Search

Les concepts prioritaires pour les personnes arthrosiques ne sont pas tous représentés dans les échelles ou instruments de mesure les plus couramment utilisés. Toutefois, connaître les croyances, les besoins et les priorités des personnes atteintes d'arthrose est un enjeu majeur afin d'envisager une prise en charge pertinente centrée sur le patient. Afin de mieux comprendre le point de vue des patients vis-à-vis de leur arthrose et de la douleur, nous avons réalisé une analyse systématique de la littérature des études qualitatives abordant ces sujets. L'étude a été réalisée dans le cadre du groupe de travail européen et multidisciplinaire Going inside Osteoarthritis-related Pain Phenotyping (GO-PAIN). Une revue systématique de la littérature a été réalisée dans les bases de données Pubmed, EMBASE, Scopus, Web of Science, Psycinfo, CNAIHL et la bibliothèque Cochrane afin d'identifier toutes les études qualitatives concernant la douleur liée à l'arthrose jusqu'en octobre 2023. À l'aide du logiciel Rayyan, deux chercheurs ont sélectionné indépendamment les articles potentiellement pertinents et ont extrait les caractéristiques des études et des patients atteints d'arthrose. Tous les mots ou phrases exprimés par les patients arthrosiques et liés à leur douleur ont été recueillis sous forme de verbatims puis transformés lors de la phase de codification en concepts. Des thèmes descriptifs liés à ces concepts ont été définis. Enfin, lors de la synthèse thématique se basant sur les thèmes descriptifs, les thèmes analytiques ont été identifiés. La qualité méthodologique de chaque étude a été évaluée à l'aide de la liste COREQ (Consolidated Criteria for Reporting qualitative Research) (0–32). À partir des sept bases de données, 9585 études ont été incluses initialement. Après élimination des doublons et évaluation des titres, des résumés et des textes complets, 79 études qualitatives ont été sélectionnées, ce qui correspondait à 2009 patients. Lorsque les données étaient disponibles, les femmes représentaient 68 % des participants et l'âge moyen était de 64 ans. L'intensité moyenne de la douleur était de 4,5 sur 10 sur l'échelle visuelle analogique. Les études ont été menées sur quatre continents : Europe (n = 33), Amérique du Nord (n = 24), Australie (n = 14) et Asie (n = 8). Il s'agissait d'entretiens (n = 58), de focus groups (n = 14), de questionnaires (n = 4) et dans 3 articles, la méthode n'était pas précisée. Nous avons obtenu 667 verbatims aboutissant à 117 concepts et 24 thèmes descriptifs décrits dans la Figure 1 (par exemple : vie sociale, travail, adaptation comportementale, fatalisme, barrières, problèmes d'image de soi, soutien social, vie modifiée, détresse émotionnelle, déception à l'égard du traitement, dépendance...). Deux thèmes analytiques principaux ont été définis : les caractéristiques de l'arthrose (classées en maladie, symptômes, fonctionnement, psychologiques et sociales) et sa prise en charge (classée en symptômes, fonctionnement, psychologique et sociale). Le score médian du COREQ était de 21 [min–max : 8–29]. Cette étude a permis de recueillir plus de 600 verbatims de patients arthrosiques qui ont été classés en deux thèmes principaux : caractéristiques de la maladie et prise en charge. Les croyances et autres critères individuels classés dans la catégorie « Caractéristiques » pourraient aider à l'élaboration de matériel pédagogique et à compléter les instruments d'évaluation existants. Les barrières et les facilitateurs catégorisés dans « Prise en charge » peuvent soutenir le développement de matériel d'autoévaluation et de traitements. [ABSTRACT FROM AUTHOR]

Objectives: Systemic sclerosis (SSc) is a heterogeneous disease, complicating its management. Its complexity and the insufficiency of clinical manifestations alone to delineate homogeneous patient groups further challenge this task. However, autoantibodies could serve as relevant markers for the pathophysiological mechanisms driving the disease. Identifying specific immunological mechanisms based on patients' serological statuses might facilitate a deeper understanding of the diversity of the disease., Methods: A cohort of 206 patients with SSc enrolled in the PRECISESADS cross-sectional study was examined. Patients were stratified based on their anti-centromere (ACA) and anti-SCL70 (SCL70) antibody statuses. Comprehensive omics analyses including transcriptomic, flow cytometric, cytokine and metabolomic data were analysed to characterise the differences between these patient groups., Results: Patients with SCL70 antibodies showed severe clinical features such as diffuse cutaneous sclerosis and pulmonary fibrosis and were biologically distinguished by unique transcriptomic profiles. They exhibit a pro-inflammatory and fibrotic signature associated with impaired tissue remodelling and increased carnitine metabolism. Conversely, ACA-positive patients exhibited an immunomodulation and tissue homeostasis signature and increased phospholipid metabolism., Conclusions: Patients with SSc display varying biological profiles based on their serological status. The findings highlight the potential utility of serological status as a discriminating factor in disease severity and suggest its relevance in tailoring treatment strategies and future research directions., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ on behalf of EULAR.)

