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

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

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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.

AsthmaChild riskEarly-life respiratory infectionsPrenatal lung developmentSexual dimorphism

Dimitra E.Zazara、Olympia Giannou、Steven Schepanski、Mirja Pagenkemper、Anastasios D.Giannou、Maike Pincus、loannis Belios、Stefan Bonn、Ania C.Muntau、Kurt Hecher、Anke Diemert、Petra Clara Arck

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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

Computer Engineering and Informatics Department,Polytechnic School,University of Patras,Patras,Greece

Institute of Developmental Neurophysiology,Center for Molecular Neurobiology Hamburg(ZMNH),UKE,Hamburg,Germany

Department of Obstetrics and Fetal Medicine,UKE,Hamburg,Germany

Department of General,Visceral and Thoracic Surgery,UKE,Hamburg,Germany

Section of Molecular Immunology and Gastroenterology,Ⅰ.Department of Medicine,UKE,Hamburg,Germany

Pediatrics and Pediatric Pneumology Practice,Berlin,Germany

Institute of Medical Systems Biology,ZMNH,UKE,Hamburg,Germany

Hamburg Center for Translational Immunology,UKE,Hamburg,Germany

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Open Access funding enabled and organized by Projekt DEALGerman Research FoundationGerman Research FoundationGerman Research FoundationGerman Research FoundationGerman Research FoundationAuthority for Science,Research and Equality,Hanseatic City of Hamburg,GermanyWerner Otto FoundationClinician Scientist programMedical Faculty of the University of Hamburg

CRU296:AR232/25-2DI2103/2-1SO1413/1-2ZA1246/2-1FOR5068:AR232/29-1LFF-FV73RU5068

2024

10.1007/s12519-023-00782-y

世界儿科杂志(英文版)

世界儿科杂志(英文版)

CSTPCD
ISSN：
年,卷(期)：2024.20(5)
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