Objective: To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression. Methods: A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression. Results: The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%. Conclusions NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.

Objective To explore how to enhance the quality and efficiency of ethics committee operations based on an information management system.Methods This study analyzes the challenges in the ethical review of Investigator Initiated Trials(IIT)and compares existing ethics review systems in China.Using a tertiary hospital as an example,the paper details the practi-cal impact of an information management system for improving the management level of the ethics committee office and the effi-ciency of project reviews.Results The ethics review information management system evolved from basic usage and initial ethics review functions to include ethics tracking review and meeting review capabilities,offering comprehensive functionality.Conclu-sion The information management system enhances the efficiency of ethical review processes,but ongoing optimization is neces-sary to better align with the needs of clinical research in medical institutions.

Objective To explore how to enhance the quality and efficiency of ethics committee operations based on an information management system.Methods This study analyzes the challenges in the ethical review of Investigator Initiated Trials(IIT)and compares existing ethics review systems in China.Using a tertiary hospital as an example,the paper details the practi-cal impact of an information management system for improving the management level of the ethics committee office and the effi-ciency of project reviews.Results The ethics review information management system evolved from basic usage and initial ethics review functions to include ethics tracking review and meeting review capabilities,offering comprehensive functionality.Conclu-sion The information management system enhances the efficiency of ethical review processes,but ongoing optimization is neces-sary to better align with the needs of clinical research in medical institutions.

