Objective To analyze the factors influencing occupational health literacy (OHL), work-related musculoskeletal disorders (WMSDs), and occupational stress in medical staff, and to investigate the potential associations between OHL and WMSDs as well as occupational stress. Methods A total of 880 medical staff members from 18 medical institutions were selected as the study subjects using a probability proportional method. Data on OHL, WMSDs, and occupational stress were investigated using the National Key Populations Occupational Health Literacy Surveillance Individual Questionnaire (including the Musculoskeletal Disorders Questionnaire and the Core Occupational Stress Scale), and the influencing factors and potential relationships were analyzed. Results The OHL level was 63.1%, the prevalence of WMSDs was 88.1%, and the detection rate of occupational stress was 24.0% in the study subjects. Multivariable logistic regression analysis showed that female medical staff had lower OHL levels than males (P<0.05). Medical staff with higher education levels and those working in higher-level medical institutions had higher OHL levels (all P<0.05). Medical staff working >40-<49 hours per week and those working ≥49 hours per week had higher OHL levels than those working ≤40 hours per week (all P<0.01). Medical staff with higher education levels or longer working hours had a higher risk of WMSDs (all P<0.05). Medical staff with lower monthly personal income, longer weekly working hours, and lower OHL levels had a higher risk of occupational stress (all P<0.05), and those working night shifts had a higher risk of occupational stress than those who did not (P<0.01). Conclusion The study participants had a relatively high level of OHL, a high prevalence of WMSDs, and a low detection rate of occupational stress. It is recommended that medical institutions effectively implement occupational health promotion and support measures to improve the OHL level of medical staff, to reduce the risk of WMSDs and occupational stress.

The pandemic of the coronavirus disease-2019(COVID-19)profoundly impacted global health system.Although the global pandemic has now ended,COVID-19 still exists locally and is seasonally popular in the form of influenzas.In addition to the impact on the respiratory system,myocardial injury,usually manifested as myocarditis,might occur in patients with COVID-19,and is related to increased disease severity and mortality.Now,there is no established consensus in China regarding the diagnosis,treatment and long-term management of COVID-19-related myocardial injury.Therefore,this consensus,based on the clinical and basic research data of COVID-19-related myocardial injury at domestic and abroad,is developed and provided a comprehensive overview of the epidemiology,pathogenesis,diagnosis,treatment and prognosis of COVID-19-related myocardial injury.The goal of this consensus is to provide a theoretical basis and practical guidance for the precise clinical assessment,diagnosis and treatment of COVID-19-related myocardial injury.

Objective To investigate the association between nutritional status and serum hepcidin and pentraxin 3(PTX3)levels in patients undergoing maintenance hemodialysis(MHD).Methods A total of 76 patients with MHD who met the inclusion criteria were recruited from the hemodialysis center at the Affiliated Hospital of Chengde Medical University.Nutritional status was assessed using the Subjective Global Assessment(SGA),which categorizes patients into three grades:SGA-A,SGA-B,and SGA-C.Serum levels of PTX3 and hepcidin were mea-sured by enzyme-linked immunosorbent assay(ELISA).Statistical analyses were conducted using SPSS software.One-way analysis of variance(ANOVA)was applied to compare differences across the three SGA groups.Logistic regression analysis was performed to identify influencing factors,and receiver operating characteristic(ROC)curve analysis was used to evaluate diagnostic value.Among the participants,45 patients were classified as malnourished based on SGA-B and SGA-C scores,while those with SGA-A constituted the well-nourished control group.Results Among the 76 MHD patients,59.2%were malnourished.We then compared clinical characteristics across the three groups.The results showed that the malnourished group was older and exhibited significantly higher levels of hs-CRP,PTX3,and hepcidin(P<0.05),while serum albumin,creatinine,and phosphorus levels were significantly lower(P<0.05).Pearson correlation analysis revealed positive correlations between SGA grades and hs-CRP,PTX3,and hepcidin levels(all P<0.05).Logistic regression analysis with"malnutrition"as the dependent variable indicated that elevated hs-CRP,PTX3,and hepcidin levels,along with age and male gender,were associated with increased risk of malnutrition in MHD patients,whereas higher serum phosphorus and creatinine levels were protec-tive factors.Further multivariate logistic regression analysis demonstrated that serum PTX3 level was an independent risk factor for malnutrition(P=0.032),while higher creatinine level was an independent protective factor(P=0.047).ROC curve analysis showed that the combination of serum PTX3 and creatinine levels had a high diagnostic value for identifying malnutrition in MHD patients,yielding an AUC of 0.789(P<0.001),a Youden index of 0.448,sensitivity of 77.8%,and specificity of 71.0%.Conclusions Elevated levels of PTX3 and hepcidin,along with reduced serum creatinine levels,are associated with an increased risk of malnutrition in patients undergoing MHD.Notably,elevated serum PTX3 and decreased serum creatinine independently predict malnutrition in this population and demonstrate high predictive value.

