Viral infection and epidemiological characteristics of human metapneumovirus in febrile respiratory syndrome cases in nine provinces in China from 2009 to 2021 / 中华实用儿科临床杂志

Objective:To clarify the infection and epidemic characteristics of the human metapneumovirus (HMPV) in Chinese patients with febrile respiratory syndrome (FRS), and to provide important baseline data for clinical diagnosis, treatment, prevention and control of HMPV-induced respiratory tract diseases in China.Methods:FRS cases from January 2009 to June 2021 in 9 provinces in China, including Beijing, Hebei, Jilin, Shandong, Shaanxi, Xinjiang, Anhui, Guangdong, Hunan were retrospectively analyzed for their respiratory samples, clinical and epidemic data.The respiratory samples were detected for HMPV by quantitative real-time PCR.Results:A total of 11 660 cases were tested for HMPV, involving 296 (2.54%) HMPV-positive cases.Among 296 HMPV-positive cases, 218 were single HMPV infection, and 78/296 (26.35%) were co-infected with one or more respiratory viruses.HMPV mainly affected children under 5 years of age (3.10%), and in this population, the proportion of pneumonia in HMPV co-infection cases was significantly higher than that of single HMPV infection.HMPV could be detected all year round, which was more popular in winter and spring, with the peak of HMPV epidemic in March.Conclusions:HMPV is one of the important pathogens causing acute respiratory infection in children, showing a clear seasonal epidemic.HMPV can be infected alone or in combination with other respiratory viruses, which may increase the risk of pneumonia in children.

Viral and Bacterial Etiology of Acute Febrile Respiratory Syndrome among Patients in Qinghai, China / 生物医学与环境科学（英文）

OBJECTIVE@#This study was conducted to investigate the viral and bacterial etiology and epidemiology of patients with acute febrile respiratory syndrome (AFRS) in Qinghai using a commercial routine multiplex-ligation-nucleic acid amplification test (NAT)-based assay.@*METHODS@#A total of 445 nasopharyngeal swabs specimens from patients with AFRS were analyzed using the RespiFinderSmart22kit (PathoFinder BV, Netherlands) and the LightCycler 480 real-time PCR system.@*RESULTS@#Among the 225 (225/445, 51%) positive specimens, 329 positive pathogens were detected, including 298 (90.58%) viruses and 31 (9%) bacteria. The most commonly detected pathogens were influenza virus (IFV; 37.39%; 123/329), adenovirus (AdV; 17.02%; 56/329), human coronaviruses (HCoVs; 10.94%; 36/329), rhinovirus/enterovirus (RV/EV; 10.03%; 33/329), parainfluenza viruses (PIVs; 8.51%; 28/329), and Mycoplasma pneumoniae (M. pneu; 8.51%; 28/329), respectively. Among the co-infected cases (17.53%; 78/445), IFV/AdV and IFV/M. pneu were the most common co-infections. Most of the respiratory viruses were detected in summer and fall.@*CONCLUSION@#In our study, IFV-A was the most common respiratory pathogen among 22 detected pathogens, followed by AdV, HCoV, RV/EV, PIV, and M. pneu. Bacteria appeared less frequently than viruses, and co-infection was the most common phenomenon among viral pathogens. Pathogens were distributed among different age groups and respiratory viruses were generally active in July, September, and November. Enhanced surveillance and early detection can be useful in the diagnosis, treatment, and prevention of AFRS, as well as for guiding the development of appropriate public health strategies.

Study on the classification of dominant pathogens related to febrile respiratory syndrome, based on the method of Bayes discriminant analysis / 中华流行病学杂志

Objective To understand the dominant pathogens of febrile respiratory syndrome (FRS) patients in Gansu province and to establish the Bayes discriminant function in order to identify the patients infected with the dominant pathogens.Methods FRS patients were collected in various sentinel hospitals of Gansu province from 2009 to 2015 and the dominant pathogens were determined by describing the composition of pathogenic profile.Significant clinical variables were selected by stepwise discriminant analysis to establish the Bayes discriminant function.Results In the detection of pathogens for FRS,both influenza virus and rhinovirus showed higher positive rates than those caused by other viruses (13.79％,8.63％),that accounting for 54.38％,13.73％ of total viral positive patients.Most frequently detected bacteria would include Streptococcus pneumoniae,and haemophilus influenza (44.41％,18.07％) that accounting for 66.21％ and 24.55％ among the bacterial positive patients.The original-validated rate of discriminant function,established by 11 clinical variables,was 73.1％,with the cross-validated rate as 70.6％.Conclusion Influenza virus,Rhinovirus,Streptococcus pneumoniae and Haemophilus influenzae were the dominant pathogens of FRS in Gansu province.Results from the Bayes discriminant analysis showed both higher accuracy in the classification of dominant pathogens,and applicative value for FRS.

Study on the classification of dominant pathogens related to febrile respiratory syndrome, based on the method of Bayes discriminant analysis / 中华流行病学杂志

Objective To understand the dominant pathogens of febrile respiratory syndrome (FRS) patients in Gansu province and to establish the Bayes discriminant function in order to identify the patients infected with the dominant pathogens.Methods FRS patients were collected in various sentinel hospitals of Gansu province from 2009 to 2015 and the dominant pathogens were determined by describing the composition of pathogenic profile.Significant clinical variables were selected by stepwise discriminant analysis to establish the Bayes discriminant function.Results In the detection of pathogens for FRS,both influenza virus and rhinovirus showed higher positive rates than those caused by other viruses (13.79％,8.63％),that accounting for 54.38％,13.73％ of total viral positive patients.Most frequently detected bacteria would include Streptococcus pneumoniae,and haemophilus influenza (44.41％,18.07％) that accounting for 66.21％ and 24.55％ among the bacterial positive patients.The original-validated rate of discriminant function,established by 11 clinical variables,was 73.1％,with the cross-validated rate as 70.6％.Conclusion Influenza virus,Rhinovirus,Streptococcus pneumoniae and Haemophilus influenzae were the dominant pathogens of FRS in Gansu province.Results from the Bayes discriminant analysis showed both higher accuracy in the classification of dominant pathogens,and applicative value for FRS.