The connotation of the "four-dimensional pivot-earth" qi transformation mode is a dialectical system of the ascending and descending of yin-yang qi movement， which presented as "the middle Jiao showing earth qi mediating， the left wheel showing water and wood ascending， and the right wheel showing fire and metal converting and descending". Based on this dialectical thinking， it is believed that the core pathogenesis of myasthenia gravis is deficiency of center qi and transportation failure to pivot-earth； the middle-stage characteristics of the disease progression are the loss of mediation of the central qi， resulting in water coldness and wood constraint， and clear yang failing to ascend； the final outcome of this disease is the loss of astringeing of lung metal and qi sinking. The treatment should be based on the rule of qi movement， so for the start-stage， Buzhong Yiqi Decoction （补中益气汤） should be used as the basis to nourish the earth and consolidate the root， and restrengthen the middle qi； for the middle-stage， herbs like Yingyanghuo （Epimedium brevicornu Maxim.）， Bajitian （Morinda officinalis How） could be combined to warm the water and soothe the wood， raise yang and boost qi； for the final stage， plus Sini Decoction （四逆汤） to astringe metal to stop collapse， and powerfully supplement original qi. All these medicinals can promote pivot-earth re-transportation， four-dimensional transformation， and regular circulation of qi movement， so as to provide thoughts for improving the clinical effectiveness of myasthenia gravis.

ObjectiveTo classify subtypes among middle-aged and elderly type 2 diabetes mellitus (T2DM) patients aged between 35‒74 years in Shanghai suburbs, to compare their characteristics and analyze incidence risk for cerebrovascular disease among these subtypes, so as to promote personalized and precise treatment of T2DM. MethodsA total of 7 792 patients with T2DM who completed a baseline survey from 2016 and 2019 were selected as the research subjects, based on the data from a natural population cohort and biobank in Shanghai suburbs. Patients were stratified by gender and clustered into subtypes using k-means method based on baseline parameters including the age at T2DM diagnosis, body mass index (BMI), fasting blood glucose, and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C). Patients were followed up until March 31, 2023. Multivariate Cox regression models were used to analyze the association between subtypes and incidence risk for cerebrovascular disease, and those with cerebrovascular disease within 1 year of follow-up survey were excluded from sensitivity analysis. ResultsAmong the 7 792 patients with T2DM, 3 615 were males and 4 177 were females. Stratified by gender, 4 subgroups were identified through k-means clustering analysis, namely poor blood glucose control subgroup, severe insulin-resistant subgroup, younger onset subgroup, and older onset subgroup. The median follow-up time was 4.30 years, during which 1 960 cerebrovascular disease events were observed (844 in males, 1 116 in females). After adjusting for smoking, alcohol consumption, weekly exercise, family history of diabetes mellitus, and duration of diabetes mellitus, among male patients, the incidence risk for cerebrovascular disease was lower in the younger onset subgroup (HR=0.59, 95%CI: 0.48‒0.73, P<0.001), poor blood glucose control subgroup (HR=0.81, 95%CI: 0.65‒1.00, P=0.046), and severe insulin-resistant subgroup (HR=0.61, 95%CI: 0.50‒0.75, P<0.001), compared to the older onset subgroup. While among female patients, the incidence risk for cerebrovascular disease was also lower in the younger onset subgroup (HR=0.68, 95%CI: 0.57‒0.80, P<0.001), poor blood glucose control subgroup (HR=0.73, 95%CI: 0.60‒0.89, P=0.002), and severe insulin-resistant subgroup (HR=0.72, 95%CI: 0.61‒0.85, P<0.001), compared to the older onset subgroup. Results of the sensitivity analysis were consistent with the main findings. ConclusionAmong middle-aged and elderly T2DM patients in suburban Shanghai, both male and female patients have the highest incidence risk for cerebrovascular disease in the older onset subgroup. Subtyping of T2DM patients can help to identify the high-risk populations of cerebrovascular disease.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective To analyze the distribution characteristics and application value of liver,renal func-tion indexes and autoantibody-related indexes of neuromyelitis optica spectrum disorder(NMOSD).Methods The liver,renal function and autoantibody-related indexes data of patients diagnosed with NMOSD and multiple sclerosis(MS)in Beijing Tiantan Hospita,Capital Medical University from June 2015 to June 2023,as well as gender and age-matched controls underwent routine physical examination were retrospectively collected.A total of 95 patients with NMOSD(NMOSD group),230 patients with MS(MS group),and 244 healthy controls(routine physical examination group)were selected to evaluate the diagnostic value of each index for NMOSD.Results Compared with MS group,the levels of alanine aminotransferase,as well as the positive rates of α-hydroxybutyrate dehydrogenase,y-glutamyltransferase,anti-SS-A antibody,anti-SS-B anti-body,anti-ribosomal P protein antibody and Ro-52 antibody were significantly increased in NMOSD group,while the levels of albumin,indirect bilirubin and total bilirubin were significantly decreased,and the differ-ences were statistically significant(P＜0.05).The difference index between NMOSD and conventional physi-cal examination group was similar to that of MS group.The seven indexes,a-hydroxybutyrate dehydrogenase,albumin,globulin,direct bilirubin,indirect bilirubin,total bile acid and uric acid alkalinity could be used for the diagnosis of NMOSD.The area under the curve of combined diagnosis of NMOSD was 0.969,and the sensitiv-ity and specificity were 92.6％and 92.9％.Conclusion Multiple indexes of liver and kidney function in NMOSD patients are different from those in MS patients and healthy subjects underwent routine physical ex-amination,and the positive rate of some autoantibody indexes in NMOSD patients is higher than that in MS patients.Liver,renal function and autoantibody-related indexes can be used clinically to assist diagnosis,and the combined application of multiple indexes can further enhance its diagnostic value.

