Objective:To investigate the clinical characteristics of children with severe human metapneumovirus (HMPV) infection and identify the risk factors associated with critical illness.Methods:A retrospective cohort study was conducted, enrolling 157 hospitalized children with severe HMPV infection, who tested positive for HMPV nucleic acid via PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at Shanghai Children′s Hospital from January 2021 to December 2023.Clinical features, co-infections, treatment, and outcomes were collected. Based on the diagnostic criteria for severe HMPV infection, the patients were categorized into a critical illness group and a non-critical illness group. Intergroup comparisons were performed using the χ2 test or the Mann-Whitney U test. Multivariate Logistic regression analysis was employed to identify risk factors for critical HMPV infection and to establish a predictive model.The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and calibration curves. Results:Among the 157 cases of severe HMPV infection, there were 67 males and 90 females, with an onset age of 39.0 (20.0, 55.5) months. Single-pathogen infection was observed in 125 cases (79.6%), while mixed infections accounted for 32 cases (20.4%).Severe pneumonia was diagnosed in 136 cases (86.6%).The predominant manifestations of severe HMPV infection included fever 152 cases (96.8%), cough 151 cases (96.2%), and wheezing 94 cases (59.9%).Sixty-eight patients (43.3%) required non-invasive respiratory support, 58 cases (36.9%) were admitted to the intensive care unit, and 22 cases (14.0%) underwent mechanical ventilation. Of the total, 149 cases (94.9%) were discharged with improvement, 8 cases (5.1%) were discharged against medical advice, and there were no fatal cases. The cohort was further stratified into a critical illness group 31 cases and a non-critical illness group 126 cases. Compared to the non-critical illness group, the critical illness group exhibited significantly higher rates of respiratory distress, lethargy, and intercostal retractions, along with a higher proportion of underlying comorbidities, and elevated levels of C-reactive protein and procalcitonin (all P<0.05).Conversely, albumin and hemoglobin levels were significantly lower in the critical illness group (both P<0.05). ROC curve analysis revealed that the optimal cutoff value for the duration of fever in predicting severe HMPV infection was 4.5 days.The multivariate binary Logistic regression analysis revealed that prolonged fever duration (>4.5 days) ( OR=28.00, 95% CI 5.09-153.93, P<0.001), anorexia ( OR=11.72, 95% CI 1.26-108.75, P=0.030), and immune dysfunction ( OR=36.71, 95% CI 1.55-867.31, P=0.026) were independent risk factors for severe HMPV infection. A predictive model for critical illness was constructed based on these independent risk factors. ROC curve analysis demonstrated excellent discriminative ability, with an area under the curve of 0.96 (95% CI 0.92-1.00, P<0.001). The optimal predictive probability threshold was 0.17, yielding a sensitivity of 0.93 and specificity of 0.92. The calibration curve closely approximated the ideal curve, indicating good model calibration ( P=0.157). Conclusions:Severe HMPV infection is predominantly observed as a single infection and is prone to progress to severe pneumonia, with fever, cough, and wheezing as the main clinical manifestations. A subset of cases progresses to critical illness, though the overall prognosis is favorable. Prolonged fever duration (>4.5 days), anorexia, and immune dysfunction were independent risk factors for critical illness.The risk prediction model constructed for pediatric critical HMPV infection demonstrated robust discriminative ability with excellent calibration.

Allergen specific immunotherapy（AIT）, as an effective treatment for allergic rhinitis, asthma, and other allergic diseases, has received widespread attention in the field of health economic evaluation in recent years. This article reviews the current status and progress of economic research on AIT, mainly discussing the socioeconomic burden of allergic rhinitis, the results of health economic studies from different countries, and the primary methods used in health economic research on allergic rhinitis. Existing studies indicate that, although AIT involves high initial costs, it offers significant long-term economic benefits by reducing healthcare resource utilization, improving patient quality of life, and decreasing medication dependence. Moreover, reducing initial costs, applying standardized assessment tools, and conducting cross-national comparative analyses have become key directions for future research. Overall, AIT demonstrates strong potential in terms of long-term health benefits and cost savings, providing solid economic evidence for the management of allergic diseases.
Humans ; Desensitization, Immunologic/economics* ; Cost-Benefit Analysis ; Rhinitis, Allergic/economics* ; Economics, Medical

