Immune Rheumatic Diseases Research Articles

Development and Validation of a Prediction Model for Dysphagia in Community-Dwelling Older Adults.

Objectives. Dysphagia is a geriatric syndrome, which may lead to complications such as dehydration, malnutrition, aspiration, pneumonia, and a significant reduction in quality of life. The purpose of this study was to construct and validate a prediction model for dysphagia in community-dwelling older adults and provide an assessment tool for the prevention and control of dysphagia. Design. Cross-sectional study. Setting. The community-dwelling Chinese older adults. Participants. 3655 participants aged 65 years and older were involved, who were randomly divided into the training set and the validation set. Methods. Data were collected and analyzed from June 2022 to September 2022. Univariate and multivariate logistic regression analysis were used to identify independent risk factors for dysphagia. We applied R software to develop a nomogram model to predict dysphagia in community-dwelling older adults. The predictive value of the model was assessed by the area under the ROC curve (AUC), the calibration curve was used to evaluate the reliability of the nomogram model for predicting dysphagia in community-dwelling older adults. The model's clinical utility was further evaluated using a Decision Curve Analysis (DCA). Results. The incidence of dysphagia was 11.8% (320/3655). Maximum tongue pressure, number of molars, pneumonia, ADL, sarcopenia, age, neurological diseases, and rheumatic immune diseases were selected as risk predictors for dysphagia. The prediction model demonstrated fair discriminative ability with the AUC was 0.709 (95%CI: 0.679-0.739) in the training set and 0.693 (95%Cl: 0.640-0.747) in the validation set, the calibration is adequate, and the Hosmer and Lemeshow test showed p values of 0.163 and 0.415, respectively. The DCA curve of our model shows a positive clinical net benefit. Conclusions. The prediction model established in this study was of a certain predictive value for the risk of dysphagia in community-dwelling older adults. By estimating the likelihood of future outcomes or the onset of certain diseases, it can assist medical personnel in formulating preventive strategies, lessening the workload of nurses, and also diminishing the financial burden on patients, thereby enhancing their overall quality of life.

Clinical characteristics and risk factors associated with diverse manifestations of COVID-19 in patients aged 85 years and older.

The goal of this study is to assess the clinical attributes exhibited by patients aged 85 years and older who present different manifestations of COVID-19, and to examine the factors influencing the classification of the disease severity. This retrospective study was conducted at a single center, encompassing an analysis of clinical data obtained from patients with COVID-19 admitted to a general geriatric hospital in Hangzhou, Zhejiang, China, during the period from December 20, 2022, to February 1, 2023. The study focused on 91 eligible patients whose disease severity was compared based on the imaging findings. A total of 91 patients aged 85 years and older, with a median age of 92, including 46 males, 10 exhibiting mild symptoms, 48 moderate cases, and 33 severe cases met the inclusion criteria. Notably, disease severity displayed a significant correlation with age (p < 0.011). All patients presented with complicated chronic underlying conditions and a history of prolonged medication use. Rheumatic immune diseases (p = 0.040) and endocrine medications, primarily hypoglycemic agents (p = 0.034), exhibited statistical significance. Additionally, markers such as lactate dehydrogenase (LDH) (p = 0.030), interleukin 6 (IL-6) (p = 0.014), and D-dimer (p = 0.007) revealed significant associations with disease severity. Chest computed tomography scans predominantly revealed inflammatory features (n = 81, 89.0%). Notably, patients classified as having mild or moderate conditions exhibited eventual improvement, while 13 patients (39.4%) among the severe cases succumbed to the disease. The classification of disease among patients aged 85 years or older old is correlated with advanced age, concurrent rheumatic immune diseases, and prolonged administration of endocrine medications. Furthermore, patients with elevated levels of LDH, IL-6, and D-dimer demonstrated a higher propensity for developing severe diseases.

