title: A multiple regression equation for prediction of posthepatectomy liver failure.
abstract: This article reports a multiple regression equation for prediction of posthepatectomy liver failure. In phase I, using the correlations between 17 preoperative parameters (Xi) and the postoperative course scored (Y) of the past 36 hepatectomized patients, we proposed the following multiple regression equation: Y = -110 + 0.942 X resection rate (%) + 1.36 X ICG retention rate (%) + 1.17 X patient's age + 5.94 X ICG maximal removal rate (mg/kg/min). With the equation, the calculated Y value (prediction score) of these patients revealed that prediction scores of the eight 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 that seen in phase I. These findings indicate that our formula is a useful prognostic index for prediction of posthepatectomy liver failure.
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D006498:Hepatectomy / Q000379:methods; D006801:Humans; D008107:Liver Diseases / Q000209:etiology* / Q000401:mortality; D008111:Liver Function Tests; D008875:Middle Aged; D011183:Postoperative Complications; D011379:Prognosis; D012044:Regression Analysis; D012306:Risk