Autoimmune Inflammatory Rheumatic Diseases Research Articles

Exercise for improving bone health in patients with AIRDs: Understanding underlying biology and physiology.

Exercise has numerous health benefits in patients with autoimmune inflammatory rheumatic diseases (AIRDs). Regular physical activity can help maintain/improve bone health. The aim of the present article was to review current knowledge on the effects of exercise on bone health in patients with AIRDs, particularly in those experiencing a high corticosteroid burden. The article also aimed to discuss potential mechanisms underlying the benefits of physical activity/exercise on bone tissue. Potential explanations regarding the role of exercise on bone health in AIRDs include anti-inflammatory effects, mechanical loading, improvement in muscle strength, hormonal changes, improvement in balance, and effects on telomere erosion, deoxyribonucleic acid methylation, and gene expression. Current evidence regarding the outcomes of exercise on bone health in patients with AIRDs is predominantly derived from studies focused on rheumatoid arthritis. Expanding research to include other rheumatic conditions would enhance the overall understanding of this topic.

Information and communication technology-based patient education for autoimmune inflammatory rheumatic diseases: A scoping review

ObjectiveThis review aimed to map the existing the information and communication technology (ICT)-based patient education for autoimmune inflammatory rheumatic diseases and identify key effectiveness factors and guidelines for professionals. MethodsA scoping review systematically reviewed PubMed, Cochrane library, EMBASE and Web of Science. We designed search strategies to identify ICT-based patient education for autoimmune inflammatory rheumatic diseases focused on rheumatoid arthritis, ankylosing spondylitis, and systemic lupus erythematosus, published between January 2011 and October 2023. Data extraction was independently screened by two reviewers according to the eligibility criteria. ResultsOf 13,861 records, 18 met the eligibility criteria. Most studies were randomized controlled trials, primarily conducted in the USA, focusing on rheumatoid arthritis. ICT-based interventions included web-based platforms, aiming to improve self-management, medication adherence, with most interventions showing significant improvements. Digital tools such as websites, chatbots were common. Five groups representing the ICT functions were identified: digital self-management tools, multimedia learning materials, personalized educational sessions, behavior change and empathy games, and interactive online communities and peer support. Most studies lacked theoretical frameworks, or guidelines for developing patient education. ConclusionICT-based patient education has significant potential for enhancing self-management and behavior changes in patients with autoimmune inflammatory rheumatic diseases.

Expert Panel Consensus Statements on Vaccination for Adults with AIRD in India

Introduction: Due to notable distinctions in infection patterns, vaccine accessibility, and approaches to treatment among patients with autoimmune inflammatory rheumatic diseases (AIRD) in India compared to other regions globally, the Indian Rheumatology Association Vaccine (IRAVAC) group was formed to develop expert panel consensus statements on vaccination for adults with AIRDs in India. Methods: The IRAVAC group comprised seven rheumatologists, one epidemiologist, two infectious disease specialists, one clinical virologist, one specialist nurse, and a patient representative. The group determined the scope of the consensus statements, framed the research questions, and assigned a team of few members to review the evidence who designed the search strategy and conducted the systematic literature search and data extraction. Another group of members subsequently reviewed the articles for each vaccine, prepared a summary, generated draft statements, and assigned them an appropriate level of evidence. Eighty-eight such draft statements were circulated to the members of IRAVAC for review and deliberation. The draft statements were revised accordingly, and the final set of 48 statements on vaccinations for eight diseases was voted upon by the IRAVAC group, with a predefined 75% agreement set as a threshold for acceptance. It is envisaged that these consensus statements related to vaccination in AIRD would be helpful not only to rheumatologists in India but also to those in other countries.

Incidence and clinical course of femoral localized periosteal thickening and atypical femoral fracture over a 10-year period in patients with autoimmune inflammatory rheumatic disease.

Atypical femoral fracture (AFF) is generally a rare complication of long-term use of bisphosphonate (BP); glucocorticoid (GC) use and Asian race are also risk factors. Femoral localized periosteal thickening (LPT, also termed "beaking") of the lateral cortex often precedes AFF. This cohort study investigated the incidence of LPT and AFF and their clinical courses over 10yr in patients with autoimmune inflammatory rheumatic diseases (AIRDs) treated with BP and GC. The study population consisted of 121 patients with AIRDs taking BP and GC. LPT was screened by X-ray, and the LPT shape was evaluated. Prednisolone (PSL) dose was 10 (8-12) mg/d at enrollment and 9 (6-10) mg/d at the last observation. LPT was evident in 10 patients at enrollment and increased linearly to 31 patients (26%) at the last observation. AFF occurred in 9 femurs of 5 patients with LPT. All patients with AFF had bilateral LPT, and the prevalence of pointed type and LPT height were higher in the AFF-positive group than in the AFF-negative group. AFF occurred before BP discontinuation in 2 patients, 1yr after BP discontinuation in 1, after BP discontinuation followed by 7yr of alfacalcidol use in 1, and after switching from alfacalcidol to denosumab in 1. The prevalence rates of AFF and LPT associated with long-term BP use with concomitant use of GC (mostly PSL ≥ 6mg/d) in Japanese patients with AIRD increased over time. The selection of long-term osteoporosis treatment for LPT-positive patients is difficult in some cases.

COVID-19 Vaccination Before Initiating Rituximab Treatment Induces Strong Serological Response in Autoimmune Rheumatic Disease, Reducing Post-Pandemic Concerns About the Impact of Rituximab.

Rituximab (RTX)-treated patients exhibit suboptimal responses to COVID-19 vaccines. However, existing research primarily involves patients already receiving RTX when vaccines were introduced, failing to account for the current landscape where patients are vaccinated before initiating RTX. Our objective was to compare the serological response to COVID-19 vaccines in patients vaccinated before or after RTX initiation. We included 254 RTX-treated patients with autoimmune inflammatory rheumatic diseases (AIIRDs) and 113 blood donors (BDs) in a retrospective, observational cohort study. Patients were categorized based on the timing of RTX treatment relative to primary COVID-19 vaccination. Serological vaccine responses were assessed using three immunoassays, and logistic regression analysis was used to identify predictors of serological response. Patients vaccinated before initiating RTX treatment had significantly higher seroconversion rates of SARS-CoV-2 immunoglobulin G (87%) and neutralizing antibodies (91%) compared with those receiving RTX before and after vaccination (n = 132) (61% and 65%, respectively). In the logistic regression analysis, a positive serological response was associated with the number of vaccines administered >9 months after the last RTX treatment. Patients receiving the highest number of vaccines with >9 months after RTX showed a response comparable to that of the BDs. Vaccinating before RTX initiation yields a robust serological response in patients with AIIRDs. Furthermore, we highlight the reversibility of antibody impairment after RTX treatment cessation, provided that adequate vaccinations occur within a minimum of 9 months after RTX. Our findings offer essential insights for clinical decision-making regarding COVID-19 vaccination and RTX treatment, alleviating concerns about future RTX use.

Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study.

Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD. In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort. In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone. ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE. Chictr.org.cn : ChiCTR2200059599.

Heterogeneity of macrophage activation syndrome and treatment progression.

Macrophage activation syndrome (MAS) is a rare complication of autoimmune inflammatory rheumatic diseases (AIIRD) characterized by a progressive and life-threatening condition with features including cytokine storm and hemophagocytosis. Predisposing factors are typically associated with microbial infections, genetic factors (distinct from typical genetically related hemophagocytic lymphohistiocytosis (HLH)), and inappropriate immune system overactivation. Clinical features include unremitting fever, generalized rash, hepatosplenomegaly, lymphadenopathy, anemia, worsening liver function, and neurological involvement. MAS can occur in various AIIRDs, including but not limited to systemic juvenile idiopathic arthritis (sJIA), adult-onset Still's disease (AOSD), systemic lupus erythematosus (SLE), Kawasaki disease (KD), juvenile dermatomyositis (JDM), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), etc. Although progress has been made in understanding the pathogenesis and treatment of MAS, it is important to recognize the differences between different diseases and the various treatment options available. This article summarizes the cell types and cytokines involved in MAS-related diseases, the heterogeneity, and treatment options, while also comparing it to genetically related HLH.

Periconceptional Counselling in Women with Autoimmune Inflammatory Rheumatic Diseases.

Systemic autoimmune rheumatic diseases (SARDs) in pregnancy represent a complex challenge for both patients and healthcare providers. Timely preparation for pregnancy enables adequate disease control, thereby reducing the risk of disease flare and pregnancy complications. Interdisciplinary care starting from the pre-pregnancy period throughout pregnancy and during breastfeeding ensures better fetal and maternal outcomes. This review provides a comprehensive guide to pre-pregnancy counselling in SARDs, an overview of medication management strategies tailored to pregnancy, disease activity and pregnancy monitoring in patients, and the promotion of shared decision making between healthcare providers and patients. Guidelines from international organizations were selected to provide a basis for this review and guidance through the quintessential discussion points of care.

Impact of Immunomodulatory Therapy on COVID-19 Vaccine Response in Patients with Autoimmune Inflammatory Rheumatic Diseases.

Coronavirus disease 2019 (COVID-19) vaccination is essential for patients with autoimmune inflammatory rheumatic diseases (AIIRD) to reduce the risk of morbidity and mortality associated with serious COVID-19 infection. With endemicity, waning of vaccine- and infection-acquired immunity, and development of SARS-CoV-2 variants, the need for additional doses of vaccines against serious illness in high-risk immunocompromised persons remains imperative. This review examines how immunomodulatory therapies affect vaccine-induced immune response in patients with AIIRD. Glucocorticoids, methotrexate, azathioprine, calcineurin inhibitors, mycophenolate mofetil, tumor necrosis factor inhibitors, and abatacept have been shown to variably attenuate both humoral and cellular immune responses to vaccination. Janus kinase inhibitors reduce humoral immune response. In contrast, sulfasalazine, leflunomide, belimumab, interleukin (IL)-17, IL-12/23, IL-6, and IL-1 inhibitors appear favorable, with mild or no impact on vaccine response. Although rituximab is known to profoundly diminish humoral immune response, cellular immunity is relatively preserved. Administering a third and subsequent vaccine dose or temporally coordinating the dosing of immunomodulatory drugs may improve vaccine effectiveness. Further research is needed to personalise vaccination strategies for AIIRD patients, considering their specific immunomodulatory treatments.

Long-Term Autoimmune Inflammatory Rheumatic Outcomes of COVID-19 : A Binational Cohort Study.

Some data suggest a higher incidence of diagnosis of autoimmune inflammatory rheumatic diseases (AIRDs) among patients with a history of COVID-19 compared with uninfected patients. However, these studies had methodological shortcomings. To investigate the effect of COVID-19 on long-term risk for incident AIRD over various follow-up periods. Binational, longitudinal, propensity-matched cohort study. Nationwide claims-based databases in South Korea (K-COV-N cohort) and Japan (JMDC cohort). 10 027 506 Korean and 12 218 680 Japanese patients aged 20 years or older, including those with COVID-19 between 1 January 2020 and 31 December 2021, matched to patients with influenza infection and to uninfected control patients. The primary outcome was onset of AIRD (per appropriate codes from the International Classification of Diseases, 10th Revision) 1, 6, and 12 months after COVID-19 or influenza infection or the respective matched index date of uninfected control patients. Between 2020 and 2021, among the 10 027 506 Korean participants (mean age, 48.4 years [SD, 13.4]; 50.1% men), 394 274 (3.9%) and 98 596 (0.98%) had a history of COVID-19 or influenza, respectively. After propensity score matching, beyond the first 30 days after infection, patients with COVID-19 were at increased risk for incident AIRD compared with uninfected patients (adjusted hazard ratio, 1.25 [95% CI, 1.18 to 1.31]) and influenza-infected control patients (adjusted hazard ratio, 1.30 [CI, 1.02 to 1.59]). The risk for incident AIRD was higher with more severe acute COVID-19. Similar patterns were observed in the Japanese cohort. Referral bias due to the pandemic; residual confounding. SARS-CoV-2 infection was associated with increased risk for incident AIRD compared with matched patients without SARS-CoV-2 infection or with influenza infection. The risk for incident AIRD was higher with greater severity of acute COVID-19. National Research Foundation of Korea.

Evaluating the risk of ischemic stroke at a young age in patients with autoimmune inflammatory rheumatic diseases: a population-based cohort study in Taiwan.

Recent studies have demonstrated an increased incidence of ischemic stroke among patients with certain autoimmune inflammatory rheumatic diseases (AIIRDs). However, the associations between young stroke and AIIRDs have not been fully investigated. This study aimed to evaluate the risk of ischemic stroke among young patients with AIIRDs. The National Health Insurance Research Database in Taiwan was utilized to establish cohorts of patients with AIIRDs diagnosed between 2004 and 2015, who were compared with 1,000,000 control participants. Cox proportional hazards regression models were used to calculate the hazard ratio of ischemic stroke and young ischemic stroke for individual AIIRDs after adjustment for relative risk factors. During the study period, a total of 64,120 patients with AIIRDss and 1,000,000 control patients were identified. The overall mean follow-up time was 5.33 years. There were 223 (0.8%) and 1,923 (0.3%) young ischemic stroke-related hospitalizations among patients with AIIRDs and controls, respectively. The incidence rate of young ischemic stroke was 0.08 in patients with rheumatoid arthritis, 0.08 in patients with Sjögren's syndrome, 0.26 in patients with systemic lupus erythematosus, 0.17 in patients with idiopathic inflammatory myositis, 0.24 in patients with systemic sclerosis, 0.05 in patients with Behçet's disease, and 0.44 in patients with systemic vasculitis, versus 0.05 per 100 person-years in the general population. The adjusted hazard ratios for young ischemic stroke were 1.07 (95% CI 0.70-1.43) for rheumatoid arthritis, 1.39 (95% CI 0.94-2.06) for Sjögren's syndrome, 5.79 (95% CI 4.68-7.17) for systemic lupus erythematosus, 2.07 for idiopathic inflammatory myositis (95% CI 0.98-4.38), 2.79 for systemic sclerosis (95% CI 1.38-5.63), 0.82 for Behçet's disease (95% CI 0.26-2.55), and 4.15 (95% CI 1.96-8.82) for systemic vasculitis. Patients younger than 50 years with systemic lupus erythematosus, systemic sclerosis, or systemic vasculitis have a significantly elevated risk of developing ischemic stroke. Further research is needed to elucidate the pathogenesis of accelerated atherosclerosis in these AIIRDs.

Methodological aspects of anti-nuclear antibodies detection: EFLM, EASI, ICAP AND RAMLD recommendations

This is a review of international and Russian recommendation for the study of anti-nuclear antibodies (ANA) in autoimmune inflammatory rheumatic diseases (AIRD) and autoimmune liver diseases (ALD), including a description of the most important methodological aspects. The main purpose of laboratory diagnostics of AIRD and ALD is to obtain objective information about the presence and immunopathological changes, which is an important tool for early diagnosis, assessment of activity, severity, prognosis of the disease and the effectiveness of therapy. The positive results of ANA determination are the main laboratory markers of AIRD and ALD, being among the diagnostic criteria for diseases. The ‘gold standard’ and primary screening method for determining ANA in serum is the indirect immunofluorescence assay (IFA). Antigen-specific solid phase assays methods are used as confirmatory tests. Standardization of the ANA determination contributes for reducing the intra- and inter-laboratory variability of the results, helps to optimize the interaction between laboratory specialists and clinicians in matters of prescribing and clinical interpretation of ANA tests. Solving the problem of ANA detection standardization is important because of the growing number of laboratories performing these tests and an increased referring for this investigation from rheumatologists and another medical specialist.