Objective:To explore the causal relationship between human circulating inflammatory proteins and pressure injury (PI) mediated by human blood metabolites.Methods:This study employed a method of analysis based on mediated Mendelian randomization (MR). Genome-wide association study data of 91 human circulating inflammatory proteins (14 824 samples), 1 400 human blood metabolites (8 299 samples), and PI (467 794 samples) were retrieved. A significance threshold was established and single nucleotide polymorphisms (SNPs) were used as instrumental variables with the influence of weak instrumental variables excluded. Forward two-sample MR (TSMR) was employed to analyze the causal relationship between circulating inflammatory proteins and PI. The inverse variance weighted (IVW) method served as the primary approach, and the results were validated using the weighted median method, MR-Egger regression, weighted mode method, and simple mode method (the specific analytical methods were the same below). For the SNPs of selected circulating inflammatory proteins, sensitivity analysis was employed, including heterogeneity which was evaluated by the Cochran Q test, horizontal pleiotropy which was evaluated by the MR-Egger intercept test and MR-PRESSO outlier test, and reliability which was evaluated via leave-one-out analysis. Based on reverse TSMR analysis, the IVW method, MR-Egger regression, weighted median method, simple mode method, and weighted mode method were employed to evaluate whether a reverse causal relationship exists between PI and the selected circulating inflammatory proteins. Forward TSMR was employed to analyze the causal relationship between selected circulating inflammatory proteins and 1 400 blood metabolites and to select the blood metabolites. For the SNPs of selected circulating inflammatory proteins, sensitivity analysis was employed as before. Forward TSMR was employed to analyze the causal relationship between selected blood metabolites and PI. For the SNPs of selected blood metabolites, sensitivity analysis was employed as before (except for the leave-one-out analysis). Finally, the mediation effect values and mediation effect ratios of selected blood metabolites in the mediation effect between selected circulating inflammatory proteins and PI were calculated. Results:Five circulating inflammatory proteins and 59 blood metabolites were identified as meeting the exposure factor criteria, with the number of SNPs reaching the significance threshold ranging from 16 to 1 484. All the SNPs were confirmed as strong instrumental variables. The IVW method revealed significant causal relationships between interleukin-33 (IL-33), CUB domain-containing protein 1, IL-5, stem cell factor, and tumor necrosis factor and PI (with odds ratios of 1.29, 1.20, 1.25, 1.16, and 1.23, respectively, 95% confidence intervals of 1.07-1.55, 1.05-1.36, 1.04-1.51, 1.00-1.34, and 1.03-1.47, respectively, P<0.05). The weighted median method confirmed significant causal relationships between IL-33 and IL-5 and PI (with odds ratios of 1.37 and 1.37, respectively, 95% confidence intervals of 1.05-1.79 and 1.04-1.80, respectively, P<0.05). Among these, the most significant causal relationship was observed between IL-33 and PI ( P<0.01). The Cochran Q test indicated no significant heterogeneity in the SNPs of IL-33 which had significant causal relationship with PI ( Q=18.78, P>0.05). The MR-Egger intercept test (with intercept absolute value <0.001, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 20.37, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of IL-33 which had significant causal relationship with PI. The leave-one-out analysis showed that the significant causal relationship between IL-33 and PI was reliable after removing the SNPs one by one. No significant reverse causal relationships were observed between PI and IL-33 through the IVW method, MR-Egger regression, weighted median method, simple mode method, or weighted mode method (with odds ratios of 1.00, 1.00, 1.00, 1.00, and 1.01, respectively, 95% confidence intervals of 0.98-1.02, 0.96-1.03, 0.97-1.03, 0.93-1.08, and 0.94-1.09, respectively, P>0.05). The IVW method revealed significant causal relationships between IL-33 and 59 blood metabolites (with odds ratios of 0.79-1.20, 95% confidence intervals lower limit range of 0.70-1.07 and upper limit range of 0.89-1.37, P<0.05). The MR-Egger regression and weighted median method confirmed significant causal relationships between IL-33 and 8 and 10 blood metabolites, respectively (with odds ratios of 0.63-1.70 and 0.82-1.21, respectively, 95% confidence intervals lower limit ranges of 0.43-1.29 and 0.70-1.14, respectively, 95% confidence intervals upper limit ranges of 0.94-2.25 and 0.97-1.42, respectively, P values all <0.05). Among these, the most significant causal relationship was observed between blood metabolite X-12798 and IL-33 (with odds ratio of 0.79, 95% confidence interval of 0.70-0.89, P<0.05). The Cochran Q test indicated no significant heterogeneity in the SNPs of IL-33 which had significant causal relationship with blood metabolite X-12798 ( Q=24.94, P>0.05). The MR-Egger intercept test (with intercept absolute value of 0.012, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 27.45, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of IL-33 which had significant causal relationship with blood metabolite X-12798. The leave-one-out analysis showed that the significant causal relationship between IL-33 and blood metabolite X-12798 was reliable after removing the SNPs one by one. The IVW method revealed significant causal relationship between blood metabolite X-12798 and PI (with odds ratio of 0.92, 95% confidence interval of 0.84-0.99, P<0.05). The MR-Egger regression and weighted median method both confirmed significant causal relationship between blood metabolite X-12798 and PI (with odds ratios of 0.87 and 0.89, respectively, 95% confidence intervals of 0.77-0.98 and 0.80-0.99, respectively, P<0.05). The Cochran Q test indicated no significant heterogeneity in the SNPs of blood metabolite X-12798 which had significant causal relationship with PI ( Q=23.45, P>0.05). The MR-Egger intercept test (with intercept absolute value of 0.015, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 26.01, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of blood metabolite X-12798 which had significant causal relationship with PI. The mediation effect value was 0.02 and the mediation effect ratio was 8.27%. Conclusions:Significant causal relationships are observed among human circulating inflammatory proteins, blood metabolites, and PI, with the association between circulating inflammatory protein IL-33 and PI being mediated by blood metabolite X-12798.

