Journal article
Predicting the likelihood of bronchopulmonary dysplasia in premature neonates
Expert review of respiratory medicine, v 13(9), pp 871-884
02 Sep 2019
PMID: 31340666
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Introduction: Bronchopulmonary dysplasia (BPD) is the most common serious pulmonary morbidity in premature infants. Despite ongoing advances in neonatal care, the incidence of BPD has not improved. A potential explanation for this phenomenon is the limited ability for accurate early prediction of the risk of BPD. BPD continues to represent a therapeutic challenge and no single effective therapy exists for this condition. Areas covered: Here, we review risk factors of BPD derived from clinical data, biological fluid biomarkers, respiratory management data, and scientific advancements using 'omics' technologies, and their ability to predict the pathogenesis of BPD in preterm neonates. Risk factors and biomarkers were identified via literature search with a focus on the last 5 years of data. Expert opinion: The most accurate predictive tools utilize risk factors that encompass a variety of categories. Numerous predictive models have been proposed but suffer from a lack of adequate validation. An ideal model should include multiple, easily measurable variables validated across a heterogeneous population. In addition to evaluating recent BPD prediction models, we suggest approaches to enhance future models.
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Details
- Title
- Predicting the likelihood of bronchopulmonary dysplasia in premature neonates
- Creators
- Patrick A. Philpot - Alfred I. duPont Hospital for ChildrenVineet Bhandari - St. Christopher's Hospital for Children
- Publication Details
- Expert review of respiratory medicine, v 13(9), pp 871-884
- Publisher
- Taylor & Francis
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics
- Web of Science ID
- WOS:000479746900001
- Scopus ID
- 2-s2.0-85072628575
- Other Identifier
- 991019167613204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Respiratory System