Prediction Model for Bronchopulmonary Dysplasia in Preterm Newborns

Overview

Journal Children (Basel)

Specialty Health Services

Date 2021 Oct 23

PMID 34682151

Citations 7

Authors

Joanna Maria Jassem-Bobowicz

Dagmara Klasa-Mazurkiewicz

Anton Zawrocki

Katarzyna Stefanska

Iwona Domzalska-Popadiuk

Sebastian Kwiatkowski

Krzysztof Preis

Affiliations

Soon will be listed here.

Abstract

Objective: To develop a multifactorial model that allows the prediction of bronchopulmonary dysplasia (BPD) in preterm newborns.

Materials And Methods: A single-center retrospective study of infants born below 32 + 0 weeks gestational age. We created a receiver operating characteristic curve to assess the multifactorial BPD risk and calculate the BPD risk accuracy using the area under the curve (AUC). BPD risk was categorized using a multifactorial predictive model based on the weight of the evidence.

Results: Of the 278 analyzed preterm newborns, 127 (46%) developed BPD. The significant risk factors for BPD in the multivariate analysis were gestational age, number of red blood cell concentrate transfusions, number of surfactant administrations, and hemodynamically significant patent ductus arteriosus. The combination of these factors determined the risk of developing BPD, with an AUC value of 0.932. A multifactorial predictive model based on these factors, weighted by their odds ratios, identified four categories of newborns with mean BPD risks of 9%, 59%, 82%, and 100%.

Conclusion: A multifactorial model based on easily available clinical factors can predict BPD risk in preterm newborns and inform potential preventive measures.

Citing Articles

Predictive modeling of bronchopulmonary dysplasia in premature infants: the impact of new diagnostic standards.

Tang L, Wu W, Huang W, Bi G Front Pediatr. 2024; 12:1434823.

PMID: 39539769 PMC: 11558522. DOI: 10.3389/fped.2024.1434823.

Prevalence, Severity Patterns and Risk Factors of Bronchopulmonary Dysplasia in Preterm Infants Younger than 32 Weeks of Gestation in a Tertiary Centre in Oman.

Al Mandhari H, Khan A, Al Saadi A, AboAnza M, Rizvi S, Panchatcharam S Sultan Qaboos Univ Med J. 2024; 24(2):259-267.

PMID: 38828256 PMC: 11139367. DOI: 10.18295/squmj.3.2024.017.

Transfusion strategies for neonates: current perspectives.

Shafique M, Abbas S, Habiba U, Mughal A, Fadlalla Ahmad T, Chaudhary A Ann Med Surg (Lond). 2024; 86(3):1550-1562.

PMID: 38463073 PMC: 10923393. DOI: 10.1097/MS9.0000000000001751.

A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities.

Moreira A, Husain A, Knake L, Aziz K, Simek K, Valadie C Front Pediatr. 2024; 12:1221863.

PMID: 38410770 PMC: 10894945. DOI: 10.3389/fped.2024.1221863.

Combined gestational age and serum fucose for early prediction of risk for bronchopulmonary dysplasia in premature infants.

Li L, Xu S, Li M, Yin X, Xi H, Yang P BMC Pediatr. 2024; 24(1):107.

PMID: 38347448 PMC: 10860215. DOI: 10.1186/s12887-024-04556-x.

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