Objective:To explore the causal relationship between human circulating inflammatory proteins and pressure injury (PI) mediated by human blood metabolites.Methods:This study employed a method of analysis based on mediated Mendelian randomization (MR). Genome-wide association study data of 91 human circulating inflammatory proteins (14 824 samples), 1 400 human blood metabolites (8 299 samples), and PI (467 794 samples) were retrieved. A significance threshold was established and single nucleotide polymorphisms (SNPs) were used as instrumental variables with the influence of weak instrumental variables excluded. Forward two-sample MR (TSMR) was employed to analyze the causal relationship between circulating inflammatory proteins and PI. The inverse variance weighted (IVW) method served as the primary approach, and the results were validated using the weighted median method, MR-Egger regression, weighted mode method, and simple mode method (the specific analytical methods were the same below). For the SNPs of selected circulating inflammatory proteins, sensitivity analysis was employed, including heterogeneity which was evaluated by the Cochran Q test, horizontal pleiotropy which was evaluated by the MR-Egger intercept test and MR-PRESSO outlier test, and reliability which was evaluated via leave-one-out analysis. Based on reverse TSMR analysis, the IVW method, MR-Egger regression, weighted median method, simple mode method, and weighted mode method were employed to evaluate whether a reverse causal relationship exists between PI and the selected circulating inflammatory proteins. Forward TSMR was employed to analyze the causal relationship between selected circulating inflammatory proteins and 1 400 blood metabolites and to select the blood metabolites. For the SNPs of selected circulating inflammatory proteins, sensitivity analysis was employed as before. Forward TSMR was employed to analyze the causal relationship between selected blood metabolites and PI. For the SNPs of selected blood metabolites, sensitivity analysis was employed as before (except for the leave-one-out analysis). Finally, the mediation effect values and mediation effect ratios of selected blood metabolites in the mediation effect between selected circulating inflammatory proteins and PI were calculated. Results:Five circulating inflammatory proteins and 59 blood metabolites were identified as meeting the exposure factor criteria, with the number of SNPs reaching the significance threshold ranging from 16 to 1 484. All the SNPs were confirmed as strong instrumental variables. The IVW method revealed significant causal relationships between interleukin-33 (IL-33), CUB domain-containing protein 1, IL-5, stem cell factor, and tumor necrosis factor and PI (with odds ratios of 1.29, 1.20, 1.25, 1.16, and 1.23, respectively, 95% confidence intervals of 1.07-1.55, 1.05-1.36, 1.04-1.51, 1.00-1.34, and 1.03-1.47, respectively, P<0.05). The weighted median method confirmed significant causal relationships between IL-33 and IL-5 and PI (with odds ratios of 1.37 and 1.37, respectively, 95% confidence intervals of 1.05-1.79 and 1.04-1.80, respectively, P<0.05). Among these, the most significant causal relationship was observed between IL-33 and PI ( P<0.01). The Cochran Q test indicated no significant heterogeneity in the SNPs of IL-33 which had significant causal relationship with PI ( Q=18.78, P>0.05). The MR-Egger intercept test (with intercept absolute value <0.001, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 20.37, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of IL-33 which had significant causal relationship with PI. The leave-one-out analysis showed that the significant causal relationship between IL-33 and PI was reliable after removing the SNPs one by one. No significant reverse causal relationships were observed between PI and IL-33 through the IVW method, MR-Egger regression, weighted median method, simple mode method, or weighted mode method (with odds ratios of 1.00, 1.00, 1.00, 1.00, and 1.01, respectively, 95% confidence intervals of 0.98-1.02, 0.96-1.03, 0.97-1.03, 0.93-1.08, and 0.94-1.09, respectively, P>0.05). The IVW method revealed significant causal relationships between IL-33 and 59 blood metabolites (with odds ratios of 0.79-1.20, 95% confidence intervals lower limit range of 0.70-1.07 and upper limit range of 0.89-1.37, P<0.05). The MR-Egger regression and weighted median method confirmed significant causal relationships between IL-33 and 8 and 10 blood metabolites, respectively (with odds ratios of 0.63-1.70 and 0.82-1.21, respectively, 95% confidence intervals lower limit ranges of 0.43-1.29 and 0.70-1.14, respectively, 95% confidence intervals upper limit ranges of 0.94-2.25 and 0.97-1.42, respectively, P values all <0.05). Among these, the most significant causal relationship was observed between blood metabolite X-12798 and IL-33 (with odds ratio of 0.79, 95% confidence interval of 0.70-0.89, P<0.05). The Cochran Q test indicated no significant heterogeneity in the SNPs of IL-33 which had significant causal relationship with blood metabolite X-12798 ( Q=24.94, P>0.05). The MR-Egger intercept test (with intercept absolute value of 0.012, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 27.45, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of IL-33 which had significant causal relationship with blood metabolite X-12798. The leave-one-out analysis showed that the significant causal relationship between IL-33 and blood metabolite X-12798 was reliable after removing the SNPs one by one. The IVW method revealed significant causal relationship between blood metabolite X-12798 and PI (with odds ratio of 0.92, 95% confidence interval of 0.84-0.99, P<0.05). The MR-Egger regression and weighted median method both confirmed significant causal relationship between blood metabolite X-12798 and PI (with odds ratios of 0.87 and 0.89, respectively, 95% confidence intervals of 0.77-0.98 and 0.80-0.99, respectively, P<0.05). The Cochran Q test indicated no significant heterogeneity in the SNPs of blood metabolite X-12798 which had significant causal relationship with PI ( Q=23.45, P>0.05). The MR-Egger intercept test (with intercept absolute value of 0.015, P>0.05) and MR-PRESSO outlier test (with RSSobs value of 26.01, P>0.05) both indicated no significant horizontal pleiotropy in the SNPs of blood metabolite X-12798 which had significant causal relationship with PI. The mediation effect value was 0.02 and the mediation effect ratio was 8.27%. Conclusions:Significant causal relationships are observed among human circulating inflammatory proteins, blood metabolites, and PI, with the association between circulating inflammatory protein IL-33 and PI being mediated by blood metabolite X-12798.

