Online clinical tool to estimate risk of bronchopulmonary dysplasia in extremely preterm infants.

ABSTRACT:

Objective

Develop an online estimator that accurately predicts bronchopulmonary dysplasia (BPD) severity or death using readily-available demographic and clinical data.

Design

Retrospective analysis of data entered into a prospective registry.

Setting

Infants cared for at centres of the United States Neonatal Research Network between 2011 and 2017.

Patients

Infants 501-1250 g birth weight and 23 0/7-28 6/7 weeks' gestation.

Interventions

None.

Main outcome measures

Separate multinomial regression models for postnatal days 1, 3, 7, 14 and 28 were developed to estimate the individual probabilities of death or BPD severity (no BPD, grade 1 BPD, grade 2 BPD, grade 3 BPD) defined according to the mode of respiratory support administered at 36 weeks' po

SUBMITTER: Greenberg RG 

PROVIDER: S-EPMC9768097 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature