Objective To explore the potential mechanism underlying the treatment of pediatric asthma using Xiaoer Zhixiao Pingchuan Granules through network pharmacology analysis and animal experimental validation.Methods Active components and their associated targets in Xiaoer Zhixiao Pingchuan Granules were identified through screening and retrieval of TCMSP,BATMAN-TCM,and UniProt databases.Disease-related targets for pediatric asthma were selected from GeneCards,DisGeNET,and OMIM databases.The target protein-protein interaction(PPI)relationship between the intersecting targets of the two was obtained through the STRING database,and import it into Cytoscape 3.8.0 software to construct a PPI network.GO and KEGG enrichment analyses were conducted using the Metascape platform to identify potential pathways.An asthmatic mouse model was induced by ovalbumin,and different concentrations of Xiaoer Zhixiao Pingchuan Granules were administered as interventions.Histopathological changes were evaluated using HE staining and PAS staining,and the network pharmacology findings were validated through Western blot analysis.Results A total of 154 active ingredients targeting 283 pediatric asthma-related genes were identified in Xiaoer Zhixiao Pingchuan Granules.KEGG enrichment analyses revealed significant enrichment of signaling pathways such as the PI3K-Akt signaling pathway,TNF signaling pathway,and MAPK signaling pathway among intersection targets.Thirteen key targets were identified through topological analysis of ingredients-targets-pathways network.Animal experiments demonstrated that Xiaoer Zhixiao Pingchuan Granules significantly alleviated ovalbumin-induced airway inflammation and goblet cell hyperplasia,while downregulating the expression of key proteins in the PI3K-Akt signaling pathway(P<0.05).Conclusion The therapeutic efficacy of Xiaoer Zhixiao Pingchuan Granules in pediatric asthma involves a multi-pathway and multi-target mechanism,with the PI3K-Akt signaling pathway emerging as a potential key molecular target.

Objective:To investigate the predictive value of serum uric acid/albumin ratio (sUAR) for acute kidney injury (AKI) after cardiac valve surgery.Methods:The clinical data of adult patients undergoing cardiac valve surgery under cardiopulmonary bypass from January 2021 to December 2021 from the Heart Center of Henan Provincial People's Hospital were collected retrospectively, and the sUAR was calculated. All patients were divided into AKI group and non-AKI group according to whether AKI occurred within 7 days after cardiac valve surgery, and the differences of clinical data between the two groups were compared. Multivariate logistic regression model was used to analyze the independent correlation factors of AKI after cardiac valve surgery. The receiver operating characteristic (ROC) curve was used to evaluate the performance of relevant indicators.Results:A total of 422 patients were enrolled, including 194 females (46.0%), 141 hypertension patients (33.4%) and 172 atrial fibrillation patients (40.8%). They were 57 (50, 65) years old. Their sUAR was 8.13 (6.57, 9.54) μmol/g, and hemoglobin was 135 (125, 145) g/L. There were 142 cases in AKI group and 280 cases in non-AKI group, and the incidence of AKI after cardiac valve surgery was 33.6%. Age, atrial fibrillation rate, baseline serum creatinine, N terminal pro B type natriuretic peptide, serum urea,serum uric acid, blood glucose and sUAR were higher in the AKI group than those in the non-AKI group (all P<0.05), and estimated glomerular filtration rate, lymphocyte count,hemoglobin and serum albumin were lower in the AKI group than those in the non-AKI group (all P<0.05). The median cardiopulmonary bypass time of patients in the AKI group was slightly longer than that in the non-AKI group, but the difference was not statistically significant [159 (125, 192) min vs. 151 (122, 193) min, Z=-0.797, P=0.426], and there were no statistically significant differences in other indicators between the two groups. The results of multivariate logistic regression analysis showed that sUAR ( OR=1.467, 95% CI 1.308-1.645, P<0.001), age ( OR=1.045, 95% CI 1.020-1.072, P<0.001), atrial fibrillation ( OR=2.520, 95% CI 1.580-4.020, P<0.001), hemoglobin ( OR=0.984, 95% CI 0.971-0.997, P=0.015) were the independent correlation factors. ROC curve analysis showed that the area under the curve ( AUC) of sUAR predicting AKI after cardiac valve surgery was 0.710 (95% CI 0.659-0.760, P<0.001) with a sensitivity of 85.2% and specificity of 45.0% for the sUAR cut-off point of 7.28 μmol/g. The AUC for the diagnosis of AKI after cardiac valve surgery was 0.780 (95% CI 0.734-0.825, P<0.001) with a sensitivity of 72.5% and specificity of 71.8% for the combination of sUAR with age, hemoglobin and atrial fibrillation. Conclusions:For patients undergoing cardiac valve surgery under cardiopulmonary bypass, preoperative high sUAR is an independent risk factor for postoperative AKI, and sUAR has a certain predictive value for postoperative AKI.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.

Objective To better mobilize the work motivation of the majority of medical staff and to explore the optimization strategy of the remuneration distribution mechanism in public hospitals.Methods A semi-structured interview was conducted on employees of a large public hospital in Henan Province using purposive sampling method in March 2024.Sort out,code,and integrate interview data based on grounded theory.Results Based on 40 interview materials,44 initial concepts,14 basic categories,6 main categories,and 3 core categories were summarized.A model of pay distribution mechanism in public hospitals based on pay distribution principle,pay distribution structure and pay management system was constructed.Conclusion It is recommended that hospitals ensure the fairness and competitiveness of salary distribution,implement diversified salary policies,and continuously improve the salary distribution structure and supervision and management system.