Dataset Information

Definitions of bronchopulmonary dysplasia and long-term outcomes of extremely preterm infants in Korean Neonatal Network.

ABSTRACT: New definitions for bronchopulmonary dysplasia (BPD) have recently been suggested, and an accurate diagnosis, including severity classification with proper definition, is crucial to identify high-risk infants for appropriate interventions. To determine whether recently suggested BPD definitions can better predict long-term outcomes of BPD in extremely preterm infants (EPIs) than the original BPD definition, BPD was classified with severity 1, 2, and 3 using three different definitions: definition A (original), National Institute of Child Health and Human Development (NICHD) definition in 2001; definition B, the modified NICHD 2016 definition (graded by the oxygen concentration and the respiratory support at 36 weeks' postmenstrual age [PMA]); and definition C, the modified Jensen 2019 definition (graded by the respiratory support at 36 weeks' PMA). We evaluated 1050 EPIs using a national cohort. Whereas EPIs with grade 2 or 3 BPD as per definition A did not show any increase in the risk, EPIs with BPD diagnosed by definition B and C showed significantly increased risk for poor outcomes, such as respiratory mortality and morbidities, neurodevelopmental delay, and growth restriction at 18-24 months of corrected age. The recently suggested definition and severity grading better reflects long-term childhood morbidities than the original definition in EPIs.

SUBMITTER: Jeon GW

PROVIDER: S-EPMC8692520 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Background: Infants born extremely preterm are at high risk of developing bronchopulmonary dysplasia (BPD). This study aimed to assess the incremental health care burden of BPD and associated comorbidities among extremely preterm infants in the United States. Methods: Health service claims in the Premier Perspective database were retrospectively analyzed for infants born at ?28 weeks gestation who were admitted to neonatal intensive care during birth hospitalization and survived to a postmenstrual age of ?36 weeks. Gestational age (GA) at birth and BPD status of infants was determined based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes recorded in the database. Results: Of the 12,017 infants included, 4,904 (40.8%) had BPD. BPD increased with decreasing GA: 67.4% of infants born at <24 weeks GA had BPD vs. 28.7% of those born at 27-28 weeks. Infants with BPD had significantly longer hospital stays following birth than those without (mean [standard deviation (SD)] 102 [34] vs. 83 [24] days, respectively, P < 0.001), and incurred higher total charges (mean [SD] $799,499 [$535,528] vs. $588,949 [$377,137], respectively, P < 0.001). Mean total charges incurred during index hospitalization decreased as GA at birth increased, with GA having a bigger effect than presence or absence of BPD. During their first year, infants with BPD had a higher in-hospital late mortality rate than those without (1.9 vs. 0.6%), and were more likely to have two or more hospital encounters following birth hospitalization (58.0 vs. 48.2%). Among infants who had two or more encounters after discharge, those with BPD experienced a higher percentage of pulmonary symptoms than those without (46.3 vs. 38.9%). Comparison with infants who did not have BPD, retinopathy of prematurity, or intraventricular hemorrhage showed that BPD is the main complication contributing to increased length of stay, costs, in-hospital mortality, and additional health care encounters. Conclusion: BPD is a key contributor to the large health care burden associated with extremely preterm birth. However, GA at birth has a bigger effect on health care costs for extremely preterm infants than the presence of BPD.

Dataset Information

Definitions of bronchopulmonary dysplasia and long-term outcomes of extremely preterm infants in Korean Neonatal Network.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets