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

Authors :
Peng W
Li JW
Zhang XY
Li C
Wen TF
Yan LN
Yang JY
Source :
PloS one [PLoS One] 2019 Jul 03; Vol. 14 (7), pp. e0219219. Date of Electronic Publication: 2019 Jul 03 (Print Publication: 2019).
Publication Year :
2019

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<0.001, odds ratio (OR) = 0.622, 95% confidence interval (CI) 0.493~0.784), hepatic inflow occlusion (HIO) (P = 0.003, OR = 1.044, 95% CI 1.015~1.075) and major hepatectomy (P = 0.019, OR = 5.967, 95% CI 1.346~26.443) were demonstrated to be the independent predictive factors for development of PHLF in a multivariate analysis. Results of the present study suggested PSR is a novel and non-invasive model for predicting PHLF in patients with HCC.<br />Competing Interests: The authors have declared that no competing interests exist.

Details

Language :
English
ISSN :
1932-6203
Volume :
14
Issue :
7
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
31269063
Full Text :
https://doi.org/10.1371/journal.pone.0219219