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Open Access

Peer-reviewed

Research Article

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

  • Wei Peng,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Writing – original draft

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Jia-Wu Li,

    Roles Investigation

    Affiliation Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Xiao-Yun Zhang,

    Roles Data curation, Methodology, Visualization

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Chuan Li ,

    Roles Supervision, Writing – review & editing

    lichuan85@163.com

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Tian-Fu Wen,

    Roles Project administration, Supervision

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Lv-Nan Yan,

    Roles Methodology, Supervision

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯
  • Jia-Yin Yang

    Roles Data curation, Supervision

    Affiliation Department of Liver Surgery & Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    ⨯

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.

Citation: Peng W, Li J-W, Zhang X-Y, Li C, Wen T-F, Yan L-N, et al. (2019) A novel model for predicting posthepatectomy liver failure in patients with hepatocellular carcinoma. PLoS ONE 14(7): e0219219. https://doi.org/10.1371/journal.pone.0219219

Editor: Chun Chieh Yeh, China Medical University Hospital, TAIWAN

Received: April 12, 2019; Accepted: June 19, 2019; Published: July 3, 2019

Copyright: © 2019 Peng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: Data cannot be shared publicly because of patient privacy. Data are available from the West China Hospital Ethics Committee (contact via 86-2885421969) for researchers who meet the criteria for access to confidential data.

Funding: This work was supported by grant from Applied Basic Research Program of Sichuan Province (grant number 2018JY0544, received by WP, http://xmgl.scst.gov.cn); and Science and Technological Supports Project of Sichuan Province (grant number 2019YJ0149, received by CL, http://xmgl.scst.gov.cn). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is the third leading cause of cancer related deaths worldwide[1]. The predominant risk factor for HCC is chronic infection of hepatitis B virus (HBV) in China[2]. More than half of the new cases and deaths occurred in China because of the high prevalence of HBV[3]. Hepatectomy is widely accepted as a curative treatment for HCC patients even though liver transplantation is the ideal treatment[4]. The reported incidence of posthepatectomy liver failure (PHLF) is as high as 12% according to the definition by International Study Group of Liver Surgery (ISGLS)[5]. Therefore, continuous effort to identify risk factors for development of PHLF remains necessary.

A majority of patients diagnosed with HCC were accompanied with underlying liver fibrosis or cirrhosis. Distortion of the normal liver architecture and formation fibrous septum in patients with liver cirrhosis would increase the resistance to portal vein flow, resulting in portal hypertension, hypersplenism, and resultant thrombocytopenia[6, 7]. Platelet count was reported to be a simple but useful indicator of liver cirrhosis and function of spleen[8]. Furthermore, recent studies found platelet a predictor for PHLF[9, 10]. Spleen stiffness (SS), measured by ultrasound-based technologies, was used to evaluate the morphological change of spleen and was reported to be related to liver cirrhosis and portal hypertension[11, 12]. Theoretically, in patients with liver cirrhosis, spleen tissues showed passive congestion with a dilated sinus, diffuse α-smooth muscle actin expression of sinusoidal mesenchymal cells, and deposition of collagen fibers on the perisinusoidal wall[13]. Therefore, increased SS was reported to be an indirect indicator for liver cirrhosis and portal hypertension.

However, the clinical value of platelet to spleen stiffness ratio (PSR) which represents the integration of functional and morphological change of spleen remains unknown. The present study was designed to evaluate the predictive value of PSR on development of PHLF in patients with HCC.

Patients and methods

This is a retrospective analysis of prospectively collected data of newly diagnosed HCC patients following hepatectomy at our department from August 2015 to February 2016. The laboratory and radiological data of each patient were retrieved from the prospectively maintained database. To protect patients’ privacy, authors had no access to information that could identify individual participants during or after data collection. We excluded the patients who (1) received preoperative antitumor treatment; (2) previous or present splenectomy or splenic embolization. HCC and liver cirrhosis were confirmed by a postoperative pathological examination. The study was approved by the Ethics Committee of West China Hospital, Sichuan University. All methods were performed in accordance with the relevant guidelines and regulations.

