Objective To evaluate the viral composition in respiratory samples from hospitalized children with acute respiratory infections in Yancheng，Jiangsu province，between January 2024 and June 2025 using metagenomic next-generation sequencing（mNGS）.Methods:A total of 247 respiratory specimens，including throat swabs，sputum，and bronchoalveolar lavage fluid，were collected from 247 hospitalized children in Yancheng，Jiangsu province，during the study period. The viral composition in these samples was detected and analyzed using mNGS technology.Results:Among the 247 cases，there were 136 cases of pneumonia（including 4 cases of severe pneumonia），45 cases of bronchopneumonia，27 cases of upper respiratory tract infection，and 39 cases of bronchitis. The ages of the patients ranged from 41 days to 14 years，with a median age of 3 years. High-throughput sequencing results showed that the positive detection rate for viruses in the respiratory samples was 89.88%（222/247），The detection rate of viruses causing respiratory tract infections was 69.23%（171/247），With RNA viruses detected in 71.65%（177/247）of the cases and DNA viruses in 43.32%（107/247）. The top three viruses detected were rhinovirus（24.29%，60/247），human herpesvirus 7（HHV-7）（21.86%，54/247），and influenza A H1N1（20.24%，50/247）. The common detected viruses that cause respiratory infections are rhinovirus（24.29%），influenza A virus H1N1（20.24%），RSV（17.81%），metapneumovirus（10.53%），enterovirus（6.88%），parainfluenza virus（6.07%），bocavirus（6.07%），coronavirus（2.43%），and adenovirus（2.43%）. In children with pneumonia，the top two respiratory viruses detected were rhinovirus（19.85%，27/136）and influenza A H1N1（16.91%，23/136）. In children with bronchopneumonia，the main viruses detected were rhinovirus（31.11%，14/45）and respiratory syncytial virus（24.44%，11/45）. In children with upper respiratory tract infections，the main viruses detected were influenza A H1N1（33.33%，9/27）and rhinovirus（25.93%，7/27）. In children with bronchitis，the main viruses detected were rhinovirus（30.77%，12/39）and respiratory syncytial virus（25.64%，10/39）. Among the 4 cases of severe pneumonia，the viruses detected were influenza A H1N1（2/4），respiratory syncytial virus（1/4），and bocavirus（1/4）.Conclusion:mNGS analysis revealed a high positive detection rate of respiratory viruses（89.88%）in hospitalized children with acute respiratory infections in Yancheng，Jiangsu，from January 2024 to June 2025，with influenza A H1N1 and rhinovirus being the most predominant.

Objective To evaluate the viral composition in respiratory samples from hospitalized children with acute respiratory infections in Yancheng，Jiangsu province，between January 2024 and June 2025 using metagenomic next-generation sequencing（mNGS）.Methods:A total of 247 respiratory specimens，including throat swabs，sputum，and bronchoalveolar lavage fluid，were collected from 247 hospitalized children in Yancheng，Jiangsu province，during the study period. The viral composition in these samples was detected and analyzed using mNGS technology.Results:Among the 247 cases，there were 136 cases of pneumonia（including 4 cases of severe pneumonia），45 cases of bronchopneumonia，27 cases of upper respiratory tract infection，and 39 cases of bronchitis. The ages of the patients ranged from 41 days to 14 years，with a median age of 3 years. High-throughput sequencing results showed that the positive detection rate for viruses in the respiratory samples was 89.88%（222/247），The detection rate of viruses causing respiratory tract infections was 69.23%（171/247），With RNA viruses detected in 71.65%（177/247）of the cases and DNA viruses in 43.32%（107/247）. The top three viruses detected were rhinovirus（24.29%，60/247），human herpesvirus 7（HHV-7）（21.86%，54/247），and influenza A H1N1（20.24%，50/247）. The common detected viruses that cause respiratory infections are rhinovirus（24.29%），influenza A virus H1N1（20.24%），RSV（17.81%），metapneumovirus（10.53%），enterovirus（6.88%），parainfluenza virus（6.07%），bocavirus（6.07%），coronavirus（2.43%），and adenovirus（2.43%）. In children with pneumonia，the top two respiratory viruses detected were rhinovirus（19.85%，27/136）and influenza A H1N1（16.91%，23/136）. In children with bronchopneumonia，the main viruses detected were rhinovirus（31.11%，14/45）and respiratory syncytial virus（24.44%，11/45）. In children with upper respiratory tract infections，the main viruses detected were influenza A H1N1（33.33%，9/27）and rhinovirus（25.93%，7/27）. In children with bronchitis，the main viruses detected were rhinovirus（30.77%，12/39）and respiratory syncytial virus（25.64%，10/39）. Among the 4 cases of severe pneumonia，the viruses detected were influenza A H1N1（2/4），respiratory syncytial virus（1/4），and bocavirus（1/4）.Conclusion:mNGS analysis revealed a high positive detection rate of respiratory viruses（89.88%）in hospitalized children with acute respiratory infections in Yancheng，Jiangsu，from January 2024 to June 2025，with influenza A H1N1 and rhinovirus being the most predominant.