Biological and glucocorticoids treatment impair the medium-term immunogenicity to SARS-CoV-2 mRNA vaccines in autoimmune inflammatory rheumatic diseases

BackgroundThis study aims to assess the sustained immunological response to the SARS-CoV-2 vaccine in patients with autoimmune inflammatory rheumatic diseases (AIRD) undergoing different treatment regimens.MethodsWe conducted a prospective observational study involving 157 AIRD patients without prior COVID-19 infection. Treatment regimens included non-treatment or glucocorticoid-only (not-treated/GCs), non-biological drugs, biological therapy, and JAK inhibitors. All participants completed the two-dose vaccine schedule, and 110 of them received an additional booster dose. Serum samples were collected approximately 3–6 months after the second and third vaccine doses to measure antibodies against the Spike protein (antiS-AB) and neutralizing antibodies (nAB) targeting six SARS-CoV-2 variants.ResultsFollowing the third dose, all patients exhibited a significant increase in antiS-AB (FC = 15, p < 0.0001). Patients under biological therapy had lower titres compared to the non-biological (66% decrease, p = 0.038) and the not-treated/GCs group (62% decrease, p = 0.0132), with the latter persisting after the booster dose (86% decrease, p = 0.0027). GC use was associated with lower antiS-AB levels in the biological group (87% decrease, p = 0.0124), although not statistically significant after confounders adjustment. nABs showed the highest positivity rates for the wild-type strain before (50%) and after the booster dose (93%), while the Omicron variant exhibited the lowest rates (11% and 55%, respectively). All variants demonstrated similar positivity patterns and good concordance with antiS-AB (AUCs from 0.896 to 0.997).ConclusionsThe SARS-CoV-2 vaccine booster strategy effectively elicited a sustained antibody immune response in AIRD patients. However, patients under biological therapies exhibited a reduced response to the booster dose, particularly when combined with GCs.

CD4/CD8 Ratio: An Independent Predictor of Herpes Zoster in Patients With Autoimmune Inflammatory Rheumatic Diseases.

A higher incidence of herpes zoster (HZ) was found in people with decreased cell-mediated immunity. However, the relationship between cellular immunity and HZ infection in patients with autoimmune inflammatory rheumatic diseases (AIRD) remains elusive. To investigate the role of CD4/CD8 ratio in patients with AIRD and HZ. This case-control study compared AIRD patients with and without HZ. We chose 70 AIRD patients with HZ as the experimental group and 140 AIRD patients without HZ as the control group. The clinical and laboratory findings were assessed in each trial participant. The CD4/CD8 ratio (odds ratio [OR], 0.22; 95% confidence interval [CI], 0.10-0.49) was independently associated with the occurrence of HZ after adjusting for various confounders. Nonlinear analysis has unveiled a more profound nonlinear relationship between the CD4/CD8 ratio and the occurrence of HZ in patients with AIRD. The OR of HZ increased with a decreasing CD4/CD8 ratio before the turning point of 2. The adjusted regression coefficient was 0.14 (95% CI, 0.05-0.37, p<0.0001) for CD4/CD8 ratio less than 2. The CD4/CD8 ratio was expected to be a very promising quantitative biomarker for predicting the risk of developing HZ in patients with AIRD.

Euthymic despite pain: the role of cognitive reappraisal and experiential avoidance in autoimmune inflammatory rheumatic diseases-a cross-sectional study.

