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Objective <p>Develop and validate predictive models for pulmonary hypertension (PH) in high-risk infants.</p> Study design <p>We trained logistic regression (LR) and long short-term memory (LSTM) models using a multicenter cohort study of infants 22–28 weeks gestational age discharged from neonatal intensive care units from 2008 to 2020, at two timepoints: 33 weeks post-menstrual age (PMA) for infants receiving mechanical ventilation at that time, and 36 weeks PMA for infants receiving any respiratory support at that time.</p> Results <p>At 33 weeks PMA (<i>N</i> = 2849), top LR model predictors were current fraction of inspired oxygen and birth weight. At 36 weeks (<i>N</i> = 20,173), top LR model predictors were current respiratory support and birth weight. Both LR and LSTM models had strong performance in the temporal validation cohort (infants discharged 2021–2022) for both timepoints.</p> Conclusion <p>Using available clinical variables, we developed and validated predictive models that may identify infants most at risk for PH at two timepoints.</p>

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Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月16日

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  • Henry P. Foote,
  • Minghui Sun,
  • Benjamin Alan Goldstein,
  • Kevin D. Hill,
  • Rachel G. Greenberg,
  • Samuel J. Gentle,
  • Kanecia O. Zimmerman,
  • Rishikesan Kamaleswaran,
  • Veeral N. Tolia,
  • Matthew M. Laughon,
  • Wesley Jackson,
  • Christoph P. Hornik

摘要

Objective

Develop and validate predictive models for pulmonary hypertension (PH) in high-risk infants.

Study design

We trained logistic regression (LR) and long short-term memory (LSTM) models using a multicenter cohort study of infants 22–28 weeks gestational age discharged from neonatal intensive care units from 2008 to 2020, at two timepoints: 33 weeks post-menstrual age (PMA) for infants receiving mechanical ventilation at that time, and 36 weeks PMA for infants receiving any respiratory support at that time.

Results

At 33 weeks PMA (N = 2849), top LR model predictors were current fraction of inspired oxygen and birth weight. At 36 weeks (N = 20,173), top LR model predictors were current respiratory support and birth weight. Both LR and LSTM models had strong performance in the temporal validation cohort (infants discharged 2021–2022) for both timepoints.

Conclusion

Using available clinical variables, we developed and validated predictive models that may identify infants most at risk for PH at two timepoints.