Development of a tool to predict severe RSV in infants: Findings of a population-based cohort study
Content Editor: Dr. Soundhar
June 6, 2024 at 2:00:00 PM
International health, Infectious disease, Child health

To predict infants with severe RSV LRTI requiring ICU admission in their first year of life, a study was conducted by a team from Vanderbilt University in the U.S. with a multivariable logistic regression model.
This study was a population-based birth cohort study of infants insured by the Tennessee Medicaid Program.
The study included infants who did not receive RSV immunoprophylaxis.
The primary outcome was severe RSV LRTI requiring ICU admission during the first year of life.
The tool utilized a comprehensive set of 19 demographic and clinic variables collected shortly after birth.
These variables, such as prenatal smoking, delivery method, maternal age, and assisted breathing during hospitalization, were carefully selected to ensure the accuracy and reliability of the study's predictions.
Only 0.2% of the 429,365 infants required ICU admission, and the tool had good predictive accuracy (AUC=0.78) and internal validation.
The tool can also assist in persuading RSV immunoprophylaxis families to get the vaccination.
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