Publications by authors named "Jeska De Vries-Bouwstra"

Objectives: To evaluate (1) the association between nailfold capillaroscopy pattern and 5-year risk for incident interstitial lung disease and (2) the association between transition in nailfold capillaroscopy pattern and risk of incident interstitial lung disease.

Methods: Data of adult patients from the EUSTAR database fulfilling the ACR-EULAR criteria with a disease duration ⩽5 years, having a scleroderma pattern at nailfold capillaroscopy with high-resolution computed tomography confirmed absence of interstitial lung disease (i.e.

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Objectives: Gastroesophageal reflux disease (GERD) is frequent in systemic sclerosis (SSc) and could predict progression of interstitial lung disease (ILD). We aimed to analyse (1) the prevalence of GERD among SSc-ILD patients, (2) its association with disease characteristics and (3) predictive factors for ILD progression in SSc-ILD patients with GERD.

Methods: SSc patients from the EUSTAR database with ILD were included.

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Objective: Systemic sclerosis (SSc) is a rare but severe autoimmune disease characterized by immune dysregulation, fibrosis, and vasculopathy. While previous studies have highlighted the presence of functional autoantibodies targeting the angiotensin II type 1 receptor (ATR) and endothelin-1 type A receptor (ETR), leading to autoantibody-mediated receptor stimulation and subsequent activation of endothelial cells (ECs), a comprehensive understanding of the direct interaction between these autoantibodies and their receptors is currently lacking. Moreover, existing data confirming the presence of these autoantibodies in SSc often rely on similar methodologies and assays.

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Background: This study aimed to assess the quantitative uptake of F-FDG PET-CT in the lungs of patients with early severe diffuse cutaneous systemic sclerosis (SSc) with and without interstitial lung disease (ILD), compared to controls. In patients with SSc-ILD, F-FDG uptake was correlated to high-resolution computed tomography (HRCT) and pulmonary function test (PFT) parameters.

Methods: A prospective, cross-sectional study was conducted, involving 15 patients with SSc-ILD, 5 patients with SSc without ILD, and 7 controls without SSc.

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Objectives: Cellular senescence and endothelial-to-mesenchymal transition (EndMT) are profibrotic cellular processes involved in systemic sclerosis (SSc), but how they respond to treatment is largely unknown.

Methods: Skin biopsies from diffuse cutaneous SSc (dcSSc) patients who underwent either autologous haematopoietic stem cell transplantation (aHSCT) or cyclophosphamide pulse (iv CYC) treatment were collected before and 6 months after randomisation in the Autologous Stem Cell Transplantation International Scleroderma (ASTIS) trial. The extent of fibrosis, inflammation, senescence, EndMT and tissue remodelling were examined in histopathology.

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Objective: To optimise the organisation of care and encourage the adoption of good clinical practices, the RarERN Path methodology was designed within ERN ReCONNET. The aim of our work was to report the application of RarERN Path on systemic sclerosis within the ERN ReCONNET centres, providing a feasible and flexible organisational reference model for optimising the systemic sclerosis care pathway in different countries.

Methods: RarERN Path is a six-phase methodology which enables the creation of a reference organisational model co-designed on the basis of the expertise of different stakeholders.

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Introduction: Systemic sclerosis is a rare autoimmune connective tissue disease characterised by (1) microvasculopathy; (2) immune dysregulation; and (3) progressive fibrosis of the skin and internal organs. Soluble guanylate cyclase plays an important role in maintaining vascular and immunological homeostasis and preventing organ fibrosis. Pharmacological modulation of soluble guanylate cyclase with soluble guanylate cyclase stimulators has shown anti-inflammatory and antifibrotic effects in animal models of systemic sclerosis, with a trend towards clinical efficacy in a Phase II study (RISE-SSc).

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Article Synopsis
  • Patients with systemic sclerosis are at high risk for interstitial lung disease (ILD), which can lead to increased mortality, making early detection critical for better management and outcomes.
  • The DecreaSSc study, conducted in the Netherlands, involved eligible patients using home spirometry to monitor lung function weekly for a year, comparing these results with hospital tests.
  • The study aimed to determine how well home spirometry could identify a significant decline in lung function (≥5% decrease in forced vital capacity) and involved patient feedback throughout its design and execution.
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Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. This study aims to develop a deep learning framework to automate SSc-ILD scoring. The automated framework is a cascade of two neural networks.

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Objectives: Troponin I has been suggested as a more specific diagnostic biomarker for myocardial involvement in systemic sclerosis than the frequently used troponin T. The aim of this study is to evaluate the additive value of troponin I to detect myocardial involvement in systemic sclerosis. To this end, we evaluated the association between troponin I levels and myocardial involvement in systemic sclerosis patients.

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Systemic sclerosis (SSc) is a multisystemic autoimmune disorder in which cardiac involvement is frequent and portends negative prognosis. Left ventricular (LV) diastolic dysfunction is one of the most common cardiac alterations in these patients, and left atrial (LA) reservoir strain (Ɛ) measurement using speckle tracking echocardiography has been proposed as a novel parameter for a better assessment of LV diastolic function. Therefore, the aim of this study was to test the prognostic value of Ɛ in a large multicenter cohort of SSc patients.