Background Fatigue driving is an important cause of road traffic accidents in modern society, and the fatigue condition of heavy-duty commercial truck drivers has attracted widespread attention. Research on the fatigue status and influencing factors of heavy-duty commercial truck drivers in China is relatively rare at present. Objective To analyze the main characteristics of fatigue among heavy-duty commercial truck drivers and the impacts of factors such as working hours, insomnia, and occupational burnout on their fatigue status. Methods Using cluster sampling method, a cross-sectional study was conducted from July to August 2023, enrolling heavy-duty commercial truck drivers in long-distance freight logistics markets (stations) located in three administrative regions of W City, Xinjiang Uygur Autonomous Region. A self-designed questionnaire was used to collect demographic and occupational characteristics of heavy-duty commercial truck drivers, and the Chinese versions of Fatigue Scale-14 (FS-14), Athens Insomnia Scale (AIS), and Maslach Burnout Inventory General Survey (MBI-GS) were used to evaluate their fatigue, insomnia, and occupational burnout status, respectively. Mann-Whitney U test and Kruskal-Walls H test were used to compare intergroup differences, and Spearman correlation coefficient was used to analyze the correlation between variables. Hierarchical regression models were used to study the impacts of selected variables on fatigue status. Results This study obtained 311 valid questionnaires, with a valid recovery rate of 88.86% (311/350). The physical fatigue, mental fatigue, and total fatigue scores of the survey subjects in M (P₂₅, P₇₅) were 3.00 (2.00, 4.00), 2.00 (1.00, 3.00), and 5.00 (4.00, 6.00), respectively. The comparison results showed that, except for smoking, there were statistically significant differences in total fatigue scores between different groups of age, marital status, number of children, educational level, service length of freight transportation, average daily working time, and average monthly income (P<0.05). The difference in total fatigue score among the groups without sleep disorders, with suspected insomnia, and with insomnia was statistically significant (P<0.001). The difference in total fatigue score among the groups without occupational burnout, with moderate occupational burnout, and with severe occupational burnout was also statistically significant (P<0.001). Positive correlations were found between insomnia score and scores of physical fatigue (r_s=0.507), mental fatigue (r_s=0.547), and total fatigue (r_s=0.618) (P<0.001). Hierarchical regression models revealed that having more children, extended daily working hours, insomnia, and increased scores of decreased personal accomplishment were negative factors affecting the fatigue status of heavy-duty commercial truck drivers (P<0.05), and the final regression equation was: total fatigue score=7.579+0.581×number of children+0.916×average daily working time+0.434×score of AIS+0.754×score of reduced personal accomplishment. Conclusion The fatigue status of heavy-duty commercial truck drivers is not optimistic. An increase in the number of children, extended daily working hours, severe insomnia symptoms, and increased scores of decreased personal accomplishment associate with their worse fatigue status.

