Human respiratory syncytial virus load normalized by cell quantification as predictor of acute respiratory tract infection

Human respiratory syncytial virus (HRSV) is a common cause of respiratory infections. The main objective is to analyze the prediction ability of viral load of HRSV normalized by cell number in respiratory symptoms. A prospective, descriptive, and analytical study was performed. From 7307 respiratory...

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Bibliographic Details
Published in:Journal of medical virology Vol. 90; no. 5; pp. 861 - 866
Main Authors: Gómez‐Novo, Miriam, Boga, José A., Álvarez‐Argüelles, Marta E., Rojo‐Alba, Susana, Fernández, Ana, Menéndez, María J., de Oña, María, Melón, Santiago
Format: Journal Article
Language:English
Published: United States Wiley Subscription Services, Inc 01-05-2018
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Summary:Human respiratory syncytial virus (HRSV) is a common cause of respiratory infections. The main objective is to analyze the prediction ability of viral load of HRSV normalized by cell number in respiratory symptoms. A prospective, descriptive, and analytical study was performed. From 7307 respiratory samples processed between December 2014 to April 2016, 1019 HRSV‐positive samples, were included in this study. Low respiratory tract infection was present in 729 patients (71.54%). Normalized HRSV load was calculated by quantification of HRSV genome and human β‐globin gene and expressed as log10 copies/1000 cells. HRSV mean loads were 4.09 ± 2.08 and 4.82 ± 2.09 log10 copies/1000 cells in the 549 pharyngeal and 470 nasopharyngeal samples, respectively (P < 0.001). The viral mean load was 4.81 ± 1.98 log10 copies/1000 cells for patients under the age of 4‐year‐old (P < 0.001). The viral mean loads were 4.51 ± 2.04 cells in patients with low respiratory tract infection and 4.22 ± 2.28 log10 copies/1000 cells with upper respiratory tract infection or febrile syndrome (P < 0.05). A possible cut off value to predict LRTI evolution was tentatively established. Normalization of viral load by cell number in the samples is essential to ensure an optimal virological molecular diagnosis avoiding that the quality of samples affects the results. A high viral load can be a useful marker to predict disease progression.
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ISSN:0146-6615
1096-9071
DOI:10.1002/jmv.25020