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Oluwole I, Tan JBC, DeSouza S, Hutchinson M, Leigh RM, Cha M, Rodriguez A, Hou G, Rao SS, Narang A, Chou FS. The association between bronchopulmonary dysplasia grade and risks of adverse neurodevelopmental outcomes among preterm infants born at less than 30 weeks of gestation. J Matern Fetal Neonatal Med 2023; 36:2167074. [PMID: 36642443 DOI: 10.1080/14767058.2023.2167074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD) is a multifactorial disease with neurodevelopmental implications. This study aims to quantify the risks of adverse neurodevelopmental outcomes for each BPD grade among preterm infants born at less than 30 weeks' gestation. METHODS We retrospectively studied infants who received care in our institution until at least 36 weeks postmenstrual age and had a formal neurodevelopmental assessment in our infant follow-up clinic using the Bayley Scales for Infant and Toddler Development (BSID). We assessed the association between BPD grade and adverse neurodevelopmental outcomes using descriptive statistics and regression models. RESULTS Two hundred and fifty infants, including 89 (35.6%), 87 (34.8%), 65 (20.6%), and 9 (3.6%) with No BPD, Grade 1, Grade 2, and Grade 3 BPD, were included in the study. Small for gestational age, late pulmonary hypertension, dexamethasone administration, and adverse neurodevelopmental outcomes were more common as BPD grade increased. In a logistic regression analysis, Grades 2 and 3, but not Grade 1, BPD were associated with increased odds of a composite adverse neurodevelopmental outcome by 2.7 and 7.2 folds, respectively. A BSID domain-specific analysis showed that higher grades were associated with lower scores in the cognitive, gross motor, and fine motor domains. CONCLUSIONS Grades 2 and 3 BPD, but not Grade 1, correlate with risks of adverse neurodevelopmental outcomes at a grade-dependent manner in our single-center cohort retrospective study. Further validation using a multi-center large cohort is warranted.
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Affiliation(s)
- Izabela Oluwole
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - John B C Tan
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA.,Huckleberry Labs, Inc, Irvine, CA, USA
| | - Shirin DeSouza
- Division of General Pediatrics and Pediatric Hospital Medicine, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Rebekah M Leigh
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Minha Cha
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Gina Hou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Srinandini S Rao
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Arvind Narang
- Business intelligence and Data Governance, Loma Linda University Health, Loma Linda, CA, USA
| | - Fu-Sheng Chou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA.,Clinician Investigator Program, Southern California Permanente Medical Group, Pasadena, CA, USA.,Department of Neonatal-Perinatal Medicine, Kaiser Permanente Riverside Medical Center, Riverside, CA, USA
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Chou FS, Leigh RM, Rao SS, Narang A, Yeh HW. Oxygenation index in the first three weeks of life is a predictor of bronchopulmonary dysplasia grade in very preterm infants. BMC Pediatr 2023; 23:18. [PMID: 36639768 PMCID: PMC9838074 DOI: 10.1186/s12887-023-03835-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The new bronchopulmonary dysplasia (BPD) grading system was developed based on its correlation with long-term respiratory and neurodevelopmental outcomes and may provide better personalized prognostication. Identifying early-life predictors for accurate BPD grade prediction may allow interventions to be tailored to individual needs. This study aimed to assess whether oxygenation index (OI) dynamics in the first three weeks of life are a predictor of BPD grade. METHODS A single-center retrospective study was performed. Generalized additive mixed modeling was used to model OI trajectories for each BPD grade subgroup. A multinomial regression model was then developed to quantify the association between OI dynamics and BPD grade. RESULTS Two hundred fifty-four infants were identified for inclusion in the trajectory modeling. A total of 6,243 OI data points were available for modeling. OI trajectory estimates showed distinct patterns in the three groups, most prominent during the third week of life. The average daily OI change was -0.33 ± 0.52 (n = 85) in the No-BPD group, -0.04 ± 0.75 (n = 82) in the Low-Grade BPD group, and 0.22 ± 0.65 (n = 75) in the High-Grade BPD group (p < 0.001). A multinomial regression analysis showed the initial OI value and the average daily OI change both independently correlated with BPD grade outcomes after adjusting for birth gestation, birth weight z-score, sex, and the duration of invasive ventilation. CONCLUSION Early-life OI dynamics may be a useful independent marker for BPD grade prediction. Prospective studies may be warranted to further validate the findings.