Objective:To investigate the clinical characteristics of children with severe human metapneumovirus (HMPV) infection and identify the risk factors associated with critical illness.Methods:A retrospective cohort study was conducted, enrolling 157 hospitalized children with severe HMPV infection, who tested positive for HMPV nucleic acid via PCR-capillary electrophoresis fragment analysis of nasopharyngeal secretions at Shanghai Children′s Hospital from January 2021 to December 2023.Clinical features, co-infections, treatment, and outcomes were collected. Based on the diagnostic criteria for severe HMPV infection, the patients were categorized into a critical illness group and a non-critical illness group. Intergroup comparisons were performed using the χ2 test or the Mann-Whitney U test. Multivariate Logistic regression analysis was employed to identify risk factors for critical HMPV infection and to establish a predictive model.The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and calibration curves. Results:Among the 157 cases of severe HMPV infection, there were 67 males and 90 females, with an onset age of 39.0 (20.0, 55.5) months. Single-pathogen infection was observed in 125 cases (79.6%), while mixed infections accounted for 32 cases (20.4%).Severe pneumonia was diagnosed in 136 cases (86.6%).The predominant manifestations of severe HMPV infection included fever 152 cases (96.8%), cough 151 cases (96.2%), and wheezing 94 cases (59.9%).Sixty-eight patients (43.3%) required non-invasive respiratory support, 58 cases (36.9%) were admitted to the intensive care unit, and 22 cases (14.0%) underwent mechanical ventilation. Of the total, 149 cases (94.9%) were discharged with improvement, 8 cases (5.1%) were discharged against medical advice, and there were no fatal cases. The cohort was further stratified into a critical illness group 31 cases and a non-critical illness group 126 cases. Compared to the non-critical illness group, the critical illness group exhibited significantly higher rates of respiratory distress, lethargy, and intercostal retractions, along with a higher proportion of underlying comorbidities, and elevated levels of C-reactive protein and procalcitonin (all P<0.05).Conversely, albumin and hemoglobin levels were significantly lower in the critical illness group (both P<0.05). ROC curve analysis revealed that the optimal cutoff value for the duration of fever in predicting severe HMPV infection was 4.5 days.The multivariate binary Logistic regression analysis revealed that prolonged fever duration (>4.5 days) ( OR=28.00, 95% CI 5.09-153.93, P<0.001), anorexia ( OR=11.72, 95% CI 1.26-108.75, P=0.030), and immune dysfunction ( OR=36.71, 95% CI 1.55-867.31, P=0.026) were independent risk factors for severe HMPV infection. A predictive model for critical illness was constructed based on these independent risk factors. ROC curve analysis demonstrated excellent discriminative ability, with an area under the curve of 0.96 (95% CI 0.92-1.00, P<0.001). The optimal predictive probability threshold was 0.17, yielding a sensitivity of 0.93 and specificity of 0.92. The calibration curve closely approximated the ideal curve, indicating good model calibration ( P=0.157). Conclusions:Severe HMPV infection is predominantly observed as a single infection and is prone to progress to severe pneumonia, with fever, cough, and wheezing as the main clinical manifestations. A subset of cases progresses to critical illness, though the overall prognosis is favorable. Prolonged fever duration (>4.5 days), anorexia, and immune dysfunction were independent risk factors for critical illness.The risk prediction model constructed for pediatric critical HMPV infection demonstrated robust discriminative ability with excellent calibration.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

Objective To explore whether Yes-associated protein(YAP)affects occurrence and progression of liver fibrosis by regulating epithelial-mesenchymal transition(EMT).Methods In a 8-week-old C57BL/6 mouse model of CCl4-induced liver fibrosis,the effect of verteporfin(a YAP inhibitor)intervention was assessed with HE staining and by detecting liver biochemistry and expressions of YAP and EMT-related genes using immunohistochemistry and Western blotting.Transcriptome and proteomic sequencing and informatics analysis were used to investigate the main downstream pathways of YAP in liver fibrosis.Serum levels of YAP,N-cadherin,vimentin and Twist were examined in 60 healthy individuals,60 patients with chronic hepatitis B(CHB),and 60 patients with HBV-related liver cirrhosis.In another 24 C57BL/6 mice,the effects of Twist inhibitor alone or in combination with harmine(a YAP activator)on CCl4-induced liver fibrosis were evaluated by histopathological examination and Western blotting.Results The mouse models of liver fibrosis showed obvious structural damages of the liver lobes with formation of pseudolobules,and verteporfin treatment significantly improved these pathologies and lowered plasma ALT and AST levels of the mice.Transcriptome and proteomic sequencing and informatics analysis suggested that N-cadherin and Twist were differentially expressed in liver fibrosis in close correlation with YAP.Inhibition of YAP obviously downregulated hepatic N-cadherin and Twist protein expressions in the mice with liver fibrosis.In patients with CHB and liver cirrhosis,serum levels of YAP elevated obviously with the severity of liver fibrosis and were significantly correlated with N-cadherin,vimentin and Twist levels.In mice with liver fibrosis,inhibiting Twist effectively improved liver inflammation and fibrosis,while the combined treatment with YAP activator worsened hepatic collagen fiber deposition and increased hepatic YAP and α-SMA expressions.Conclusion EMT is an important pathogenic mechanism of liver fibrosis,and inhibiting YAP can alleviate liver fibrosis by reducing EMT.

