Bronchopulmonary dysplasia: a predictive scoring system for very low birth weight infants. A diagnostic accuracy study with prospective data collection.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_CB70BC3EB56B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Bronchopulmonary dysplasia: a predictive scoring system for very low birth weight infants. A diagnostic accuracy study with prospective data collection.
Journal
European journal of pediatrics
Author(s)
El Faleh I., Faouzi M., Adams M., Gerull R., Chnayna J., Giannoni E., Roth-Kleiner M.
Working group(s)
Swiss Neonatal Network
ISSN
1432-1076 (Electronic)
ISSN-L
0340-6199
Publication state
Published
Issued date
08/2021
Peer-reviewed
Oui
Volume
180
Number
8
Pages
2453-2461
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Our aim was to develop and validate a predictive risk score for bronchopulmonary dysplasia (BPD), according to two clinically used definitions: 1. Need for supplementary oxygen during ≥ 28 cumulative days, BPD28, 2. Need for supplementary oxygen at 36 weeks postmenstrual age (PMA), BPD36. Logistic regression was performed in a national cohort (infants born in Switzerland with a birth weight < 1501 g and/or between 23 0/7 and 31 6/7 weeks PMA in 2009 and 2010), to identify predictors of BPD. We built the score as the sum of predicting factors, weighted according to their ORs, and analysed its discriminative properties by calculating the area under the ROC (receiver operating characteristic) curves (AUCs). This score was then applied to the Swiss national cohort from the years 2014-2015 to perform external validation. The incidence of BPD28 was 21.6% in the derivation cohort (n = 1488) and 25.2% in the validation cohort (n = 2006). The corresponding numbers for BPD36 were 11.3% and 11.1%, respectively. We identified gestational age, birth weight, antenatal corticosteroids, surfactant administration, proven infection, patent ductus arteriosus and duration of mechanical ventilation as independent predictors of BPD28. The AUCs of the BPD risk scores in the derivation cohort were 0.90 and 0.89 for the BPD28 and BPD36 definitions, respectively. The corresponding AUCs in the validation cohort were 0.92 and 0.88, respectively.Conclusion: This score allows for predicting the risk of a very low birth weight infant to develop BPD early in life and may be a useful tool in clinical practice and neonatal research. What is Known: • Many studies have proposed scoring systems to predict bronchopulmonary dysplasia (BPD). • Such a risk prediction may be important to identify high-risk patients for counselling parents, research purposes and to identify candidates for specific treatment. What is New: • A predictive risk score for BPD was developed and validated in a large national multicentre cohort and its performance assessed by two indices of accuracy. • The developed scoring system allows to predict the risk of BPD development early but also at any day of life with high validity.
Keywords
Birth Weight, Bronchopulmonary Dysplasia/diagnosis, Bronchopulmonary Dysplasia/epidemiology, Female, Gestational Age, Humans, Incidence, Infant, Infant, Newborn, Infant, Very Low Birth Weight, Pregnancy, Prospective Studies, Risk Factors, Switzerland/epidemiology, Bronchopulmonary dysplasia (BPD), Prediction, Prematurity, Respiratory distress syndrome (RDS), Risk score, Very low birth weight (VLBW) infant
Pubmed
Web of science
Open Access
Yes
Create date
12/04/2021 14:36
Last modification date
21/11/2022 9:23
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