- NIHPA Author Manuscripts
- PMC3811153
J Allergy Clin Immunol Pract. Author manuscript; available in PMC Mar 1, 2014.
Published in final edited form as:
Published online Dec 28, 2012. doi: 10.1016/j.jaip.2012.10.008
PMCID: PMC3811153
NIHMSID: NIHMS520617
Evaluation of the Modified Asthma Predictive Index in High-Risk Preschool Children
Timothy S. Chang, PhD,a Robert F. Lemanske, Jr., MD,b,c Theresa W. Guilbert, MD, MS,b James E. Gern, MD,b,cMichael H. Coen, PhD,a Michael D. Evans, MS,a Ronald E. Gangnon, PhD,a C. David Page, PhD,a and Daniel J. Jackson, MDb
The publisher's final edited version of this article is available at J Allergy Clin Immunol Pract
Abstract
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) in a 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 the m2API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.
Keywords: Asthma, Wheezing, Children, Asthma predictive index, Modified asthma predictive index
Formats:
- Article |
- PubReader |
- ePub (beta) |
- PDF (51K)
Abstract
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) in a 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 the m2API. With its more favorable positive posttest probability, the mAPI can aid clinical decision making in assessing future asthma risk for preschool-age children.
Keywords:
No comments:
Post a Comment