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Official websites use. Share sensitive information only on official, secure websites. Greenberg conceptualized and designed the study, drafted the initial manuscript, interpreted the data analyses, and reviewed and revised the manuscript. McDonald and Dr. Das carried out the data analysis, assisted with interpretation of the data analyses, and reviewed and revised the manuscript for important intellectual content. Cotten assisted with acquisition of the data, interpreted the data analyses, reviewed and revised the manuscript for important intellectual content, and obtained funding to support the study.
Laughon assisted with acquisition of data and critical revision of the manuscript for important intellectual content. Tanaka, Dr. Jensen, Dr. Van Meurs, Dr. Eichenwald, Dr. Brumbaugh, Dr. Duncan, and Dr. Walsh provided analysis and interpretation of the data and critical revision of the manuscript for important intellectual content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
Corresponding author: Rachel G. Develop an online estimator that accurately predicts bronchopulmonary dysplasia BPD severity or death using readily-available demographic and clinical data. 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 postmenstrual age.
Among included infants, birth weight was most predictive of death or BPD severity on postnatal day 1, while mode of respiratory support was the most predictive factor on days 3, 7, 14, and The predictive accuracy of the models increased at each time period from postnatal day 1 C-statistic: 0.
We used these results to develop a web-based model that provides predicted estimates for BPD by postnatal day. The probability of BPD or death in extremely preterm infants can be estimated with reasonable accuracy using a limited amount of readily available clinical information.