Clinical value of Tc-99m MDP SPECT/CT bone imaging for early diagnosis of Relapsing Polychondritis: a report of 5 cases

BackgroundRelapsing Polychondritis(RP) is a rare rheumatic immune disease. As with most diseases, if intervention is delayed, the patient’s prognosis is worse. Currently, the diagnostic criteria used in clinical practice do not include CT, PET/CT, SPECT/CT and other new imaging examinations that have developed rapidly in recent years. However, these examinations have some special manifestations for RP, which can help clinicians diagnose RP earlier and distinguish it from other diseases.Case presentationThese five RP patients all had respiratory symptoms such as cough and wheezing as the first symptom, which could not be diagnosed in time according to the previous diagnostic criteria. The clinical data of the five patients are listed in Table 1. The relatively specific manifestations of SPECT/CT examination provided clinicians with very valuable clues to help them advance the diagnosis time.ConclusionsThe application of SPECT/CT bone imaging in early diagnosing RP proves to be effective, enabling clinicians to intervene promptly and enhance the overall well-being and quality of life for individuals affected by this condition.

Research progress on Hippo signaling pathway effector molecules in rheumatic immune system diseases.

The core components of the Hippo signaling pathway encompass upstream regulatory molecules, core kinase cascade complexes, and downstream transcriptional regulation complexes. This pathway modulates cellular behaviors by influencing the effector molecules of its core components and plays a pivotal role in immune regulation. Effector molecules,such as Yes-associated protein (YAP), transcriptional coactivator with PDZ-binding motif (TAZ), transcriptional enhanced associate domain transcriptional factor (TEAD), monopolar spindle-one binder (MOB1), large tumor suppressor (LATS), can stimulate fibroblast-like synovial cell migration and invasion in rheumatoid arthritis, regulate osteoarthritis disease progression, promote pathological new bone formation in ankylosing spondylitis, sustain submandibular gland development while delaying Sjogren's syndrome progression, mediate alpha-smooth muscle actin in systemic sclerosis, and refine the regulation of target genes associated with pulmonary fibrosis. This article provides an overview of the regulatory mechanisms involving Hippo signaling pathway-related effector molecules in the pathogenesis and progression of rheumatic immune system diseases, to serve as a reference for exploring novel therapeutic targets of rheumatic immune system diseases.

Research progress of SREBP and its role in the pathogenesis of autoimmune rheumatic diseases.

Autoimmune rheumatic diseases comprise a group of immune-related disorders characterized by non-organ-specific inflammation. These diseases include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), ankylosing spondylitis (AS), gout, among others. Typically involving the hematologic system, these diseases may also affect multiple organs and systems. The pathogenesis of autoimmune rheumatic immune diseases is complex, with diverse etiologies, all associated with immune dysfunction. The current treatment options for this type of disease are relatively limited and come with certain side effects. Therefore, the urgent challenge remains to identify novel therapeutic targets for these diseases. Sterol regulatory element-binding proteins (SREBPs) are basic helix-loop-helix-leucine zipper transcription factors that regulate the expression of genes involved in lipid and cholesterol biosynthesis. The expression and transcriptional activity of SREBPs can be modulated by extracellular stimuli such as polyunsaturated fatty acids, amino acids, glucose, and energy pathways including AKT-mTORC and AMP-activated protein kinase (AMPK). Studies have shown that SREBPs play roles in regulating lipid metabolism, cytokine production, inflammation, and the proliferation of germinal center B (GCB) cells. These functions are significant in the pathogenesis of rheumatic and immune diseases (Graphical abstract). Therefore, this paper reviews the potential mechanisms of SREBPs in the development of SLE, RA, and gout, based on an exploration of their functions.

Identification and functional prediction of long non-coding RNA and mRNA related to connective tissue disease-associated interstitial lung diseases.

