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            <name>Title</name>
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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Viral Co-Infections in Pediatric Patients Hospitalized with Lower Tract Acute Respiratory Infections.</text>
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              <text>Miriam Cebey-López, Jethro Herberg, Jacobo Pardo-Seco, Alberto Gómez-Carballa, Nazareth Martinón-Torres, Antonio Salas, José María Martinón-Sánchez, Stuart Gormley, Edward Sumner, Colin Fink, Federico Martinón-Torres, GENDRES network</text>
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              <text>Molecular techniques can often reveal a broader range of pathogens in respiratory infections. We aim to investigate the prevalence and age pattern of viral co-infection in children hospitalized with lower tract acute respiratory infection (LT-ARI), using molecular techniques.A nested polymerase chain reaction approach was used to detect Influenza (A, B), metapneumovirus, respiratory syncytial virus (RSV), parainfluenza (1-4), rhinovirus, adenovirus (A-F), bocavirus and coronaviruses (NL63, 229E, OC43) in respiratory samples of children with acute respiratory infection prospectively admitted to any of the GENDRES network hospitals between 2011-2013. The results were corroborated in an independent cohort collected in the UK.A total of 204 and 97 nasopharyngeal samples were collected in the GENDRES and UK cohorts, respectively. In both cohorts, RSV was the most frequent pathogen (52.9% and 36.1% of the cohorts, respectively). Co-infection with multiple viruses was found in 92 samples (45.1%) and 29 samples (29.9%), respectively; this was most frequent in the 12-24 months age group. The most frequently observed co-infection patterns were RSV-Rhinovirus (23 patients, 11.3%, GENDRES cohort) and RSV-bocavirus / bocavirus-influenza (5 patients, 5.2%, UK cohort).The presence of more than one virus in pediatric patients admitted to hospital with LT-ARI is very frequent and seems to peak at 12-24 months of age. The clinical significance of these findings is unclear but should warrant further analysis.</text>
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              <text>2015</text>
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              <text>DOI: 10.1371/journal.pone.0136526</text>
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              <text>PLoS ONE</text>
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          <name>Publisher</name>
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              <text>Public Library of Science (PLoS)</text>
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              <text>Science, Medicine</text>
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              <text>EN</text>
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