Objective To analyze the efficacy of the"sandwich"technique for treating varicocele(VC).Methods A total of 310 patients with VC(365 affected veins)were selected and divided into interventional treatment group and non-interventional treatment group.The baseline data,hospitalization data,and 6-month follow-up data of the two groups were analyzed.Results The age of patients in the interventional treatment group was significantly lower than that in the non-interventional treatment group(P＜0.05).The surgical time and hospital stay in the interventional treatment group were significantly lower than those in the non-interventional treatment group(P＜0.05).In the non-interventional treatment group,two patients experienced surgical site infections,and one patient opted for interventional treatment due to recurrence after non-interventional treatment.After surgery,the diameter of the spermatic vein significantly decreased in both the interventional and non-interventional treatment(P＜0.05).Conclusion The"sandwich"technique(embolization coil combined with foam sclerotherapy)is an effective treatment for VC.

Objective·To investigate the bidirectional causal relationships between celiac disease(CeD)and Hashimoto thyroiditis(HT)as well as Graves disease(GD),using a two-sample Mendelian randomization(MR)approach.Methods·Single nucleotide polymorphisms(SNPs)related to CeD,HT and GD were extracted from publicly available Genome-Wide Association Studies(GWAS)databases and used as instrumental variables.The inverse-variance weighted(IVW)method served as the primary analytical approach,supplemented by MR-Egger,weighted median(WME)and weighted mode(WMO)methods,to evaluate the causal associations between CeD and both HT and GD.Replication analyses using alternative GWAS datasets were conducted to validate the robustness of the results.Heterogeneity was assessed using Cochran's Q test,and pleiotropy was evaluated via MR-Egger intercept test.Leave-one-out analyses were performed to assess the impact of individual SNPs on the results.Results·The IVW analysis results indicated that genetically predicted CeD significantly increased the risk of HT[discovery group:OR=1.186(95%CI 1.114?1.262),P<0.001;replication group:OR=1.218(95%CI 1.090?1.361),P<0.001]and GD[discovery group:OR=1.214(95%CI 1.155?1.276),P<0.001;replication group:OR=1.273(95%CI 1.161?1.396),P<0.001].However,reverse MR analyses did not provide evidence for a causal relationship between HT and CeD,while genetically predicted GD significantly increased the risk of CeD[discovery group:OR=1.259(95%CI 1.006?1.576),P=0.044;replication group:OR=1.387(95%CI 1.233?1.560),P<0.001].Sensitivity analyses suggested that the results were not influenced by horizontal pleiotropy.Conclusion·CeD may be causally associated with a higher risk of HT and GD,while GD may increase the risk of developing CeD.HT does not appear to have an impact on CeD.

Objective Patients with acute coronary syndrome(ACS)combined with chronic kidney disease(CKD)are at high risk of major adverse cardiovascular events(MACE),and early prediction is crucial for improving prognosis.Non-invasive detection methods,due to their simplicity and safety,have become important tools for assessing risks in such patients.This study aims to evaluate the application value of non-invasive detection indicators in predicting MACE in ACS patients with CKD.Methods The study included 216 ACS patients with CKD,divided into a Non-MACE group(n=149)and a MACE group(n=67).General patient data,non-invasive detection indicators,electrocardiogram(ECG),and cardiac function indicators were collected.Univariate and multivariate logistic regression analyses were performed to explore the relationship between these indicators and MACE.A nomo-gram prediction model was constructed,and its performance was evaluated using ROC curve analysis,calibration curve,and decision curve analysis.Results Univariate analysis showed that age,BMI,SVR,SVRI,HRV,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score were significantly associated with MACE.Multivariate analysis identified SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score as independent risk factors for MACE.ROC curve analysis revealed that the model had an AUC value of 0.979,sensi-tivity of 0.925,specificity of 0.966,and accuracy of 0.9537,indicating high diagnostic accuracy.Calibration curve and decision curve analyses further confirmed the model's reliability.Conclusion Non-invasive detection indicators,including SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score,have significant value in predicting MACE in ACS patients with CKD.The constructed prediction model provides an effective tool for clinical risk assessment.

