Objective To investigate the peripheral blood cytokine levels in patients with acute myocardial infarction(AMI),and to analyze its correlation with Killip classification,N-terminal brain natriuretic peptide precursor(NT-proBNP),cardiac troponin I(cTnI),creatine kinase isoenzymes(CK-MB),and to provide a theoretical basis for assessing the severity and prognosis of the disease.Methods A total of 312 patients with AMI admitted to Minhang Hospital,Fudan University from Jul 2021 to Oct 2023 were enrolled as the case group,and 201 patients with unstable angina pectoris were selected as the control group.General clinical data of the subjects were collected,and the concentrations of cytokines(IL-5,IFN-α,IFN-γ,IL-10,IL-12p70,IL-17,IL-1β,IL-2,IL-4,IL-6,IL-8,and TNF-α)in peripheral blood were detected by multiplex bead-based flow cytometry.NT-proBNP,cTnI and CK-MB were measured by chemiluminescence methods.The levels of cytokines between the two groups were compared,and their correlations with Killip classification,NT-proBNP,cTnI and CK-MB were analyzed.The predictive efficacy of cytokines for AMI was evaluated by receiver operating characteristic(ROC)curves.Results There were no significant differences in baseline data between the AMI group and the control group(P>0.05),with the exception of age.The levels of IL-6,IL-8 and TNF-α in the AMI group were higher than those in the control group(all P<0.01).The correlation analyses showed that IL-6 was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB(all P<0.01).ROC analyses showed that IL-6 levels had good predictive efficacy for AMI(AUC=0.882 9,P<0.01).Conclusion The expression of IL-6 was significantly increased in patients with AMI,and it was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB,suggesting that IL-6 may serve as a potential biomarker for assessing the severity of AMI.

Objective:To analyze the key factors,hierarchical structure and internal action paths that affect the ability improvement of medical insurance management personnel in public hospitals,and to provide theoretical basis and practical reference for strengthening the construction of medical insurance management talent teams in hospitals.Methods:Through the mutual verification of literature analysis,policy interpretation and interview results,an index system of influencing factors for the ability improvement of medical insurance management personnel in public hospitals was constructed.A hybrid method combining DEMATEL-ISM-MICMAC was adopted to define the relationships,divide the levels and conduct driving force-dependence analysis of the influencing factors.Results:There are a total of 12 key factors influencing the ability improvement of medical insurance management personnel in public hospitals.Through the ISM model,these influencing factors can be classified into four levels:surface factors,intermediate factors,deep factors,and essential factors.With the help of MICMAC analysis,it can be classified into the spontaneous factor group of"low driving force-low dependence",the independent factor group of"high driving force-low dependence"and the dependent factor group of"low driving force-high dependence".Conclusion:Policy interpretation and knowledge reserve are the fundamental driving factors for ability improvement;Professional ethics and responsibilities are the deep-seated supporting factors of the ability system.The regulatory capacity of medical insurance funds is a key outcome and performance manifestation.

Objective:To analyze the key factors,hierarchical structure and internal action paths that affect the ability improvement of medical insurance management personnel in public hospitals,and to provide theoretical basis and practical reference for strengthening the construction of medical insurance management talent teams in hospitals.Methods:Through the mutual verification of literature analysis,policy interpretation and interview results,an index system of influencing factors for the ability improvement of medical insurance management personnel in public hospitals was constructed.A hybrid method combining DEMATEL-ISM-MICMAC was adopted to define the relationships,divide the levels and conduct driving force-dependence analysis of the influencing factors.Results:There are a total of 12 key factors influencing the ability improvement of medical insurance management personnel in public hospitals.Through the ISM model,these influencing factors can be classified into four levels:surface factors,intermediate factors,deep factors,and essential factors.With the help of MICMAC analysis,it can be classified into the spontaneous factor group of"low driving force-low dependence",the independent factor group of"high driving force-low dependence"and the dependent factor group of"low driving force-high dependence".Conclusion:Policy interpretation and knowledge reserve are the fundamental driving factors for ability improvement;Professional ethics and responsibilities are the deep-seated supporting factors of the ability system.The regulatory capacity of medical insurance funds is a key outcome and performance manifestation.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors

Bone grafting is a primary method for treating bone defects. Among various graft materials, xenogeneic bone substitutes are widely used in clinical practice due to their abundant sources, convenient processing and storage, and avoidance of secondary surgeries. With the advancement of domestic production and the limitations of imported products, an increasing number of bone filling or grafting substitute materials isentering clinical trials. Relevant experts have drafted this consensus to enhance the management of medical device clinical trials, protect the rights of participants, and ensure the scientific and effective execution of trials. It summarizes clinical experience in aspects, such as design principles, participant inclusion/exclusion criteria, observation periods, efficacy evaluation metrics, safety assessment indicators, and quality control, to provide guidance for professionals in the field.
Humans ; Bone Substitutes/therapeutic use* ; Randomized Controlled Trials as Topic/methods* ; Consensus ; Bone Transplantation ; Research Design

