Predictive value of serum MED1 and PGC-1α for bronchopulmonary dysplasia in preterm infants

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Predictive value of serum MED1 and PGC-1α for bronchopulmonary dysplasia in preterm infants ; volume:24 ; number:1 ; day:28 ; month:7 ; year:2024 ; pages:1-10 ; date:12.2024
BMC pulmonary medicine ; 24, Heft 1 (28.7.2024), 1-10, 12.2024

Creator: Li, Mengzhao
Sun, Wenqiang
Fu, Changchang
Xu, Shuyang
Wang, Chengzhu
Chen, Huijuan
Zhu, Xueping

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12890-024-03145-z

URN: urn:nbn:de:101:1-2410122116083.908038100505

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Li, Mengzhao
Sun, Wenqiang
Fu, Changchang
Xu, Shuyang
Wang, Chengzhu
Chen, Huijuan
Zhu, Xueping
SpringerLink (Online service)

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Predictive value of serum MED1 and PGC-1α for bronchopulmonary dysplasia in preterm infants

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Other Objects (12)

Nutrition of preterm infants in relation to bronchopulmonary dysplasia

Occurrence, predictive factors and associated morbidity of broncho-pulmonary dysplasia in a preterm birth cohort

A predictive model for preterm infants with bronchopulmonary dysplasia based on ferroptosis-related lncRNAs

Airway nitrite is increased in extremely preterm infants with bronchopulmonary dysplasia

Bronchopulmonary dysplasia to predict neurodevelopmental impairment in infants born extremely preterm

Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Correction to: Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

Increased Regulatory T Cells Precede the Development of Bronchopulmonary Dysplasia in Preterm Infants

Lung function development after preterm birth in relation to severity of Bronchopulmonary dysplasia

Microbial signatures in amniotic fluid at preterm birth and association with bronchopulmonary dysplasia

Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs

Nutrition of preterm infants in relation to bronchopulmonary dysplasia

Occurrence, predictive factors and associated morbidity of broncho-pulmonary dysplasia in a preterm birth cohort

A predictive model for preterm infants with bronchopulmonary dysplasia based on ferroptosis-related lncRNAs

Airway nitrite is increased in extremely preterm infants with bronchopulmonary dysplasia

Bronchopulmonary dysplasia to predict neurodevelopmental impairment in infants born extremely preterm

Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Correction to: Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

Increased Regulatory T Cells Precede the Development of Bronchopulmonary Dysplasia in Preterm Infants

Lung function development after preterm birth in relation to severity of Bronchopulmonary dysplasia

Microbial signatures in amniotic fluid at preterm birth and association with bronchopulmonary dysplasia

Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs

Nutrition of preterm infants in relation to bronchopulmonary dysplasia

Occurrence, predictive factors and associated morbidity of broncho-pulmonary dysplasia in a preterm birth cohort

A predictive model for preterm infants with bronchopulmonary dysplasia based on ferroptosis-related lncRNAs

Airway nitrite is increased in extremely preterm infants with bronchopulmonary dysplasia

Bronchopulmonary dysplasia to predict neurodevelopmental impairment in infants born extremely preterm

Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Correction to: Respiratory severity score as a predictive factor for severe bronchopulmonary dysplasia or death in extremely preterm infants

Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

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Microbial signatures in amniotic fluid at preterm birth and association with bronchopulmonary dysplasia

Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Chest Radiographs

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