Related Experiment Video
Updated: May 6, 2026

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels
Published on: August 7, 2017
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.
Background:
Prediction of subsequent school-age asthma during the preschool years has proven challenging.
Objective:
To confirm in a post hoc analysis the predictive ability of the modified Asthma Predictive Index (mAPI) ina high-risk cohort and a theoretical unselected population. We also tested a potential mAPI modification with a 2-wheezing episode requirement (m2API) in the same populations.
Methods:
Subjects (n [ 289) with a family history of allergy and/or asthma were used to predict asthma at age 6, 8, and 11 years with the use of characteristics collected during the first 3 years of life. The mAPI and the m2API were tested for predictive value.
Results:
For the mAPI and m2API, school-age asthma prediction improved from 1 to 3 years of age. The mAPI had high predictive value after a positive test (positive likelihood ratio ranging from 4.9 to 55) for asthma development at years 6,8, and 11. Lowering the number of wheezing episodes to 2(m2API) lowered the predictive value after a positive test(positive likelihood ratio ranging from 1.91 to 13.1) without meaningfully improving the predictive value of a negative test.Posttest probabilities for a positive mAPI reached 72% and 90%in unselected and high-risk populations, respectively.
Conclusions:
In a high-risk cohort, a positive mAPI greatly increased future asthma probability (eg, 30% pretest probability to 90% posttest probability) and is a preferred predictive test to them 2API. With its more favorable positive posttest probability,the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.
Related Concept Videos
Asthma III: Clinical Manifestations
Asthma-I: Introduction
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma I: Introduction
Asthma-IV: Nursing Management
First, in...
