early arthritis population. IgA-ACPA/RF isotypes were measured in baseline sera from 480 inflammatory arthritis (IA) patients, who were included in the treatment in the Rotterdam Early Arthritis Cohort trial (tREACH).

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Objective: Ultrasound (US) can detect subclinical joint-inflammation in patients with clinically suspect arthralgia (CSA), which is valuable as predictor for rheumatoid arthritis (RA) development. In most research protocols both hands and forefeet are scanned, but it is unclear if US of the forefeet has additional value for predicting RA, especially since synovial hypertrophy in MTP-joints of healthy individuals is also common. To explore the possibility to omit scanning of the forefeet we determined if US of the forefeet is of additional predictive value for RA-development in CSA patients.

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Objectives: Clinically suspect arthralgia (CSA) is an at-risk stage of rheumatoid arthritis (RA), in which patients experience symptoms and physical limitations. Perceptions of CSA-patients have remained largely unknown. Therefore, we aimed to map perceptions of CSA-patients and compare these to RA-patients.

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Objective: Recently, a genome-wide association study identified an association between RA-associated interstitial lung disease (ILD) and rs12702634 in the Japanese population, especially for patients with a usual interstitial pneumonia (UIP) pattern. We aimed to replicate this association in a European population and test for interaction with rs35705950.

Methods: In this genetic case-control association study, patients with RA and ILD and controls with RA and no ILD were included from France, the USA and the Netherlands.

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Objectives: Rheumatoid arthritis (RA) mainly affects small joints. Despite the mechanical function of joints, the role of mechanical stress in the development of arthritis is insufficiently understood. We hypothesised that mechanical stress/physical strain is a risk factor for joint inflammation in RA.

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Objectives: To determine whether patient reported outcome measures (PROMs) capturing activity limitations, health impact, pain, fatigue and work ability are responsive and sensitive to changes in disease activity status in patients with early and established rheumatoid arthritis (RA).

Methods: All early RA patients (n = 557) from the tREACH-trial and established RA patients (n = 188) from the TARA-trial were included. Both studies were multicentre, single-blinded trials with a treat-to-target management approach.

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Objective: New modes of action and more data on the efficacy and safety of existing drugs in psoriatic arthritis (PsA) required an update of the EULAR 2019 recommendations for the pharmacological treatment of PsA.

Methods: Following EULAR standardised operating procedures, the process included a systematic literature review and a consensus meeting of 36 international experts in April 2023. Levels of evidence and grades of recommendations were determined.

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Objectives: To investigate whether there is a window of opportunity for psoriatic arthritis (PsA) patients and to assess which patient characteristics are associated with a longer diagnostic delay.

Methods: All newly diagnosed, disease-modifying antirheumatic drug-naïve PsA patients who participated in the Dutch southwest Early PsA cohoRt and had ≥3 years of follow-up were studied. First, total delay was calculated as the time period between symptom onset and PsA diagnosis made by a rheumatologist and then split into patient and physician delays.

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Objective: To compare clinical and patient-reported outcomes (PROs) over 5 years between patients with rheumatoid arthritis (RA) in sustained remission (sREM), sustained low disease activity (sLDA) or active disease (AD) in the first year after diagnosis.

Methods: All patients with RA from the treatment in the Rotterdam Early Arthritis CoHort trial, a multicentre, stratified, single-blinded trial with a treat-to-target approach, aiming for LDA (Disease Activity Score (DAS) ≤2.4), were studied.

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Article Synopsis
  • Artificial intelligence, particularly deep learning, has influenced everyday life and is now being explored in fields like rheumatology for diagnostics and patient monitoring.* -
  • Deep learning excels at processing images, outperforming traditional imaging techniques, but its effectiveness may not translate to simpler numerical data analysis.* -
  • Rheumatologists and radiologists must understand deep learning's techniques and limitations to incorporate it effectively into their practices, ensuring they leverage its benefits while avoiding potential pitfalls.*
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