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Trends in Postmenstrual Age at Discharge and Predictive Factors Among a Contemporary Cohort of Infants Born Preterm
Sara C Handley1, Heather H Burris1, Melissa Schmatz2
1Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, PA.
Insights
Discharge timing for preterm infants is advancing, with significant increases in postmenstrual age (PMA) at discharge observed, especially for the most premature babies. Unit practices also influence discharge timing, highlighting potential variations in care.
Area of Science:
- Neonatal Medicine
- Perinatal Epidemiology
- Healthcare Quality Improvement
Background:
- Preterm birth remains a significant challenge in neonatal care.
- Optimizing discharge timing for preterm infants is crucial for resource allocation and infant outcomes.
- Understanding trends and predictors of discharge postmenstrual age (PMA) is essential for evidence-based practice.
Purpose of the Study:
- To analyze current trends in postmenstrual age (PMA) at discharge for infants born between 23 and 33 weeks' gestation.
- To identify factors influencing discharge PMA, stratified by birth gestational age (GA).
Main Methods:
- Retrospective analysis of a large electronic health record database (Epic Systems Cosmos) from 2017-2023.
- Inclusion of non-transferred preterm infants (23+0 to 33+6 weeks' GA) who survived to discharge.
- Annual trend analysis using linear mixed models and prediction modeling with random forests.
Main Results:
- Median discharge PMA increased by 3.4 days overall, with the largest increase (6.4 days) in the 23-24 weeks GA group.
- Gestational age, bronchopulmonary dysplasia (BPD) diagnosis, and mechanical ventilation were key predictors of discharge PMA.
- Specific factors like birth hospital unit and caffeine administration also showed predictive importance within different GA strata.
Conclusions:
- Discharge PMA has trended towards later timing across all preterm infants studied.
- While illness severity predicts discharge timing, the significant impact of hospital unit suggests practice variations influence discharge decisions.
- Further investigation into unit-level practices is warranted to standardize discharge timing for preterm infants.
Objective:
To evaluate contemporary trends in postmenstrual age (PMA) at discharge among infants born at 23-33 completed weeks' gestation and to examine which factors predict discharge PMA by birth gestational age (GA).
Study Design:
This retrospective, observational cohort study used Epic Systems Cosmos data. Infants born from January 1, 2017 to December 31, 2023, at 23 + 0 to 33 + 6 weeks' gestation, who were not transferred and survived to discharge were included. We examined discharge PMA annually stratified by birth GA categories (23-24, 25-26, 27-28, 29-30, and 31-33 weeks) and assessed trends using linear mixed models. Random forest models examined factors predicting discharge PMA.
Results:
Median discharge PMA increased over the study period by 3.4 days (95% CI: 3.1-3.8). Trends varied by GA, with the highest increase of 6.4 days (95% CI: 2.1-10.8) for infants born at 23-24 weeks and the lowest 2.3 days (95% CI: 1.8-2.6) for infants born at 31-33 weeks. Among all infants, the 3 most important factors predicting discharge PMA were: GA, bronchopulmonary dysplasia (BPD) diagnosis, and mechanical ventilation. When examining factors by GA category, the 3 most important factors for infants born at 23-24 weeks were: BPD diagnosis, birth hospital unit, and ventilation; for infants born at 31-33 weeks, they were ventilation, caffeine administration, and BPD diagnosis. Unit was also predictive of discharge PMA in all GA categories.
Conclusions:
Median discharge PMA increased among all infants born preterm. Although indicators of illness were expected predictors of discharge PMA, the importance of unit on discharge PMA within GA strata suggests that practice variation plays a significant role in discharge timing.
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