ObjectiveTo analyze the infection characteristics of human respiratory syncytial virus (HRSV) among children hospitalized with acute lower respiratory tract infection (ALRTI) in a specialized pediatric hospital in Shanghai, so as to provide evidence-based support for optimizing the prevention and control strategies and clinical diagnosis and treatment of respiratory tract infections in children in this region. MethodsA retrospective analysis was performed to the clinical and etiological data of 29 260 children hospitalized for ALRTI in Shanghai Children’s Hospital from January 2021 to December 2024. HRSV and 12 other common respiratory pathogens were detected with multiplex polymerase chain reaction (PCR) and capillary electrophoresis. Demographic and clinical data were collected for statistical analyses. A total of2 412 cases with positive HRSV were divided into the severe group and the non-severe group. Clinical characteristics between the two groups were compared using the Mann-Whitney U test and the chi- square (χ²) test. Additionally, the related influencing factors of severe HRSV infection were explored. ResultsThe overall positivity rate of HRSV from 2021 to 2024 was 8.24% (2 412/29 260), with statistically significant differences observed across the four years (χ²=389.42, P<0.001). The highest positivity rate was in 2021 (14.76%), with a high prevalence throughout the year. In 2022, when non-pharmaceutical interventions (NPIs) were implemented, the HRSV positivity rate was the lowest (4.93%), with a winter-dominant epidemic pattern. In 2023, after the NPIs were lifted, the HRSV positivity rate showed a slight rebound (8.14%), presenting a double-peak pattern. In 2024, the HRSV positivity rate slightly decreased compared to that in 2023 (6.29%), exhibiting a winter and spring-dominant epidemic pattern. Among the hospitalized children with ALRTI, the HRSV positivity rate in males (8.85%) was higher than that in females (7.51%), and the difference was statistically significant (χ²=17.33, P<0.001). Age distribution showed that 82.26% (1 984/2 412) of HRSV infections occurred in children aged 3 years old and below. Besides, as age increased, the infection rate of HRSV showed a gradually decreasing trend (P<0.001). Among the 2 412 children with HRSV infection, the proportion of severe cases was 22.31% (538/2 412), while the non-severe cases accounted for 77.69% (1 874/2 412). Compared with non-severe cases, severe cases were more frequently presented with high fever, longer duration of wheezing, as well as higher rates of underlying diseases or co-infection with Mycoplasma pneumoniae (P<0.001). ConclusionThe prevalence intensity of HRSV varied yearly from 2021 to 2024. After the removal of NPIs in 2023, a slight rebound with a double-peak epidemic pattern was observed. HRSV remained a common pathogen in children hospitalized for ARLTI, and children aged 3 years old and below constituted the highest proportion for infection. Compared with non-severe cases, those with severe HRSV infections were more prone to presenting with high fever and a longer duration of wheezing. Children with positive HRSV who had underlying diseases or co-infection with Mycoplasma pneumonia were more likely to develop severe conditions.

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 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 quantitatively analyze and evaluate the content of rehabilitation policy for people with disabilities in China. Methods This study focused on ten national policies of disability rehabilitation issued from 2021 to 2023.It employed text mining techniques to process policy texts and constructed a policy modeling consistency index model for dis-ability rehabilitation policies in China.The relevant policies were evaluated and analyzed quantitatively. Results The disability rehabilitation policies in China were relatively comprehensive in terms of policy transparency,op-erational mechanisms and policy nature.However,there was still a need for optimization in terms of policy per-spectives,target groups,incentive mechanisms,and other aspects. Conclusion The overall quality of disability rehabilitation policy texts at the national level in China is relatively good.There is a need to further enhance the predictability of policy objectives,clarify the responsibilities and division of labor among various departments,and improve policy incentive mechanisms in future policy formulation,which will further refine China's disability rehabilitation policy system and contribute to high-quality develop-ment of the disability cause.

Objective:To investigate the implementation status of sepsis hour-1 bundle strategy for patients with septic shock in emergency department.Methods:A total of 116 septic shock patients admitted to the emergency department from January 2020 to December 2020 were included in this prospective study, and the implementation of sepsis bundles and the clinical outcomes of patients were recorded.Results:Among 116 patients, 20 cases (17.2%) had lactic acid monitored within 1 h, 20 cases (17.2%) had blood culture before antibiotics, 82 cases (70.1%) received broad-spectrum antibiotics, 16 cases (13.8%) received fluid resuscitation ≥30 ml/kg, and 57 cases (49.1%) received vasoactive drugs during resuscitation. Finally, the sepsis hour-1 bundle strategy was fully implemented only in 13 cases (11.2%). Compared with the group with incomplete implementation of sepsis hour-1 bundle strategy, the volume of fluid recovery in the group with full implementation was significantly increased [33.7 (30.0,37.5) vs. 8.9(7.3,10.8) ml/kg, Z=-4.78, P<0.001], mean artery blood pressure significantly increased [70.0 (70.0,76.7) vs. 67.7 (61.7,76.7)mmHg(1 mmHg=0.133 kPa) , Z=-2.00, P<0.001], and lactic acid significantly decreased [3.0 (2.0,3.2) vs. 4.4 (3.7,7.2) mmol/L, Z=-2.76, P=0.006]. However, there were no significant differences in ICU mortality, in-hospital mortality and 28-day mortality between the two groups ( P>0.05). Conclusions:Septic shock patients in emergency department have poor compliance with the implementation of sepsis hour-1 bundle strategy, and relevant management training should be strengthened.

Objective:To sum up nursing experience of a multi-drug resistant patient with upper gastrointestinal hemorrhage who underwent Lateral skull base.Methods:One patient with multi-drug resistant was admitted to our hospital in October, 2019. To observe and prevent the postoperative complications of lateral skull base and to prevent the rupture bleeding of carotid artery. The early detection and treatment the symptoms of upper gastrointestinal bleeding is effective and necessary. Intervention for patient receiving nutrition therapy is promoted.Results:By giving psychological care to improve patient compliance. The patient had no postoperative complications of lateral skull base, and the bleeding symptoms of upper gastrointestinal hemorrhage was controlled in time.Conclusion:The patient was discharged from the hospital with a tracheal tube in a stable condition.

Objective:To survey the awareness of common primary care clinical guidelines among primary care providers in Qingdao city.Methods:A questionnaire survey on the awareness of common clinical guidelines in primary care was conducted in August 2020 among 659 providers (293 males and 366 females) from 81 primary medical institutions in Qingdao city. The contents of the questionnaire included the general information of primary physicians, the frequency of using the guidelines, the level of understanding of the guidelines, the effect of guidelines in clinical work, the attitudes towards promoting the guidelines, and the interest in learning the guidelines and the way of learning.Results:A total of 659 valid questionnaires were recovered with a recovery rate of 100.0%. The results showed that 14.7% (97/659) practitioners applied the guidelines in most cases, and 31.6% (208/659) frequently used. There were significant differences in use frequency among providers with different practice types, professional titles, education background, practice locations and institutions ( P<0.01). Among participants, 15.2% (100/659) did not know about primary care guidelines, 63.3% (417/659) knew but did not learned guidelines, 21.5% (142/659) knew and studied guidelines carefully. The top five of the learned guidelines (114, 80.3%) were bronchial asthma (113, 79.6%), type 2 diabetes (108, 76.1%), chronic obstructive pulmonary disease (101, 71.1%), and chronic cor pulmonale (83, 58.5%). Most participants who learnt the guidelines viewed the guidelines as quite helpful or very helpful, the score of usefulness for professional knowledge was the highest (4.44±0.60). Most of participants (94.2%, 621/659) thought it was necessary to develop primary care guidelines; and the major factors affecting the promotion were lack of training (79.8%, 526/659), difficulties in access (46.7%, 308/659) and ignorance or neglect (23.2%, 153/659).Most practitioners (93.8%, 618/659) were interested in learning primary care clinical guidelines, and the expected ways of training were online teaching (70.0%, 420/618), training courses(58.3%, 360/618) and special lectures (55.2%, 341/618). Conclusion:The current situation of learning clinical guidelines among primary care providers in Qingdao is not satisfactory, but they are willing to learn the guidelines for improving clinical practice. We should strengthen the training and promotion of primary care guidelines among primary care providers in the future.

Objective:To investigate the clinical characteristics and influencing factors of mortality in patients with intra-abdominal candidiasis (IAC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 203 IAC patients who were admitted to 7 medical centers from June 2018 to June 2020 were collected, including 54 cases in Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, 31 cases in Fujian Medical University Union Hospital, 25 cases in Beijing Hospital, 25 cases in the First Affiliated Hospital of Xi'an Jiaotong University, 24 cases in China-Japan Friendship Hospital, 22 cases in General Hospital of Eastern Theater Command of Chinese PLA and 22 cases in Chongqing University Cancer Hospital. There were 130 males and 73 females, aged (64±15)years. Observation indicators: (1) candida infection and treatment of IAC patients; (2) analysis of influencing factors for mortality of IAC patients. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analyses were performed by Logistic regression model. Results:(1) Candida infection and treatment of IAC patients: 134 cases of candida albicans were cultured in the initial abdominal drainage fluid or intraoperative abdominal specimens of 203 patients, and 49 cases were treated with fluconazole. Of 69 cases infected with non candida albicans, 13 cases were treated with fluconazole. The resistance rate of candida albicans to fluconazole was 5.91%(12/203). Of 203 patients, there were 68 cases with infections shock, 53 cases with renal failure, 84 cases with respiratory failure and 63 cases with multiple organ failure, respectively. There were 148 of 203 patients admitted to intensive care unit for 9 days(range, 3-20 days), and the total hospital stay was 28 days(range, 17-50 days). Of 203 patients, 86 cases were cured and discharged, 50 cases were improved and transferred to local hospitals, 32 cases gave up treatment and discharged automatically, 19 cases died, 16 cases had no follow-up data. The mortality was 25.12%(51/203). (2) Analysis of influencing factors for mortality of IAC patients. Results of univariate analysis showed that acute physiology and chronic health evaluation score, sequential organ failure assessment score, the Cr, bilirubin, albumin, procalcitonin, and PLT on the first day of candida positive culture, of the lowest value in a week and the highest in a week, heart disease, diabetes, infections shock, renal failure, respiratory failure, multiple organ failure, anti-fungal therapy were the related factors for mortality of IAC patients ( t=-2.322, Z=-2.550, -2.262, -4.361, t=2.085, Z=-3.734, -5.226, -2.394, -5.542, t=3.462, Z=-4.957, -5.632, 3.670, -5.805, t=3.966, Z=-3.734, -5.727, χ2=4.071, 4.638, 27.353, 18.818, 13.199, 26.251, 13.388, P<0.05). Multivariate analysis showed that the bilirubin, procalcitonin on the first day of candida positive culture and infections shock were independent risk factors for mortality of IAC patients ( odds ratio=1.021, 1.022, 6.864, 95% confidence interval as 1.010-1.033, 1.001-1.044, 1.858-25.353, P<0.05). Conclusions:The common fungus of IAC was candida albicans, and fluconazole can be used as the initial empirical treatment. The prognosis of patients with abdominal candidiasis is poor. Bilirubin, procalcitonin on the first day of candida positive culture and infections shock are indepen-dent risk factors for mortality of IAC patients.