Objective To explore whether Yes-associated protein(YAP)affects occurrence and progression of liver fibrosis by regulating epithelial-mesenchymal transition(EMT).Methods In a 8-week-old C57BL/6 mouse model of CCl4-induced liver fibrosis,the effect of verteporfin(a YAP inhibitor)intervention was assessed with HE staining and by detecting liver biochemistry and expressions of YAP and EMT-related genes using immunohistochemistry and Western blotting.Transcriptome and proteomic sequencing and informatics analysis were used to investigate the main downstream pathways of YAP in liver fibrosis.Serum levels of YAP,N-cadherin,vimentin and Twist were examined in 60 healthy individuals,60 patients with chronic hepatitis B(CHB),and 60 patients with HBV-related liver cirrhosis.In another 24 C57BL/6 mice,the effects of Twist inhibitor alone or in combination with harmine(a YAP activator)on CCl4-induced liver fibrosis were evaluated by histopathological examination and Western blotting.Results The mouse models of liver fibrosis showed obvious structural damages of the liver lobes with formation of pseudolobules,and verteporfin treatment significantly improved these pathologies and lowered plasma ALT and AST levels of the mice.Transcriptome and proteomic sequencing and informatics analysis suggested that N-cadherin and Twist were differentially expressed in liver fibrosis in close correlation with YAP.Inhibition of YAP obviously downregulated hepatic N-cadherin and Twist protein expressions in the mice with liver fibrosis.In patients with CHB and liver cirrhosis,serum levels of YAP elevated obviously with the severity of liver fibrosis and were significantly correlated with N-cadherin,vimentin and Twist levels.In mice with liver fibrosis,inhibiting Twist effectively improved liver inflammation and fibrosis,while the combined treatment with YAP activator worsened hepatic collagen fiber deposition and increased hepatic YAP and α-SMA expressions.Conclusion EMT is an important pathogenic mechanism of liver fibrosis,and inhibiting YAP can alleviate liver fibrosis by reducing EMT.

Animals ; Cellular Reprogramming ; genetics ; DNA Transposable Elements ; genetics ; Genetic Vectors ; genetics ; Genome ; genetics ; Humans ; Induced Pluripotent Stem Cells ; cytology ; metabolism ; Mutagenesis

Cerebrovascular disease is one of the main diseases that threaten human health and life,and the age of onset become younger and younger. Research shows that Toll-like receptors (TLRs) express in brain, have effects on neurons, play an important role in the occurrence and development of cerebral ischemia and secondary cerebral injury.It is clear that TLR2, TLR3, TLR4, TLR7 and TLR9 have influence on occurrence and development of cerebral ischemia. This is crucial for understanding the relationship between immune inflammation and nerve regeneration, and improving clinical treatment.

Objective To analyse risk factors for bile leakage after liver resection.Methods Between January 2011 and December 2012,469 patients underwent elective hepatectomy.We prospectively collected and retrospectively analyzed demographic data,pathological variables,and perioperative variables.Univariate analysis screened the related factors of bile leakage after liver resection.Multivariate analysis identified the independent risk factors of postoperative bile leakage.Results 469 patients were included in the analysis.The prevalence of bile leakage was 22.6％ (n =106).Univariate analysis identified the following risk factors as male gender,portal hypertension,steatosis,cirrhosis,ChildPugh grade,ascites,operative time,intraoperative transfusion,intraoperative blood loss,portal triad clamping,microwave solidification,lymphadenectomy,number of tumor,tumor margin,tumor capsular,diameter of tumor,portal vein invasion or portal branch thrombosis,number of abdominal drains.Multivariate analysis identified 4 independent risk factors for postoperative bile leakage:Cirrhosis [OR =13.2 (2.3,76.9),P =0.004],steatosis [OR =73.1 (17.7,301.5),P ＜ 0.001],infusion volume of the surgery day [OR=1.0 (1.0,1.0),P=0.019] and diameter of tumor [OR=1.2 (1.1,1.3),P=0.003].Conclusions Cirrhosis,steatosis,transfusion volume of the surgery day,and tumor size were risk factors for bile leakage after major liver resection.