Objective To analyze the efficacy of the"sandwich"technique for treating varicocele(VC).Methods A total of 310 patients with VC(365 affected veins)were selected and divided into interventional treatment group and non-interventional treatment group.The baseline data,hospitalization data,and 6-month follow-up data of the two groups were analyzed.Results The age of patients in the interventional treatment group was significantly lower than that in the non-interventional treatment group(P＜0.05).The surgical time and hospital stay in the interventional treatment group were significantly lower than those in the non-interventional treatment group(P＜0.05).In the non-interventional treatment group,two patients experienced surgical site infections,and one patient opted for interventional treatment due to recurrence after non-interventional treatment.After surgery,the diameter of the spermatic vein significantly decreased in both the interventional and non-interventional treatment(P＜0.05).Conclusion The"sandwich"technique(embolization coil combined with foam sclerotherapy)is an effective treatment for VC.

Objective·To investigate the bidirectional causal relationships between celiac disease(CeD)and Hashimoto thyroiditis(HT)as well as Graves disease(GD),using a two-sample Mendelian randomization(MR)approach.Methods·Single nucleotide polymorphisms(SNPs)related to CeD,HT and GD were extracted from publicly available Genome-Wide Association Studies(GWAS)databases and used as instrumental variables.The inverse-variance weighted(IVW)method served as the primary analytical approach,supplemented by MR-Egger,weighted median(WME)and weighted mode(WMO)methods,to evaluate the causal associations between CeD and both HT and GD.Replication analyses using alternative GWAS datasets were conducted to validate the robustness of the results.Heterogeneity was assessed using Cochran's Q test,and pleiotropy was evaluated via MR-Egger intercept test.Leave-one-out analyses were performed to assess the impact of individual SNPs on the results.Results·The IVW analysis results indicated that genetically predicted CeD significantly increased the risk of HT[discovery group:OR=1.186(95%CI 1.114?1.262),P<0.001;replication group:OR=1.218(95%CI 1.090?1.361),P<0.001]and GD[discovery group:OR=1.214(95%CI 1.155?1.276),P<0.001;replication group:OR=1.273(95%CI 1.161?1.396),P<0.001].However,reverse MR analyses did not provide evidence for a causal relationship between HT and CeD,while genetically predicted GD significantly increased the risk of CeD[discovery group:OR=1.259(95%CI 1.006?1.576),P=0.044;replication group:OR=1.387(95%CI 1.233?1.560),P<0.001].Sensitivity analyses suggested that the results were not influenced by horizontal pleiotropy.Conclusion·CeD may be causally associated with a higher risk of HT and GD,while GD may increase the risk of developing CeD.HT does not appear to have an impact on CeD.

Objective Patients with acute coronary syndrome(ACS)combined with chronic kidney disease(CKD)are at high risk of major adverse cardiovascular events(MACE),and early prediction is crucial for improving prognosis.Non-invasive detection methods,due to their simplicity and safety,have become important tools for assessing risks in such patients.This study aims to evaluate the application value of non-invasive detection indicators in predicting MACE in ACS patients with CKD.Methods The study included 216 ACS patients with CKD,divided into a Non-MACE group(n=149)and a MACE group(n=67).General patient data,non-invasive detection indicators,electrocardiogram(ECG),and cardiac function indicators were collected.Univariate and multivariate logistic regression analyses were performed to explore the relationship between these indicators and MACE.A nomo-gram prediction model was constructed,and its performance was evaluated using ROC curve analysis,calibration curve,and decision curve analysis.Results Univariate analysis showed that age,BMI,SVR,SVRI,HRV,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score were significantly associated with MACE.Multivariate analysis identified SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score as independent risk factors for MACE.ROC curve analysis revealed that the model had an AUC value of 0.979,sensi-tivity of 0.925,specificity of 0.966,and accuracy of 0.9537,indicating high diagnostic accuracy.Calibration curve and decision curve analyses further confirmed the model's reliability.Conclusion Non-invasive detection indicators,including SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score,have significant value in predicting MACE in ACS patients with CKD.The constructed prediction model provides an effective tool for clinical risk assessment.