Reading hand and foot X-rays in rheumatoid arthritis patients is difficult and time-consuming. In research, physicians use the modified Sharp van der Heijde Sharp (mvdH) score by reading of hand and foot radiographs. The aim of this study was to create a new method of determining the mvdH via eye tracking and to study its concordance with the mvdH score. We created a new method of quantifying the mvdH score based on reading time of a reader monitored via eye tracking (Tobii Pro Lab software) after training with the aid of a metronome. Radiographs were read twice by the trained eye-tracking reader and once by an experienced reference radiologist. A total of 440 joints were selected; 416 could be interpreted for erosion, and 396 could be interpreted for joint space narrowing (JSN) when read by eye tracking (eye tracking could not measure the time spent when two pathological joints were too close together). The agreement between eye tracking mvdH Sharp score and classical mvdH Sharp score yes (at least one erosion or JSN) versus no (no erosion or no JSN) was excellent for both erosions (kappa 0.97; 95% CI: 0.96-0.99) and JSN (kappa: 0.95; 95% CI: 0.93-0.097). This agreement by class (0 to 10) remained excellent for both erosions (kappa 0.82; 95% CI: 0.79-0.0.85) and JSN (kappa: 0.68; 95% CI: 0.65-0.0.71). To conclude, eye-tracking reading correlates strongly with classical mvdH-Sharp and is useful for assessing severity, segmenting joints and establishing a rapid score for lesions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Quéré et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Although non-pharmacological therapies for knee osteoarthritis (OA) are essential pillars of care, they are often poorly considered and inconsistently applied., Objectives: Under the umbrella of the French Society of Rheumatology (SFR) and the French Society of Physical Medicine and Rehabilitation (SOFMER), we aimed to establish consensual recommendations for the non-pharmacological management of people with knee OA., Methods: A group of fellows performed a systematic literature review on the efficacy and safety of non-pharmacological modalities (up to October 2021). The fellows then took part in discussions with a multidisciplinary group of experts to draft a list of recommendations. The list was then submitted to an independent reading committee who rated their level of agreement with each recommendation. Each recommendation was assigned a strength of recommendation and a level of evidence., Results: Five general principles were unanimously accepted: (A) the need to combine non-pharmacological and pharmacological measures; (B) the need for personalized management; (C) the need to promote adherence; (D) the need for adapted physical activity; and (E) the need for person-centered education. Specific positive or negative recommendations were defined for 11 modalities: (1) unloading knee brace; (2) kinesiotaping or knee sleeves; (3) shoes and/or insoles; (4) using a cane; (5) physical exercise program; (6) joint mobilization; (7) electro- or thermo-therapy; (8) acupuncture; (9) weight loss; (10) thermal spa therapy; and (11) workplace accommodation., Conclusions: These SFR/SOFMER recommendations provide important and consensual knowledge to assist health professionals in decision-making for non-pharmacological treatments for knee OA., Competing Interests: Declaration of competing interest Each member of the SC submitted a declaration of interest prior to the meetings. Any potential conflicts of interest were managed by the SFR Ethics Commission before the 1st meeting. In the case of conflicts of interest, the participant(s) did not take part in discussions or vote. Some of the members of the SC declare conflicts of interest: i) PO: Proteor (consulting, hospitality, grants); ii) CN: Thuasne (consulting, hospitality); iii) YH: Wobenzym, Thuasne, Tilman (Consulting fee); iv) AD: Thuasne (consulting, hospitality). The other authors declare that they have no links of interest in connection with this work., (Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.)

