Background: A model to predict hospitalization due to respiratory syncytial virus (RSV) of infants born at 33– 35 weeks' gestation was developed using seven risk factors from the Spanish FLIP study “birth ±10 weeks from the beginning of the RSV season”, “birth weight”, “breast fed ≤2 months”, “number of siblings ≥2 years”, “number of family members with atopy”, “number of family members with wheezing”, and “gender”. The aim of this study was to validate the model using French data.
Methods: The FLIP model [predictive accuracy 71%, receiver operating characteristic (ROC) 0.791] was tested against the French data (77 hospitalized infants with RSV born at 33–35 weeks and 154 age-matched controls) using discriminatory function analysis by applying the FLIP coefficients to the French data and by generating the seven variable model from the French data.
Results: Applying the FLIP coefficients to the French dataset, the model correctly classified 69% of cases (ROC 0.627). The predictive power increased to 73% (ROC 0.654) when “number of siblings ≥2 years” was substituted for “number of children at school”. The number needed to treat (NNT) in order to prevent 70% of hospitalizations was 18. The model derived using French data could correctly classify 62% of cases in the French data (ROC 0.658).
Conclusions: The model was successfully validated and may potentially optimize immunoprophylaxis in French infants born at 33–35 week's gestation.