2008
DOI: 10.1186/1465-9921-9-78
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A predictive model for respiratory syncytial virus (RSV) hospitalisation of premature infants born at 33–35 weeks of gestational age, based on data from the Spanish FLIP study

Abstract: Background: The aim of this study, conducted in Europe, was to develop a validated risk factor based model to predict RSV-related hospitalisation in premature infants born 33-35 weeks' gestational age (GA).

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Cited by 77 publications
(80 citation statements)
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“…Until now, RSV specific data on unselected healthy children were lacking. Several prediction models for RSV hospitalisation in infants have been published [18,23,24], but none incorporated neonatal lung function measurements.…”
Section: Discussionmentioning
confidence: 99%
“…Until now, RSV specific data on unselected healthy children were lacking. Several prediction models for RSV hospitalisation in infants have been published [18,23,24], but none incorporated neonatal lung function measurements.…”
Section: Discussionmentioning
confidence: 99%
“…To be financially viable, palivizumab is provided to only those children at high risk for complicated RSV hospitalization rather than to all children [144].…”
Section: Predicting Rsv Hospitalizationmentioning
confidence: 99%
“…To help clinicians identify the best candidates for palivizumab immunization, a model is often used to predict the likelihood that a specific child will experience RSV hospitalization in the next few months [144].…”
Section: Predicting Rsv Hospitalizationmentioning
confidence: 99%
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