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Updated: Jun 6, 2026

Transcutaneous Microcirculatory Imaging in Preterm Neonates
Published on: December 31, 2015
Intercenter differences in bronchopulmonary dysplasia or death among very low birth weight infants
Namasivayam Ambalavanan1, Michele Walsh, Georgiy Bobashev
1Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL 35249, USA. ambal@uab.edu
Insights
Bronchopulmonary dysplasia or death rates show significant clustering by hospital center. While some infant factors contribute, unmeasured center-specific variables likely explain remaining differences in outcomes for premature infants.
Area of Science:
- Neonatalogy
- Perinatal Medicine
- Clinical Epidemiology
Background:
- Bronchopulmonary dysplasia (BPD) and death are significant concerns for premature infants.
- Variability in outcomes across neonatal intensive care units (NICUs) suggests potential differences in care or patient populations.
Purpose of the Study:
- To quantify the clustering of BPD (36 weeks) or death in neonates with birth weight <1250 g across NIC centers.
- To identify infant-level and center-specific factors associated with BPD/death.
- To develop predictive models for BPD/death.
Main Methods:
- Analysis of data from a cluster-randomized benchmarking trial involving neonates with birth weight <1250 g.
- Alternating logistic regression and multivariate analysis to assess clustering and identify associated variables.
- Development of predictive models using center-specific and infant-level data from 2001-2004, projected to 2006.
Main Results:
- Significant clustering of BPD/death was observed, with pairwise odds ratios of 1.3 (2001-2004) and 1.6 (2006).
- Center-specific outcomes ranged from 32% to 74%, with relative stability over time.
- Factors associated with increased risk included lower NICU admission temperature, prophylactic indomethacin, specific day 1 drug therapy, and lack of endotracheal intubation. Clustering persisted after adjusting for these variables.
Conclusions:
- Moderate clustering of BPD/death rates by NIC center was confirmed.
- Clinical variables associated with BPD/death were also clustered.
- Persistent center differences, even after accounting for measured variables, suggest the influence of unmeasured center-specific factors.
Objectives:
To determine (1) the magnitude of clustering of bronchopulmonary dysplasia (36 weeks) or death (the outcome) across centers of the Eunice Kennedy Shriver National Institute of Child and Human Development National Research Network, (2) the infant-level variables associated with the outcome and estimate their clustering, and (3) the center-specific practices associated with the differences and build predictive models.
Methods:
Data on neonates with a birth weight of <1250 g from the cluster-randomized benchmarking trial were used to determine the magnitude of clustering of the outcome according to alternating logistic regression by using pairwise odds ratio and predictive modeling. Clinical variables associated with the outcome were identified by using multivariate analysis. The magnitude of clustering was then evaluated after correction for infant-level variables. Predictive models were developed by using center-specific and infant-level variables for data from 2001 2004 and projected to 2006.
Results:
In 2001-2004, clustering of bronchopulmonary dysplasia/death was significant (pairwise odds ratio: 1.3; P < .001) and increased in 2006 (pairwise odds ratio: 1.6; overall incidence: 52%; range across centers: 32%-74%); center rates were relatively stable over time. Variables that varied according to center and were associated with increased risk of outcome included lower body temperature at NICU admission, use of prophylactic indomethacin, specific drug therapy on day 1, and lack of endotracheal intubation. Center differences remained significant even after correction for clustered variables.
Conclusion:
Bronchopulmonary dysplasia/death rates demonstrated moderate clustering according to center. Clinical variables associated with the outcome were also clustered. Center differences after correction of clustered variables indicate presence of as-yet unmeasured center variables.
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