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.
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.
Authors: Joan Sanchez-de-Toledo; Constantinos Chrysostomou; Ricardo Munoz; Steve Lichtenstein; Cesar A Sao-Avilés; Peter D Wearden; Victor O Morell; Robert S B Clark; Nicole Toney; Michael J Bell Journal: Neurocrit Care Date: 2014-08 Impact factor: 3.210
Authors: Armin A Quispe-Cornejo; Ana L Alves da Cunha; Hassane Njimi; Wasineenart Mongkolpun; Ana L Valle-Martins; Mónica Arébalo-López; Jacques Creteur; Jean-Louis Vincent Journal: Crit Care Date: 2022-10-23 Impact factor: 19.334
Authors: William Fornier; Matthias Jacquet-Lagrèze; Thomas Collenot; Priscilla Teixeira; Philippe Portran; Rémi Schweizer; Michel Ovize; Jean-Luc Fellahi Journal: Crit Care Date: 2017-12-12 Impact factor: 9.097
Authors: Nathan T P Patel; T Wesley Templeton; Magan R Lane; Timothy K Williams; Lucas P Neff; Eduardo J Goenaga-Diaz Journal: Crit Care Explor Date: 2022-08-15