Objectives: Anti-neutrophil cytoplasm antibodies (ANCA)-associated vasculitides (AAV) are rare conditions characterized by inflammatory cell infiltration in small blood vessels, leading to tissue necrosis. While most patients with AAV present antibodies against either myeloperoxidase (MPO) or proteinase 3 (PR3), rare cases of dual positivity for both antibodies (DP-ANCA) have been reported, and their impact on the clinical picture remains unclear. The goal of this study was to investigate the clinical implications, phenotypic profiles and outcomes of patients with DP-ANCA., Methods: A retrospective screening for DP-ANCA cases was conducted at Brest University Hospital's immunology laboratory (France), analysing ANCA results from March 2013 to March 2022. Clinical, biological, imaging, and histological data were collected for each DP-ANCA case. Additionally, a comprehensive literature review on DP-ANCA was performed, combining an artificial intelligence (AI)-based search using BIBOT software with a manual PUBMED database search., Results: The report of our cases over the last 9 years and those from the literature yielded 103 described cases of patients with DP-ANCA. We identified four distinct phenotypic profiles: (i) idiopathic AAV (∼30%); (ii) drug-induced AAV (∼25%); (iii) autoimmune disease associated with a low risk of developing vasculitis (∼20%); and (iv) immune-disrupting comorbidities (infections, cancers, etc) not associated with AAV (∼25%)., Conclusion: This analysis of over a hundred DP-ANCA cases suggests substantial diversity in clinical and immunopathological presentations. Approximatively 50% of DP-ANCA patients develop AAV, either as drug-induced or idiopathic forms, while the remaining 50%, characterized by pre-existing dysimmune conditions, demonstrates a remarkably low vasculitis risk. These findings underscore the complex nature of DP-ANCA, its variable impact on patient health, and the necessity for personalized diagnostic and management approaches in these cases., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To develop recommendations for the routine management of patients with polymyalgia rheumatica (PMR)., Methods: Following standard procedures, a systematic review of the literature by five supervised junior rheumatologists, based on the questions selected by the steering committee (5 senior rheumatologists), was used as the basis for working meetings, followed by a one-day plenary meeting with the working group (15 members), leading to the development of the wording and determination of the strength of the recommendations and the level of agreement of the experts., Results: Five general principles and 19 recommendations were drawn up. Three recommendations relate to diagnosis and the use of imaging, and five to the assessment of the disease, its activity and comorbidities. Non-pharmacological therapies are the subject of one recommendation. Three recommendations concern initial treatment based on general corticosteroid therapy, five concern the reduction of corticosteroid therapy and follow-up, and two concern corticosteroid dependence and steroid-sparing treatments (anti-IL-6)., Conclusion: These recommendations take account of current data on PMR, with the aim of reducing exposure to corticosteroid therapy and its side effects in a fragile population. They are intended to be practical, to help practitioners in the day-to-day management of patients with PMR., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Objective: The biologic diagnosis of primary Sjögren disease (SjD) mainly relies on anti-Ro60/SSA antibodies, whereas the significance of anti-Ro52/TRIM21 antibodies currently remains unclear. The aim of this study was to characterize the clinical, serological, biologic, transcriptomic, and interferon profiles of patients with SjD according to their anti-Ro52/TRIM21 antibody status., Methods: Patients with SjD from the European PRECISESADS (n = 376) and the Brittany Diagnostic Suspicion of primitive Sjögren's Syndrome (DIApSS); (n = 146) cohorts were divided into four groups: double negative (Ro52 - /Ro60 - ), isolated anti-Ro52/TRIM21 positive (Ro52 + ), isolated anti-Ro60/SSA positive (Ro60 + ), and double-positive (Ro52 + /Ro60 + ) patients. Clinical information; EULAR Sjögren Syndrome Disease Activity Index, a score representing systemic activity; and biologic markers associated with disease severity were evaluated. Transcriptome data obtained from whole blood by RNA sequencing and type I and II interferon signatures were analyzed for PRECISESADS patients., Results: In the DIApSS cohort, Ro52 + /Ro60 + patients showed significantly more parotidomegaly (33.3% vs 0%-11%) along with higher β2-microglobulin (P = 0.0002), total immunoglobulin (P < 0.0001), and erythrocyte sedimentation rate levels (P = 0.002) as well as rheumatoid factor (RF) positivity (66.2% vs 20.8%-25%) compared to other groups. The PRECISESADS cohort corroborated these observations, with increased arthritis (P = 0.046), inflammation (P = 0.005), hypergammaglobulinemia (P < 0.0001), positive RF (P < 0.0001), leukopenia (P = 0.004), and lymphopenia (P = 0.009) in Ro52 + /Ro60 + patients. Cumulative EULAR Sjögren Syndrome Disease Activity Index results further confirmed these disparities (P = 0.002). Transcriptome analysis linked anti-Ro52/TRIM21 antibody positivity to interferon pathway activation as an underlying cause for these clinical correlations., Conclusion: These results suggest that the combination of anti-Ro52/TRIM21 and anti-Ro60/SSA antibodies is associated with a clinical, biologic, and transcriptional profile linked to greater disease severity in SjD through the potentiation of the interferon pathway activation by anti-Ro52/TRIM21 antibodies., (© 2023 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Objectives: Sjögren's disease (SjD) is a heterogenous disease with a wide range of manifestations, ranging from symptoms of dryness, fatigue, and pain, to systemic involvement. Considerable advances have been made to evaluate systemic activity or patient-reported outcomes, but most of the instruments were not able to assess all domains of this multifaceted disease. The aim of this scoping review was to generate domains that have been assessed in randomized controlled trials, as the first phase of the Outcome Measures in Rheumatology (OMERACT) process of core domain set development., Methods: We systematically searched Medline (Pubmed) and EMBASE between 2002 and March 2023 to identify all randomized controlled trials assessing relevant domains, using both a manual approach and an artificial intelligence software (BIBOT) that applies natural language processing to automatically identify relevant abstracts. Domains were mapped to core areas, as suggested by the OMERACT 2.1 Filter., Results: Among the 5,420 references, we included 60 randomized controlled trials, focusing either on overall disease manifestations (53%) or on a single organ/symptom: dry eyes (17%), xerostomia (15%), fatigue (12%), or pulmonary function (3%). The most frequently assessed domains were perceived dryness (52% for overall dryness), fatigue (57%), pain (52%), systemic disease activity (45%), lacrimal gland function (47%) and salivary function (55%), B-cell activation (60%), and health-related quality of life (40%)., Conclusion: Our scoping review highlighted the heterogeneity of SjD, in the study designs and domains. This will inform the OMERACT SjD working group to select the most appropriate core domains to be used in SjD clinical trials and to guide the future agenda for outcome measure research in SjD., Competing Interests: Declaration of competing interest Yann Nguyen, Maxime Beydon, Nathan Foulquier, Rachael Gordon, Coralie Bouillot, and Katherine M. Hammit declared no competing interest. Simon Bowman reports receiving funds for consulting from Bristol-Myers Squibb, Iqvia, Janssen, Kiniksa, Novartis, Otsuka-Visterra. His-salary is part funded by the NIHR Birmingham Biomedical Research centre, Birmingham, UK. Xavier Mariette received consulting fees from Astra-Zeneca, Bristol Myer Squib, Galapagos, GSK, Novartis and Pfizer; travel fees from Novartis. Sara McCoy received consulting fees from BMS, Novartis, Otuska/Visterra, Horizon, Target RWE, Horizon, and Kiniksa. Her time is supported by the Clinical and Translational Science Award (CTSA) program, through the NIH National Center for Advancing Translational Sciences (NCATS), grant 1KL2TR002374 and NIH/NIDCR R03DE031340. Divi Cornec declares no personal financial competing interests and received research funding from Novartis and GSK. Raphaele Seror reports receiving funds for consulting to Bristol-Myers Squibb, Novartis, GSK, Janssen, Amgen, and Boehringher; honoria from Bristol-Myers Squibb, Boehringher, GSK, and travel fees from Amgen and GSK., (Copyright © 2024. Published by Elsevier Inc.)

Sjögren's disease (SjD) is a systemic autoimmune exocrinopathy with key features of dryness, pain, and fatigue. SjD can affect any organ system with a variety of presentations across individuals. This heterogeneity is one of the major barriers for developing effective disease modifying treatments. Defining core disease domains comprising both specific clinical features and incorporating the patient experience is a critical first step to define this complex disease. The OMERACT SjD Working Group held its first international collaborative hybrid meeting in 2023, applying the OMERACT 2.2 filter toward identification of core domains. We accomplished our first goal, a scoping literature review that was presented at the Special Interest Group held in May 2023. Building on the domains identified in the scoping review, we uniquely deployed multidisciplinary experts as part of our collaborative team to generate a provisional domain list that captures SjD heterogeneity., Competing Interests: Declaration of competing interest Valerie Devauchelle reports receinving funds for consulting to Novartis, Abbvie, Fresenius Kabi. Divi Cornec declares no personal financial competing interests and received research funding from Novartis and GSK. Benjamin A. Fisher has undertaken consultancy for Novartis, BMS, Servier, Galapagos, Roche, UCB, Sanofi and Janssen, and received grant/research support from Janssen, Celgene, Galapagos, Servier. Alberta Hoi reports receiving research funding from AstraZeneca, Bristol-Myers Squibb, Novartis, Janssen. Chiara Baldini reports receiving funds for consulting to GSK, Novartis and Horizon, honoraria for educational events from GSK and Sanofi, support for attending meetings from Abbvie and Bristol-Myers Squibb. WF Ng has consulted for Novartis, GlaxoSmithKline, Abbvie, BMS, Sanofi, MedImmune, Resolves Therapeutics, Janssen and UCB. Simon Bowman receiving funds for consulting from Bristol-Myers Squibb, Iqvia, Janssen, Kiniksa, Novartis, Otsuka-Visterra. His-salary is part funded by the Birmingham Biomedical Research Centre, Birmingham, UK. Karina Torralba reports receiving funds for consulting to Horizon, AstraZeneca, Janssen; for contracted research work with Bioclinica; for clinical trial funding from Novartis, AstraZeneca, GlaxoSmithKline, Amgen. Athena Papas declares grant funding from Novartis and Horizon; advisory board for Novartis. Ionut Pintilie reports receiving funds for consulting to Abbvie, Novartis, Pfizer, Sandoz, Ewopharma, KRKA, Stada, Boehringer Ingelheim, MagnaPharm, MSD. Xavier Mariette declares consulting fee from Astra Zeneca, BMS, Galapagos, GSK, Novartis, and Pfizer. Maria Antonietta D'Agostino, MD, PhD Speakers, or consultant fees from Amgen, Abbvie, BMS, Novartis, Galapagos, UCB, Pfizer, Lily, Janssen. Alan Baer reports receiving funds for consulting to Bristol-Myers Squibb and iCell Gene Therapeutics. Blake M. Warner declares research funding and material transfer agreements with Pfizer, Inc., and Mitobridge, Inc. Soumya D. Chakravarty is an employee of Janssen Scientific Affairs, LLC, and owns stock or stock options in Johnson & Johnson, of which Janssen Scientific Affairs, LLC is a wholly owned subsidiary. Nevsun Inanc reports claims to have received speakers fee from Novartis, Abbvie, Pfizer, UCB, Eli-Lilly and consultancy fee from Abbvie, UCB, Eli-Lilly. Vibeke Strand reports being a founding member of the executive committee of Outcome Measures in Rheumatology (OMERACT) [1992 – present], an international consensus organization that develops and validates outcome measures in rheumatology randomized controlled trials and longitudinal observational studies and has received arms-length funding from as many as 36 sponsors. Md Yuzaiful Md Yusof has received speaker fees from Roche and Novartis and consultancy fees from Aurinia Pharmaceuticals and UCB. Suzanne Arends declares consultancy fees from Argenx and Novartis. Anas Alexis Benyoussef is a consultant for Horus Pharma and Quantel Medical. Sharmila Masli is a consultant for Stellular Bio Inc. and Proteris Biotech. Maureen Rischmueller has undertaken consultancy/speaker engagements for AbbVie, Boehringer Ingelheim, Janssen Global Services, Novartis, Pfizer and Sandoz, and received grant/research support from AbbVie, Amgen, AstraZeneca, BMS, GSK, Janssen, Lilly, Novartis, Pfizer, Servier and UCB. Sara McCoy reports receiving funds for consulting to Bristol-Myers Squibb, Horizon, Novartis, Kiniksa, Targe RWE, Otsuka, Visterra, and iCell. Her time is supported by the Clinical and Translational Science Award (CTSA) program, through the NIH National Center for Advancing Translational Sciences (NCATS), grant 1KL2TR002374 and NIH/NIDCR R03DE031340. Raphaele Seror reports receiving funds for consulting to Bristol-Myers Squibb, Novartis, GSK, Janssen, Amgen. Hendrika Bootsma declares consultancy fees from Argenx, Novartis, BMS, AztraZeneca, Galapagos.Independent grants from AstraZeneca, Novartis, BMS., (Copyright © 2024. Published by Elsevier Inc.)