Recently, the role of long non-coding RNA (lncRNA) in rheumatic immune diseases has attracted widespread attention. However, knowledge of lncRNA in connective tissue disease-associated interstitial lung disease (CTD-ILD) is limited. This study explored the expression profile and possible mechanisms of lncRNA and mRNA in peripheral blood mononuclear cells (PBMCs) of CTD-ILD patients, especially systemic sclerosis (SSc)-ILD and rheumatoid arthritis (RA)-ILD. LncRNA microarray analysis identified 240 diferentially expressed lncRNAs and 218 diferentially expressed mRNA in the CTD-ILD group and the connective tissue disease without associated interstitial lung disease (CTD-NILD) group. The bioinformatics analysis of diferential genes has identified several important biological processes and signal pathways, including nuclear factor kappa B (NF-kappa B) signaling pathway, interleukin 17 (IL-17) signaling pathway, B cell receptor signaling pathway. Relative expression levels of five diferentially expressed lncRNAs and one mRNA in 120 SSc and RA patients with or without ILD were detected by quantitative reverse-transcription (PCR). The ENST00000604692 expression level was significantly higher in the ILD than the without interstitial lung disease (NILD) group; T311354 and arginase-1 were significantly higher in SSc than RA group. These data suggest that the specific profile of lncRNA in PBMCs of CTD-ILD patients and the potential signal pathways related to the pathogenesis of CTD-ILD, which may provide newfound insights for the diagnosis and treatment of CTD-ILD patients.

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common characteristics. If left untreated, they can lead to joint destruction and functional limitation, and in severe cases, they can cause lifelong disability and even death. Studies have shown that early diagnosis and treatment are key to improving patient outcomes. Therefore, a rapid and accurate method for rapid diagnosis of diseases has been established, which is of great clinical significance for realizing early diagnosis of diseases and improving patient prognosis. This study was based on Fourier transform infrared spectroscopy (FTIR) combined with a deep learning model to achieve non-invasive, rapid, and accurate differentiation of AS, RA, OA, and healthy control group. In the experiment, 320 serum samples were collected, 80 in each group. AlexNet, ResNet, MSCNN, and MSResNet diagnostic models were established by using a machine learning algorithm. The range of spectral wave number measured by four sets of Fourier transform infrared spectroscopy is 700-4000 cm-1. Serum spectral characteristic peaks were mainly at 1641 cm-1(amide I), 1542 cm-1(amide II), 3280 cm-1(amide A), 1420 cm-1(proline and tryptophan), 1245 cm-1(amide III), 1078 cm-1(carbohydrate region). And 2940 cm-1 (mainly fatty acids and cholesterol). At the same time, AlexNet, ResNet, MSCNN, and MSResNet diagnostic models are established by using machine learning algorithms. The multi-scale MSResNet classification model combined with residual blocks can use convolution modules of different scales to extract different scale features and use resblocks to solve the problem of network degradation, reduce the interference of spectral measurement noise, and enhance the generalization ability of the network model. By comparing the experimental results of the other three models AlexNet, ResNet, and MSCNN, it is found that the MSResNet model has the best diagnostic performance and the accuracy rate is 0.87. The results prove the feasibility of serum Fourier transform infrared spectroscopy combined with a deep learning algorithm to distinguish AS, RA, OA, and healthy control group, which can be used as an effective auxiliary diagnostic method for these rheumatic immune diseases.

Triptolide alleviates the development of inflammation in ankylosing spondylitis via the NONHSAT227927.1/JAK2/STAT3 pathway.

