Abstract
In order to improve the predictive accuracy of impedance cardiac output, the relationship between blood resistance, chemistry, and hematocrit was examined. Blood samples from sixty-three intensive care (ICU) patients was analyzed for hematocrit, sodium, bicarbonate, urea, total protein, albumin, glucose, and pH, and the electrical resistance of the sample was measured. Multiple regression analysis produced a statistically significant model with resistance as the dependant variable, and the exponent of the hematocrit (Exp[Hct]), pH and blood urea as the independent variables. This study therefore suggests that the accuracy of resistance prediction can be improved by incorporating pH and urea into the resistivity equation. It is to be expected that this in turn will improve the accuracy of impedance cardiac output estimation.
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