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

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

作者机构：Division for Experimental Feto-Maternal MedicineDepartment of Obstetrics and Fetal MedicineUniversity Medical Center Hamburg-Eppendorf(UKE)Martinistraße 5220251HamburgGermany University Children’s HospitalUKEHamburgGermany Computer Engineering and Informatics DepartmentPolytechnic SchoolUniversity of PatrasPatrasGreece Institute of Developmental NeurophysiologyCenter for Molecular Neurobiology Hamburg(ZMNH)UKEHamburgGermany Department of Obstetrics and Fetal MedicineUKEHamburgGermany Department of GeneralVisceral and Thoracic SurgeryUKEHamburgGermany Section of Molecular Immunology and GastroenterologyⅠ.Department of MedicineUKEHamburgGermany Pediatrics and Pediatric Pneumology PracticeBerlinGermany Institute of Medical Systems BiologyZMNHUKEHamburgGermany Hamburg Center for Translational ImmunologyUKEHamburgGermany 

出 版 物：《World Journal of Pediatrics》 (世界儿科杂志（英文版）)

年 卷 期：2024年第20卷第5期

页      面：481-495页

核心收录：

学科分类：1002[医学-临床医学] 100202[医学-儿科学] 10[医学] 

基　　金：supported by the German Research Foundation to ZDE,APC and DA(CRU296:AR232/25-2,DI 2103/2-1,SO1413/1-2,ZA1246/2-1,FOR5068:AR232/29-1) the Authority for Science,Research and Equality,Hanseatic City of Hamburg,Germany to APC and DA(LFF-FV73) the Werner Otto Foundation to ZDE and GAD ZDE and GAD are supported by the Clinician Scientist program of the RU5068 the Medical Faculty of the University of Hamburg 

主　　题：Asthma Child risk Early-life respiratory infections Prenatal lung development Sexual dimorphism 

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