Pain is a central feature of inflammatory rheumatic diseases and is associated with psychological distress. Pain is widely recognized not as a mere physical sensation, but as a complex, multidimensional phenomenon with an affective component. A plethora of research has conceptualized adaptation to pain by focusing on minimizing the pain experience. However, pain in autoimmune inflammatory rheumatic diseases is often neither avoidable nor curable. This cross-sectional study aimed to investigate the processes explaining how pain intensity may be associated with low well-being and why some patients may live well despite pain. Drawing upon the psychological (in)flexibility model and the process model of emotion regulation, we propose that cognitive reappraisal moderates the association between pain and euthymia through experiential avoidance. Ninety-seven patients with rheumatoid arthritis, psoriatic arthritis, or axial spondyloarthritis were included for analyses (mean age = 53.4; mean time since diagnosis = 9.2 years). Most patients were women (75%), married/cohabitant (71%), and attended high school (47%). Results indicate that experiential avoidance may explain how severe pain is associated with lowered euthymia. This indirect negative effect of pain intensity on euthymia became non-significant at high levels of cognitive reappraisal, suggesting that cognitive reappraisal may serve as a protective factor for patients with autoimmune inflammatory rheumatic diseases. This study paves the way for future research in this promising context by providing an initial step towards integrating emotion regulation and psychological inflexibility in pain conditions.

A review on cytomegalovirus in patients with autoimmune inflammatory rheumatic diseases: Prevalence, clinical spectrum, treatment, and antiviral prophylaxis

Human cytomegalovirus (CMV) is a highly infectious virus that is prevalent among adults worldwide. In immunocompetent individuals, CMV infection rarely causes complications. Following initial infection, however, CMV remains latent in the body and can be reactivated especially in immunocompromised patients, such as those with autoimmune inflammatory rheumatic diseases (AIIRDs), leading to tissue-invasive, life-threatening diseases, such as colitis, vascular thrombosis, and pneumonitis. Although there are standard treatment recommendations for symptomatic CMV disease, there is paucity of consensus in the role of primary and secondary antiviral prophylaxis to prevent CMV reactivation, especially in AIIRDs patients undergoing immunosuppressive therapy. Therein, this review aimed to provide an overview of the prevalence, clinical disease, risk factors, and treatment for CMV infection, as well as on the role of primary and secondary antiviral prophylaxis in AIIRDs patients. The emerging novel techniques that measure CMV-specific T-cell immunity as a guide to initiate prophylaxis in high-risk patients were also discussed.

Patient Acceptability of Symptom Screening and Patient Education Using a Chatbot for Autoimmune Inflammatory Diseases: Survey Study.

Chatbots have the potential to enhance health care interaction, satisfaction, and service delivery. However, data regarding their acceptance across diverse patient populations are limited. In-depth studies on the reception of chatbots by patients with chronic autoimmune inflammatory diseases are lacking, although such studies are vital for facilitating the effective integration of chatbots in rheumatology care. We aim to assess patient perceptions and acceptance of a chatbot designed for autoimmune inflammatory rheumatic diseases (AIIRDs). We administered a comprehensive survey in an outpatient setting at a top-tier rheumatology referral center. The target cohort included patients who interacted with a chatbot explicitly tailored to facilitate diagnosis and obtain information on AIIRDs. Following the RE-AIM (Reach, Effectiveness, Adoption, Implementation and Maintenance) framework, the survey was designed to gauge the effectiveness, user acceptability, and implementation of the chatbot. Between June and October 2022, we received survey responses from 200 patients, with an equal number of 100 initial consultations and 100 follow-up (FU) visits. The mean scores on a 5-point acceptability scale ranged from 4.01 (SD 0.63) to 4.41 (SD 0.54), indicating consistently high ratings across the different aspects of chatbot performance. Multivariate regression analysis indicated that having a FU visit was significantly associated with a greater willingness to reuse the chatbot for symptom determination (P=.01). Further, patients' comfort with chatbot diagnosis increased significantly after meeting physicians (P<.001). We observed no significant differences in chatbot acceptance according to sex, education level, or diagnosis category. This study underscores that chatbots tailored to AIIRDs have a favorable reception. The inclination of FU patients to engage with the chatbot signifies the possible influence of past clinical encounters and physician affirmation on its use. Although further exploration is required to refine their integration, the prevalent positive perceptions suggest that chatbots have the potential to strengthen the bridge between patients and health care providers, thus enhancing the delivery of rheumatology care to various cohorts.

