Literature DB >> 24439329

Noninvasive optical quantification of cerebral venous oxygen saturation in humans.

Jennifer M Lynch1, Erin M Buckley2, Peter J Schwab3, David R Busch3, Brian D Hanna4, Mary E Putt5, Daniel J Licht3, Arjun G Yodh6.   

Abstract

RATIONALE AND
OBJECTIVES: Cerebral oxygen extraction, defined as the difference between arterial and venous oxygen saturations (SaO2 and SvO2), is a critical parameter for managing intensive care patients at risk for neurological collapse. Although quantification of SaO2 is easily performed with pulse oximetry or moderately invasive arterial blood draws in peripheral vessels, cerebral SvO2 is frequently not monitored because of the invasiveness and risk associated with obtaining jugular bulb or super vena cava (SVC) blood samples.
MATERIALS AND METHODS: In this study, near-infrared spectroscopy (NIRS) was used to noninvasively measure cerebral SvO2 in anesthetized and mechanically ventilated pediatric patients (n = 10). To quantify SvO2, the NIRS signal component that fluctuates at the respiration frequency is isolated. This respiratory component is dominated by the venous portion of the interrogated vasculature. The NIRS measurements of SvO2 were validated against the clinical gold standard: invasively measured oxygen saturations from SVC blood samples. This technique was also applied in healthy volunteers (n = 5) without mechanical ventilation to illustrate its potential for use in healthy populations with natural airways.
RESULTS: Ten pediatric patients with pulmonary hypertension were studied. In these patients, SvO2 in the SVC exhibited good agreement with NIRS-measured SvO2 (R(2) = 0.80, P = .001, slope = 1.16 ± 0.48). Furthermore, in the healthy adult volunteers, mean (standard deviation) NIRS-measured SvO2 was 79.4 (6.8)%. This value is in good agreement with the expected average central venous saturation reported in literature.
CONCLUSION: Respiration frequency-selected NIRS can noninvasively quantify cerebral SvO2. This bedside technique can be used to help assess brain health in neurologically unstable patients.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Near-infrared spectroscopy; cerebral venous oxygenation; noninvasive; pediatrics; validation

Mesh:

Substances:

Year:  2014        PMID: 24439329      PMCID: PMC4126245          DOI: 10.1016/j.acra.2013.10.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   5.482


  17 in total

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8.  Cerebral tissue oxygen saturation calculated using low frequency haemoglobin oscillations measured by near infrared spectroscopy in adult ventilated patients.

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10.  Estimation of cerebral venous saturation in newborn infants by near infrared spectroscopy.

Authors:  L Skov; O Pryds; G Greisen; H Lou
Journal:  Pediatr Res       Date:  1993-01       Impact factor: 3.756

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6.  Time to surgery and preoperative cerebral hemodynamics predict postoperative white matter injury in neonates with hypoplastic left heart syndrome.

Authors:  Jennifer M Lynch; Erin M Buckley; Peter J Schwab; Ann L McCarthy; Madeline E Winters; David R Busch; Rui Xiao; Donna A Goff; Susan C Nicolson; Lisa M Montenegro; Stephanie Fuller; J William Gaynor; Thomas L Spray; Arjun G Yodh; Maryam Y Naim; Daniel J Licht
Journal:  J Thorac Cardiovasc Surg       Date:  2014-06-27       Impact factor: 5.209

7.  Non-invasive optical neuromonitoring of the temperature-dependence of cerebral oxygen metabolism during deep hypothermic cardiopulmonary bypass in neonatal swine.

Authors:  Tiffany S Ko; Constantine D Mavroudis; Wesley B Baker; Vincent C Morano; Kobina Mensah-Brown; Timothy W Boorady; Alexander L Schmidt; Jennifer M Lynch; David R Busch; Javier Gentile; George Bratinov; Yuxi Lin; Sejin Jeong; Richard W Melchior; Tami M Rosenthal; Brandon C Shade; Kellie L Schiavo; Rui Xiao; J William Gaynor; Arjun G Yodh; Todd J Kilbaugh; Daniel J Licht
Journal:  J Cereb Blood Flow Metab       Date:  2018-10-30       Impact factor: 6.200

8.  Noncontact optical imaging of brain hemodynamics in preterm infants: a preliminary study.

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9.  BrainSignals Revisited: Simplifying a Computational Model of Cerebral Physiology.

Authors:  Matthew Caldwell; Tharindi Hapuarachchi; David Highton; Clare Elwell; Martin Smith; Ilias Tachtsidis
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