Novel Risk Prediction Tool Effective For Identifying Infants At Increased Risk For Severe RSV Outcomes, Study Finds

Infectious Disease Advisor (4/10) reports, “A novel risk prediction tool was found to be effective for identifying infants at increased risk for severe outcomes due to respiratory syncytial virus (RSV)-related lower respiratory tract infection (LRTI), according to findings published in Open Forum Infectious Diseases.” In the study, “researchers found that the tool had good predictive accuracy for identifying infants at risk for ICU admission due to severe RSV-related LRTI, with an area under the curve (AUC) of 0.78. In a sensitivity analysis of high-risk preterm infants (n=49,209), the tool demonstrated similar discriminative performance.”