Digestive system malignant tumor is one of the common malignant tumors in humans,and its high morbidity and low survival rate at advanced stages bring heavy disease burden to patients,families and society.However,current tumor screening technologies are not suitable for screening in large-scale populations and long-term follow-up because of the invasiveness or complexity.Thus,liquid biopsy,which based on biomarkers such as circulating tumor DNA,circulating tumor cells,exosomes and other new biomarkers,has broad prospects for development in tumor screening.Exosome,secreted by living cells,is a type of extracellular vesicle with the lipid bilayer.Compared to other biomarkers,exosome has the advantages of high stability,wide distribution,and high quantity.The various proteins carried by exosome can reflect the characteristics of the origin cells,and exosome has important research value for the early diagnosis of tumors.This article reviews the studies of exosomal proteins as biomarkers for early diagnosis of digestive system malignant tumors in the past five years,and summarizes the characteristics and limitations of the above studies,so as to provide reference for promoting the clinical transformation of exosomal proteins.

Objective:To investigate epidemiological characteristics and influencing factors on dust-exposed working years of pneumoconiosis cases in Yantai.Methods:In January 2020, By Cluster sampling way, Using descriptive statistics to analyze dust-exposed working years of the reported 3307 new cases of pneumoconiosis from 2009 to 2019 in Yantai. Analyzing the variation trends by the chi-square trend test. Analyzing single fator by chi-square test. Using multiple classification Logistic Regression analysis to analyze multiple influencing factors.Results:The dust-exposed working age of pneumoconiosis cases decreased by years ( P<0.05) . The starting age of dust exposure of cases increased year by year, while positively correlated with the dust-exposed working age ( r=-0.217, P<0.05) . The years of dust exposure, starting age of dust exposure, industry, type of economy and scale of enterprise were main influence factors on the dust-exposed working age of pneumoconiosis cases. Conclusion:We should strengthen the management on prevention and control condition of pneumoconiosis in metal smelting and processing industry and privately-owned, small and micro enterprises, and pay attention to workers starting exposed to dust in the age of ≥28 years old.

