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Dataset Information

Development and verification of a risk prediction model for bronchopulmonary dysplasia in very low birth weight infants.


ABSTRACT:

Background

To analyze the risk factors of bronchopulmonary dysplasia (BPD) of very low birth weight infants (VLBWIs), and to develop and verify a risk prediction model of BPD.

Methods

The data of 611 VLBWIs from the neonatal intensive care unit (NICU) of a tertiary grade A hospital in Suzhou from January 2017 to September 2019 were collected. The data was randomly divided into the modeling set (451 cases) and the validation set (160 cases). Binary logistic regression was used to analyze the data, and the model was examined by a receiver operating characteristic (ROC) curve. The grouped data was used to verify the sensitivity and specificity of the model.

Results

The study found that neonatal asphyxia, the positive rate of sputum culture, neonatal sepsis, neonatal resp

SUBMITTER: Cai H 

PROVIDER: S-EPMC8578781 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature