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A novel model for predicting posthepatectomy liver failure in patients with hepatocellular carcinoma

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  • Wei Peng
  • Jia-Wu Li
  • Xiao-Yun Zhang
  • Chuan Li
  • Tian-Fu Wen
  • Lv-Nan Yan
  • Jia-Yin Yang

Abstract

Posthepatectomy liver failure (PHLF) is the most leading cause of mortality following hepatectomy in patients with hepatocellular carcinoma (HCC). Platelet count was reported to be a simple but useful indicator of liver cirrhosis and function of spleen. Spleen stiffness (SS) was used to evaluate the morphological change of spleen and was reported to be related to liver cirrhosis and portal hypertension. However, the predictive value of platelet to spleen stiffness ratio (PSR) on PHLF remains unknown. A retrospective study was performed to analyze 158 patients with HCC following hepatectomy from August 2015 to February 2016. Univariate and multivariate analyses were performed to evaluate the value of each risk factor for predicting PHLF. The predictive efficiency of the risk factors was evaluated by receiver operating characteristic (ROC) curve. PHLF occured in 23 (14.6%) patients. PSR (P

Suggested Citation

  • Wei Peng & Jia-Wu Li & Xiao-Yun Zhang & Chuan Li & Tian-Fu Wen & Lv-Nan Yan & Jia-Yin Yang, 2019. "A novel model for predicting posthepatectomy liver failure in patients with hepatocellular carcinoma," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-10, July.
    • Handle: RePEc:plo:pone00:0219219
    DOI: 10.1371/journal.pone.0219219
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