Work serves as a critical means of obtaining resources, facilitating personal growth, realizing self-worth, and engaging in social interactions. However, work-related diseases pose significant threats to workers’ health and productivity, and impose considerable economic burdens. This article categorized work-related diseases into six major types, including musculoskeletal disorders, mental and behavioral disorders, cardiovascular and metabolic diseases, digestive system diseases, reproductive system diseases, and non-specific respiratory diseases, and summarized their risk factors, assessment methods, policy regulation, and prevention and control measures. Current research in this field predominantly relies on cross-sectional studies, which present limitations in causal inference and potential risks of bias. Future studies should expand sample sizes, optimize research designs, and establish multidimensional evaluation systems to comprehensively assess the health and economic impacts of work-related diseases. It is recommended to enhance the translation of research findings into practice, thereby providing a scientific basis for the occupational health protection system and promoting the well-being and sustainable development of the working population.

Objective To investigate the characteristics of epilepsy onset based on the theory of five circuits and six qi in traditional Chinese medicine(TCM).Methods A total of 8 389 epilepsy patients from a community-based natural population cohort study from UK Biobank were included.Frequency and constituent ratio analyses were performed to describe the distribution of epilepsy onset in relation to the five circuits and six qi elements,and statistical inferences were made using chi-square tests.Results The analysis revealed statistically significant differences existed in epilepsy onset across different heavenly stems,earthly branches,recombinant yearly circuit,celestial control and terrestrial effect,and dominant qi(all P＜0.05).From the perspective of circuits,the highest incidence occurred in years corresponding to the"Ji"and"Hai"years,while the lowest incidence was observed in"Bing"and"Mao"years.Years dominated by wood circuit and wind manifestations exhibited the highest incidence,whereas years with cold manifestations showed the lowest incidence,suggesting the liver as the primary pathological site in epilepsy.From the perspective of qi,the third dominant qi was most frequently associated with onset.Regarding presiding and subordinate qi,years with taiyin damp earth presiding and taiyang cold water subordinate had the highest incidence,while years with yangming dry metal presiding and shaoyang monarch fire subordinate had the lowest incidence,indicating that cold-damp years and midsummer periods are potential triggers for epilepsy.Conclusion There is a certain regularity in the epilepsy onset correlated with the features of five circuits and six qi,which can guide prevention and clinical diagnosis and treatment of epilepsy.

Background and purpose:Intracellular deubiquitylating enzymes,such as ubiquitin-specific peptidase 2(USP2),play a pivotal role in regulating protein degradation and cellular homeostasis by modulating protein ubiquitin deconjugation,which have been implicated in the proliferation and survival of multiple myeloma(MM)cells.Targeting the inhibition of USP2 activity in MM cells might modulate their biological behavior.This study aimed to investigate regulatory effects of the leukotriene receptor antagonist montelukast sodium on USP2 in MM cells and its subsequent biological effects.Methods:An in vitro deubiquitination reaction system was established using purified USP2 protein and its substrate,the glutathione S-transferase(GST)tagged ubiquitin A-52 residue ribosomal protein fusion product(UbA52),known as GST-UbA52 protein.This system was used to characterize inhibitory effects of montelukast sodium on USP2 deubiquitinase activity.The MM cell lines MM1.S and H929 were used as in vitro models.Cellular thermal shift assay(CETSA)was subsequently employed to test interaction mode between montelukast sodium and USP2 in MM cells.Western blot assay was applied to detect expression levels of USP2 and its targeting regulators,including cell cycle supervisors cyclin D1(CCND1)and cyclin A1(CCNA1),classical signaling transducer KRAS and glucose regulated protein 78kD(GRP78),as well as apoptotic molecule C/EBP-homologous protein(CHOP)in MM1.S and H929 cells before and after the treatment with different concentrations of montelukast sodium.MM cells with either overexpression(H929-OE,MM1.S-OE)or knockdown(H929-LE,MM1.S-LE)of USP2 were generated using a lentiviral vector.Cell counting kit-8(CCK-8)and flow cytometry were utilized to detect the proliferation and apoptotic rates of H929-OE,MM1.S-OE,H929-LE and MM1.S-LE cells treated with montelukast sodium.Results:Montelukast sodium was found to inhibit USP2 mediated degradation of GST-UbA52 protein in a concentration-dependent manner,with a half inhibitory concentration(IC50)of 3.814 μmol/L.Additionally,montelukast sodium significantly enhanced the thermal stability of USP2 at temperatures of 49.1,53.2 and 56.4℃.It was also shown that montelukast sodium could down-regulate expressions of CCND1,CCNA1 and KRAS,while increase levels of GRP78 and CHOP in MM1.S and H929 cells.Furthermore,after treating with 40 μmol/L montelukast sodium for 24 h,the proliferation inhibition and apoptotic rate of H929-OE cells reached to(37.68±1.10)%and(18.99±0.26)%,while the proliferation inhibition and apoptotic rate of MM1.S-OE cells reached to(24.48±0.49)%and(33.29±0.75)%,which were significantly lower than those in H929 and MM1.S cells[H929:(57.19±1.93)%and(45.65±0.24)%;MM1.S:(50.04±0.53)%and(40.25±0.91)%;P＜0.05,n=3].Conversely,the proliferation inhibition and apoptotic rates of H929-LE and MM1.S-LE cells were significantly higher[H929-LE-1#:(80.70±1.60)%and(89.08±0.49)%;H929-LE-2#:(75.30±3.80)%and(82.41±1.07)%;MM1.S-LE-1#:(70.64±0.84)%and(67.63±0.21)%;MM1.S-LE-2#:(68.47±1.32)%and(85.90±0.18)%;P＜0.05,n=3].Conclusion:Montelukast sodium can target ubiquitin proteasome regulator USP2 and inhibit its deubiquitylating activity,which may modulate USP2 directing protein and trigger endoplasmic reticulum stress to induce cell cycle arrest and apoptosis in MM cells.

