TY - JOUR
T1 - Risk of Asthma in Late Preterm Infants
T2 - A Propensity Score Approach
AU - Voge, Gretchen A.
AU - Katusic, Slavica K.
AU - Qin, Rui
AU - Juhn, Young J.
N1 - Funding Information:
This work was supported by the Clinician Scholarly Award from the Mayo Foundation and it was made possible by the Rochester Epidemiology Project ( R01-AG34676 ) from the National Institute on Aging .
Funding Information:
We thank the Pediatric Asthma Epidemiology Research Unit's staff for their comments and suggestions. Research reported in this publication was supported by the National Institute of Allergy and Infectious Diseases ( R21 AI101277 ) and the Scholarly Clinician Award from the Mayo Foundation. It was also made possible by the support from the National Institute on Aging of the National Institutes of Health under Award Number R01AG034676 .
Publisher Copyright:
& Immunology.
PY - 2015/11
Y1 - 2015/11
N2 - Background: The risk of asthma, specifically in former late preterm infants, has not been well defined. Covariate imbalance and lack of controlling for this has led to inconsistent results in prior studies. Objective: The objective of this study was to determine the risk of asthma in former late preterm infants using a propensity score approach. Methods: The study was a population-based birth cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1982. Asthma status during the first 7 years of life was assessed by applying predetermined criteria. The propensity score was formulated using 15 covariates by fitting a logistic regression model for late preterm birth versus term birth. We applied the propensity score method to match late preterm infants (34 0/7 to 36 6/7 weeks of gestation) to term infants (37 0/7 to 40 6/7 weeks of gestation) within a caliper of 0.2 standard deviation of logit of propensity score. Results: Of the eligible 7040 infants, 5915 children had complete data. Before propensity score matching, late preterm infants had a higher risk of asthma (20 of 262, 7.6%) compared with full-term infants (272 of 5653, 4.8%) (P = 039). There was significant covariate imbalance between comparison groups. After matching with propensity scores, we found that former late preterm infants had a similar risk of asthma to the matched full-term infants (6.6% vs 7.7%, respectively, P = 61), and the result was consistent with covariate-adjustment Cox regression models controlling for significant covariates (P = 57). Conclusion: A late preterm birth history is not independently associated with childhood asthma, as the reported risk of asthma among former late preterm infants appears to be due to covariate imbalance.
AB - Background: The risk of asthma, specifically in former late preterm infants, has not been well defined. Covariate imbalance and lack of controlling for this has led to inconsistent results in prior studies. Objective: The objective of this study was to determine the risk of asthma in former late preterm infants using a propensity score approach. Methods: The study was a population-based birth cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1982. Asthma status during the first 7 years of life was assessed by applying predetermined criteria. The propensity score was formulated using 15 covariates by fitting a logistic regression model for late preterm birth versus term birth. We applied the propensity score method to match late preterm infants (34 0/7 to 36 6/7 weeks of gestation) to term infants (37 0/7 to 40 6/7 weeks of gestation) within a caliper of 0.2 standard deviation of logit of propensity score. Results: Of the eligible 7040 infants, 5915 children had complete data. Before propensity score matching, late preterm infants had a higher risk of asthma (20 of 262, 7.6%) compared with full-term infants (272 of 5653, 4.8%) (P = 039). There was significant covariate imbalance between comparison groups. After matching with propensity scores, we found that former late preterm infants had a similar risk of asthma to the matched full-term infants (6.6% vs 7.7%, respectively, P = 61), and the result was consistent with covariate-adjustment Cox regression models controlling for significant covariates (P = 57). Conclusion: A late preterm birth history is not independently associated with childhood asthma, as the reported risk of asthma among former late preterm infants appears to be due to covariate imbalance.
KW - Asthma
KW - Epidemiology
KW - Late preterm infants
KW - Propensity score
KW - Risk
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U2 - 10.1016/j.jaip.2015.03.018
DO - 10.1016/j.jaip.2015.03.018
M3 - Article
C2 - 25944734
AN - SCOPUS:84946408502
SN - 2213-2198
VL - 3
SP - 905
EP - 910
JO - Journal of Allergy and Clinical Immunology: In Practice
JF - Journal of Allergy and Clinical Immunology: In Practice
IS - 6
ER -