Objectives: Many study groups have developed scores to reflect disease activity. The result of this fragmented process is a multitude of disease activity scores, even for a single disease. We aimed to identify and standardise disease activity scores in rheumatologyMETHODS: We conducted a literature review on disease activity criteria using both a manual approach and in-house computer software (BIBOT) that applies natural language processing to automatically identify and interpret important words in abstracts published in English between 1.1.1975 and 31.12.2018. We selected activity scores with cut-off values divided into four classes (remission and low, moderate and high disease activity). We used a linear interpolation to map disease activity scores to our new score, the AS135, and developed a smartphone application to perform the conversion., Results: A total of 108 activity criteria from various fields were identified, but it was in rheumatology that we found the most pronounced separation into four classes. We built the AS135 score modification for each selected score using a linear interpolation of the existing criteria. The score modification was defined on the interval [0,10], and values of 1, 3 and 5 were used as thresholds. These arbitrary thresholds were then associated with the thresholds of the existing criteria, and an interpolation was calculated, allowing conversion of the existing criteria into the AS135 criterion. Finally, we created a mobile application., Conclusions: We developed an application for clinicians that enables the use of a single disease activity score for different inflammatory rheumatic diseases using an intuitive scale.

The recent emergence of imaging mass cytometry technology has led to the generation of an increasing amount of high-dimensional data and, with it, the need for suitable performant bioinformatics tools dedicated to specific multiparametric studies. The first and most important step in treating the acquired images is the ability to perform highly efficient cell segmentation for subsequent analyses. In this context, we developed YOUPI (Your Powerful and Intelligent tool) software. It combines advanced segmentation techniques based on deep learning algorithms with a friendly graphical user interface for non-bioinformatics users. In this article, we present the segmentation algorithm developed for YOUPI. We have set a benchmark with mathematics-based segmentation approaches to estimate its robustness in segmenting different tissue biopsies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Scuiller, Hemon, Le Rochais, Pers, Jamin and Foulquier.)

Objective: Anti-Ro autoantibodies are among the most frequently detected extractable nuclear antigen autoantibodies, mainly associated with primary Sjögren's syndrome (SS), systemic lupus erythematosus (SLE), and undifferentiated connective tissue disease (UCTD). This study was undertaken to determine if there is a common signature for all patients expressing anti-Ro 60 autoantibodies regardless of their disease phenotype., Methods: Using high-throughput multiomics data collected from the cross-sectional cohort in the PRECISE Systemic Autoimmune Diseases (PRECISESADS) study Innovative Medicines Initiative (IMI) project (genetic, epigenomic, and transcriptomic data, combined with flow cytometry data, multiplexed cytokines, classic serology, and clinical data), we used machine learning to assess the integrated molecular profiling of 520 anti-Ro 60+ patients compared to 511 anti-Ro 60- patients with primary SS, patients with SLE, and patients with UCTD, and 279 healthy controls., Results: The selected clinical features for RNA-Seq, DNA methylation, and genome-wide association study data allowed for a clear distinction between anti-Ro 60+ and anti-Ro 60- patients. The different features selected using machine learning from the anti-Ro 60+ patients constituted specific signatures when compared to anti-Ro 60- patients and healthy controls. Remarkably, the transcript Z score of 3 genes (ATP10A, MX1, and PARP14), presenting with overexpression associated with hypomethylation and genetic variation and independently identified using the Boruta algorithm, was clearly higher in anti-Ro 60+ patients compared to anti-Ro 60- patients regardless of disease type. Our findings demonstrated that these signatures, enriched in interferon-stimulated genes, were also found in anti-Ro 60+ patients with rheumatoid arthritis and those with systemic sclerosis and remained stable over time and were not affected by treatment., Conclusion: Anti-Ro 60+ patients present with a specific inflammatory signature regardless of their disease type, suggesting that a dual therapeutic approach targeting both Ro-associated RNAs and anti-Ro 60 autoantibodies should be considered., (© 2022 