Cosmetics may be an important source of human exposure to per-and polyfluoroalkyl substances(PFASs),posing risks to human health.In this study,a nontarget screening method for PFASs in cosmetics was developed using ultra-high performance liquid chromatography-high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS)based on the Kendrick mass defect(KMD).The sample was extracted by ultrasonic assisted extraction prior to being analyzed by UHPLC-Q-Orbitrap HRMS.Acquisition of HRMS data was achieved in both full scan and data-dependent(Full MS/dd MS2)mode.The data collected by HRMS were imported into an in-lab built R script for processing.Samples retained the mass spectra peaks with KMD values in the range of 0.85-1 or 0-0.15 for in-and out-of-library matching;when KMD deviation(δKMD)<0.001 and CF 2 mass error(δMS)<15 ppm,it was considered as a potential PFASs homologues.According to matches of parent ions(MS),fragment ions(MS2)and retention time(RT)with the in-house built PFASs database,the screened and identified potential PFASs were categorized to 5 confidence levels(CL1-CL5).A total of 15 kinds of PFASs homologues with confidence level of CL3 and above were screened from 13 cosmetics products and 8 cosmetic raw materials,including perfluoroalkyl alcohol,hydroperfluoroalkyl sulfonic acid,chloroperfluoroalkyl sulfonic acid,etc.with concentrations ranging from 1.9 ng/g to 98.1 ng/g.The nontarget screening method could be used to screen and identify PFASs homologues feasibly and therefore provided data basis for management and control of PFASs addition in cosmetics.

Sarin(GB)is a typical representative of nerve agents with high toxicity,and very low amount can cause death.GB can cause water and atmospheric environment poisoning,so the detection of GB in water and air is of great significance.In this work,a colorimetric sensor array(CSA)based on GB inhibition of cholinesterase activity was constructed to detect GB with high selectivity.A 4×4 colorimetric array was constructed using acetylcholinesterase(AChE),butyryl cholinesterase(BuChE)and the corresponding substrate acetylthiocholine iodide(S-ACh),butyryl thiocholine iodide(S-BCh),acetylcholine chloride(ACh),butyryl choline chloride(BCh)and 2,6-dichloroindophenol ethyl ester(DCIE).The linear curve of the sensor was Y=131.3×lgC+271.6(R2=0.997),where Y was the array response Euclidean distance,C was the concentration of GB(mg/L),the linear range was 0.03?0.32 mg/L,and the detection limit was 27.6 μg/L.The method could effectively distinguish chemical warfare agents(CWA)such as VX,Soman(GD),mustard gas(HD),Louie reagent(L),and had high anti-interference ability,sensitivity and good repeatability.It was successfully applied to the detection of GB in simulated water and simulated air samples,and the sample recovery rate was 97.2% ?100.9%.This method would be potentially applied to the field rapid detection of nerve agents.

OBJECTIVE: To examine the effectiveness of Chinese medicine (CM) Lianhua Qingwen Granule (LHQW) and Jingyin Gubiao Prescription (JYGB) in asymptomatic or mild patients with Omicron infection in the shelter hospital. METHODS: This single-center retrospective cohort study was conducted in the largest shelter hospital in Shanghai, China, from April 10, 2022 to May 30, 2022. A total of 56,244 asymptomatic and mild Omicron cases were included and divided into 4 groups, i.e., non-administration group (23,702 cases), LHQW group (11,576 cases), JYGB group (12,112 cases), and dual combination of LHQW and JYGB group (8,854 cases). The length of stay (LOS) in the hospital was used to assess the effectiveness of LHQW and JYGB treatment on Omicron infection. RESULTS: Patients aged 41-60 years, with nadir threshold cycle (C_T) value of N gene <25, or those fully vaccinated preferred to receive CM therapy. Before or after propensity score matching (PSM), the multiple linear regression showed that LHQW and JYGB treatment were independent influence factors of LOS (both P<0.001). After PSM, there were significant differences in LOS between the LHQW/JYGB combination and the other groups (P<0.01). The results of factorial design ANOVA proved that the LHQW/JYGB combination therapy synergistically shortened LOS (P=0.032). CONCLUSIONS Patients with a nadir C_T value <25 were more likely to accept CM. The LHQW/JYGB combination therapy could shorten the LOS of Omicron-infected individuals in an isolated environment.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Male ; Female ; Middle Aged ; Adult ; China/epidemiology* ; Hospitalization ; COVID-19 Drug Treatment ; COVID-19/epidemiology* ; SARS-CoV-2 ; Retrospective Studies ; Treatment Outcome ; Length of Stay ; Young Adult ; Aged