title: European risk factors' model to predict hospitalization of premature infants born 33-35 weeks' gestational age with respiratory syncytial virus: validation with Italian data.
abstract: OBJECTIVE
  A model for predicting respiratory syncytial virus hospitalization in infants born 33-35 weeks' gestational age (wGA) has been developed from the Spanish FLIP study risk factors. The model correctly classified 71% of cases and the area under the receiver operating characteristic (ROC) curve was 0.791. To assess its applicability in Italy, the model was validated against data from the Osservatorio VRS study.
  
  
  METHODS
  Discriminant function analysis was used to validate the model by (a) using the predictive variables identified in FLIP to generate a function from the Italian data and (b) applying the coefficients from the FLIP calculations to the Italian data.
  
  
  RESULTS
  The function calculated from the Italian data provided 77% accurate classification (ROC: 0.773). Applying the FLIP coefficients to the Italian data resulted in correctly classifying 68% of cases and a ROC of 0.760. The number needed to treat to prevent hospitalization of 80% of at risk infants was 13.4, based on a hospitalization rate of 5% and 80% treatment efficacy.
  
  
  CONCLUSIONS
  The Italian data confirm the predictive ability of the model, which could be used to target palivizumab prophylaxis in Italian infants born 33-35 wGA.
authors.affiliation: Department of Pediatrics, Section of Infectious Diseases, The University of Colorado Denver School of Medicine and The Children's Hospital, Denver, Colorado, USA.
authors.forename: Eric A F
authors.initials: EA
authors.lastname: Simões
authors.forename: Xavier
authors.initials: X
authors.lastname: Carbonell-Estrany
authors.forename: John R
authors.initials: JR
authors.lastname: Fullarton
authors.forename: Giovanni A
authors.initials: GA
authors.lastname: Rossi
authors.forename: Ignazio
authors.initials: I
authors.lastname: Barberi
authors.forename: Marcello
authors.initials: M
authors.lastname: Lanari
mesh_terms: D005865:Gestational Age; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D007235:Infant, Premature, Diseases / Q000453:epidemiology*; D007558:Italy / Q000453:epidemiology; D015233:Models, Statistical; D011446:Prospective Studies; D012372:ROC Curve; D018357:Respiratory Syncytial Virus Infections / Q000453:epidemiology*; D012307:Risk Factors