Objective To analyze the problems existing in the homogenization management of multi-branch hospitals based on the annual performance assessment data,and provide reference for promoting the high-quality development of public hospital branch districts.Methods Based on the Performance Assessment Operation Manual of National Tertiary Public Hospitals(2022 edition),10 indicators including the proportion of discharged patients undergoing surgery and the proportion of fourth-level surgery were screened,and the functional positioning,quality and safety,revenue and expenditure structure,and cost control of 4 hospitals of a certain medical institution from 2022 to 2023 were descriptively analyzed.Results The CMI value and the proportion of discharged surgery in the main hospital were significantly better than those in the branch hospitals,and there was no significant difference in the medical quality indicators of the four hospitals,and the operation efficiency of the branch hospital with outstanding specialty characteristics was better than that of other hospitals.Conclusion Public hospitals pay more attention to the"big specialty,small comprehensive"mode in the layout of branch districts,pay more attention to the quality control management at the specialty level in medical quality management,and strengthen the benefit analysis of different hospitals in the same specialty in operation management.

Objective To analyze the problems existing in the homogenization management of multi-branch hospitals based on the annual performance assessment data,and provide reference for promoting the high-quality development of public hospital branch districts.Methods Based on the Performance Assessment Operation Manual of National Tertiary Public Hospitals(2022 edition),10 indicators including the proportion of discharged patients undergoing surgery and the proportion of fourth-level surgery were screened,and the functional positioning,quality and safety,revenue and expenditure structure,and cost control of 4 hospitals of a certain medical institution from 2022 to 2023 were descriptively analyzed.Results The CMI value and the proportion of discharged surgery in the main hospital were significantly better than those in the branch hospitals,and there was no significant difference in the medical quality indicators of the four hospitals,and the operation efficiency of the branch hospital with outstanding specialty characteristics was better than that of other hospitals.Conclusion Public hospitals pay more attention to the"big specialty,small comprehensive"mode in the layout of branch districts,pay more attention to the quality control management at the specialty level in medical quality management,and strengthen the benefit analysis of different hospitals in the same specialty in operation management.

Objective To analyze the problems existing in the homogenization management of multi-branch hospitals based on the annual performance assessment data,and provide reference for promoting the high-quality development of public hospital branch districts.Methods Based on the Performance Assessment Operation Manual of National Tertiary Public Hospitals(2022 edition),10 indicators including the proportion of discharged patients undergoing surgery and the proportion of fourth-level surgery were screened,and the functional positioning,quality and safety,revenue and expenditure structure,and cost control of 4 hospitals of a certain medical institution from 2022 to 2023 were descriptively analyzed.Results The CMI value and the proportion of discharged surgery in the main hospital were significantly better than those in the branch hospitals,and there was no significant difference in the medical quality indicators of the four hospitals,and the operation efficiency of the branch hospital with outstanding specialty characteristics was better than that of other hospitals.Conclusion Public hospitals pay more attention to the"big specialty,small comprehensive"mode in the layout of branch districts,pay more attention to the quality control management at the specialty level in medical quality management,and strengthen the benefit analysis of different hospitals in the same specialty in operation management.

Objective To analyze the problems existing in the homogenization management of multi-branch hospitals based on the annual performance assessment data,and provide reference for promoting the high-quality development of public hospital branch districts.Methods Based on the Performance Assessment Operation Manual of National Tertiary Public Hospitals(2022 edition),10 indicators including the proportion of discharged patients undergoing surgery and the proportion of fourth-level surgery were screened,and the functional positioning,quality and safety,revenue and expenditure structure,and cost control of 4 hospitals of a certain medical institution from 2022 to 2023 were descriptively analyzed.Results The CMI value and the proportion of discharged surgery in the main hospital were significantly better than those in the branch hospitals,and there was no significant difference in the medical quality indicators of the four hospitals,and the operation efficiency of the branch hospital with outstanding specialty characteristics was better than that of other hospitals.Conclusion Public hospitals pay more attention to the"big specialty,small comprehensive"mode in the layout of branch districts,pay more attention to the quality control management at the specialty level in medical quality management,and strengthen the benefit analysis of different hospitals in the same specialty in operation management.