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

doi:10.1016/j.jpedsurg.2017.10.031

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

Medical GYN and Obstetrics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	152-158
Number of pages	7
Journal	Journal of pediatric surgery
Volume	53
Issue number	1
DOIs	https://doi.org/10.1016/j.jpedsurg.2017.10.031
State	Published - Jan 2018

Keywords

CDH
Cerebral oxygenation
ECMO
Near infrared spectroscopy

ASJC Scopus subject areas

Surgery
Pediatrics, Perinatology, and Child Health

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10.1016/j.jpedsurg.2017.10.031

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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. (2018). 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, 53(1), 152-158. https://doi.org/10.1016/j.jpedsurg.2017.10.031

Cruz, SM, Lau, PE, Rusin, CG, Style, CC, Cass, DL, Fernandes, CJ, Lee, TC, Rhee, CJ, Keswani, S, Ruano, R, Welty, SE & Olutoye, OO 2018, '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, vol. 53, no. 1, pp. 152-158. https://doi.org/10.1016/j.jpedsurg.2017.10.031

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

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.",

keywords = "CDH, Cerebral oxygenation, ECMO, Near infrared spectroscopy",

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

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year = "2018",

month = jan,

doi = "10.1016/j.jpedsurg.2017.10.031",

language = "English (US)",

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AU - Cruz, Stephanie M.

AU - Lau, Patricio E.

AU - Rusin, Craig G.

AU - Style, Candace C.

AU - Cass, Darrell L.

AU - Fernandes, Caraciolo J.

AU - Lee, Timothy C.

AU - Rhee, Christopher J.

AU - Keswani, Sundeep

AU - Ruano, Rodrigo

AU - Welty, Stephen E.

AU - Olutoye, Oluyinka O.

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N2 - 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.

AB - 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.

KW - CDH

KW - Cerebral oxygenation

KW - ECMO

KW - Near infrared spectroscopy

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

Abstract

Keywords

ASJC Scopus subject areas

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