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.

Objective:To investigate the influence of continuous infusion with long time on infusion precision of infusion pump,and establish a predictive model for flow velocity to predict the change of flow velocity of infusion pump after infusion with long time,so as to provide reference for the use of infusion pump in clinical treatment.Methods:Six infusion sets of different models,numbered A to F,were selected.A 24-hour continuous infusion experiment was conducted using an infusion pump with the above six infusion sets.The flow rate of the infusion pump was set to 100 mL/h,and real-time data of the infusion speed was recorded to evaluate the performance changes of the infusion pump under long-term continuous infusion.A flow rate prediction model for the infusion pump was established based on the research data,and the accuracy of the model was verified.Results:After 24 hours of continuous infusion,the infusion accuracy of infusion sets A to F showed varying degrees of decline over time.The final infusion accuracies were 96.47%,97.95%,92.56%,88.41%,89.26%,93.93%,respectively,with corresponding flow rate errors of 3.53%,2.05%,7.44%,11.59%,10.74%,6.07%.The prediction model established in this study was used to predict the flow rate of the infusion pump during 24-36 hours of continuous infusion.Compared with the actual flow rate under the same conditions,the difference was not statistically significant(P>0.05).Conclusion:Long-term continuous infusion affects the infusion accuracy of the infusion pump,resulting in a decrease in infusion speed.The established flow rate prediction model can accurately predict the flow rate of the infusion pump after long-term continuous infusion,providing a useful reference for the clinical application of infusion pumps.

Objective:To investigate the effects and underlying mechanisms of the hypoxia-inducible factor-1α (HIF-1α) agonist Roxadustat in alleviating pulmonary ischemia-reperfusion injury (IRI) in mice.Method:This study consisted of both in vivo and in vitro experiments. Thirty-six male C57/BL6 mice (6~8 weeks old) were used. In the animal experiments, 20 mice underwent left pulmonary artery ligation to establish the IRI model and were divided into reperfusion groups of 0, 1, 2, or 4 hours (IR-0/1/2/4 h, n=4 each), with a sham group ( n=4) as control. Temporal and spatial changes in pulmonary HIF-1α expression were analyzed. Another 16 mice were randomized into four groups: sham ( n=4), I/R+vehicle (DMSO, n=4), and I/R+Roxadustat treatment at 25 mg/kg or 50 mg/kg (I/R+ROX-LD, I/R+ROX-HD, n=4 each). Roxadustat or DMSO was administered intraperitoneally once daily for 5 days before surgery. Lung injury, inflammation, and endothelial apoptosis were subsequently assessed. In the cell experiments, human umbilical vein endothelial cell (HUVEC) was subjected to hypoxia-reoxygenation (H/R) to determine the time course of HIF-1α expression. Cells pretreated with Roxadustat (25 μmol) were then exposed to H/R, and HIF-1α expression and apoptosis were analyzed. To verify the role of HIF-1α, siRNA knockdown of HIF-1α mRNA was performed before Roxadustat pretreatment and H/R exposure. Result:In vivo, pulmonary HIF-1α mRNA expression increased progressively after reperfusion, while protein expression peaked early and subsequently declined ( P<0.05). Immunofluorescence staining revealed HIF-1α predominantly localized to pulmonary endothelial cells following I/R. Compared with the I/R+DMSO group, Roxadustat (both doses) upregulated HIF-1α expression in lung tissue. In vitro, HIF-1α mRNA expression increased continuously after H/R, while protein levels first rose and then decreased ( P<0.05). Roxadustat pretreatment upregulated Bcl-2 and downregulated Bax and cleaved caspase-3 compared with the H/R group ( P<0.05). HIF-1α knockdown reversed these effects, resulting in decreased Bcl-2 and increased Bax and cleaved caspase-3 expression relative to the Roxadustat-treated group. Conclusion:The HIF-1α agonist Roxadustat inhibits vascular endothelial apoptosis, alleviates endothelial injury, reduces inflammatory cell infiltration in lung tissue, and lowers inflammatory responses in mice with pulmonary ischemia-reperfusion injury.

