Objective: To analyze respiratory syncytial virus(RSV) outbreaks surveillance results and the epidemiological characteristics in kindergarten and school in Shenzhen during 2017-2023 , so as to provide a scientific reference for control and prevention of RSV. Methods: Epidemiological data and surveillance results of RSV outbreaks in kindergarten and school from 2017 to 2023 were collected for descriptive analyses. Results: A total of 31 RSV outbreaks were identified in kindergarten and school in 2017-2023 in Shenzhen, 346 cases were reported, the average incidence rate was 22.02%. The most annual RSV outbreaks were reported in 2020 with 14 outbreaks, followed by 8 outbreaks in 2023. A total of 64.52% of RSV outbreaks were identified in kindergarten with rest occurring in primary school or middle school. The greatest monthly count of outbreak was 18 (58.06%) in September, followed by 3 outbreaks (9.68%) in March and October. A total of 244 swab samples were collected, 169 samples were positive for respiratory viruses, the positive rate was 69.26%, 121 samples were positive for RSV,from 31 respiratory syncytical virus outbreaks 57 and samples were positive for other respiratory viruses(9 samples were positive for two respiratory viruses). A toral of 14(45.16%) outbreaks are caused by RSV alone, 17 outbreaks (54.84%) were caused by RSV and other respiratory viruses. Conclusions Most RSV outbreaks in kindergarten and school are reported after 2020 in Shenzhen, most RSV outbreaks occur in kindergarten, peak seasons of RSV outbreaks are autumn and spring.

Objective: To analyze the monitoring results and characteristics of human metapneumovirus (HMPV) outbreaks in Shenzhen in kindergartens and schools during 2017-2023, so as to provide a evidence for prevention and control of respiratory diseases. Methods: Based on the epidemiological data and laboratory test results of HMPV outbreaks in kindergartens and schools of Shenzhen during 2017 to 2023, collected from the influenza monitoring network platform, Mann Kendall test was applied for trend analysis pf HMPV. Results: A total of 11 HMPV outbreaks were identified in kindergartens and schools from 2017 to 2023 for 128 cases with an average incidence rate of 26.61% in 2018. The most yearly HMPV outbreaks were reported in 2020 being 4 outbreaks, followed by 2 outbreaks in 2018. A total of 72.73% (8 outbreaks) of HMPV outbreaks were identified in kindergartens with 27.27% (3 outbreaks) occurring in primary schools. The monthly greatest count of outbreak was 3(27.27%) in March and December, followed by 2 outbreaks (18.18%) in April and June. A total of 98 swab samples were collected, and 80 samples were positive for respiratory viruses with a positive rate of 81.63%; among them, 67 samples were positive for HMPV alone, 10 samples were positive for other respiratory viruses alone, and 3 samples were positive both for HMPV and other respiratory virus. Among the 11 human metalung virus cases, 6 HMPV outbreaks were caused by human metapneumovirus alone, and 5 outbreaks were caused by HMPV and other respiratory viruses. Except for 2020, the percentage of HMPV outbreaks in influenza like illness outbreaks increased with year ( Z=2.25, P =0.02). Conclusion HMPV outbreaks have been reported every year from 2017 to 2023 in kindergartens and schools in Shenzhen, most of HMPV in kindergartens, and the peak seasons of HMPV outbreaks are spring and winter.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

Objective:To explore the clinical typing, diagnostic method and treatment plan of congenital tracheal stenosis (CTS) combined with communicating bronchopulmonary foregut malformation (CBPFM) in children.Methods:The clinical data of 2 children with CTS and CBPFM who were treated in the Center for Respiratory Intervention of Children′s Hospital Affiliated to Shandong University in May 2021 and January 2022 were retrospectively analyzed.Studies were retrieved from domestic and foreign databases, so as to summarize the clinical characteristics of CTS complicated with CBPFM and investigate the typing method of CBPFM.Results:One patient was a 4-year-old girl, who sought the medical advice due to " recurrent cough and asthma for more than 4 years" . She was diagnosed with typeⅡ CBPFM at the right side and CTS.Surgical thoracoscopic right pneumonectomy plus oesophageal repair was performed.The other patient was a 7-month-and-2-day-old female, who visited the hospital for " difficult eating, dyspnea and purple lip cyanosis for 7 months" . This patient was diagnosed with typeⅡ CBPFM at the left side and CTS.Slide tracheoplasty and left pneumonectomy+ oesophageal repair were performed successively.Eight English and one Chinese studies were collected.Twenty-one children with CBPFM and 12 children with CTS and CBPFM were included.Eleven CTS cases with sufficient diagnostic evidence were complicated with typeⅠA and typeⅡCBPFM.Conclusions:CTS and CBPFM can lead to severe wheezing and dyspnea.Clinicians should enhance their awareness and be more cautious.There may be a potential link between CTS and typeⅠA and typeⅡCBPFM, and further investigation is required.

