Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity
Joint Authors
Dai, Hui
Xi, Hongli
Huang, Li
Yuan, Zhaohu
Liao, Yike
Tang, Yongcai
Liao, Jun
Min, Ling
Yu, Zhiwu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
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.
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.
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.
American Psychological Association (APA)
Dai, Hui& Xi, Hongli& Huang, Li& Yuan, Zhaohu& Liao, Yike& Tang, Yongcai…[et al.]. 2020. Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133904
Modern Language Association (MLA)
Dai, Hui…[et al.]. Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1133904
American Medical Association (AMA)
Dai, Hui& Xi, Hongli& Huang, Li& Yuan, Zhaohu& Liao, Yike& Tang, Yongcai…[et al.]. Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1133904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133904