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Article Synopsis
  • - Pulmonary function tests (PFTs) are crucial for assessing interstitial lung disease in systemic sclerosis patients, but they can be challenging to perform due to risks and contraindications, leading to the exploration of alternative methods like convolution neural networks (CNNs) with chest CT scans.
  • - This study introduces point cloud neural networks (PNN) and graph neural networks (GNN) to better estimate PFTs using detailed information about pulmonary vessel centerlines, which enhances accuracy compared to previous CNN methods while also being more efficient in terms of training time and parameters.
  • - The combination of CNN-CT, PNN-Vessel, and GNN-Vessel resulted in the highest accuracy for estimating PFTs, indicating that
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Background: The early detection and management of (progressive) interstitial lung disease in patients with connective tissue diseases requires the attention and skills of a multidisciplinary team. However, there are currently no well-established standards to guide the daily practice of physicians treating this heterogenous group of diseases.

Research Question: This paper aimed to identify gaps in scientific knowledge along the journey of patients with connective tissue disease-related interstitial lung disease and to provide tools for earlier identification of interstitial lung disease and progressive disease.

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Aims: Epicardial adipose tissue (EAT) has emerged as a mediator between systemic inflammatory disorders and cardiovascular disease, and may therefore play a role in the pathophysiology of cardiac involvement in systemic sclerosis (SSc). The aim of this study was to assess the correlation between EAT and left ventricular (LV) function, and to determine the prognostic value of EAT in patients with SSc.

Methods And Results: Consecutive patients with SSc who underwent non-contrast thorax computed tomography and echocardiography were included.

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Article Synopsis
  • Scientists wanted to see how smoking affected people with a disease called systemic sclerosis (SSc).
  • They studied over 12,000 patients and found that smoking was linked to worse health outcomes, especially for women.
  • Smokers had a higher risk of serious issues like skin problems and even death compared to non-smokers, especially when they had specific antibodies.
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Background And Objectives: In SSc, ILD is a major cause of morbidity and mortality. We aimed to investigate the performance of DLCO (diffusing capacity of lung carbon monoxide) and FVC (forced vital capacity) delta change (Δ) and baseline values in predicting the development of SSc-ILD.

Methods: Longitudinal data of DLCO, FVC, and ILD on the HRCT of SSc patients from the EUSTAR database were evaluated at baseline (t) and after 12 (±4) (t) and 24 (±4) (t) months.

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Background: Cardiovascular involvement is one of the leading causes of mortality in systemic sclerosis (SSc) and is reported to be higher in men as compared with women. However, the cause of this difference is largely unknown. The objective of this study was to assess sex differences in echocardiographic characteristics, including left ventricular global longitudinal strain (LV GLS), as a potential explanation of sex differences in outcomes.

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Objective: The Health Assessment Questionnaire-Disability Index is an important outcome measure reflecting functional disability, but knowledge on its course over time in patients with systemic sclerosis is scarce. Therefore, we investigated the long-term course of the Health Assessment Questionnaire-Disability Index and its association with baseline characteristics in systemic sclerosis patients.

Methods: Systemic sclerosis patients, fulfilling the European League Against Rheumatism and the American College of Rheumatology 2013 criteria, were included from the Leiden Combined Care in Systemic Sclerosis cohort with annual assessments including the Scleroderma Health Assessment Questionnaire-Disability Index (range = 0-3).

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Article Synopsis
  • The study investigated the outcomes of patients with systemic sclerosis (SSc) who contracted COVID-19 across different waves of the pandemic, highlighting a lack of data for this specific group.
  • A total of 333 SSc patients were analyzed, revealing a reduction in severe outcomes, hospitalizations, and deaths from wave 1 to waves 2 and 3.
  • The findings suggest that younger demographics, lower use of high-dose corticosteroids, and possibly improved healthcare responses contributed to better outcomes for SSc patients as the pandemic progressed.
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Objectives: Almost all patients with systemic sclerosis (SSc) harbour autoantibodies. Anti-topoisomerase antibodies (ATA) and anti-centromere antibodies (ACA) are most prevalent and associate with distinct clinical phenotypes. B cell responses underlying these phenotypes are ill-defined.

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Background: To investigate the presence of different isotypes of anti-carbamylated protein (CarP) antibodies in systemic sclerosis (SSc) patients and its association with skin involvement.

Methods: Sera of 194 SSc patients from the Leiden CCISS cohort, fulfilling ACR/EULAR 2013 criteria and a clinical diagnosis of SSc, 83 patients with other connective tissue diseases/Raynaud's Phenomenon, 24 rheumatoid arthritis patients and 98 age and sex-matched healthy controls were tested for the presence of anti-CarP IgG, IgA and IgM, determined by ELISA. Clinical characteristics, that were evaluated in SSc patients, included age, anti-topoisomerase antibodies (ATA), anti-centromere antibodies (ACA) and modified Rodnan Skin Score (mRSS).

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