A Multiple Regression Equation for Prediction of Posthepatectomy Liver Failure

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Abstract
In phase I, using the correlations between 17 preoperative parameters (Xi) and the postoperative course scored (Y) of the past 36 hepatectomized patients, the following multiple regression equation was proposed: Y = -110 + 0.942 .times. resection rate (%) + 1.36 .times. ICG (Indocyanine green) retention rate (%) + 1.17 .times. patient''s age + 5.94 .times. ICG maximal removal rate (mg/kg per min). The calculated patient Y value revealed that prediction scores of the 8 nonsurvivors with liver failure were more than 50 points while those of the 28 survivors were 50 points or less. In phase II, the relationships between early prognosis and a precalculated prediction score were prospectively found the same as in phase I. The formula is a useful prognostic index for posthepatectomy liver failure prediction.