Objective:To investigate the efficacy and safety of intravesical injections of botulinum toxin A (BTX-A) for the treatment of pediatric refractory urinary frequency and incontinence (UFI), and to analyze the factors predicting the therapeutic effect of BTX-A injections.Methods:A retrospective case series study was made on 35 children with UFI [(12.3±4.2) years old], including 13 males (37.1%) and 22 females (62.9%), treated in the First Affiliated Hospital of Zhengzhou University from January 2021 to March 2024.Urotherapy and drug treatments were ineffective in all children, who then received intravesical injections of BTX-A.The urodynamic study (UDS) was performed 1 week before treatment and 3 months after treatment, and the Overactive Bladder Symptom Score (OABSS) and Incontinence Quality of Life (I-QOL) were collected.Perioperative and postoperative adverse events were also recorded.A global response assessment (GRA) score of ≥2 at 3 months postoperatively was defined as effective treatment.According to the postoperative GRA score, the patients were divided into effective and ineffective groups to explore the predictive factors affecting the outcome of BTX-A treatment, such as age, gender, preoperative urodynamic parameters, and the types of urinary incontinence. t-test was used to compare quantitative data such as age, UDS parameters, OABSS, and I-QOL scores.The comparison of count data such as gender and urinary incontinence types was conducted using Fisher′s exact test. Results:The bladder compliance, bladder capacity ratio, OABSS and I-QOL scores of patients significantly improved after BTX-A injection (all P<0.05).The 77.1% (27/35) of the patients were satisfied with BTX-A treatment effects.The main adverse event during the follow-up was a temporary increase in postvoid residual urine after injecting BTX-A (7 cases), which was alleviated by the Creade action or clean intermittent catheterization.There was significant difference in age [(13.00±4.32) years vs.(10.00±2.67) years] and preoperative bladder compliance [(11.21±5.74) mL/cmH 2O vs.(5.13±2.42) mL/cmH 2O] between effective (27 cases) and ineffective groups (8 cases) ( t=2.383, 2.899, all P<0.05).The differences in preoperative bladder capacity ratio, maximum filling detrusor pressure, postvoid residual urine, voiding efficiency, gender, and the types of urinary incontinence were not statistically significant between the two groups (all P>0.05). Conclusions:Intravesical injection of BTX-A is a safe and effective treatment for children with refractory UFI.A young age and poor bladder compliance at treatment are associated with poor prognosis of BTX-A treatment.

OBJECTIVE To analyze the comprehensive intervention measures to raise the etiological submission rate for hospitalized patients before antimicrobial treatment and evaluate the effect.METHODS The hospitalized pa-tients who were treated with therapeutic antibiotics in the Affiliated Hospital of Inner Mongolia Medical University from Jan.2023 to Jun.2023 were assigned as the exploratory analysis phase,the hospitalized patients who were treated with therapeutic antibiotics from Jul.2023 to Dec.2023 were assigned as the first post-intervention phase,and the hospitalized patients who were treated with therapeutic antibiotics from Jan.2024 to Mar.2024 were as-signed as the second post-intervention phase.The related indexes for etiological submission rate before the antimi-crobial treatment were compared before and after the intervention.RESULTS After the comprehensive interven-tion,the etiological submission rate of the entire hospital before the antimicrobial treatment was increased from 28.30％to 42.22％in the first post-intervention phase and 55.86％in the second post-intervention phase.The etio-logical submission rate with respect to diagnosis of hospital-associated infection was increased from 68.34％before the intervention to 85.85％in the first post-intervention phase and 94.58％in the second post-intervention phase.The incidence of hospital-associated infection showed a slight downward trend,dropping from 1.51％to 1.27％in the first post-intervention phase and 1.11％in the second post-intervention phase.The proportion of submission of sterile samples showed a slight upward trend,which was 26.13％before the intervention,29.57％in the first post-intervention phase,28.96％in the second post-intervention phase.There were significant differences in the a-bove indexes(P＜0.05).The etiological submission rate before the combined use of key drugs was increased from 84.71％to 85.95％in the first post-intervention phase and 88.33％in the second post-intervention phase,and there was no significant difference.CONCLUSIONS The etiological submission rate of the hospitalized patients be-fore the antimicrobial treatment is remarkably raised by taking the comprehensive intervention measures,but the etiological submission rate before the combined use of key drugs does not meet the standard,the proportion of submission of the sterile samples is not remarkably raised.It is necessary to continuously complete the intervention measures in the next phase.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To provide theoretical basis for the clinical application of the rational compatibility of C. odorata by studying the related domestic and international literature and explore the properties of C. odorata according to the theory of Traditional Chinese Medicine. Methods The medical literature related to C. odorata was retrieved and screened from CNKI, VIP, Wanfang Data, China Biomedical Literature Database and foreign literature databases such as PubMed, Web of Science, Scopus, Embase, and SciFinder. A total of 397 English articles and 50 Chinese articles were included in the study, which were systematically classified according to clinical application, chemical composition, pharmacological effect, toxic and side effects, and were analyzed according to the theory of Traditional Chinese Medicine. Results C. odorata features spicy, astringent tastes, a cool nature, entering heart and liver meridians, and a slightly toxic.Its functions included astringing to stop bleeding, detoxifying and promoting tissue regeneration, as well as intercepting malaria and killing parasites. It was used for conditions such as hematemesis, haemoptysis, traumatic bleeding, sores and abscesses, malaria, and leech bites. Conclusion The exploration of the properties and efficacy of C. odorata could provide reference for its clinical research and application in Traditional Chinese Medicine.

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.