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Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics
Variability in severity among different respiratory syncytial virus (RSV) seasons may influence hospital admission rates for RSV-induced lower respiratory tract infection (LRTI) in young children. The aim of the present study was to identify through logistic regression analysis, risk factors associa...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2042510/ https://www.ncbi.nlm.nih.gov/pubmed/17308898 http://dx.doi.org/10.1007/s00431-007-0418-y |
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author | Rossi, Giovanni A. Medici, Maria Cristina Arcangeletti, Maria Cristina Lanari, Marcello Merolla, Rocco Paparatti, Umberto Di Luzio Silvestri, Michela Pistorio, Angela Chezzi, Carlo |
author_facet | Rossi, Giovanni A. Medici, Maria Cristina Arcangeletti, Maria Cristina Lanari, Marcello Merolla, Rocco Paparatti, Umberto Di Luzio Silvestri, Michela Pistorio, Angela Chezzi, Carlo |
author_sort | Rossi, Giovanni A. |
collection | PubMed |
description | Variability in severity among different respiratory syncytial virus (RSV) seasons may influence hospital admission rates for RSV-induced lower respiratory tract infection (LRTI) in young children. The aim of the present study was to identify through logistic regression analysis, risk factors associated with higher likelihood to acquire RSV-induced LRTI, in children with symptoms severe enough to lead to hospital admission. Over four consecutive RSV seasons (2000–2004), records from children <4 years of age admitted for RSV-induced LRTI (“cases”) were compared with those from children with LRTI not due to RSV and not requiring hospitalization (“controls”). 145 “case-patients” and 295 “control-patients” were evaluated. Independent from the severity of the four epidemic seasons, seven predictors for hospitalization for RSV infection were found in the bivariate analysis: number of children in the family, chronological age at the onset of RSV season, birth weight and gestational age, birth order, daycare attendance, previous RSV infections. In the logistic regression analysis, only three predictors were detected: chronological age at the beginning of RSV season [aOR = 8.46; 95% CI:3.09–23.18]; birth weight category [aOR = 7.70; 95% CI:1.29–45.91]; birth order (aOR = 1.92; 95% CI:1.21–3.06). Conclusions: Independent from the RSV seasonality, specific host/environmental factors can be used to identify children at greatest risk for hospitalization for RSV infection. |
format | Text |
id | pubmed-2042510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-20425102007-10-29 Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics Rossi, Giovanni A. Medici, Maria Cristina Arcangeletti, Maria Cristina Lanari, Marcello Merolla, Rocco Paparatti, Umberto Di Luzio Silvestri, Michela Pistorio, Angela Chezzi, Carlo Eur J Pediatr Original Paper Variability in severity among different respiratory syncytial virus (RSV) seasons may influence hospital admission rates for RSV-induced lower respiratory tract infection (LRTI) in young children. The aim of the present study was to identify through logistic regression analysis, risk factors associated with higher likelihood to acquire RSV-induced LRTI, in children with symptoms severe enough to lead to hospital admission. Over four consecutive RSV seasons (2000–2004), records from children <4 years of age admitted for RSV-induced LRTI (“cases”) were compared with those from children with LRTI not due to RSV and not requiring hospitalization (“controls”). 145 “case-patients” and 295 “control-patients” were evaluated. Independent from the severity of the four epidemic seasons, seven predictors for hospitalization for RSV infection were found in the bivariate analysis: number of children in the family, chronological age at the onset of RSV season, birth weight and gestational age, birth order, daycare attendance, previous RSV infections. In the logistic regression analysis, only three predictors were detected: chronological age at the beginning of RSV season [aOR = 8.46; 95% CI:3.09–23.18]; birth weight category [aOR = 7.70; 95% CI:1.29–45.91]; birth order (aOR = 1.92; 95% CI:1.21–3.06). Conclusions: Independent from the RSV seasonality, specific host/environmental factors can be used to identify children at greatest risk for hospitalization for RSV infection. Springer-Verlag 2007-02-17 2007-12 /pmc/articles/PMC2042510/ /pubmed/17308898 http://dx.doi.org/10.1007/s00431-007-0418-y Text en © Springer-Verlag 2007 |
spellingShingle | Original Paper Rossi, Giovanni A. Medici, Maria Cristina Arcangeletti, Maria Cristina Lanari, Marcello Merolla, Rocco Paparatti, Umberto Di Luzio Silvestri, Michela Pistorio, Angela Chezzi, Carlo Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title | Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title_full | Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title_fullStr | Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title_full_unstemmed | Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title_short | Risk factors for severe RSV-induced lower respiratory tract infection over four consecutive epidemics |
title_sort | risk factors for severe rsv-induced lower respiratory tract infection over four consecutive epidemics |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2042510/ https://www.ncbi.nlm.nih.gov/pubmed/17308898 http://dx.doi.org/10.1007/s00431-007-0418-y |
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