Do Not Leave Your Patients in the Dark-Using American College of Rheumatology and European Alliance of Associations for Rheumatology Recommendations for Vaccination in Polish Adult Patients with Autoimmune Inflammatory Rheumatic Diseases.

(1) Introduction: Patients with autoimmune inflammatory rheumatic diseases (AIIRD) face a higher infectious risk compared to the general population. As per the ACR and EULAR recommendations, vaccinations against influenza, COVID-19, pneumococci, and tetanus are recommended for most patients with AIIRD. (2) Objectives: This study aimed to assess vaccination coverage among Polish AIIRD patients and identify factors influencing it. (3) Patients and Methods: This study was conducted at the reference rheumatological center in Poland between May 2023 and October 2023. The study participants completed a questionnaire covering their knowledge of vaccination recommendations, actual vaccination status, factors affecting their decision to vaccinate, and their perspectives on immunization. (4) Results: This study involved 300 AIIRD patients and 60 controls. Both groups exhibited comparably low vaccination rates for all diseases (the highest for COVID-19-52% in both groups and the lowest for pneumococci-7.7% and 10%, respectively). Knowledge about recommended vaccinations was limited among patients in both groups. AIIRD patients were also not aware that they should avoid live vaccines. The primary motivators for vaccination among AIIRD patients were fear of infection (up to 75%) and medical advice (up to 74.6%). Conversely, the predominant reasons for non-vaccination were a lack of knowledge that vaccination is recommended (up to 74.7%) and concerns about potential adverse effects (up to 48.6%). Many patients reported not receiving vaccination recommendations from either primary care physicians or rheumatologists. (5) Conclusions: To enhance vaccination coverage among AIIRD patients in Poland, it is essential to educate them about vaccinations during routine medical consultations, emphasizing the increased risk of infection, informing them about recommended vaccinations, and clarifying doubts about adverse effects.

Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning

ObjectiveRheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rheumatic diseases that negatively affect activities of daily living and can lead to structural and functional disability, reduced quality of life. Here, this study utilized Fourier transform infrared (FTIR) spectroscopy on dried serum samples and achieved early diagnosis of rheumatoid arthritis and ankylosing spondylitis based on deep learning models. MethodA total of 243 dried serum samples were collected in this study, including 81 samples each from ankylosing spondylitis, rheumatoid arthritis, and healthy controls. Three multi-scale convolutional modules with different specifications were designed based on the multi-scale convolutional neural network (MSCNN) to effectively fuse the local features to enhance the generalization ability of the model. The FTIR was then combined with the MSCNN model to achieve a non-invasive, fast, and accurate diagnosis of ankylosing spondylitis, rheumatoid arthritis, and healthy controls. ResultsSpectral analysis shows that the curves and waveforms of the three spectral graphs are similar. The main differences are distributed in the spectral regions of 3300–3250 cm−1, 3000–2800 cm−1, 1750–1500 cm−1, and 1500–1300 cm−1, which represent: Amides, fatty acids, cholesterol, proteins with a carboxyl group, amide II, free amino acids, and polysaccharides. Four classification models, namely artificial neural network (ANN), convolutional neural network (CNN), improved AlexNet model, and multi-scale convolutional neural network (MSCNN) were established. Through comparison, it was found that the diagnostic AUC value of the MSCNN model was 0.99, and the accuracy rate was as high as 0.93, which was much higher than the other three models. ConclusionThe study demonstrated the superiority of MSCNN in distinguishing ankylosing spondylitis from rheumatoid arthritis and healthy controls. FTIR may become a rapid, sensitive, and non-invasive means of diagnosing rheumatism.

COVID-19 infection and efficacy of vaccination in patients with rheumatic diseases during Omicron outbreak in South Korea: a prospective cohort study

ObjectivesThis study aims to investigate COVID-19 epidemiological data in patients with autoimmune inflammatory rheumatic diseases (AIRDs) during Omicron wave and to identify clinical factors associated with infection, including COVID-19 vaccination.MethodsThis...