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PreprintCC BYmedRxiv

Using Routine Ventilator Data to Visualize and Quantify Dynamic Compliance Trends Post-Surfactant Therapy in Preterm Infants: A Proof-of-Concept Study

  1. 1Toyama Prefectural Central Hospital

Abstract

Using routinely recorded ventilator data from 16 preterm infants with respiratory distress syndrome, dynamic compliance trajectories after surfactant administration were smoothed with a moving-median filter and characterized with a four-parameter logistic model; 10 infants showed sigmoidal improvement, and among 11 infants who received a second surfactant dose, 6 showed subsequent improvement, suggesting that this approach can visualize and quantify individual compliance recovery as a complementary tool to conventional clinical indicators.

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BibTeX
@misc{higashiyama2026using,
  title = {{Using Routine Ventilator Data to Visualize and Quantify Dynamic Compliance Trends Post-Surfactant Therapy in Preterm Infants: A Proof-of-Concept Study}},
  author = {H. Higashiyama},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.10.26362806},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.10.26362806v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Using Routine Ventilator Data to Visualize and Quantify Dynamic Compliance Trends Post-Surfactant Therapy in Preterm Infants: A Proof-of-Concept Study
AU  - H. Higashiyama
PY  - 2026
DA  - 2026/09/10
PB  - medRxiv
DO  - 10.64898/2026.09.10.26362806
UR  - https://www.medrxiv.org/content/10.64898/2026.09.10.26362806v1
AB  - Using routinely recorded ventilator data from 16 preterm infants with respiratory distress syndrome, dynamic compliance trajectories after surfactant administration were smoothed with a moving-median filter and characterized with a four-parameter logistic model; 10 infants showed sigmoidal improvement, and among 11 infants who received a second surfactant dose, 6 showed subsequent improvement, suggesting that this approach can visualize and quantify individual compliance recovery as a complementary tool to conventional clinical indicators.
ER  -