Yamanaka N, Okamoto E, Kuwata K, Tanaka N
Ann Surg. 1984 Nov;200(5):658-63. doi: 10.1097/00000658-198411000-00018.
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.
本文报告了一个用于预测肝切除术后肝衰竭的多元回归方程。在第一阶段，利用17个术前参数（Xi）与过去36例肝切除患者术后病程评分（Y）之间的相关性，我们提出了以下多元回归方程：Y = -110 + 0.942×切除率（%）+ 1.36×吲哚菁绿潴留率（%）+ 1.17×患者年龄 + 5.94×吲哚菁绿最大清除率（mg/kg/min）。根据该方程，这些患者的计算Y值（预测评分）显示，8例肝衰竭非幸存者的预测评分超过50分，而28例幸存者的预测评分则为50分或更低。在第二阶段，前瞻性地发现早期预后与预先计算的预测评分之间的关系与第一阶段相同。这些发现表明，我们的公式是预测肝切除术后肝衰竭的一个有用的预后指标。