Objective : To investigate the prevalence of occupational injury and identify its influencing factors among workers in a steel enterprise in Gansu Province, so as to provide insights into prevention of occupational injury among steel workers. Methods: Workers were sampled from a steel enterprise in Gansu Province using a cluster sampling method from January to March 2022, and participants' demographics, occupational history and occupational injury were collected using questionnaire surveys. The type of job and site and type of injury were analyzed among workers with occupational injuries, and factors affecting workers' occupational injuries were identified using a multivariable logistic regression model. Results: A total of 12 089 questionnaires were allocated and 10 725 valid questionnaires were recovered, with an effective recovery rate of 88.71%. The respondents included 9 412 males (87.77%) and 1 312 females (12.23%), and had a median age of 36.00 (interquartile range, 15.00) years. Junior college and above was the predominant educational level (6 056 workers, 56.47%), and the respondents had a median length of service of 10 (interquartile range, 11) years. The prevalence of occupational injury was 5.25% among respondents. Overhaul worker was the main type of job (11.90%), and object strike was the predominant type of occupational injury (18.25%), while the lower limb was the predominant site of injury (27.82%). Multivariable logistic regression analysis identified men (OR=2.464, 95%CI: 1.580-3.843), age (30 to 39 years, OR=2.561, 95%CI: 1.643-3.993; 40 to 49 years, OR=5.197, 95%CI: 2.679-10.079; 50 years and older, OR=10.620, 95%CI: 6.788-16.615), exposure to high temperature (OR=1.400, 95%CI: 1.165-1.683), operating equipment failure (OR=1.291, 95%CI: 1.048-1.591), absence of personal safety protection equipment (OR=1.555, 95%CI: 1.064-2.273) and safety behavior scores (OR=0.967, 95%CI: 0.937-0.996) as factors affecting occupational injuries among workers in a steel enterprise. Conclusions Men and overhaul workers are at a high risk of occupational injuries in this steel enterprise. Objectstrike is the predominant type of injury and lower limb is the main site of injury. The risk of occupational injuries is affected by gender, age, working environments, equipment status and safety behaviors.

Objective:To analyze the current status of utilization behavior of basic public health services among elderly migrants in China and to explore its association with social capital.Method:This was a cross-sectional study. The data were obtained from the 2017 National Dynamic Monitoring and Survey on the Health and Family Planning of Migrants (Volume A), and the study subjects were selected by stratified, multi-stage and probability proportional to size sampling methods, covering all 31 provinces (autonomous regions or municipalities), and Xinjiang Production and Construction Corps in China. Participants were migrants aged 60 and above who had resided in their current location for over 6 months without household registration. Demographic and sociological characteristics along with relevant information were collected. Utilization of basic public health services was indicated by the establishment of health records and receipt of health education. Social capital indicators encompassed social networks, family support, social participation, civic engagement, social trust, sense of social belonging, and social cohesion. Logistic regression models were applied to analyze the association between social capital and utilization of basic public health services among elderly migrants.Results:A total of 5 728 elderly migrants were included, with a mean age of (66.03±5.56) years, and 3 302 (57.6%) were males. Among them, 1 892 (33.0%) had established health records in their residence, and 2 372 (58.6%) had received health education. Logistic regression analysis revealed positive associations of social networks ( OR=1.287, 95% CI:1.130-1.466), social participation ( OR=1.426, 95% CI:1.238-1.644), and civic engagement ( OR=1.340, 95% CI:1.171-1.533), with the establishment of health records and receipt of health education among elderly migrants. Interestingly, lower levels of family support ( OR=0.741, 95% CI:0.642-0.855) were associated with higher rates of health record establishment and health education receipt. A sense of social belonging ( OR=1.355, 95% CI:1.150-1.596) showed a positive correlation with health record establishment, while social cohesion ( OR=1.264, 95% CI:1.080-1.478) positively correlated with the receipt of health education. Conclusions:Currently, the rates of health record establishment and health education receipt among elderly migrants in China are less satisfactory. Most dimensions of social capital demonstrate positive associations with the utilization of basic public health services among this population.

