Multivariate analysis of liver regenerative capacity after hepatectomy in humans

• Published in: Journal of Hepato‐Biliary‐Pancreatic Surgery Vol. 4; no. 1; pp. 78 - 82
• Main Authors: Tanaka, Wataru, Yamanaka, Naoki, Oriyama, Takeshi, Katoh, Toshihiro, Kuroda, Nobukazu, Okamoto, Eizo
• Format: Journal Article
• Language: English
• Published: 01.03.1997
• Subjects: hepatectomy; liver fibrosis; liver regeneration; multiple regression equation
• ISSN: 0944-1166; 1868-6982; 1436-0691
• DOI: 10.1007/bf01211346

Many factors affect liver regeneration after partial hepatectomy; however, those factors that are essential for regulation of liver regeneration in humans are not known. Using multiple regression analysis we conducted a study to determine essential factors involved in the speed of liver regeneration after hepatectomy. The subjects were 59 patients who underwent hepatic resection between January 1980 and December 1991. A regression equation for predicting regeneration speed (Y; cm3/day) during the 1st postoperative month was obtained by stepwise forward multiple regression analysis, using 11 explanatory parameters (Xi). The regeneration speed and the resection ratio (%; indicating the magnitude of resection) were calculated based on a computed tomography (CT) scan volumetric study. The degree of liver fibrosis, expressed as the fibrotic index (%), was morphometrically determined in Azan‐Mallory stained sections. Of the 11 explanatory parameters, the resection ratio and the fibrotic index had a significant simple correlation with Y. The following regression equation was obtained: Y (cm3/day)=−1.1+3.7 × resection ratio −5.4 × alkaline phosphatase −3.7 × fibrotic index +1.2 × total bilirubin −2.6 × glutamic pyruvic transaminase (multiple correlation coefficient, 0.82). We found that the extent of resection and the degree of fibrosis, as well as alkaline phosphatase, total bilirubin, and glutamic pyruvic transaminase, contributed to the speed of regeneration after partial hepatectomy.