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Analysis of pathogen detection results of upper respiratory tract specimens from fever clinic patients
Journal of Tropical Medicine ; 22(12):1661-1665, 2022.
Article in Chinese | GIM | ID: covidwho-20245315
ABSTRACT

Objective:

To explore the pathogen composition and distribution characteristics of pathogens in respiratory samples from patients with fever of unknown origin.

Methods:

A total of 96 respiratory samples of patients with unknown cause fever with respiratory symptoms were collected from four hospitals above grade II in Shijiazhuang area (Hebei Provincial Hospital of Traditional Chinese Medicine, Luancheng District People's Hospital, Luquan District People's Hospital, Shenze County Hospital) from January to April 2020, and multiplex-fluorescent polymerase chain reaction(PCR)was used to detect influenza A virus, influenza B virus, enterovirus, parainfluenza virus I/II/III/IV, respiratory adenovirus, human metapneumovirus, respiratory syncytial virus, human rhinovirus, human bocavirus, COVID-19, Mycoplasma pneumoniae, Chlamydia pneumoniae, Legionella pneumophila, Pseudomonas aeruginosa, Streptococcus pneumoniae, Klebsiella pneumoniae, Group A streptococcus, Haemophilus influenzae, Staphylococcus aureus nucleic acid detection, the results were analyzed for chi-square.

Results:

A total of 8 pathogens were detected in the upper respiratory tract samples of 96 fever patients, including 1 kind of virus, 6 kinds of bacterias, and Mycoplasma pneumoniae. There were 12 viruses including influenza virus and parainfluenza virus, Legionella pneumophila and Chlamydia pneumoniae were not detected. The pathogen detection rates in descending order were Streptococcus pneumoniae (58/96, 60.42%), Haemophilus influenzae(38/96, 39.58%), Klebsiella pneumoniae (14/96, 14.58%), Staphylococcus aureus (10/96, 10.42%), Mycoplasma pneumoniae (8/96, 8.33%), Pseudomonas aeruginosa (6/96, 6.25%), Group A streptococcus (4/96, 4.17%) and human rhinovirus (2/96, 2.08%). The proportions of single-pathogen infection and multi-pathogen mixed infection in fever clinic patients were similar, 41.67% (40/96) and 45.83% (44/96), respectively, and 12.50% (12/96)of the cases had no pathogens detected. The infection rate of Mycoplasma pneumoniae in female patients with fever (21.43%) was higher than that in male patients with fever (2.94%) (P < 0.05). There was no statistical difference between the distribution of of other pathogens and gender and age(P > 0.05).

Conclusions:

The upper respiratory tract pathogens were mainly bacterial infections, and occasional human rhinovirus and Mycoplasma pneumonia infections. In clinical diagnosis and treatment, comprehensive consideration should be given to the pathogen detection.
Keywords
aetiology; bacterial diseases; coronavirus disease 2019; disease distribution; epidemiology; fever; group A streptococci; human diseases; human enteroviruses; human rhinoviruses; influenza A; influenza B; Legionnaires' disease; men; pathogens; respiratory diseases; sex differences; upper respiratory tract infections; viral diseases; women; Adenoviridae; Chlamydophila pneumoniae; Haemophilus influenzae; Human bocavirus; Human metapneumovirus; Human parainfluenza virus 1; Human parainfluenza virus 2; Human parainfluenza virus 3; Human parainfluenza virus 4; Human respiratory syncytial virus; Influenza A virus; Influenza B virus; Klebsiella pneumoniae; Legionella pneumophila; man; Mycoplasma pneumoniae; Pseudomonas aeruginosa; Severe acute respiratory syndrome coronavirus 2; Staphylococcus aureus; Streptococcus pneumoniae; Streptococcus; Streptococcaceae; Enterovirus; China; Hebei; dsDNA Viruses; DNA Viruses; viruses; APEC countries; East Asia; Asia; high Human Development Index countries; upper-middle income countries; Chlamydophila; Chlamydiaceae; Chlamydiales; Chlamydiae; Bacteria; prokaryotes; Haemophilus; Pasteurellaceae; Pasteurellales; Gammaproteobacteria; Proteobacteria; Northern China; Bocavirus; Parvovirinae; Parvoviridae; ssDNA Viruses; Metapneumovirus; Pneumovirinae; Paramyxoviridae; Mononegavirales; negative-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; Respirovirus; Paramyxovirinae; Rubulavirus; Pneumovirus; Influenzavirus A; Orthomyxoviridae; Influenzavirus B; Klebsiella; Enterobacteriaceae; Enterobacteriales; Legionella; Legionellaceae; Legionellales; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Mycoplasma; Mycoplasmataceae; Mycoplasmatales; Mollicutes; Tenericutes; Pseudomonas; Pseudomonadaceae; Pseudomonadales; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; Staphylococcus; Staphylococcaceae; Bacillales; Bacilli; Firmicutes; Lactobacillales; Picornaviridae; Picornavirales; fever of unknown origin; causal agents; etiology; bacterial infections; bacterioses; bacterium; People's Republic of China; pyrexia; lung diseases; SARS-CoV-2; viral infections

Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Prognostic study Topics: Traditional medicine Language: Chinese Journal: Journal of Tropical Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Prognostic study Topics: Traditional medicine Language: Chinese Journal: Journal of Tropical Medicine Year: 2022 Document Type: Article