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Affiliation(s)
- Fu-Sheng Chou
- grid.43582.380000 0000 9852 649XDivision of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA USA ,grid.414911.80000 0004 0445 1693Department of Neonatal-Perinatal Medicine, Kaiser Permanente Riverside Medical Center, 10800 Magnolia Ave., Riverside, CA USA
| | - Rebekah M. Leigh
- grid.43582.380000 0000 9852 649XLoma Linda University School of Medicine, Loma Linda, CA USA
| | - Srinandini S. Rao
- grid.43582.380000 0000 9852 649XDivision of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA USA
| | - Arvind Narang
- grid.43582.380000 0000 9852 649XBusiness Intelligence and Data Governance, Loma Linda University Health, Loma Linda, CA USA
| | - Hung-Wen Yeh
- grid.512054.7Division of Health Services and Outcomes Research, Children’s Mercy Research Institute, Kansas City, MO USA
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Leigh RM, Pham A, Rao SS, Vora FM, Hou G, Kent C, Rodriguez A, Narang A, Tan JBC, Chou FS. Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants. BMC Pediatr 2022; 22:542. [PMID: 36100848 PMCID: PMC9469562 DOI: 10.1186/s12887-022-03602-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Bronchopulmonary dysplasia (BPD) is one of the most common and serious sequelae of prematurity. Prompt diagnosis using prediction tools is crucial for early intervention and prevention of further adverse effects. This study aims to develop a BPD-free survival prediction tool based on the concept of the developmental origin of BPD with machine learning. Methods Datasets comprising perinatal factors and early postnatal respiratory support were used for initial model development, followed by combining the two models into a final ensemble model using logistic regression. Simulation of clinical scenarios was performed. Results Data from 689 infants were included in the study. We randomly selected data from 80% of infants for model development and used the remaining 20% for validation. The performance of the final model was assessed by receiver operating characteristics which showed 0.921 (95% CI: 0.899–0.943) and 0.899 (95% CI: 0.848–0.949) for the training and the validation datasets, respectively. Simulation data suggests that extubating to CPAP is superior to NIPPV in BPD-free survival. Additionally, successful extubation may be defined as no reintubation for 9 days following initial extubation. Conclusions Machine learning-based BPD prediction based on perinatal features and respiratory data may have clinical applicability to promote early targeted intervention in high-risk infants.
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Affiliation(s)
- Rebekah M Leigh
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Andrew Pham
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Srinandini S Rao
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Farha M Vora
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Gina Hou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Chelsea Kent
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Arvind Narang
- Business Intelligence and Data Governance, Loma Linda University Health, Loma Linda, CA, USA
| | | | - Fu-Sheng Chou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA. .,Kaiser Permanente Riverside Medical Center, 10800 Magnolia Ave., Riverside, CA, 92505, USA.
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A pivotal moment in the evolution of neonatal care. J Perinatol 2022; 43:538-539. [PMID: 35717458 DOI: 10.1038/s41372-022-01436-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/26/2022] [Accepted: 06/10/2022] [Indexed: 11/08/2022]
Abstract
While extraordinary advances have been made in the medical care of critically ill newborns, understanding the need of even the smallest of these infants for early, extensive, intimate human contact and facilitating the family's role in the care of their baby has been much slower and inconsistent. There is abundant evidence for the essential role of nurturing parent-infant connections (bonding/attachment) for development of optimal physical, cognitive, and emotional health of all babies. It is time to leave behind the tradition of sensory deprivation and social isolation common in the care of high-risk infants. A paradigm shift is needed in neonatal care to acknowledge the critical importance of infant and family-centered developmental care and to remove any remaining constraints on a family's ability to become full partners in the nurture of their NICU newborn.
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