Measurement of SS

SS value was obtained by elastography point quantification examination in the morning after at least 8 hours of fasting after a complete abdominal ultrasonic examination. The measurement was performed by one experienced physician with an iU22 ultrasonic system (Philips iU22, Philips Medical Systems, Royal Philips Electronics, Netherlands). SS measurement was performed in vessel-free area of the background spleen during a 5 seconds breath hold at inspiration with the probe positioned in an intercostal space where the spleen was correctly visualized by ultrasonic system[14]. For each patient, SS value was accepted only if the success rate (ratio of the number of successful measurements to the total number of acquisitions) was more than 60% and the interquartile range was less than 30% of the median value[15]. The mean value of 10 successful measurements was calculated and expressed in kilopascals (kPa).

Intraoperative care

All surgeries were performed by experienced surgeons with intraoperative ultrasonographic guidance. Intermittent hepatic inflow occlusion (HIO) and low central venous pressure anesthesia was applied to control bleeding in most cases[16]. Majority of liver dissections were carried out by ultrasonic dissector and clamp crushing techniques, water jet was an alternative choice in some cases[17]. The range of hepatectomy was determined by the extent of tumor progression and liver functional reserve. Major hepatectomy was defined as resection of 3 Couinaud’s segments or more.

Definitions of PHLF

PHLF was defined as a postoperatively acquired deterioration in the ability of the liver to maintain its synthetic, excretory, and detoxifying functions, which are characterized by an increased INR and concomitant hyperbilirubinemia (INR>1.14 and serum bilirubin more than 28 μmol/L according to the normal limits of our hospital) on or after postoperative day 5 according to the ISGLS definition[18].

Statistical analysis

Categorical data were expressed as numbers (percentage) and compared by the chi-square test or Fisher exact test. Continuous variables were expressed as mean (range) and compared by the independent sample t test. Candidate predictors of PHLF considered in this analysis were determined by a univariate analysis. Logistic regression analysis was used to evaluate the risk factors for PHLF. Receiver operating characteristic (ROC) curves were calculated for each of the predictive factors for PHLF and each area under the curve (AUC) were computed. P values less than 0.05 were considered statistically significant. All statistical analyses were performed with SPSS software version 21.0 (SPSS Company, Chicago, IL, United States).

Results

Main clinical features

From August 2015 to February 2016, 164 patients were enrolled based on the inclusion criteria and 6 of them were excluded from the study: 3 had hepatectomy and splenectomy at the same time, 3 had previous splenectomy. A total of 158 patients were finally analyzed based on the inclusion and exclusion criteria. Among them, 129 (81.6%) were male and 29 (18.4%) were female. The main clinical features of the whole patient population were described in Table 1.

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Table 1. Main clinical features of patient population according to development of PHLF.

https://doi.org/10.1371/journal.pone.0219219.t001

Univariate and multivariate analyses for PHLF

PHLF developed in 23 (14.6%) patients according to the ISGLS definition. Univariate analysis suggested that tumor diameter, liver cirrhosis, SS, PSR, operation duration, HIO, major hepatectomy and intraoperative transfusion were significantly related to development of PHLF (Table 1). Multivariate analysis demonstrated that PSR (P<0.001, odds ratio (OR) = 0.622, 95% confidence interval (CI) 0.493~0.784), 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 the independent predictive factors for development of PHLF in patients with HCC (Table 2). The area under ROC curve (AUC) of PSR (AUC 0.867, 95% CI 0.790~0.943) for predicting PHLF was greater than that of HIO (AUC 0.694, 95% CI 0.555~0.832) and major hepatectomy (AUC 0.669, 95% CI 0.559~0.778) (Fig 1). The optimal cut-off value of HIO was set at 40 min for predicting PHLF with a maximum joint sensitivity and specificity (sensitivity = 0.696, specificity = 0.741) while the optimal cut-off value of PSR was set at 4.60 for predicting PHLF (sensitivity = 0.696, specificity = 0.896).

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Fig 1. Predictive efficacy of PSR, HIO and MH for predicting PHLF.

PSR = platelet to spleen stiffness ratio, HIO = hepatic inflow occlusion, MH = major hepatectomy, AUC = area under the curve.

https://doi.org/10.1371/journal.pone.0219219.g001

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Table 2. Predictive factors for PHLF in multivariate analysis.

https://doi.org/10.1371/journal.pone.0219219.t002

The predictive value of PSR on liver cirrhosis

Liver cirrhosis was diagnosed in 78 (49.4%) patients by a postoperative pathological examination. To clarify the predictive value of PSR on liver cirrhosis, a ROC analysis was performed (Fig 2). The AUC of PSR for predicting liver cirrhosis was 0.776 (P<0.001, 95%CI 0.704–0.847), and the optimal cut-off value was set at 10.0 for predicting liver cirrhosis with a maximum joint sensitivity and specificity (sensitivity = 0.782, specificity = 0.650).