Objective:To understand the composition of respiratory virus spectrum in hospitalized children with acute respiratory infections in Guilin City from 2021 to 2022, and to explore the epidemic characteristics of different respiratory viruses.Methods:Information of a total of 638 hospitalized children with acute respiratory infections (ARI) syndrome under the age of 14 years in Guilin city, Guangxi from September 2021 to October 2022 was collected as research data. The collected pharyngeal swabs from pediatric patients were subjected to real-time fluorescence reverse transcription polymerase chain reaction for nucleic acid testing, screening for 15 common respiratory viruses, and analyzing the virus spectrum characteristics of hospitalized pediatric patients with acute respiratory infections.Results:Among the 638 specimens, 365 were tested positive for at least one virus, with a positive rate of 57.21% (365/638). The detection rate for two or more viruses was 12.85% (82/638). There were 12 types of viruses detected, and the difference in virus detection rates among different seasons was statistically significant (P<0.002). The virus positive detection rate of samples from different age groups was the highest in the 0-2-year old group (40.66%), followed by the 3-5-year old group (34.80%) and the 6-year and older group (24.54%).Conclusions:During the period from September 2021 to October 2022, all 12 respiratory viruses were prevalent in Guilin area, with obvious summer peak as characteristics. It is suggested that corresponding prevention and control measures should be focused on pathogens that may cause acute respiratory infections in children during the local summer to prevent and control the spread and prevalence of respiratory infections.

Objective:To analyze the association of respiratory syncytial virus infection with meteorological factors and to predict and explain the trends.Methods:Data of cases with severe acute respiratory infections in hospitalized children in Xuzhou City were collected from 2015-2021. Respiratory syncytial virus (RSV) was detected by real-time fluorescence polymerase chain reaction. The result were statistically analyzed using SPSS 26.0 software, including constructing a negative binomial regression model to explore meteorological factors that impact RSV detection and a multivariate time series model to predict its epidemiological trend from 2020 to 2021.Results:A total of 1 663 samples of children with severe acute respiratory infections were collected from 2015to 2021, of which 218 (13.1%) were positive for RSV. Seasonal effects on RSV detection were evident: there was a 1-year cycle with a peak in winter (December-February) and a trough in summer (June-August). The negative binomial regression analysis showed that monthly mean temperature, monthly mean relative humidity, and monthly total sunshine hours may influenced RSV detection. The prediction result of the time series model with sunshine hours as the covariate showed that the prediction was better for 2020, and the actual values were close to the predicted values. The expected trends in 2021 were consistent, but the actual values were higher than predicted.Conclusions:Monthly mean temperature, monthly mean relative humidity, and monthly total sunshine hours may influence RSV detection in the Xuzhou region.A prediction model can be built using data from 2015-2019, where deviations in the predicted values for 2021, reflecting that disease prevalence is multifactorial correlated, suggest a possible rise in RSV prevalence in the future.

BACKGROUND:The cervical pedicle screws provide ideal three-column stability for cervical vertebra, but there is stil no a standard with the choice of pedicle screw place methods in cervical vertebra. Here, we try to seek a simpler, safer and accurate pedicle screw place method.OBJECTIVE:To evaluate the accuracy and security of transpedicular screw placement assisted by rapid prototyping individual navigation template. METHODS:Eight cadaver cervical specimens (C3-6) were selected to take CT-scan and data were saved in DICOM format. Three-dimensional (3D) software MIMICS was used to establish the C3~6 3D model, and designed the best pedicle screw channel. According to the morphological feature of the posterior cervical spine elements, the reverse template was designed. Then, the best pedicle screw channels were fused into bilateral navigation template. The navigation template was manufactured by rapid prototyping, and saved in STL format. Rapid prototyping technology was used to print out the navigation template. Cervical pedicle screws were inserted with the assistance of navigation templates fitted with the posterior structure of the vertebral body. Postoperative X-ray and CT scan were used to evaluate the accuracy of screw placement. RESULTS AND CONCLUSION:(1) Total y 64 screws were inserted with the assistance of individual navigation templates. Of them, 62 screws were completely in the pedicle;1 screw perforated the medial cortex of pedicle;1 screw perforated the lateral cortex of pedicle. Accuracy of screw placement was 97%. (2) The individual navigation template with a high accuracy rate is a feasible and safe method for cervical pedicle screw placement, which has great prospects for clinical application.