Juvenile idiopathic arthritis(JIA)is the most prevalent joint disease in childhood.The disease is defined as arthritis of unknown etiology,involving one or more joints,with onset before the age of 16 years and symptomatic duration of more than 6 weeks.Temporomandibular joint(TMJ)arthritis is a common manifestation of JIA,but it often develops insidiously.Failing to diag-nose and treat it promptly may lead to maxillofacial dysfunction and dentofacial deformity,and negatively affect the patient's quality of life.Therefore,early diagnosis and disease management of TMJ arthritis are crucial.This article reviews the occurrence of JIA-TMJ arthritis and its progress in clinical diagnosis and disease treatment in recent years,aiming to provide some reference for den-tists in the clinical diagnosis and treatment of JIA.

This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*

Listeria brainstem encephalitis with myelitis is extremely rare in clinical practice.Since the clinical manifestations are non-specific,MRI is helpful for diagnosis.Positive cerebrospinal fluid culture is considered the gold standard for diagnosis.This article reports a case of an immunocompetent individual with listeria brainstem encephalitis with myelitis,aiming to enhance the awareness of this condition.
Humans ; Brain Stem/pathology* ; Diagnostic Errors ; Encephalitis/complications* ; Encephalomyelitis, Acute Disseminated/diagnosis* ; Listeriosis/complications* ; Myelitis/complications*

Juvenile idiopathic arthritis(JIA)is the most prevalent joint disease in childhood.The disease is defined as arthritis of unknown etiology,involving one or more joints,with onset before the age of 16 years and symptomatic duration of more than 6 weeks.Temporomandibular joint(TMJ)arthritis is a common manifestation of JIA,but it often develops insidiously.Failing to diag-nose and treat it promptly may lead to maxillofacial dysfunction and dentofacial deformity,and negatively affect the patient's quality of life.Therefore,early diagnosis and disease management of TMJ arthritis are crucial.This article reviews the occurrence of JIA-TMJ arthritis and its progress in clinical diagnosis and disease treatment in recent years,aiming to provide some reference for den-tists in the clinical diagnosis and treatment of JIA.

Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

Objective To explore the effect of rituximab on cellular immunity and cytokines in children with new-onset steroid-sensitive nephrotic syndrome(SSNS).Methods Clinical data of 60 children with new-onset SSNS treated at Xuzhou Children's Hospital from December 2021 to March 2023 were retrospectively analyzed.Children were allocated according to rituximab use into a control group(no rituximab)and an observation group(rituximab).The relapse rate,T-lymphocyte subsets and cytokines before and after treatment,and the incidence of adverse reactions were compared between groups.Results The relapse rate was lower in the observation group than in the control group(27%vs 73%,P<0.05).After treatment,CD3+and CD4+T-lymphocyte counts,the CD4+/CD8+ratio,and serum interleukin-2 increased in the observation group and were higher than in the control group(P<0.05).Interleukin-6 and tumor necrosis factor-α levels decreased after treatment in the observation group and were lower than in the control group(P<0.05).After treatment,CD8+T-lymphocyte counts decreased,interferon-γ increased,and interleukin-10 decreased in both groups,with no significant differences between the two groups(P>0.05).The incidence of adverse reactions did not differ significantly between the two groups(P>0.05).Conclusions Rituximab can reduce the relapse rate in children with new-onset nephrotic syndrome and shows good safety.Its therapeutic effect is achieved by regulating the number and function of T cells and by modulating the anti-inflammatory effects of cytokines.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

Objective:To understand the prevalence, blood pressure control, and influencing factors of hypertension in residents aged 35-75 years in Jiangsu Province, and provide data support and basis for hypertension prevention and treatment.Methods:A stratified cluster sampling method was adopted to conduct community population surveys in 22 districts and counties in 12 prefectures in Jiangsu from 2021 to 2022. A total of 123 531 permanent residents aged 35-75 years were included in the study. The questionnaire survey collected the information about the demographic characteristics, disease history, lifestyle, and control of hypertension of study subjects. Statistical software SPSS 23.0 was used for χ2 test and multivariate logistic regression analysis, and Joinpoint 4.9.1.0 software was used to evaluate the trend of age change. Results:The standardized prevalence of hypertension in study subjects was 46.60%, the prevalence was higher in men than in women, and in rural residents than in urban residents, and the standardized blood pressure control rate was 11.24%, and it was lower in men than in women and in rural residents than in urban residents. The hypertension prevalence and control rates showed increasing trends with age (both P<0.001). The multivariate analysis results showed that being man, older age, being rural resident, higher frequency of alcohol consumption, marital status of being separated and widowed, overweight and obese, abdominal obesity and stroke, diabetes mellitus and dyslipidaemic diseases histories, and family history of hypertension were risk factors for hypertension, and being man, being rural resident, living north area, higher frequency of alcohol consumption, and obesity were risk factors for blood pressure control. Conclusions:The prevalence of hypertension in residents aged 35-75 years in Jiangsu was high, and the rate of blood pressure control was low. It is suggested to take integrated intervention measures, especially in in rural residents and people with low levels of education to reduce the disease burden of the patients.