Objective:To investigate epidemiological characteristics and influencing factors on dust-exposed working years of pneumoconiosis cases in Yantai.Methods:In January 2020, By Cluster sampling way, Using descriptive statistics to analyze dust-exposed working years of the reported 3307 new cases of pneumoconiosis from 2009 to 2019 in Yantai. Analyzing the variation trends by the chi-square trend test. Analyzing single fator by chi-square test. Using multiple classification Logistic Regression analysis to analyze multiple influencing factors.Results:The dust-exposed working age of pneumoconiosis cases decreased by years ( P<0.05) . The starting age of dust exposure of cases increased year by year, while positively correlated with the dust-exposed working age ( r=-0.217, P<0.05) . The years of dust exposure, starting age of dust exposure, industry, type of economy and scale of enterprise were main influence factors on the dust-exposed working age of pneumoconiosis cases. Conclusion:We should strengthen the management on prevention and control condition of pneumoconiosis in metal smelting and processing industry and privately-owned, small and micro enterprises, and pay attention to workers starting exposed to dust in the age of ≥28 years old.

Objective: To understand influencing factors on workers' personal protective equipment (PPE) usage, and provide a basis for standardizing the PPE use in the city. Methods: The basic information of workers exposed to occupational hazards in a municipal area was imported into SPSS 18.0 and numbered sequentially in May 2018. A simple random sampling method was used to select 1 678 workers as the research object, and then a questionnaire survey was conducted from June to July 2018. In the valid questionnaires collected, workers who self-rated as "full-time correct use of PPE" and were approved by occupational health managers of employing units were included in the "correct use group" and others in the "incorrect use group". χ² test was used to analyze the PPE use of different factors, and binary unconditional logistic regression analysis was used to analyze the influencing factors. Results: 1547 valid questionnaires were collected in this study, including 803 workers correctly used PPE at full time (51.9%) , and other workers never used or occasionally used PPE. There were statistical difference of PPE usage rate among workers of different sex, industry and wage type (P<0.05) . Occupational health supervisors setting example in PPE usage (β=0.368) , workmates using PPE correctly and reminding PPE usage (β=0.891) , posting warning specifications of occupational hazards (β=0.361) , setting up "safe man" at the entrance of workshop (β=0.585) , WeChat and other new media on occupational health knowledge propaganda (β=0.536) , punishing incorrect usage of PPE (β=0.252) 、sex (β=-0.512) and wage type (β=-0.203) are influencing factors affecting the usage of PPE. Conclusion PPE usage rate of the occupational population in the city is still fairly low, and the PPE usage is influenced by a variety of factors. Comprehensive measures should be taken by employers to ensure using PPE to protect workers' occupational health.

Objective To establish the theoretical basis of the probiotic application among very low birth weight(VLBW) infants,the efficacy of probiotics on the gut microbiota of VLBW infants on the 14th postnatal day was studied.Method The VLBW infants admitted to BaoAn Maternal and Child Care Hospital from January 2015 to December 2015 were randomly assigned into probiotics group and placebo group.From the first feeding to corrected gestational age of 36 weeks,probiotics group was treated with a combination of Bifidobacterium and Lactobacillus while placebo group with placebo.Fecal samples were collected on the 1st and 14th postnatal day.Total bacterial DNA was extracted and sequenced using high-throughput 16S rRNA gene sequencing on MiSeq sequencing platform.Result A total of 21 VLBW infants were enrolled,9 in probiotics group and other 12 placebo group.No significant differences of clinical data existed between the two group (P ＞ 0.05),The abundance and diversity of microflora (P ＞ 0.05) on the first day between the two group were similar.Compared with placebo group,the relative abundance of Bifidobacterium and Lactobacillales in stool samples on the 14th day was significantly increased,while the Halomonas was significantly decreased.The relative abundance of the Shannon-index was increased,but without significant difference (P =0.16).Conclusion Enteral supplementation of probiotics in VLBW infants may increase probiotic bacterium and microflora diversity.