Evaluation of the modified asthma predictive index in high-risk preschool children

Insights

The modified Asthma Predictive Index (mAPI) accurately predicts school-age asthma in preschoolers. A positive mAPI significantly increases the likelihood of developing asthma, aiding clinical decisions for early risk assessment.

Area of Science:

  • Pediatric Pulmonology
  • Allergy and Immunology
  • Epidemiology

Background:

  • Predicting school-age asthma in preschoolers is a significant clinical challenge.
  • Early identification of children at risk for asthma is crucial for timely intervention.

Purpose of the Study:

  • To validate the predictive accuracy of the modified Asthma Predictive Index (mAPI) for school-age asthma.
  • To evaluate a modified index (m2API) requiring fewer wheezing episodes.
  • To assess predictive performance in both high-risk and general populations.

Main Methods:

  • A cohort of 289 children with a family history of allergy/asthma was followed.
  • Asthma at ages 6, 8, and 11 was predicted using data from the first three years of life.
  • The predictive values of mAPI and m2API were compared using likelihood ratios and posttest probabilities.

Main Results:

  • Both mAPI and m2API improved asthma prediction from 1 to 3 years of age.
  • The mAPI demonstrated high positive predictive value (LR 4.9-55) for asthma development.
  • The m2API showed reduced positive predictive value compared to mAPI without significant improvement in negative predictive value.

Conclusions:

  • The mAPI is a preferred predictive tool over m2API due to its superior positive predictive value.
  • A positive mAPI significantly elevates the probability of future asthma (e.g., 30% to 90% in high-risk groups).
  • The mAPI aids clinicians in assessing asthma risk in preschool-aged children.
Abstract

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