Ankylosing spondylitis (AS) is a chronic inflammatory disease that can destroy the affected joints. Triptolide (TPL), a key active ingredient of the traditional Chinese medicine Tripterygium wilfordii exhibits promising efficacy in rheumatic immune disease with its anti-inflammatory effects. The present study aimed to elucidate the mechanism of TPL in treatment of AS by regulating the long non-coding RNA (lncRNA) NONHSAT227927.1. The role and underlying mechanisms of TPL in the development of inflammation in AS were assessed. In vivo, the expression of NONHSAT227927.1 in AS was detected by reverse transcription-quantitative (RT-q)PCR. Correlation analysis and binary logistic regression were performed between immune and inflammatory indicators, perception scale scores of patients and NONHSAT227927.1. In vitro, Cell Counting Kit-8 was used to evaluate the activity of AS-fibroblast-like synoviocytes (FLSs) following TPL exposure. AS-FLS inflammation was assessed by qPCR and ELISA. The interaction between TPL and JAK2 and STAT3 was verified by molecular docking and the JAK2/STAT3 pathway components were detected by western blotting. NONHSAT227927.1 was knocked down by small interfering RNA to determine its role. NONHSAT227927.1 was highly expressed in vivo and positively correlated with disease duration, disease duration, Body mass index (BMI), C-reactive protein (CRP), Visual analog scale (VAS), Visual analog scale (VAS), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Bath Ankylosing Spondylitis Metrology Index, among which ESR and VAS and BASDAI score were risk factors for NONHSAT227927.1. TPL downregulated pro-inflammatory factors in AS-FLSs and inhibited the JAK2/STAT3 pathway via NONHSAT227927.1. TPL inhibited inflammatory factors in AS-FLSs and alleviated inflammatory responses via the NONHSAT227927.1/JAK2/STAT3 axis.

Gas Chromatography-Mass Spectrometry Reveals Stage-Specific Metabolic Signatures of Ankylosing Spondylitis.

Ankylosing spondylitis (AS) is a type of chronic rheumatic immune disease, and the crucial point of AS treatment is identifying the correct stage of the disease. However, there is a lack of effective diagnostic methods for AS staging. The primary objective of this study was to perform an untargeted metabolomic approach in AS patients in an effort to reveal metabolic differences between patients in remission and acute stages. Serum samples from 40 controls and 57 AS patients were analyzed via gas chromatography-mass spectrometry (GC-MS). Twenty-four kinds of differential metabolites were identified between the healthy controls and AS patients, mainly involving valine/leucine/isoleucine biosynthesis and degradation, phenylalanine/tyrosine/tryptophan biosynthesis, glutathione metabolism, etc. Furthermore, the levels of fatty acids (linoleate, dodecanoate, hexadecanoate, and octadecanoate), amino acids (serine and pyroglutamate), 2-hydroxybutanoate, glucose, etc., were lower in patients in the acute stage than those in the remission stage, which may be associated with the aggravated inflammatory response and elevated oxidative stress in the acute stage. Multiple stage-specific metabolites were significantly correlated with inflammatory indicators (CRP and ESR). In addition, the combination of serum 2-hydroxybutanoate and hexadecanoate plays a significant role in the diagnosis of AS stages. These metabolomics-based findings provide new perspectives for AS staging, treatment, and pathogenesis studies.

Clinical features and prognosis of 118 children with histiocytic necrotizing lymphadenitis

Objective: To explore the clinical features and prognosis of children with histiocytic necrotizing lymphadenitis (HNL). Methods: The clinical data of 118 children with HNL diagnosed and treated in the Department of Rheumatology and Immunology of Children's Hospital, Capital Institute of Pediatrics from January 2014 to December 2021 were retrospectively analyzed. The clinical symptoms, laboratory examination, imaging examination, pathological findings, treatment and follow-up were analyzed. Results: Among the 118 patients, 69 were males and 49 were females. The age of onset was 10.0 (8.0, 12.0) years, ranging from 1.5 to 16.0 years. All the children had fever lymph node enlargement, blood system involvement in 74 cases (62.7%), skin injury in 39 cases (33.1%). The main manifestations of laboratory examination were increased erythrocyte sedimentation rate in 90 cases (76.3%), decreased hemoglobin in 58 cases (49.2%), decreased white blood cells in 54 cases (45.8%) and positive antinuclear antibody in 35 cases (29.7%). Ninety-seven cases (82.2%) underwent B-mode ultrasound of lymph nodes, showing nodular lesions with low echo in the neck; 22 cases (18.6%) underwent cervical X-ray and (or) CT; 7 cases (5.9%) underwent cervical magnetic resonance imaging. Lymph node biopsy was performed in all 118 cases, and the pathological results did not support malignant diseases such as lymphoma or Epstein-Barr virus infection, suggesting HNL. Fifty-seven cases (48.3%) recovered without treatment, 61 cases (51.7%) received oral steroid therapy, and 4 cases (3.4%) received indomethacin as anal stopper. The 118 cases were followed up for 4 (2, 6) years, ranging from 1 to 7 years, 87 cases (73.7%) had one onset and did not develop into other rheumatological diseases, and 24 cases (20.3%) had different degrees of recurrence, 7 cases (5.9%) had multiple system injuries, and all of the tested autoantibodies were positive for medium and high titers. All of them developed into other rheumatic immune diseases, among which 5 cases developed into systemic lupus erythematosus and 2 cases developed into Sjogren's syndrome; 7 cases were given oral steroid therapy, including 6 cases plus immunosuppressant and 2 cases receiving methylprednisolone 20 mg/kg shock therapy. Conclusions: The first-onset HNL portion is self-healing, hormone-sensitive and has a good prognosis. For HNL with repeated disease and multiple system injury, antinuclear antibody titer should be monitored during follow-up, and attention should be paid to the possibility of developing into other rheumatological diseases, with poor prognosis.