Objective:To investigate the role and possible molecular mechanisms of m6A methyltransferase METTL3 and demethylase FTO in H7N9 virus infection.Methods:Western blot(WB) was used to detect the expression of METTL3 and FTO after H7N9 virus infected A549 cells. After knocking down and over-expressing METTL3 and FTO, H7N9 virus infection was tested by WB and TCID 50 for its effect on virus replication. Transcriptome sequencing method were used to analyze differentially expressed genes at the transcriptome level in METTL3 or FTO knockdown and wild-type control cells, and preliminary analysis of potential targets was performed. Results:After 24 h of H7N9 virus infection in A549 cells, METTL3 expression was up-regulated, and FTO did not significantly change. After knocking down METTL3 and FTO, the virus nucleoprotein (NP) expression level and virus titer decreased significantly. Consistent with the result of the knockdown experiments, we found that the viral titer was increased by METTL3 and FTO overexpression. Transcriptome sequencing result showed that 314 and 555 differentially expressed genes were found between the METTL3 or FTO knockdown group and the control group, respectively. GO functional enrichment analysis and KEGG pathway enrichment analysis showed that these genes were related to the host immune response.Conclusions:METTL3 and FTO may play a key role in H7N9 virus infection by regulating host-virus interactions.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective To understand the comparability of the detection results of four items (ALT ,AST , GGT ,ALP) of liver enzymology in 11 clinical laboratories in Xinjiang Production and Construction Corps (XPCC) and offer reference for improving mutual recognition of the results .Methods Eleven clinical labora-tories of XPCC organized the result comparability tests of 4 items of liver enzymology twice in 2017 ,and the samples with 5 batches were completed in each comparability test .One set of detection system in each labora-tory was used as comparability system according to comparability scheme .The detection results were analyzed through Robust Z Score and the evaluation criterion was :|Z|≤2 "satisfied";2< |Z|<3"warning";|Z|≥3 "not satisfied".Results The detection results of all 10 batch samples in 4 clinical laboratories showed |Z|≤2 in 2 comparability tests .In the first comparability test ,the detection results of 5 batch samples for 4 items were |Z|≤2 in 5 laboratories .In the second comparability test ,the detection results of 5 batch samples for 4 i-tems were |Z|≤2 in 8 laboratories ,but the ALT results of 5 batch samples in 1 laboratory showed positive deviation(Z≥3)and the GGT results of 5 batch samples in the other laboratory showed negative deviation (Z≤ -3) .Conclusion The 11 clinical laboratories in XPCC should continuously improve quality management system and make sure that the mutual recognition of the detection results of 4 items of liver enzymology is effective .

Objective To analyze the relationship between the posterior circulation cerebral infarction and posterior embryonic cerebral artery,and to explore the possibility of posterior embryonic cerebral artery to be predictive indicator for the occurrence and development of the posterior circulation infarction.Methods A total of 2341 posterior circulation cerebral infarction patients in our hospital were recruited,and its location was confirmed in infarction circulation blood supply range and existence condition of posterior embryonic cerebral artery was explored by head MRI and DWI.The correlation between posterior embryonic cerebral artery and posterior circulation cerebral infarction,arteriosclerosis.Results Among the 2341 patients,there were 1012(41.63％) patients with posterior circulation infarction,including 314 cases with left posterior circulation infarction,295 cases with right posterior circulation infarction,403 cases with bilateral posterior circulation infarction.There were 578 (23.78％) patients with embryonic posterior cerebral artery,including 179 cases with left posterior cerebral artery,257 cases with right posterior cerebral artery,and 142 cases with bilateral posterior cerebral artery.There were 1193 (49.1％) patients with cerebral arteriosclerosis.The incidences of cerebral arteriosclerosis and posterior circulation cerebral infarction showed significant difference in the embryo posterior cerebral artery and non-embryo posterior cerebral artery patients (P ＜ 0.05),but no significant difference in posterior embryonic cerebral artery patients with different locations (P ＞ 0.05).Conclusion Embryonic posterior cerebral artery has a significant correlation with posterior circulation cerebral infarction,and can significantly increase the incidence of posterior circulation cerebral infarction.