Article

Cerebral and Somatic Near-Infrared Spectroscopy Measurements During Fluid Challenge in Cardiac Surgery Patients: A Descriptive Pilot Study.

Department of Anesthesiology and Critical Care Medicine, CHU de Caen, Caen, France.
Journal of cardiothoracic and vascular anesthesia (impact factor: 1.06). 06/2012; DOI:10.1053/j.jvca.2012.04.017
Source: PubMed

ABSTRACT OBJECTIVE: Little is known about changes in near-infrared spectroscopy (NIRS)-derived cerebral (rSO(2)b) and somatic (rSO(2)s) oxygen saturation during a fluid challenge. The authors tested the hypothesis that they could differ from central venous oxygen saturation (ScvO(2)) and from one site to another. DESIGN: A prospective observational study. SETTING: A teaching university hospital. PARTICIPANTS: Fifty consecutive adult patients. INTERVENTIONS: Admission to the intensive care unit after cardiac surgery and investigation before and after a fluid challenge. MEASUREMENTS AND MAIN RESULTS: Simultaneous comparative ScvO(2), rSO(2)b, and rSO(2)s data points were collected from a blood-gas analyzer and the EQUANOX monitor (Nonin Medical, Inc, Plymouth, MN). Correlations were determined by linear regression. Multiple stepwise linear regression models were used to assess independent variables associated with changes in ScvO(2), rSO(2)b, and rSO(2)s. A statistically significant relationship was found between absolute values of ScvO(2) and rSO(2)b (r = 0.42, p < 0.001) but not between absolute values of ScvO(2) and rSO(2)s (r = 0.18, p = 0.066). No relationship was found between percent changes in ScvO(2) and rSO(2)b (r = 0.05, p = 0.715) and between percent changes in ScvO(2) and rSO(2)s (r = 0.02, p = 0.886) after the fluid challenge. Cardiac index contributed to the prediction of changes in ScvO(2) (regression coefficient = -4.09, p = 0.006), whereas the mean arterial pressure contributed to the prediction of changes in rSO(2)b (regression coefficient = -0.05, p = 0.027). CONCLUSIONS: rSO(2)b and rSO(2)s cannot be used to provide noninvasive estimation of ScvO(2), and trends in rSO(2)b and rSO(2)s cannot be considered as noninvasive surrogates for the trend in ScvO(2) after cardiac surgery. Different independent variables contribute to the prediction of ScvO(2), rSO(2)b, and rSO(2)s.

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Keywords

absolute values
 
blood-gas analyzer
 
Cardiac index
 
cardiac surgery
 
central venous oxygen saturation
 
consecutive adult patients
 
intensive care unit
 
linear regression
 
mean arterial pressure
 
Multiple stepwise linear regression models
 
near-infrared spectroscopy
 
Nonin Medical
 
noninvasive estimation
 
noninvasive surrogates
 
prospective observational study
 
regression coefficient
 
rSO(2)s data points
 
Simultaneous comparative ScvO(2)
 
statistically significant relationship
 
teaching university hospital
 

Jean-Luc Fellahi