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Molecular etiological profile of atypical bacterial pathogens, viruses and coinfections among infants and children with community acquired pneumonia admitted to a national hospital in Lima, Peru

Overview of attention for article published in BMC Research Notes, December 2017
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Title
Molecular etiological profile of atypical bacterial pathogens, viruses and coinfections among infants and children with community acquired pneumonia admitted to a national hospital in Lima, Peru
Published in
BMC Research Notes, December 2017
DOI 10.1186/s13104-017-3000-3
Pubmed ID
Authors

Juana del Valle-Mendoza, Wilmer Silva-Caso, Angela Cornejo-Tapia, Fiorella Orellana-Peralta, Eduardo Verne, Claudia Ugarte, Miguel Angel Aguilar-Luis, María del Carmen De Lama-Odría, Ronald Nazario-Fuertes, Mónica Esquivel-Vizcarra, Verónica Casabona-Ore, Pablo Weilg, Luis J. del Valle

Abstract

The main objective of this study was to detect the presence of 14 respiratory viruses and atypical bacteria (Mycoplasma pneumoniae, Chlamydia pneumoniae), via polymerase chain reaction in patients under 18 years old hospitalized due to community-acquired pneumonia (CAP) from Lima, Peru. Atypical pathogens were detected in 40% (58/146); viral etiologies in 36% (52/146) and coinfections in 19% (27/146). The most common etiological agent was M. pneumoniae (n = 47), followed by C. pneumoniae (n = 11). The most frequent respiratory viruses detected were: respiratory syncytial virus A (n = 35), influenza virus C (n = 21) and parainfluenza virus (n = 10). Viral-bacterial and bacterium-bacterium coinfections were found in 27 cases. In our study population, atypical bacteria (40%) were detected as frequently as respiratory viruses (36%). The presence of M. pneumoniae and C. pneumoniae should not be underestimated as they can be commonly isolated in Peruvian children with CAP.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Master 4 11%
Professor 3 8%
Student > Bachelor 3 8%
Other 3 8%
Other 9 24%
Unknown 11 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 5 13%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 2 5%
Materials Science 2 5%
Other 8 21%
Unknown 11 29%