Objective:To explore the clinical epidemiological characteristics of respiratory syncytial virus in children in Hubei Province from 2020 to 2023.Method:A single-center and cross-sectional study was used to analyze the clinical data of 3 271 children with respiratory syncytial virus infection in Wuhan Children′s Hospital affiliated to Huazhong University of Science and Technology from July 1, 2020 to June 30, 2023. Nonparametric rank sum test and χ2 test were used for comparative analysis. Results:From July 1, 2020 to June 30, 2023, a total of 25 583 children were included in the analysis, of which 3 271(12.8%) children infected RSV. The detection rate was 16.3% in 2020-2021, 14.7% in 2021-2022 and 9.1% in 2022-2023. The detection rate decreased year by year ( χ2=222.054, P<0.05). From 2020 to 2023, there was an anti-seasonal epidemic of RSV in spring and autumn. The detection rate of RSV in infants under 1 year old was the highest, but the median ages of RSV positive children increased ( H=140.575, P<0.05). Pneumonia was the main clinical manifestation of RSV respiratory tract infection. Conclusion:The epidemiological characteristics of RSV in children in Hubei Province were different from those before. From 2020 to 2023, the detection rate of RSV decreased year by year. Besides winter, the prevalence of RSV could also be seen in spring and autumn. The median age of children infected with RSV increased after the epidemic. Pneumonia was the main clinical manifestation after RSV infection.

Objective:To explore the clinical epidemiological characteristics of respiratory syncytial virus in children in Hubei Province from 2020 to 2023.Method:A single-center and cross-sectional study was used to analyze the clinical data of 3 271 children with respiratory syncytial virus infection in Wuhan Children′s Hospital affiliated to Huazhong University of Science and Technology from July 1, 2020 to June 30, 2023. Nonparametric rank sum test and χ2 test were used for comparative analysis. Results:From July 1, 2020 to June 30, 2023, a total of 25 583 children were included in the analysis, of which 3 271(12.8%) children infected RSV. The detection rate was 16.3% in 2020-2021, 14.7% in 2021-2022 and 9.1% in 2022-2023. The detection rate decreased year by year ( χ2=222.054, P<0.05). From 2020 to 2023, there was an anti-seasonal epidemic of RSV in spring and autumn. The detection rate of RSV in infants under 1 year old was the highest, but the median ages of RSV positive children increased ( H=140.575, P<0.05). Pneumonia was the main clinical manifestation of RSV respiratory tract infection. Conclusion:The epidemiological characteristics of RSV in children in Hubei Province were different from those before. From 2020 to 2023, the detection rate of RSV decreased year by year. Besides winter, the prevalence of RSV could also be seen in spring and autumn. The median age of children infected with RSV increased after the epidemic. Pneumonia was the main clinical manifestation after RSV infection.

Objective: To investigate the value of combination of A²DS² score, procalcitonin (PCT) and C-reactive protein (CRP) predicting stroke-associated pneumonia (SAP) in patients with acute ischemic stroke. Methods: Patients with acute ischemic stroke admitted to the Department of Neurology, Suqian People's Hospital of Nanjing Drum Tower Hospital Group from March 2015 to March 2019 were enrolled retrospectively. Multivariate logistic regression analysis was used to determine the independent correlation of A²DS² scores as well as PCT and CRP levels with SAP. Receiver operating characteristic (ROC) curves were used to assess the individual and combined predictive values of A²DS² scores, PCT and CRP levels for SAP. Results: A total of 332 patients with acute ischemic stroke were enrolled, and 58 of them developed SAP (17.5%). After adjusting for age, smoking, and hyperlipidemia, the A²DS² score (odds ratio [OR] 1.613, 95% confidence interval [CI] 1.092-2.389), PCT (OR 8.047, 95% CI 3.012-16.138) and CRP (OR 1.409, 95% CI 1.064-2.672) were the independent predictors of SAP occurrence. ROC curve analysis showed that the area under the curve of A²DS² score, PCT and CRP alone, and the combination of the three for predicting SAP were 0.811, 0.825, 0.804 and 0.910, respectively. When the three are jointly used to predict SAP, the area under the curve is significantly higher than the individual prediction (all P<0.001). Conclusions The combination of A²DS² score, PCT and CRP can improve the ability to predict SAP.