Biomaterial-based gene therapy.

Gene therapy, a medical approach that involves the correction or replacement of defective and abnormal genes, plays an essential role in the treatment of complex and refractory diseases, such as hereditary diseases, cancer, and rheumatic immune diseases. Nucleic acids alone do not easily enter the target cells due to their easy degradation in vivo and the structure of the target cell membranes. The introduction of genes into biological cells is often dependent on gene delivery vectors, such as adenoviral vectors, which are commonly used in gene therapy. However, traditional viral vectors have strong immunogenicity while also presenting a potential infection risk. Recently, biomaterials have attracted attention for use as efficient gene delivery vehicles, because they can avoid the drawbacks associated with viral vectors. Biomaterials can improve the biological stability of nucleic acids and the efficiency of intracellular gene delivery. This review is focused on biomaterial-based delivery systems in gene therapy and disease treatment. Herein, we review the recent developments and modalities of gene therapy. Additionally, we discuss nucleic acid delivery strategies, with a focus on biomaterial-based gene delivery systems. Furthermore, the current applications of biomaterial-based gene therapy are summarized.

A Short Review of Coronary Artery Lesions in Children

Coronary artery lesions (CAL) are not uncommon in pediatrics, but their causesare complex， such as congenital coronary artery disease, atherosclerosis, infectious diseases, and rheumatic immune diseases, which can lead to CAL. This review provides a systematic evaluation of the published medical literature on potential etiologies and associated pathogenesis that may lead to CAL in children, in order to broaden clinical diagnosis and avoid misdiagnosis and underdiagnosis. The main pathogenesis of CAL is an innate immunity imbalance due to exposure of genetically susceptible people to various infections and/or environmental factors. Kawasaki disease is not the only cause of CAL, and pediatricians need to better understand the immunological mechanisms of the CAL to suspect and diagnose.In addition, attach great importance to rheumatic immune diseases and cardiovascular diseases secondary to CAL.

Effect of combining sST2/HDL-C ratio with risk factors of coronary heart disease on the detection of angina pectoris in Chinese: a retrospective observational study.

