POPULATION BASED EXTERNAL VALIDATION OF A EUROPEAN PREDICTIVE MODEL FOR RESPIRATORY SYNCYTIAL VIRUS HOSPITALIZATION OF PREMATURE INFANTS BORN 33 TO 35 WEEKS OF GESTATIONAL AGE

Prospectively collected population-based data on 2529 Danish infants born at 33 to 35 weeks of gestation were used to validate an European predictive model of respiratory syncytial virus (RSV) hospitalization. The model was found to be robust with a diagnostic accuracy of 65.9% to distinguish between RSV-hospitalized versus non-RSV-hospitalized Danish infants born at 33 to 35 weeks of gestation.

[1]  Ian Mitchell,et al.  The Pediatric Investigators Collaborative Network on Infections in Canada Study of Predictors of Hospitalization for Respiratory Syncytial Virus Infection for Infants Born at 33 Through 35 Completed Weeks of Gestation , 2004, The Pediatric infectious disease journal.

[2]  José Quero,et al.  Case-Control Study of the Risk Factors Linked to Respiratory Syncytial Virus Infection Requiring Hospitalization in Premature Infants Born at a Gestational Age of 33–35 Weeks in Spain , 2004, The Pediatric infectious disease journal.

[3]  B. Paes,et al.  Predictive value of the respiratory syncytial virus risk-scoring tool in the term infant in Canada , 2008, Current medical research and opinion.

[4]  Peter Aaby,et al.  Atopic Disposition, Wheezing, and Subsequent Respiratory Syncytial Virus Hospitalization in Danish Children Younger Than 18 Months: A Nested Case-Control Study , 2006, Pediatrics.

[5]  B. Paes,et al.  Risk-Scoring Tool for respiratory syncytial virus prophylaxis in premature infants born at 33–35 completed weeks’ gestational age in Canada* , 2009, Current medical research and opinion.

[6]  Henrik Toft Sørensen,et al.  The Danish National Birth Cohort - its background, structure and aim , 2001, Scandinavian journal of public health.

[7]  E. Simões,et al.  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 , 2008, Respiratory research.