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

• 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
• Subjects: Antiretroviral drugs; cell counting; Cell number; evolution; fusion protein; genetic variability; Genomes; infection; Infections; pathogenesis; Patients; Pharynx; research and analysis methods; Respiratory syncytial virus; Respiratory tract; Respiratory tract diseases; Respiratory tract infection; Virology; virus classification; Viruses; pathogenesis; fusion protein; infection; research and analysis methods; respiratory tract; cell counting; evolution; virus classification; respiratory syncytial virus; genetic variability
• ISSN: 0146-6615; 1096-9071
• DOI: 10.1002/jmv.25020

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.