Soluble suppression of tumorigenicity 2 (sST2), a member of the interleukin-1 receptor family, binds IL-33, preventing its interaction with membrane-bound form ST2 (ST2L), thereby blocking its protection against atherosclerosis. High-density lipoprotein cholesterol (HDL-C), a variety of lipoproteins with mean size of 8-10 nm and density of 1.063-1.21 g/mL, not only acts as lipid transporters that transport cholesterol reversely, but also carries a variety of proteins and microRNAs endowing it with the ability to prevent cardiovascular disease. Most studies on the relationship between sST2 and coronary heart disease (CHD) are limited to acute myocardial infarction (AMI). The present study set out to investigate the association between the sST2/HDL-C ratio and angina pectoris. A retrospective single-center cohort study was conducted and a total of 250 patients with chest pain that formed a convenience series, hospitalized between January 2018 and August 2020, were enrolled. Patients with AMI, acute and chronic heart failure, structural heart disease, renal insufficiency [estimate glomerular filtration rate (eGFR) <60 mL/min/1.73 m2], rheumatic immune diseases, malignant tumors and severe infections were excluded. Patients with missing data were also excluded. Two hundred and nine patients were finally enrolled. Levels of sST2, HDL-C and sST2/HDL-C ratio were measured and calculated after admission. The angina pectoris was diagnosed by combining clinical features, coronary angiography results and cardiac troponin I levels. The diagnosis value of sST2/HDL-C on angina pectoris was analyzed by binary logistic analysis and the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) assesses. Patients with stable angina pectoris (SAP) or unstable angina pectoris (UAP) accounted for a larger proportion (28.8% vs. 42.9%, P=0.035) in patients with the higher sST2/HDL-C ratio. Binary logistics regression showed that for every unit of sST2/HDL-C increase, the risk of angina pectoris increased by 38.8% (OR =1.388, P=0.018). By subgroup analysis, a stronger association was found in non-diabetic patients (OR =1.551, P=0.006), non-hypertension patients (OR =1.700, P=0.025), non-smokers (OR =1.527, P=0.049) and patients aged <65 y (OR =1.693, P=0.019). ROC curve showed that AUC was higher [0.643 (0.566, 0.719) vs. 0.618 (0.540, 0.696)] and the sensitivity of diagnosis increased significantly (84.0% vs. 49.3%) by combining sST2/HDL-C with risk factors of CHD. A higher ratio of sST2/HDL-C was associated with an increased risk of angina pectoris. sST2/HDL-C combined with CHD risk factors showed increased diagnostic value in identifying angina pectoris. Clinical trial: ChiCTR-DDD-17013908.

Endothelial-to-Mesenchymal Transition: Potential Target of Doxorubicin-Induced Cardiotoxicity.

The use of chemotherapeutic agents is becoming more frequent as the proportion of new oncology patients increases worldwide, with prolonged survival after treatment. As one of the most popular chemotherapy drugs, doxorubicin plays a substantial role in the treatment of tumors. Unfortunately, the use of doxorubicin is associated with several adverse effects, particularly severe cardiotoxicity that can be life-threatening, which greatly limits its clinical use. For decades, scientists have tried to explore many cardioprotective agents and therapeutic approaches, but their efficacy remains controversial, and some drugs have even brought about significant adverse effects. The concrete molecular mechanism of doxorubicin-induced cardiotoxicity is still to be unraveled, yet endothelial damage is gradually being identified as an important mechanism triggering the development and progression of doxorubicin-induced cardiotoxicity. Endothelial-to-mesenchymal transition (EndMT), a fundamental process regulating morphogenesis in multicellular organisms, is recognized to be associated with endothelial damage repair and acts as an important factor in the progression of cardiovascular diseases, tumors, and rheumatic immune diseases. Mounting evidence suggests that endothelial-mesenchymal transition may play a non-negligible role in doxorubicin-induced cardiotoxicity. In this paper, we reviewed the molecular mechanisms and signaling pathways of EndMT and outlined the molecular mechanisms of doxorubicin-induced cardiotoxicity and the current therapeutic advances. Furthermore, we summarized the basic principles of doxorubicin-induced endothelial-mesenchymal transition that lead to endothelial dysfunction and cardiotoxicity, aiming to provide suggestions or new ideas for the prevention and treatment of doxorubicin-induced endothelial and cardiac injury.

It is time to improve the acceptance of COVID-19 vaccines among people with chronic diseases: A systematic review and meta-analysis.

