Statistical Analysis Descriptive statistics, including frequency counts for discrete variables and measures of central tendency (means, medians) and dispersion (standard deviation, range) for continuous variables will be calculated. Comparisons between the Cell Saver and non-Cell Saver groups will be done with independent t test for continuous variables and χ2 tests for discrete variables. To determine the effects of potentially confounding variables, analysis of covariance to compare the Cell Saver and non-Cell Saver groups will be used. This will help identify variables that may be statistically different between the Cell Saver and non-Cell Saver groups that could potentially influence the total units of blood transfused. Those variables that were significantly related (i.e., correlated) with the number of units of blood transfused will be entered as covariates into the statistical model to determine if they affect the statistical conclusions between the Cell Saver and non-Cell Saver groups. All analyses will performed an a priori alpha level of 0.05 using IBM SPSS version 19.0.