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Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity.

Authors :
Dai H
Xi H
Huang L
Yuan Z
Liao Y
Tang Y
Liao J
Min L
Yu Z
Source :
BioMed research international [Biomed Res Int] 2020 Oct 21; Vol. 2020, pp. 4357910. Date of Electronic Publication: 2020 Oct 21 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background: Human adenoviruses (HAdVs) are commonly causing respiratory disease. We molecularly genotyped HAdV circulating in Chinese hospitalized children with respiratory infections and summarized the clinical profiles and common inflammatory biomarkers, so as to better determine their associations with disease severity.<br />Method: Children with respiratory single HAdV infection cases that occurred from December 2017 to March 2019 were enrolled for a cross-sectional study. Clinical/laboratory features based on the genotypes of respiratory HAdV infection were reviewed for comparative analysis.<br />Results: A total of 84 patients were enrolled, and HAdV types were identified from 82 patients. Species B (HAdV-7, 44%; HAdV-3, 43%, and HAdV-14, 5%) was the most common, followed by C (HAdV-2, 4% and HAdV-1, 1%) and E (HAdV-4, 1%). Severe HAdV infection and HAdV-7 infection groups were associated with significantly longer duration of fever and hospitalized days, higher morbidity of tachypnea/dyspnea, more pleural effusion, more respiratory rales, more frequently required mechanical ventilation, and significantly higher fatality rate. The elevated procalcitonin (PCT) and C-reactive protein (CRP) levels were significantly associated with severe HAdV infection.<br />Conclusions: HAdV-7 and HAdV-3 were the most common types among children with respiratory adenovirus infection; vaccines against these two genotypes are in urgent need. PCT and CRP are significantly associated with the severity of HAdV infection.<br />Competing Interests: All the authors have reviewed this manuscript and declared no conflict of interest.<br /> (Copyright © 2020 Hui Dai et al.)

Details

Language :
English
ISSN :
2314-6141
Volume :
2020
Database :
MEDLINE
Journal :
BioMed research international
Publication Type :
Academic Journal
Accession number :
33145348
Full Text :
https://doi.org/10.1155/2020/4357910