Literature DB >> 34004607

Survival without Bronchopulmonary Dysplasia of Extremely Preterm Infants: A Predictive Model at Birth.

Olivier Baud1,2, Matthew Laughon3, Philippe Lehert4,5.   

Abstract

INTRODUCTION: Early prediction of survival without bronchopulmonary dysplasia (BPD) at 36 weeks of postmenstrual age remains challenging for infants born extremely preterm. We aimed to provide a new predictive model including variables available only at or soon after birth based on the literature and existing models.
METHODS: We conducted a systematic review to identify all variables considered to be significant predictors of BPD and survival at birth in extremely preterm infants. We then assessed the external validity of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Neonatal Research Network BPD estimator on the PREMILOC cohort, a recent French study with a large sample of extremely preterm infants and a vast number of variables at baseline. Finally, we attempted to improve this model by testing the added value of other early predictors reported in previous studies.
RESULTS: Restricted to baseline predictors, the NICHD Neonatal Research Network BPD estimator confirmed its calibration and fair discrimination (area under the receiver operating characteristic [auROC] [95% CI] = 0.73 [0.68-0.77] when used with a published model and auROC [95% CI] = 0.77 [0.73-0.81] when fitted to the PREMILOC dataset). We were able to improve the discriminatory power by adding candidate variables at birth associated with BPD in previous studies. The modified best predicting model included gestational age at birth, birthweight, respiratory support at baseline, gender, center effect, and multiple pregnancy as baseline predictors. This model showed significantly better discrimination (auROC [95% CI] = 0.85 [0.82-0.88]) and better confirmed calibration (Hosmer-Lemeshow test, p = 0.45).
CONCLUSION: This new model, based on 6 early predictors, appears to improve the prediction soon after birth of BPD-free survival in extremely preterm infants.
© 2021 S. Karger AG, Basel.

Entities:  

Keywords:  Bronchopulmonary dysplasia; Extremely preterm infants; Prediction model; Risk

Mesh:

Year:  2021        PMID: 34004607     DOI: 10.1159/000515898

Source DB:  PubMed          Journal:  Neonatology        ISSN: 1661-7800            Impact factor:   4.035


  3 in total

1.  Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia.

Authors:  Saima Ahmed; Oludare A Odumade; Patrick van Zalm; Kinga K Smolen; Kimino Fujimura; Jan Muntel; Melissa S Rotunno; Abigail B Winston; Judith A Steen; Richard B Parad; Linda J Van Marter; Stella Kourembanas; Hanno Steen
Journal:  Neonatology       Date:  2022-01-24       Impact factor: 4.035

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

Authors:  Noura Zayat; Patrick Truffert; Elodie Drumez; Alain Duhamel; Julien Labreuche; Michael Zemlin; David Milligan; Rolf F Maier; Pierre-Henri Jarreau; Héloïse Torchin; Jennifer Zeitlin; Alexandra Nuytten
Journal:  Int J Environ Res Public Health       Date:  2022-05-05       Impact factor: 4.614

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

Authors:  Rebekah M Leigh; Andrew Pham; Srinandini S Rao; Farha M Vora; Gina Hou; Chelsea Kent; Abigail Rodriguez; Arvind Narang; John B C Tan; Fu-Sheng Chou
Journal:  BMC Pediatr       Date:  2022-09-13       Impact factor: 2.567

  3 in total

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