Objective To establish a quantifiable quality control index system for infection management in neonatal specialty hospitals for the comprehensive evaluation of neonatal healthcare-associated infection(HAI)management quality,and to promote the continuous enhancement and improvement of neonatal HAI management quality.Methods The framework of the index system was preliminarily established through literature research and focus group discussion,the indexes were repeatedly screened using Delphi expert consultation approach,and the weights of each index were determined using the analytic hierarchy process.The empirical study of the established index sys-tem was conducted using TOPSIS method and rank sum ratio method.Results Three rounds of expert consultation were conducted,and the effective response rate of the questionnaire was 100％.The authoritative coefficient of the third round of expert consultation was 0.89,and the Kendall's coefficient of concordance for expert opinion was 0.322.The established index system included 3 first-level indexes,6 second-level indexes,and 16 third-level inde-xes.Thirteen of third-level indexes could be directly obtained from the hospital information system.Conclusion The quality control index system for neonatal HAI management established in this study is relatively scientific,with rational weights and all quantifiable indexes.It can be used for vertical and horizontal evaluations of neonatal HAI management quality,providing a reference for the continuous improvement of neonatal HAI management work.

Objective To establish a quantifiable quality control index system for infection management in neonatal specialty hospitals for the comprehensive evaluation of neonatal healthcare-associated infection(HAI)management quality,and to promote the continuous enhancement and improvement of neonatal HAI management quality.Methods The framework of the index system was preliminarily established through literature research and focus group discussion,the indexes were repeatedly screened using Delphi expert consultation approach,and the weights of each index were determined using the analytic hierarchy process.The empirical study of the established index sys-tem was conducted using TOPSIS method and rank sum ratio method.Results Three rounds of expert consultation were conducted,and the effective response rate of the questionnaire was 100％.The authoritative coefficient of the third round of expert consultation was 0.89,and the Kendall's coefficient of concordance for expert opinion was 0.322.The established index system included 3 first-level indexes,6 second-level indexes,and 16 third-level inde-xes.Thirteen of third-level indexes could be directly obtained from the hospital information system.Conclusion The quality control index system for neonatal HAI management established in this study is relatively scientific,with rational weights and all quantifiable indexes.It can be used for vertical and horizontal evaluations of neonatal HAI management quality,providing a reference for the continuous improvement of neonatal HAI management work.

Objective To analyze the risk factors of nosocomial infection among the patients in neuro-surgical ICU,and to construct the risk prediction model to provide reference for the prediction of nosocomial infection in neurosurgical ICU patients.Methods The clinical data of 280 patients admitted and treated in the neurosurgery ICU of this hospital from January 2021 to December 2022 were retrospectively analyzed.The pa-tients were divided into the infection group and non-infection group based on whether or not nosocomial infec-tion occurring,140 cases in each group.A total of 196 patients were extracted as the training set by a ratio of 7︰3 for constructing the model,while the remaining 84 patients served as the validation set for conducting the internal verification.The logistic regression was used to analyze the risk factors of nosocomial infection in the neurosurgery ICU patients,and a predictive model was established.The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive effect of the model.Results The multivariate logistic re-gression analysis indicated that old age,long surgery time,catheter use and glucocorticoids use were screened as the main risk factors of nosocomial infection occurrence in neurosurgery ICU patients.The nomogram mod-el was constructed based on the results of multivariate analysis,the area under the curve of training set and validation set were 0.796 and 0.875,respectively.The correcting model reflected good consistency between actual diagnosis and predictive diagnosis.Conclusion The model constructed in this study has the high predic-tive value for the nosocomial infection occurrence risk in the patients of the neurosurgery ICU.

