Systemic Steroids in Preventing Bronchopulmonary Dysplasia (BPD): Neurodevelopmental Outcome According to the Risk of BPD in the EPICE Cohort.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
05 05 2022
Historique:
received: 28 02 2022
revised: 17 04 2022
accepted: 27 04 2022
entrez: 14 5 2022
pubmed: 15 5 2022
medline: 20 5 2022
Statut: epublish

Résumé

Postnatal steroids (PNS) have been used to prevent bronchopulmonary dysplasia (BPD) in preterm infants but have potential adverse effects on neurodevelopment. These effects might be modulated by their risk of BPD. We aimed to compare patients' neurodevelopment with PNS treatment according to their risk of BPD in a European cohort. We developed a prediction model for BPD to classify infants born between 24 + 0 and 29 + 6 weeks of gestation in three groups and compared patients' neurological outcome at two years of corrected age using the propensity score (PS) method. Of 3662 neonates included in the analysis, 901 (24.6%) were diagnosed with BPD. Our prediction model for BPD had an area under the ROC curve of 0.82. In the group with the highest risk of developing BPD, PNS were associated with an increased risk of gross motor impairment: OR of 1.95 after IPTW adjustment (95% CI 1.18 to 3.24, This study suggests that PNS might be associated with an increased risk of gross motor impairment regardless of the group risk for BPD. Further randomised controlled trials exploring the use of PNS to prevent BPD should include a risk-based evaluation of neurodevelopmental outcomes. This observation still needs to be confirmed in a randomised controlled trial.

Sections du résumé

BACKGROUND
Postnatal steroids (PNS) have been used to prevent bronchopulmonary dysplasia (BPD) in preterm infants but have potential adverse effects on neurodevelopment. These effects might be modulated by their risk of BPD. We aimed to compare patients' neurodevelopment with PNS treatment according to their risk of BPD in a European cohort.
METHODS
We developed a prediction model for BPD to classify infants born between 24 + 0 and 29 + 6 weeks of gestation in three groups and compared patients' neurological outcome at two years of corrected age using the propensity score (PS) method.
RESULTS
Of 3662 neonates included in the analysis, 901 (24.6%) were diagnosed with BPD. Our prediction model for BPD had an area under the ROC curve of 0.82. In the group with the highest risk of developing BPD, PNS were associated with an increased risk of gross motor impairment: OR of 1.95 after IPTW adjustment (95% CI 1.18 to 3.24,
CONCLUSIONS
This study suggests that PNS might be associated with an increased risk of gross motor impairment regardless of the group risk for BPD. Further randomised controlled trials exploring the use of PNS to prevent BPD should include a risk-based evaluation of neurodevelopmental outcomes. This observation still needs to be confirmed in a randomised controlled trial.

Identifiants

pubmed: 35564997
pii: ijerph19095600
doi: 10.3390/ijerph19095600
pmc: PMC9106050
pii:
doi:

Substances chimiques

Glucocorticoids 0
Steroids 0
Hydrocortisone WI4X0X7BPJ

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Noura Zayat (N)

Department of Neonatology, University Hospital of Nantes, F-44093 Nantes, France.
ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.

Patrick Truffert (P)

ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.
Department of Neonatology, Jeanne de Flandre University Hospital, F-59000 Lille, France.

Elodie Drumez (E)

ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.
Department of Biostatistics, CHU Lille, F-59000 Lille, France.

Alain Duhamel (A)

ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.
Department of Biostatistics, CHU Lille, F-59000 Lille, France.

Julien Labreuche (J)

ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.
Department of Biostatistics, CHU Lille, F-59000 Lille, France.

Michael Zemlin (M)

Department of General Paediatrics and Neonatology, Medical School, Saarland University, G-66421 Homburg, Germany.

David Milligan (D)

Faculty of Medical Science, Newcastle University, Newcastle upon Tyne UK-NE1 4LP, UK.

Rolf F Maier (RF)

Children's Hospital, University Hospital, Philipps University Marburg, G-35043 Marburg, Germany.

Pierre-Henri Jarreau (PH)

Neonatal Intensive Care Unit of Port-Royal, Cochin Hospital, APHP, F-75014 Paris, France.
CRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, University of Paris, F-75004 Paris, France.

Héloïse Torchin (H)

Neonatal Intensive Care Unit of Port-Royal, Cochin Hospital, APHP, F-75014 Paris, France.
CRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, University of Paris, F-75004 Paris, France.

Jennifer Zeitlin (J)

CRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, University of Paris, F-75004 Paris, France.

Alexandra Nuytten (A)

ULR 2694-METRICS, Évaluation des Technologies de Santé et des Pratiques Médicales, University Lille, CHU Lille, F-59000 Lille, France.
Department of Neonatology, Jeanne de Flandre University Hospital, F-59000 Lille, France.

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