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Fig 2. Predictive efficacy of PSR for predicting liver cirrhosis.

PSR = platelet to spleen stiffness ratio, AUC = area under the curve.

https://doi.org/10.1371/journal.pone.0219219.g002

Discussion

PHLF is the most leading cause of mortality following hepatectomy, which has been studied by many researchers from different prospects. Most studies focused on liver itself while little attention was paid to spleen[19, 20]. In the present study, for the first time, a novel and non-invasive model which was also an integration of splenic function and morphology was found to be an independent predictor for PHLF.

Platelet count, an indirect indicator of liver cirrhosis and hypersplenism was reported to be a predictor of both short-term and long-term outcomes of HCC following hepatectomy[10, 21]. Particularly, various studies found that a low preoperative platelet count (<150*10^9/L) was significantly related to development of PHLF[22, 23]. In the present study, patients developed PHLF had a higher incidence of low preoperative platelet (73.9%) than those who didn’t (53.3%), but the difference was not statistically significant (P = 0.073). Clinical evidence showed that a certain number of platelets were required for liver function recovery[9, 24]. Studies in mice revealed the potential mechanism for the effect of platelet on liver regeneration. Lesurtel M et al found that platelet-derived serotonin mediated the initiation of liver regeneration and mice with thrombocytopenia would fail to initiate cellular proliferation in liver[25]. Furthermore, platelets could also exert positive effects on liver regeneration through cooperation with liver sinusoidal endothelial cells, Kupffer cells and hepatocytes [26–28].

SS was reported to be a useful non-invasive assessment for liver cirrhosis and portal hypertension in recent years [14, 29]. But the effect of SS on PHLF is controversial. Wu et al found SS obtained by transient elastography was not a significant predictor for PHLF in patients with HCC [30]. In their study, the patients developed PHLF had a higher value of SS (48.0kPa) than those who didn’t (26.3kPa), but the difference was not statistically significant (P = 0.36). However, Marasco et al found patients developed PHLF had a higher value of SS (60.0kPa) than those who didn’t (35.0kPa) (P<0.05)[31]. In the present study, our results were in line with previous clinical studies, SS was found to be related to development of PHLF in univariate analysis but not confirmed to be an independent predictor in multivariate analysis.

To clarify the other potential mechanism of the effect of PSR on PHLF, we found PSR to be a predictor (P<0.001, AUC 0.776) for liver cirrhosis which was the predominant risk factor for PHLF. A low PSR means a relatively low platelet count and a high value of SS, low platelet count and increased SS are the indirect indicators for liver cirrhosis and portal hypertension. An overperfusion from portal vein to a cirrhotic liver might lead to hepatic sinusoidal endothelium injury, delayed liver function recovery and PHLF[32].

Prolonged HIO and major hepatectomy were found to be independent risk factors for PHLF by multivariate analysis in the present study. Major hepatectomy was a well-established risk factor for PHLF[33]. The effect of intermittent HIO on PHLF is controversial. Hester et al found prolonged HIO was related to increased risk of PHLF[34]. While Andreatos et al found prolonged HIO was not a risk factor for PHLF[35]. In our opinion, prolonged HIO and major hepatectomy were related to complicated procedures, massive bleeding and transfusion[36, 37], which might lead to PHLF.

A limitation of the present study is its retrospective design. We were not able to get the other parameters such as splenic venous flow and portal venous pressure gradient. Secondly, our statistical analysis was limited by a small number of cases, it would be more convincing if the new model PSR was validated in another validation set and compared with other established models. Future prospective study will be designed to explore the clinical value of spleen on liver regeneration and PHLF, and the underlying mechanisms.

Conclusion

PSR, an integration of functional and morphological change of spleen, is a novel and non-invasive model for predicting PHLF in patients with HCC.

Supporting information

S1 File. STROBE statement.

https://doi.org/10.1371/journal.pone.0219219.s001

(DOCX)

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