Purpose: Temozolomide is used in first-line treatment for glioblastoma. However, chemoresistance to temozolomide is common in glioma patients. In addition, mechanisms for the anti-tumor effects of temozolomide are largely unknown. Ferroptosis is a form of programmed cell death triggered by disturbed redox homeostasis, overloaded iron, and increased lipid peroxidation. The present study was performed to elucidate the involvement of ferroptosis in the anti-tumor mechanisms of temozolomide. Materials and Methods: We utilized the CCK8 assay to evaluate cytotoxicity. Levels of lactate dehydrogenase (LDH), malondialdehyde (MDA), iron, and glutathione (GSH) were measured. Flow cytometry and fluorescence microscope were used to detect the production of reactive oxygen species (ROS). Western blotting, RT-PCR and siRNA transfection were used to investigate molecular mechanisms. Results: Temozolomide increased the levels of LDH, MDA, and iron and reduced GSH levels in TG905 cells. Furthermore, we found that ROS levels and DMT1 expression were elevated in TG905 cells treated with temozolomide and were accompanied by a decrease in the expression of glutathione peroxidase 4, indicating an iron-dependent cell death, ferroptosis. Our results also showed that temozolomide-induced ferroptosis is associated with regulation of the Nrf2/HO-1 pathway. Conversely, DMT1 knockdown by siRNA evidently blocked temozolomide-induced ferroptosis in TG905 cells. Conclusion Taken together, our findings indicate that temozolomide may suppress cell growth partly by inducing ferroptosis by targeting DMT1 expression in glioblastoma cells.

Purpose: Temozolomide is used in first-line treatment for glioblastoma. However, chemoresistance to temozolomide is common in glioma patients. In addition, mechanisms for the anti-tumor effects of temozolomide are largely unknown. Ferroptosis is a form of programmed cell death triggered by disturbed redox homeostasis, overloaded iron, and increased lipid peroxidation. The present study was performed to elucidate the involvement of ferroptosis in the anti-tumor mechanisms of temozolomide. Materials and Methods: We utilized the CCK8 assay to evaluate cytotoxicity. Levels of lactate dehydrogenase (LDH), malondialdehyde (MDA), iron, and glutathione (GSH) were measured. Flow cytometry and fluorescence microscope were used to detect the production of reactive oxygen species (ROS). Western blotting, RT-PCR and siRNA transfection were used to investigate molecular mechanisms. Results: Temozolomide increased the levels of LDH, MDA, and iron and reduced GSH levels in TG905 cells. Furthermore, we found that ROS levels and DMT1 expression were elevated in TG905 cells treated with temozolomide and were accompanied by a decrease in the expression of glutathione peroxidase 4, indicating an iron-dependent cell death, ferroptosis. Our results also showed that temozolomide-induced ferroptosis is associated with regulation of the Nrf2/HO-1 pathway. Conversely, DMT1 knockdown by siRNA evidently blocked temozolomide-induced ferroptosis in TG905 cells. Conclusion Taken together, our findings indicate that temozolomide may suppress cell growth partly by inducing ferroptosis by targeting DMT1 expression in glioblastoma cells.

During virus infection, viral RNAs and mRNAs function as blueprints for viral protein synthesis and possibly as pathogen-associated molecular patterns (PAMPs) in innate immunity. Here, considering recent research progress in microRNAs (miRNAs) and competitive endogenous RNAs (ceRNAs), we speculate that viral RNAs act as sponges and can sequester endogenous miRNAs within infected cells, thus cross-regulating the stability and translational efficiency of host mRNAs with shared miRNA response elements. This cross-talk and these reciprocal interactions between viral RNAs and host mRNAs are termed "competitive viral and host RNAs" (cvhRNAs). We further provide recent experimental evidence for the existence of cvhRNAs networks in hepatitis B virus (HBV), as well as Herpesvirus saimiri (HVS), lytic murine cytomegalovirus (MCMV) and human cytomegalovirus (HCMV) infections. In addition, the cvhRNA hypothesis also predicts possible cross-regulation between host and other viruses, such as hepatitis C virus (HCV), HIV, influenza virus, human papillomaviruses (HPV). Since the interaction between miRNAs and viral RNAs also inevitably leads to repression of viral RNA function, we speculate that virus may evolve either to employ cvhRNA networks or to avoid miRNA targeting for optimal fitness within the host. CvhRNA networks may therefore play a fundamental role in the regulation of viral replication, infection establishment, and viral pathogenesis.
Animals ; DNA Viruses ; genetics ; physiology ; Host-Pathogen Interactions ; physiology ; Humans ; MicroRNAs ; metabolism ; RNA Viruses ; genetics ; physiology ; RNA, Messenger ; metabolism ; RNA, Viral ; metabolism ; Virus Diseases ; immunology ; physiopathology ; virology ; Virus Replication