{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Greenberg RG"],"funding":["The National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development","National Center for Advancing Translational Sciences","National Center for Research Resources","NICHD NIH HHS","NCATS NIH HHS","NCRR NIH HHS","NHLBI NIH HHS"],"pubmed_abstract":["<h4>Objective</h4>Develop an online estimator that accurately predicts bronchopulmonary dysplasia (BPD) severity or death using readily-available demographic and clinical data.<h4>Design</h4>Retrospective analysis of data entered into a prospective registry.<h4>Setting</h4>Infants cared for at centres of the United States Neonatal Research Network between 2011 and 2017.<h4>Patients</h4>Infants 501-1250 g birth weight and 23 0/7-28 6/7 weeks' gestation.<h4>Interventions</h4>None.<h4>Main outcome measures</h4>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.<h4>Results</h4>Among 9181 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 28. The predictive accuracy of the models increased at each time period from postnatal day 1 (C-statistic: 0.674) to postnatal day 28 (C-statistic 0.741). We used these results to develop a web-based model that provides predicted estimates for BPD by postnatal day.<h4>Conclusion</h4>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. This tool may aid clinical prognostication, future research, and center-specific quality improvement surrounding BPD prevention.<h4>Trial registration number</h4>NCT00063063."],"journal":["Archives of disease in childhood. Fetal and neonatal edition"],"pagination":["fetalneonatal-2021-323573"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9768097"],"repository":["biostudies-literature"],"pubmed_title":["Online clinical tool to estimate risk of bronchopulmonary dysplasia in extremely preterm infants."],"pmcid":["PMC9768097"],"funding_grant_id":["M01 RR000030","UG1 HD068278","M01 RR30","UG1 HD068270","UL1 TR1425","UL1 TR001449","UL1 TR142","UG1 HD027851","UG1 HD68244","UG1 HD027853","UL1 TR000083","M01 RR32","UG1 HD087226","UG1 HD087229","M01 RR000032","UG1 HD068263","UG1 HD34216","UG1 HD027856","U01 HD036790","UL1 TR000006","UL1 TR6","UG1 HD21385","UL1 TR000093","UG1 HD021364","UG1 HD27880","UL1 TR000454","UL1 TR001425","UL1 TR442","UL1 TR1449","UG1 HD53089","UG1 HD87229","UL1 TR93","UG1 HD87226","UG1 HD040492","M01 RR750","UG1 HD068244","M01 RR000080","M01 RR80","M01 RR633","UL1 TR000105","UL1 TR454","U10 HD053124","M01 RR008084","UL1 TR83","UL1 TR001085","UG1 HD27851","M01 RR000070","UL1 TR003142","UG1 HD27853","UG1 HD53109","UG1 HD68284","UG1 HD27856","M01 RR70","UL1 TR1108","U10 HD053119","U10 HD27856","UG1 HD034216","UL1 TR105","U10 HD53119","M01 RR000633","M01 RR000750","UL1 TR000042","K23 HL136843","UL1 TR000041","UL1 TR000442","UG1 HD68270","U10 HD53124","UL1 TR1117","UG1 HD053089","UG1 HD36790","U10 HD027871","UG1 HD40689","U10 HD021373","M01 RR64","UG1 HD68278","M01 RR000064","UG1 HD027904","UL1 TR41","UL1 TR1085","UL1 TR42","UL1 TR001108","M01 RR8084","U10 HD21373","U10 HD27871","M01 RR000059","UG1 HD68263","M01 RR59","M01 RR54","M01 RR000054","UG1 HD40492","U10 HD036790","UL1 TR000142","UG1 HD053109","UG1 HD068284","UL1 TR001117","U24 HD095254","UG1 HD27904","UG1 HD040689","U10 HD027856","UG1 HD21364","UG1 HD021385","UG1 HD027880","M01 RR000044","M01 RR44"],"pubmed_authors":["Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network","Brumbaugh JE","Tanaka D","Cotten CM","Jensen E","Laughon MM","Duncan AF","Walsh M","McDonald SA","Greenberg RG","Van Meurs K","Eichenwald E","Das A"],"additional_accession":[]},"is_claimable":false,"name":"Online clinical tool to estimate risk of bronchopulmonary dysplasia in extremely preterm infants.","description":"<h4>Objective</h4>Develop an online estimator that accurately predicts bronchopulmonary dysplasia (BPD) severity or death using readily-available demographic and clinical data.<h4>Design</h4>Retrospective analysis of data entered into a prospective registry.<h4>Setting</h4>Infants cared for at centres of the United States Neonatal Research Network between 2011 and 2017.<h4>Patients</h4>Infants 501-1250 g birth weight and 23 0/7-28 6/7 weeks' gestation.<h4>Interventions</h4>None.<h4>Main outcome measures</h4>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.<h4>Results</h4>Among 9181 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 28. The predictive accuracy of the models increased at each time period from postnatal day 1 (C-statistic: 0.674) to postnatal day 28 (C-statistic 0.741). We used these results to develop a web-based model that provides predicted estimates for BPD by postnatal day.<h4>Conclusion</h4>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. This tool may aid clinical prognostication, future research, and center-specific quality improvement surrounding BPD prevention.<h4>Trial registration number</h4>NCT00063063.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jun","modification":"2026-05-29T02:01:54.738Z","creation":"2025-04-04T03:01:03.116Z"},"accession":"S-EPMC9768097","cross_references":{"pubmed":["35728925"],"doi":["10.1136/archdischild-2021-323573"]}}