A novel multimodal computational system using near-infrared spectroscopy predicts the need for ECMO initiation in neonates with congenital diaphragmatic hernia

Stephanie M. Cruz, Patricio E. Lau, Craig G. Rusin, Candace C. Style, Darrell L. Cass, Caraciolo J. Fernandes, Timothy C. Lee, Christopher J. Rhee, Sundeep Keswani, Rodrigo Ruano, Stephen E. Welty, Oluyinka O. Olutoye

Research output: Contribution to journalArticle

Abstract

Background/purpose: The purpose of this study was to develop a computational algorithm that would predict the need for ECMO in neonates with congenital diaphragmatic hernia (CDH). Methods: CDH patients from August 2010 to 2016 were enrolled in a study to continuously measure cerebral tissue oxygen saturation (cStO2) of left and right cerebral hemispheres. NIRS devices utilized were FORE-SIGHT, CASMED and INVOS 5100, Somanetics. Using MATLAB

Original languageEnglish (US)
JournalJournal of Pediatric Surgery
DOIs
StateAccepted/In press - Jan 1 2017
Externally publishedYes

Keywords

  • CDH
  • Cerebral oxygenation
  • ECMO
  • Near infrared spectroscopy

ASJC Scopus subject areas

  • Surgery
  • Pediatrics, Perinatology, and Child Health

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    Cruz, S. M., Lau, P. E., Rusin, C. G., Style, C. C., Cass, D. L., Fernandes, C. J., Lee, T. C., Rhee, C. J., Keswani, S., Ruano, R., Welty, S. E., & Olutoye, O. O. (Accepted/In press). A novel multimodal computational system using near-infrared spectroscopy predicts the need for ECMO initiation in neonates with congenital diaphragmatic hernia. Journal of Pediatric Surgery. https://doi.org/10.1016/j.jpedsurg.2017.10.031