Arsenic (organoarsenic) compound is one of the oldest drugs used by humans to treat various diseases. From its initial application in treating various skin diseases to the 1970s when arsenic trioxide (ATO) was proven to be able to significantly relieve acute promyelocytic leukemia (APL), arsenic (organoarsenic) compounds gradually occupied an important position in the history of medical development. This article reviews the pharmaceutical research progress of inorganic arsenic compounds and organic arsine compounds, covering anticancer, antiparasitic, antiviral and antibiotic aspects. It further explores the potential for developing new arsenic (organoarsenic) drugs with higher efficacy and lower toxicity, aiming to provide new research directions and ideas for the application of arsenic (organoarsenic) compounds in disease treatment.

Objective To integrate and optimize the hospital adverse event reporting system,and to enhance the repor-ting rate of medical safety adverse events by using PDCA cycle management method.Achieve closed-loop management of adverse events,improve the efficiency of adverse event management in the hospital,assist in hospital grading review and-quality develop-ment,and reduce the mortality rate of low-risk groups in the hospital.Methods Based on the SPO theory,the quality control circle,PDCA management,flow chart and description method were used,and combined with the previous adverse event manage-ment experience,the adverse event reporting and tracking process was simplified,and adverse event management information platform was optimized and restructured.The period from January to December 2023(control group)and the period from January to 2024(observation group)were compared and analyzed for the number of adverse event reports per 100 discharges and the mor-tality rate of the low-risk group before and after the implementation of PDCA cycle management.Results The application of PDCA cycle management effectively improved the reporting rate of medical safety adverse events and reduced the mortality rate of the hospital's low-risk group.Conclusion The integrated and designed adverse event management system has good applicability and can be promoted for use in hospital management.

Cardiac troponin(cTn)is the preferred biomarker for the evaluation of myocardial injury.High levels of cTn are associated with the risk of cardiovascular events in both patients and the general population.Although regular exercise improves cardiovascular function,prolonged strenuous exercise can lead to a dramatic increase in cTn concentrations,even above the upper limit of the reference value.There has been controversy on the topic of whether exercise-induced cTn elevations are attributable to physiologic or pathologic conditions,and to date,such elevations have usually been considered as a benign phenomenon.However,recent research suggests that exercise-induced cTn elevation may be viewed as an early biomarker of future cardiovascular events.In order to better understand the diagnostic value of cTn in the exercise cardiovascular field,this article reviews recent research evidences on the factors,underlying mechanisms and clinical significance of cTn elevation induced by long-distance endurance exercise such as marathon.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

Cardiac troponin(cTn)is the preferred biomarker for the evaluation of myocardial injury.High levels of cTn are associated with the risk of cardiovascular events in both patients and the general population.Although regular exercise improves cardiovascular function,prolonged strenuous exercise can lead to a dramatic increase in cTn concentrations,even above the upper limit of the reference value.There has been controversy on the topic of whether exercise-induced cTn elevations are attributable to physiologic or pathologic conditions,and to date,such elevations have usually been considered as a benign phenomenon.However,recent research suggests that exercise-induced cTn elevation may be viewed as an early biomarker of future cardiovascular events.In order to better understand the diagnostic value of cTn in the exercise cardiovascular field,this article reviews recent research evidences on the factors,underlying mechanisms and clinical significance of cTn elevation induced by long-distance endurance exercise such as marathon.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

An overview of the application of association rule mining(ARM)in real-world study(RWD)on drug safety to inform pharmacovigilance real-world data analysis.The applications of ARM in RWD of drug safety were divided into single drug/vaccine signal detection,combined medication risk mining,multidimensional risk factor analysis and adverse drug event occurrence characterization based on passive monitoring data;medication characterization pattern analysis,auxiliary epidemiological study design and risk mining of the whole dataset based on active monitoring data.In general,foreign scholars pay more attention to method rule setting,performance evaluation and application research,while domestic scholars pay more attention to multidimensional risk factor analysis,adverse drug event occurrence pattern,and clinical drug use characteristics research.With the accumulation of medical data and the continuous development of data mining technology,ARM may provide new ideas for RWD on drug safety.