More common RNAemia in the early stage of severe SARS-CoV-2 BF.7.14 infections in pediatric patients

The risk factors of severe infections in children during the severe acute respiratory syndrome coronavirus 2(SARS‐CoV‐2)outbreak in Beijing remain elusive.SARS‐CoV‐2‐positive children admitted to the intensive care unit(ICU)with collected plasma specimens were enrolled and screened for common pathogens using capillary electrophoresis‐based multiplex PCR from December 12,2022,to January 24,2023.The SARS‐CoV‐2 subvariants were identified using next‐generation sequencing.Plasma was positive for two(positive;P),one(suspicious;S),or no(negative;N)SARS‐CoV‐2 genes were classified as plasmatic RNA‐positive(RNAemia;P+S)or without RNAemia(N).Clinical and laboratory data of the enrolled cases were then collected and analyzed.The 34 enrolled children included 26 males and 24 younger than three years.All were negative for other respiratory pathogens.BF.7.14(18/29)was the predominant subvariant.Viral loads in respiratory specimens,hours from symptom onset to the first respiratory specimen collection(time‐variable),with comorbidities and BF.7.14 and BA.5.2 distributions were significantly different in P vs.N and RNAemia vs.without RNAemia group.Among most cases,the T lymphocyte ratios decreased,while the cytokine level and the B lymphocyte ratio increased.The time variables were 2.22±2.05 and 4.00±2.49 days in BF.7.14 and BA.5.2 infections,respectively.In conclusion,SARS‐CoV‐2 was more likely to cause severe infections among males aged≤3 years old with comorbidities during the SARS‐CoV‐2 outbreak in Beijing,while RNAemia is more common in children at the early stage of severe BF.7.14 infections,and most had high cytokine levels and B‐cell activation.

Human rhinovirus C infection is associated with asthma in children determined by x TAG respiratory viral panel FAST

Dear Editor,Cumulative evidence supports the role of early-life viral infections,especially respiratory syncytial virus(RSV)and human rhinovirus(HRV),as major antecedents of childhood asthma(Lemanske,2002;Jackson et al.,2008).In this study,the x TAG respiratory viral panel FAST(RVP FAST)assay,a multiplex polymerase chain reaction(PCR)-based method(Arens et al.,2010;BaladaLlasat et al.,2011;Gharabaghi et al.,2011;Selvaraju,2012),was used to investigate the association of infec-

Application of Human Adenovirus Genotyping by Phylogenetic Analysis in an Outbreak to Identify Nosocomial Infection

Nosocomial infections are common in pediatric patients and can be fatal in infants and immunocompromised patients. In September 2018, a high positive rate of human adenovirus HAdV was occurred among hospitalized children in the Children's Hospital Affiliated to the Capital Institute of Paediatrics in Beijing. To investigate whether this outbreak of HAdV was related to nosocomial infections or the result of community infections, we collected respiratory specimens from patients with acute respiratory infections in a respiratory ward during June to December 2018, and screened for respiratory viruses. Among 1,840 cases included, 95(5.2%, 95/1840) were positive for HAdV and 81 were genotyped based on phylogenetic analysis, including seven as HAdV-1(8.6%), 30 HAdV-3(37.0%), two HAdV-6(2.5%), and 42 HAdV-7(51.9%). More HAdV-positive samples were collected in August(4.7%, 12/255), September(15.0%, 41/274) and October(6.9%, 17/247), with a peak in September 2018. By combining the results of HAdV phylogenetic analysis with clinical data of patients, there were 77 cases(4.2%, 77/1840;81.1%, 77/95) excluded from nosocomial infections, eight cases representing possible infections transmitted by visitors or attending parents, three cases without sequences that might have been due to infection transmitted by roommates positive for HAdV, one case of a roommate without an HAdV sequence, and six cases that shared highly homologous sequences with those of their roommates, for which nosocomial infections might be considered. In conclusion, genotyping of HAdVs based on phylogenetic analysis combined with clinical information provides a powerful method to distinguish nosocomial infections from community acquired infection, especially when tracing the origins of nosocomial infections.