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.
Abstract

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