Fetal lung growth predicts the risk for early-life respiratory infections and childhood asthma

Dimitra E.Zazara ¹Olympia Giannou ²Steven Schepanski ³Mirja Pagenkemper ⁴Anastasios D.Giannou ⁵Maike Pincus ⁶loannis Belios ⁷Stefan Bonn ⁸Ania C.Muntau ⁹Kurt Hecher ⁴Anke Diemert ⁴Petra Clara Arck¹⁰

扫码查看

作者信息

1. Division for Experimental Feto-Maternal Medicine,Department of Obstetrics and Fetal Medicine,University Medical Center Hamburg-Eppendorf(UKE),Martinistraße 52,20251 Hamburg,Germany;University Children's Hospital,UKE,Hamburg,Germany
2. Computer Engineering and Informatics Department,Polytechnic School,University of Patras,Patras,Greece
3. Division for Experimental Feto-Maternal Medicine,Department of Obstetrics and Fetal Medicine,University Medical Center Hamburg-Eppendorf(UKE),Martinistraße 52,20251 Hamburg,Germany;Institute of Developmental Neurophysiology,Center for Molecular Neurobiology Hamburg(ZMNH),UKE,Hamburg,Germany
4. Department of Obstetrics and Fetal Medicine,UKE,Hamburg,Germany
5. Department of General,Visceral and Thoracic Surgery,UKE,Hamburg,Germany;Section of Molecular Immunology and Gastroenterology,Ⅰ.Department of Medicine,UKE,Hamburg,Germany
6. Pediatrics and Pediatric Pneumology Practice,Berlin,Germany
7. Division for Experimental Feto-Maternal Medicine,Department of Obstetrics and Fetal Medicine,University Medical Center Hamburg-Eppendorf(UKE),Martinistraße 52,20251 Hamburg,Germany
8. Institute of Medical Systems Biology,ZMNH,UKE,Hamburg,Germany;Hamburg Center for Translational Immunology,UKE,Hamburg,Germany
9. University Children's Hospital,UKE,Hamburg,Germany
10. Division for Experimental Feto-Maternal Medicine,Department of Obstetrics and Fetal Medicine,University Medical Center Hamburg-Eppendorf(UKE),Martinistraße 52,20251 Hamburg,Germany;Hamburg Center for Translational Immunology,UKE,Hamburg,Germany
折叠

Abstract

Background Early-life respiratory infections and asthma are major health burdens during childhood.Markers predicting an increased risk for early-life respiratory diseases are sparse.Here,we identified the predictive value of ultrasound-monitored fetal lung growth for the risk of early-life respiratory infections and asthma.Methods Fetal lung size was serially assessed at standardized time points by transabdominal ultrasound in pregnant women participating in a pregnancy cohort.Correlations between fetal lung growth and respiratory infections in infancy or early-onset asthma at five years were examined.Machine-learning models relying on extreme gradient boosting regressor or classifier algorithms were developed to predict respiratory infection or asthma risk based on fetal lung growth.For model development and validation,study participants were randomly divided into a training and a testing group,respectively,by the employed algorithm.Results Enhanced fetal lung growth throughout pregnancy predicted a lower early-life respiratory infection risk.Male sex was associated with a higher risk for respiratory infections in infancy.Fetal lung growth could also predict the risk of asthma at five years of age.We designed three machine-learning models to predict the risk and number of infections in infancy as well as the risk of early-onset asthma.The models'R2 values were 0.92,0.90 and 0.93,respectively,underscoring a high accuracy and agreement between the actual and predicted values.Influential variables included known risk factors and novel predictors,such as ultrasound-monitored fetal lung growth.Conclusion Sonographic monitoring of fetal lung growth allows to predict the risk for early-life respiratory infections and asthma.

Key words

Asthma/Child risk/Early-life respiratory infections/Prenatal lung development/Sexual dimorphism

引用本文复制引用

基金项目

Open Access funding enabled and organized by Projekt DEAL()

German Research Foundation(CRU296:AR232/25-2)

German Research Foundation(DI2103/2-1)

German Research Foundation(SO1413/1-2)

German Research Foundation(ZA1246/2-1)

German Research Foundation(FOR5068:AR232/29-1)

Authority for Science,Research and Equality,Hanseatic City of Hamburg,Germany(LFF-FV73)

Werner Otto Foundation()

Clinician Scientist program(RU5068)

Medical Faculty of the University of Hamburg()

出版年

2024

世界儿科杂志(英文版)

CSTPCD

ISSN：

参考文献量75

段落导航