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Background: Clinical trials are essential in medical science and are currently the most robust strategy for evaluating the effectiveness of a treatment. However, some of these studies are less reliable than others due to flaws in their design. Assessing the robustness of a clinical trial can be a very complex and time-consuming task, with factors such as randomization, masking and the description of withdrawals needing to be considered., Method: We built a program based on artificial intelligence (AI) approaches, designed to assess the robustness of a clinical trial by estimating its Jadad's score. The program is composed of five Recursive Neural Networks (RNN), each of them trained to spot one specific item constituting the Jadad's scale. After training, the algorithm was tested on two different validation sets (one from the original database: 35% of this database was used for validation and 65% for training; one composed of 10 articles, out of the original database, for which the Jadad's score has been computed by each contributor of this study)., Result: After training, the algorithm achieved a mean accuracy of 96,2% (ranging from 93% to 98%) and a mean area under the curve (AUC) of 96% (ranging from 95% to 97%) on the first validation dataset. These results indicate good feature detection capacity for each of the five RNN. On the second validation dataset the algorithm extracted 100% of the item to retrieve for 70% of the articles and between 66% and 75% for 30% of the articles. Overall 85% of the items present in the second validation dataset were correctly extracted. None of the extracted items was misclassified., Conclusion: We developed a program that can automatically estimate the Jadad's score of a clinical trial with a good accuracy. Automating the assessment of this metric could be very useful in a systematic review of the literature and will probably save clinicians time., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

There is currently no approved treatment for primary Sjögren's syndrome, a disease that primarily affects adult women. The difficulty in developing effective therapies is -in part- because of the heterogeneity in the clinical manifestation and pathophysiology of the disease. Finding common molecular signatures among patient subgroups could improve our understanding of disease etiology, and facilitate the development of targeted therapeutics. Here, we report, in a cross-sectional cohort, a molecular classification scheme for Sjögren's syndrome patients based on the multi-omic profiling of whole blood samples from a European cohort of over 300 patients, and a similar number of age and gender-matched healthy volunteers. Using transcriptomic, genomic, epigenetic, cytokine expression and flow cytometry data, combined with clinical parameters, we identify four groups of patients with distinct patterns of immune dysregulation. The biomarkers we identify can be used by machine learning classifiers to sort future patients into subgroups, allowing the re-evaluation of response to treatments in clinical trials.

Whipple disease (WD) is a rare infectious systemic disease. Rheumatologists are at the frontline of WD diagnosis due to the early rheumatological manifestations. An early diagnosis is crucial, as usual anti-rheumatic drugs, especially TNF inhibitors, may worsen the disease course. We conducted a retrospective multicentre national study from January 2010 to April 2020 to better characterize the rheumatological features of WD. Classic WD (CWD) was defined by positive periodic acid-Schiff (PAS) staining of a small-bowel biopsy sample, and non-CWD (NCWD) was defined by negative PAS staining of a small-bowel biopsy sample but at least one positive Tropheryma whipplei (TW) polymerase chain reaction (PCR) for a digestive or extradigestive specimen. Sixty-eight patients were enrolled, including 11 CWD patients. Twenty patients (30%) received TNF inhibitors during the WD course, with inefficacy or symptom worsening. More digestive symptoms and systemic biological features were observed in CWD patients than in NCWD patients, but both patient groups had similar outcomes, especially concerning the response to antibiotics and relapse rate. Stool and saliva TW PCR sensitivity were both 100% for CWD and 75% for NCWD and 89% and 60% for small-bowel biopsy sample PCR, respectively. WD encountered in rheumatology units has many presentations, which might result from different pathophysiologies that are dependent on host immunity. Given the heterogeneous presentations and the presence of chronic carriage, multiple TW PCR tests on samples from specific rheumatological sites when possible should be performed, but samples from nonspecific digestive and extradigestive sites also have great value.