This study aims to investigated COVID-19 vaccine acceptance among people with chronic diseases and the factors correlating with their vaccination hesitancy. The articles were searched in PubMed, Ovid, EMBASE, and web of science databases between December 2019 and October 2022. Cross-sectional studies, including the acceptance of the COVID-19 vaccine by patients with chronic diseases (≥18 years old), were included in this study. The outcomes included the proportion and 95% confidence interval (95% CI) of chronic disease patients willing to be vaccinated and the odds ratio (OR) and 95% CI of correlating factors. The source of heterogeneity was analyzed through meta-regression and subgroup analysis. We included 31 studies involving 57 875 patients with chronic disease. The overall COVID-19 vaccine acceptance among patients with chronic disease was 0.65 (95% CI, 0.59-0.72). The acceptance among the elderly patients was 0.53 (95% CI, 0.26-0.80). South America had the highest COVID-19 vaccine acceptance rate and Asia the lowest, while on a country level, the United Kingdom had the highest acceptance rate among patients with chronic diseases. People with rheumatic immune diseases had the lowest rate of COVID-19 vaccine acceptance. Concerns about vaccine safety had a statistically different effect on acceptance. Overall, the health systems ought to focus on educating specific groups of individuals on the benefits of COVID-19 vaccination and addressing safety concerns.

Retracted: Application of Machine Learning in Rheumatic Immune Diseases.

[This retracts the article DOI: 10.1155/2022/9273641.].

风湿免疫性疾病患者接种COVID-19疫苗安全性的研究

风湿免疫性疾病患者接种COVID-19疫苗安全性的研究

Application of Clinical Nursing Pathway in the Peri-Treatment Period of Immunoadsorption Therapy for Rheumatic Immune Diseases

Application of Clinical Nursing Pathway in the Peri-Treatment Period of Immunoadsorption Therapy for Rheumatic Immune Diseases

Roles of IgG4 and IgG4/IgG ratio to IgG4-related disease in patients with elevated serum IgG4 level.

To evaluate the performance of elevated serum IgG4 and IgG4/IgG in IgG4-related disease (IgG4-RD) and other diseases. Seven hundred seventy-three patients with elevated serum IgG4 level (> 2.01g/L) were reviewed in Zhongda Hospital of Southeast University from 1 July 2016 to 31 December 2021. Demographic, disease distribution and the role of elevated serum IgG4 and IgG4/IgG in IgG4-RD and other diseases were analysed. The alteration of IgG4 and IgG4/IgG in pre-therapy and post-treatment were also assessed in IgG4-RD. Patients with elevated serum IgG4 were principally observed in older males. Chronic diseases of various organs (21.7%), rheumatic immune diseases (19.4%), bacterial infection disease (11.5%) and malignant tumor (5.2%) were the common diseases with elevated serum IgG4, but only 3.2% was IgG4-RD. The level of IgG4 and IgG4/IgG in IgG4-RD was significantly higher than that in various diseases except for eosinophilia group. Serum IgG4 and IgG4/IgG manifested a similar diagnostic capacity for IgG4-RD among this study cohort and the optimal cut-off values were 3.345g/L and 0.295 respectively. The sensitivity and specificity were 96% and 71% for the optimal cut-off value of IgG4, and 80% and 88.8% for the optimal cut-off value of IgG4/IgG4. IgG4 and IgG4/IgG both were remarkably reduced in IgG4-RD after therapy compared with prior treatment (P < 0.05). Elevated serum IgG4 was found in a variety of diseases, especially in chronic diseases of various organs. IgG4 and IgG4/IgG manifest a great value for IgG4-RD diagnosis, and are available for the treatment evaluation of IgG4-RD. Key Points • Elevated serum IgG4 level was not a specific marker to IgG4-related disease and can be observed in various diseases. • Patients with IgG4-related disease or eosinophilia manifest a higher level of serum IgG4 and IgG4/IgG. • Both of IgG4 and IgG4/IgG are available for the diagnosis and the clinical treatment evaluation of IgG4-related disease.

Effect of Individualized Pain Nursing on Pain Degree of Patients with Rheumatic Immune Diseases

Effect of Individualized Pain Nursing on Pain Degree of Patients with Rheumatic Immune Diseases