Please see Bibliography of References for a list of abstracts, manuscripts and posters.
Ibrahimiye AN, Singh G, Kim H, Iribarne A, Sladen R, Sonett J, Bacchetta M. J Heart Lung Transplant. 2010;29(2, Supplement):S143.
Purpose: Near-infrared spectroscopy (NIRS) allows for continuous noninvasive estimation of skeletal muscle tissue oxygenation (StO2) and has been used to monitor tissue perfusion in hemorrhagic shock and sepsis. The goal of this study was to determine the relationship between StO2 and mixed venous oxygen saturation (SvO2) in post lung transplant patients.
Methods and Materials: A total of five lung transplant recipients (4 double, 1 single lung) were prospectively enrolled in this proof-of-concept study. StO2 measurements (InSpectra Tissue Spectrometer, Hutchinson Technology) were collected simultaneously with SvO2, during the post-op ICU course. A minimum of five sets of measurements were taken per patient for a total of 30 measurement points. Multivariate linear regression (backward stepwise, remove p > 0.2), was used to assess the simultaneous effects of StO2, age, gender, BMI, and etiology for transplant on SVO2.
Results: The Pearson’s correlation coefficient for SvO2 by StO2 was 0.75 (p< 0.001), suggesting a significant positive correlation between the two measurements. In univariate analysis, StO2 was moderately predictive of SvO2 (R2=0.57). In multiple, stepwise regression, StO2, age, gender, and bmi resulted in a model with an R2=0.85, demonstrating a significant predictive ability of the StO2 model when incorporating patient characteristics.[ figure1]
Conclusions: Among lung transplant recipients StO2 is highly predictive of SvO2 and may be used in the future to provide rapid, continuous, noninvasive estimation of tissue perfusion. An increased sample size is needed for both model calibration and model validation.