Objective:To investigate the feasibility of the bortezomib, lenalidomide, and dexamethasone (VRD) regimen combined with autologous hematopoietic stem cell transplantation (auto-HSCT) in patients with multiple myeloma (MM) and renal impairment, analyze treatment efficacy and renal responses stratified based on renal dysfunction severity, and explore the prognostic significance of early renal response and its affecting factors.Methods:This retrospective study, conducted at the First Affiliated Hospital of Soochow University, categorized 316 patients with newly diagnosed MM (NDMM) from August 2018 to October 2022 based on renal function for analysis of clinical characteristics, treatment response, and prognosis. Continuous variables were compared using t-tests or Mann-Whitney U tests, categorical variables utilizing Chi-square tests, survival outcomes employing Kaplan-Meier and Log-rank tests, and renal response predictors with logistic regression.Results:Patients were stratified based on baseline estimated glomerular filtration rate (eGFR) : normal [≥90 ml·min -1· (1.73 m 2) -1, n=160], mild [≥60 ml·min -1· (1.73 m 2) -1 to <90 ml·min -1· (1.73 m 2) -1, n=55], moderate [≥30 ml·min -1· (1.73 m 2) -1 to <60 ml·min -1· (1.73 m 2) -1, n=39], and severe impairment [<30 ml·min -1· (1.73 m 2) -1, n=62]. Moderate and severe renal impairment correlated with advanced International Staging System/Revised International Staging System classification, lower hemoglobin levels, frailty, and higher light-chain/IgD subtype prevalence ( P<0.05). Despite younger age ( P=0.001) and higher transplant rates ( P=0.041) in severe cases, overall response rates ( ORR: 93.7% ; ≥VGPR: 82.9% ) were comparable across groups ( P>0.05). Among 24 dialysis-dependent patients at diagnosis, 11 (45.8% ) achieved dialysis independence after induction [median: 3.0 (0.5–4.0) months], including 10 undergoing auto-HSCT. In 89 evaluable patients [baseline eGFR <50 ml·min -1· (1.73 m 2) -1], renal ORR (RORR) was 70.8% [rapid complete response: 31.5% ; rapid partial response: 11.2% ; rapid minimal response (RMR) : 28.1% ]. Renal response predicted better survival (overall survival: HR=0.36, 95% CI: 0.13–0.99, P=0.049). Moderate-to-severe renal impairment was associated with increased transplant-related adverse events and delayed engraftment ( P<0.05) ; however, auto-HSCT significantly improved outcomes after 33.5-month median follow-up (range: 2–65 months). Multivariate analysis identified 1q21+ ( OR=3.58, 95% CI: 1.17–11.02, P=0.026) and light-chain subtype ( OR=2.86, 95% CI: 1.08–7.69, P=0.036) as independent predictors of poor renal response. Conclusion:VRD regimen plus auto-HSCT demonstrates robust efficacy in NDMM, including patients with renal impairment, with a 70.8% RORR and manageable toxicity. Achieving ≥RMR correlates with superior prognosis, whereas 1q21+ and light-chain subtype independently predict inferior renal response.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Lean six sigma (LSS) emphasizes patient demand-oriented, and continuously optimizing prolesses to achieve efficiency and standardization in medical services. Starting in 2021, a specialized children′s hospital (comprising one main campus and three branch campuses) introduced the LSS management method. Through define, measure, analyze, improve, and control, the hospital utilized tools such as questionnaire surveys, SIPOC models, and fishbone diagrams to identify pain points in the building of multi-campus child-friendly hospital and develop improvement measures.To address the main issues of insufficient cross-campus collaboration, significant disparities in service quality among different campuses, unclear functional positioning of each campus, and inadequate integration with social security mechanisms, the hospital implemented a " homogeneity-differentiation-coordination" management mode. The hospital implemented unified diagnosis and treatment standards and clinical pathways, carried out remote consultations and expert rotations, completed mutual recognition of examination and testing results, optimized child friendly labeling and child friendly environment, and built a " hospital-to-hospitals, hospital to medical schools, and hospital to community health centers" linkage platform, etc., to promote the standardization of diagnosis and treatment processes, clear functional positioning of the hospital area, and efficient resource allocation. Through practice, the outpatient appointment rate and patient satisfaction rate in the main hospital had increased from 86.72% and 98.64% in January December 2021 to 91.87% and 99.72% in January December 2024, respectively; The patient waiting time had been shortened from 26.54 minutes to 21.94 minutes, and the efficiency of medical treatment and service experience had been significantly improved. As of 2024, mutual recognition of 214 inspection and testing items had been achieved cross hospital campuses, forming a collaborative pattern of " main hospital leading, campuses support, and resource complementarity", and significantly improving the level of collaboration and child friendly connotation among multi-campus. This practice explored the integration path of multi-campus collaborative governance and child-friendly services, which could provide reference and inspiration for the similar hospitals.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective:To summarize the best evidence regarding early maternal-neonatal skin-to-skin contact during cesarean section, with the aim of providing an evidence-based foundation for clinical nursing practice.Methods:Developing a literature search strategy to systematically retrieve relevant literature on early maternal-neonatal skin-to-skin contact during cesarean sections from UpToDate, BMJ Best Practice, PubMed, Cochrane Library, CINAHL, Web of Science, Embase, China National Knowledge Infrastructure, VIP, China Biology Medicine disc, and Wanfang Database. The search focus on clinical decision-making, guidelines, expert consensus, evidence summaries, and systematic reviews. The search timeframe should cover from the inception of each database to June 2024. Literature was subjected to quality appraisal, and only high-quality sources were included for evidence extraction and synthesis.Results:A total of eight documents were included, consisting of one clinical decision-making, five guidelines, one expert consensus, and one systematic review. A total of 23 best practice recommendations were extracted and categorized into six domains: team composition and training, indications and contraindications, pre-implementation preparation, implementation protocols, implementation recommendations, and precautions.Conclusions:This study provides a comprehensive summary of current evidence related to early maternal-neonatal skin-to-skin contact during cesarean section. The findings offer evidence-based guidance for clinical nursing practice and contribute to improving the safety of maternal-neonatal skin-to-skin contact implementation during cesarean section.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.

Objective·To explore the causal relationship between air pollution and the risk of Alzheimer's disease(AD)by using two-sample Mendelian randomization(MR).Methods·Based on the data from the genome-wide association study(GWAS),a two-sample MR analysis was conducted to evaluate the causal relationship between air pollution and the risk of AD.Air pollution indicators,including particulate matter 2.5(PM2.5),particulate matter 2.5-10(PM2.5-10),particulate matter 10(PM10),nitrogen dioxide and nitrogen oxides,were used as exposure factors,and summarized data were aggregated from the UK Biobank database.The PM2.5 dataset included 423 796 cases,with correlation analysis conducted on 9 851 867 single nucleotide polymorphisms(SNPs);the PM2.5-10 dataset included 423 796 cases,with correlation analysis conducted on 9 851 867 SNPs;the PM10 dataset included 455 314 cases,with correlation analysis conducted on 9 851 867 SNPs;the nitrogen dioxide dataset included 456 380 cases,with correlation analysis conducted on 9 851 867 SNPs;the nitrogen oxides dataset included 456 380 cases,with correlation analysis conducted on 9 851 867 SNPs.AD was used as the outcome factor,and data were obtained from the International Genomics of Alzheimer's Project(IGAP).The AD dataset included 25 580 cases and 48 466 controls,with correlation analysis of 7 067 513 SNPs.SNPs significantly associated with AD were used as instrumental variables.The main analysis was conducted by using the inverse variance weighted(IVW)method,and four methods including weighted median,MR-Egger regression,mode-based simple estimation and mode-based weighted estimation were used for quality control.Heterogeneity testing,gene pleiotropy testing and sensitivity analysis were conducted to assess the reliability of the study results.Results·Heterogeneity testing indicated no evidence of heterogeneity among SNPs associated with air pollution indicators and AD(both IVW and MR-Egger results,P＞0.05).Gene pleiotropy testing did not detect any pleiotropic effects(MR-Egger results,P＞0.05).Sensitivity analysis confirmed the stability of the PM2.5 results.IVW analysis revealed a statistically significant association between PM2.5 and AD in European populations(P＜0.001),while no statistically significant associations were observed between PM2.5-10(P=0.664),PM10(P=0.664),nitrogen dioxide(P=0.284),nitrogen oxides(P=0.567)and AD.Conclusion·There is a significant causal relationship between PM2.5 exposure and the risk of AD,with PM2.5 exposure increasing the incidence of AD.However,no evidence has been found to suggest that PM2.5-10,PM10,nitrogen dioxide or nitrogen oxides cause an increased risk of AD.