Background Steel workers are exposed to occupational hazardous factors such as dust, noise, and heat, and often work in shifts, making them prone to sleep disorders. Objective To explore potential influencing factors of sleep disorders among workers in a steel enterprise in Gansu Province, and provide a basis for reducing the risk of sleep disorders among them. Methods From January to March 2022, a self-made questionnaire combined with the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the employees of a steel enterprise in Gansu Province. According to their PSQI scores, they were divided into a normal sleep group and a sleep disorder group. The general demographic variables of the two groups were balanced by 1∶1 propensity score matching (PSM). Multiple logistic regression was used to analyze the contributing factors of sleep disorders. Restricted cubic spline (RCS) model was used to analyze potential dose-response relationship between weekly working hours and sleep disorders. Results The prevalence of sleep disorders in the steel workers was 48.06% (6029/12544). After PSM, 5847 pairs were successfully matched, and the distributions of matched variables were well balanced between the two groups. The results of multiple logistic regression showed that hypertension (OR=1.39, 95%CI: 1.24, 1.56), diabetes mellitus (OR=1.34, 95%CI: 1.07, 1.66), three-shift system (OR=1.26, 95%CI: 1.12, 1.41), dust exposure (OR=1.14, 95%CI: 1.01, 1.29), noise exposure (OR=1.23, 95%CI: 1.09, 1.39), heat exposure (OR=1.16, 95%CI: 1.04, 1.29), and work injury (OR=1.22, 95%CI: 1.02, 1.46) increased the risk of sleep disorders. Compared with workers with < 10 years of service, those with 10-20 years (OR=1.31, 95%CI: 1.19, 1.44), 20-30 years (OR=1.34, 95%CI: 1.19, 1.52), and ≥30 years of service (OR=1.35, 95%CI: 1.19, 1.53) had a higher risk of sleep disorders. Compared with non-exercise workers, the risk of developing sleep disorders was lower in workers with occasional exercise (OR=0.61, 95%CI: 0.56, 0.66) and regular exercise (OR=0.55, 95%CI: 0.49, 0.62). The RCS model showed that the weekly working hours and sleep disorders in the steel workers showed a nonlinear dose-response relationship (P<0.05 for overall trend, P<0.05 for nonlinear test). The relationship between weekly working hours and sleep disorders showed a "U" shaped distribution, with a significant increase in the risk of sleep disorders when the weekly working hours exceeded 49 h. Conclusion The non-occupational influencing factors of sleep disorders of employees in the steel enterprise include hypertension, diabetes, physical exercise, and occupational influencing factors include length of service, weekly working hours, shifts, dust exposure, noise exposure, heat exposure, and work injuries. It is recommended to consider both occupational and non-occupational factors to formulate appropriate sleep disorder prevention and control measures for steel employees to reduce the risk of sleep disorders.

{L-End}Objective To analyze the correlation between occupational burnout and sleep quality among steelworkers. {L-End}Methods A total of 11 491 steelworkers from a large steel enterprise in Gansu Province were selected as the research subjects using convenient sampling method. The Burnout Questionnaire and the Pittsburgh Sleep Quality Index Scale were used to investigate their occupational burnout and sleep quality. Hierarchical regression analysis was used to analyze the effects of occupational burnout on the sleep quality. {L-End}Results The detection rate of occupational burnout and sleep disorder were 50.4% and 39.0%, respectively. There was a positive correlation between the level of occupational burnout and the total score of sleep quality (Spearman correlation coefficient=0.454, P<0.05). The results of hierarchical regression analysis, adjusting for confounding factors such as gender, age, marital status, education level, alcohol consumption, exercise, weekly working hours, seniority, work shift, noise exposure, dust exposure, and high-temperature work, showed that the score of occupational burnout was positively related to the score of sleep quality(P<0.01), explaining 16.0% of the variance in the score of sleep quality among these steelworkers. {L-End}Conclusion The detection rate of occupational burnout and sleep disorders are relatively high among the steelworkers in this enterprise. Higher levels of occupational burnout are associated with poorer sleep quality. Alleviating occupational burnout among steelworkers may contribute to improving their sleep quality.