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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

Content Editor: Dr. Soundhar
  • 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.

Click here to read more.

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