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Dataset Information

Prediction of bronchopulmonary dysplasia by postnatal age in extremely premature infants.


ABSTRACT:

Rationale

Benefits of identifying risk factors for bronchopulmonary dysplasia in extremely premature infants include providing prognostic information, identifying infants likely to benefit from preventive strategies, and stratifying infants for clinical trial enrollment.

Objectives

To identify risk factors for bronchopulmonary dysplasia, and the competing outcome of death, by postnatal day; to identify which risk factors improve prediction; and to develop a Web-based estimator using readily available clinical information to predict risk of bronchopulmonary dysplasia or death.

Methods

We assessed infants of 23-30 weeks' gestation born in 17 centers of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network and enrol

SUBMITTER: Laughon MM 

PROVIDER: S-EPMC3136997 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature