TY - JOUR
AU1 - Motoyama, Hiroaki
AU2 - Kobayashi, Akira
AU3 - Yokoyama, Takahide
AU4 - Shimizu, Akira
AU5 - Furusawa, Norihiko
AU6 - Sakai, Hiroshi
AU7 - Kitagawa, Noriyuki
AU8 - Ohkubo, Yohei
AU9 - Tsukahara, Teruomi
AU1 - Miyagawa, Shin-ichi
AB - Langenbecks Arch Surg (2014) 399:1047–1055 DOI 10.1007/s00423-014-1252-0 ORIGINAL ARTICLE Hiroaki Motoyama & Akira Kobayashi & Takahide Yokoyama & Akira Shimizu & Norihiko Furusawa & Hiroshi Sakai & Noriyuki Kitagawa & Yohei Ohkubo & Teruomi Tsukahara & Shin-ichi Miyagawa Received: 27 January 2014 /Accepted: 1 October 2014 /Published online: 22 October 2014 Springer-Verlag Berlin Heidelberg 2014 Abstract suggesting that the former model is better at predicting the Purpose The aim of this study was to construct a prediction PHLF than the latter one. model for posthepatectomy liver failure (PHLF), as defined by Conclusions The developed model could be useful for the International Study Group of Liver Surgery, and evaluate predicting the occurrence of PHLF in HCC patients with its accuracy in hepatocellular carcinoma (HCC) patients with underlying liver disease. cirrhosis or chronic hepatitis. Methods A total of 277 consecutive hepatectomies for HCC Keywords Hepatocellular carcinoma International between 2005 and 2013 were analyzed retrospectively. normalized ratio Intraoperative packed red blood cell . . Multivariate logistic regression analysis was used to develop transfusion Posthepatectomy liver failure Serum bilirubin a predictive model for PHLF. The sensitivity, specificity, and level area under the receiver operating characteristic (AUROC) curve were evaluated. The Hosmer–Lemeshow goodness-of- fit 
TI - Liver failure after hepatocellular carcinoma surgery
JF - Langenbeck's Archives of Surgery
DO - 10.1007/s00423-014-1252-0
DA - 2014-10-22
UR - https://www.deepdyve.com/lp/springer-journals/liver-failure-after-hepatocellular-carcinoma-surgery-Ir9IHb01JD
SP - 1047
EP - 1055
VL - 399
IS - 8
DP - DeepDyve
ER -