Autoimmune diseases (AIDs) share similar serological, clinical, and radiological findings, but, behind these common features, there are different pathogenic mechanisms, immune cells dysfunctions, and targeted organs. In this context, multiple lines of evidence suggest the application of precision medicine principles to AIDs to reduce the treatment failure. Precision medicine refers to the tailoring of therapeutic strategies to the individual characteristics of each patient, thus it could be a new approach for management of AIDS which considers individual variability in genes, environmental exposure, and lifestyle. Precision medicine would also assist physicians in choosing the right treatment, the best timing of administration, consequently trying to maximize drug efficacy, and, possibly, reducing adverse events. In this work, the growing body of evidence is summarized regarding the predictive factors for drug response in patients with AIDs, applying the precision medicine principles to provide high-quality evidence for therapeutic opportunities in improving the management of these patients., (Copyright © 2020. Published by Elsevier B.V.)

Rheumatologists use classification criteria to separate patients with inflammatory rheumatic diseases (IRD). They change over time, and the concepts of the diseases also change. The paradigm is currently moving as the goal of classification in the future will be more to select which patients may be relevant for a specific treatment rather than to describe their characteristics. Therefore, the challenge will be to reclassify multifactorial diseases on the basis of their biological mechanisms rather than their clinical phenotype. Currently, various projects are trying to reclassify diseases using bioinformatics approaches and in the near future the use of advanced machine learning algorithms with large omics datasets could lead to new classification models not only based on a clinical phenotype but also on complex biological profile and common sensitivity to targeted treatment. These models would highlight common biological pathways between patients classified in the same cluster and provide a deep understanding of the mechanisms involved in the patient's clinical phenotype. Such approaches would ultimately lead to classification models that rely more on biological causes than on symptoms. This overview on current classification of subgroups of IRD summarises the classification criteria that we use routinely, and how we will classify IRD in the future using bioinformatics and artificial intelligence techniques.

Objectives: Manual systematic literature reviews are becoming increasingly challenging due to the sharp rise in publications. The primary objective of this literature review was to compare manual and computer software using artificial intelligence retrieval of publications on the cutaneous manifestations of primary SS, but we also evaluated the prevalence of cutaneous manifestations in primary SS., Methods: We compared manual searching and searching with the in-house computer software BIbliography BOT (BIBOT) designed for article retrieval and analysis. Both methods were used for a systematic literature review on a complex topic, i.e. the cutaneous manifestations of primary SS. Reproducibility was estimated by computing Cohen's κ coefficients and was interpreted as follows: slight, 0-0.20; fair, 0.21-0.40; moderate, 0.41-0.60; substantial, 0.61-0.80; and almost perfect, 0.81-1., Results: The manual search retrieved 855 articles and BIBOT 1042 articles. In all, 202 articles were then selected by applying exclusion criteria. Among them, 155 were retrieved by both methods, 33 by manual search only, and 14 by BIBOT only. Reliability (κ = 0.84) was almost perfect. Further selection was performed by reading the 202 articles. Cohort sizes and the nature and prevalence of cutaneous manifestations varied across publications. In all, we found 52 cutaneous manifestations reported in primary SS patients. The most described ones were cutaneous vasculitis (561 patients), xerosis (651 patients) and annular erythema (215 patients)., Conclusion: Among the final selection of 202 articles, 155/202 (77%) were found by the two methods but BIBOT was faster and automatically classified the articles in a chart. Combining the two methods retrieved the largest number of publications., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade. An automatic bibliography screening method has been developed to perform this task. The program called BIBOT was designed to fetch and analyze articles from the pubmed database using a list of keywords and Natural Language Processing approaches. The evolution of trends in statistical approaches, sizes of cohorts and number of publications over this period were also computed in the process. In all, 44077 abstracts were screened and 1017 publications were analyzed. The mean number of selected articles was 101.0 (S.D. 19.16) by year, but increased significantly over the time (from 74 articles in 2008 to 138 in 2017). Among them only 12 focused on pSS but none of them emphasized on the aspect of pathogenesis-based treatments. To conclude, medicine progressively enters the era of big data analysis and artificial intelligence, but these approaches are not yet used to describe pSS-specific pathogenesis-based treatment. Nevertheless, large multicentre studies are investigating this aspect with advanced algorithmic tools on large cohorts of SADs patients.