Liver failure after hepatocellular carcinoma surgery

Nomogram based on CT-derived extracellular volume for the prediction of post-hepatectomy liver failure in patients with resectable hepatocellular carcinoma

OBJECTIVES

This study aimed to develop and validate a nomogram based on extracellular volume (ECV) derived from computed tomography (CT) for predicting post-hepatectomy liver failure (PHLF) in patients with resectable hepatocellular carcinoma (HCC).

METHODS

A total of 202 patients with resectable HCC from two hospitals were enrolled and underwent multiphasic contrast-enhanced CT before surgery. One hundred twenty-one patients from our hospital and 81 patients from another hospital were assigned to the training cohort and the validation cohort, respectively. CT-derived ECV was measured using nonenhanced and equilibrium-phase-enhanced CT images. The nomogram was developed with independent predictors of PHLF. Predictive performance and calibration were assessed by receiver operator characteristic (ROC) analysis and Hosmer-Lemeshow test, respectively. The Delong test was used to compare the areas under the curve (AUCs).

RESULTS

CT-derived ECV had a strong correlation with the postoperative pathological fibrosis stage of the background liver (p < 0.001, r = 0.591). The nomogram combining CT-derived ECV, serum albumin (Alb), and serum total bilirubin (Tbil) obtained higher AUCs than the albumin-bilirubin (ALBI) score for predicting PHLF in both the training cohort (0.828 vs. 0.708; p = 0.004) and the validation cohort (0.821 vs. 0.630; p < 0.001). The nomogram showed satisfactory goodness of fit for PHLF prediction in the training and validation cohorts (p = 0.621 and 0.697, respectively).

CONCLUSIONS

The nomogram contributes to the preoperative prediction of PHLF in patients with resectable HCC.

KEY POINTS

• CT-derived ECV had a strong correlation with the postoperative pathological fibrosis stage of the background liver. • CT-derived ECV was an independent predictor of PHLF in patients with resectable HCC. • The nomogram based on CT-derived ECV showed a superior prediction efficacy than that of clinical models (including Child-Pugh stage, MELD score, and ALBI score).

Aldehyde dehydrogenase expression may be a prognostic biomarker and associated with liver cirrhosis in patients resected for hepatocellular carcinoma

BACKGROUND

Several members of the aldehyde dehydrogenase (ALDH) isoenzyme family have been suggested as prognostic biomarkers in patients with hepatocellular carcinoma (HCC). The aim of the study was to evaluate overall ALDH family member expression by RNA sequencing and hierarchical clustering in tumor and adjacent liver tissue to predict survival and evaluate correlation with liver cirrhosis in patients undergoing liver resection for HCC.

METHODS

We included patients having undergone liver resection for HCC between May 2014 and January 2018 at a tertiary referral university hospital (Copenhagen University Hospital, Rigshospitalet, Denmark). ALDH family member expression was evaluated by RNA sequencing of tumor and non-tumor liver tissue. Hierarchical clustering of ALDH genes was used to identify patient groups and correlations were established with overall survival, recurrence and histological features.

RESULTS

Fifty-two patients were included with 88.5% males, 84.6% with only one HCC and 73.1% with a non-cirrhotic background liver. Median follow-up was 45.7 months. Patients in one cluster defined by its ALDH expression in the tumor tissue showed significantly worse overall survival (log-rank p = 0.015), also when adjusted for age, cirrhosis, microvascular invasion, resection margins and tumor number (hazard ratio 4.2, 95% confidence interval (CI) 1.5-11.9, p = 0.007). When evaluated individually, the isoenzyme ALDH1L1 may be of particular importance. Several clusters in non-tumor tissue were correlated with cirrhosis. Especially one cluster had a high discriminative ability (area under receiver operating characteristic curve of 0.839) and remained significantly associated with cirrhosis when corrected for age, microvascular invasion, resection margins and tumor number (odds ratio 44.2, 95% CI 5.5-352.0, p < 0.001). The combination of ALDH and a previously identified candidate biomarker (expression signature of the transcriptional targets of the peroxisome proliferator-activated receptors (PPARs)) may add additional prognostic value.

CONCLUSION

The expression of ALDH family members in HCC was correlated with overall survival. Moreover, ALDH expression in non-tumor liver tissue was correlated with cirrhosis. Members of the ALDH family of enzymes may serve as a prognostic biomarker as well as potential targets for systemic treatment.

A novel online calculator based on noninvasive markers (ALBI and APRI) for predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma

BACKGROUND AND AIM

Post-hepatectomy liver failure (PHLF) remains the primary cause of in-hospital mortality after hepatectomy. Identifying predictors of PHLF is important to improve surgical safety. We sought to identify the predictive accuracy of two noninvasive markers, albumin-bilirubin (ALBI) and aspartate aminotransferase to platelet count ratio index (APRI), to predict PHLF among patients with hepatocellular carcinoma (HCC), and to build up an online prediction calculator.

METHODS

Patients who underwent resection for HCC between 2013 and 2016 at 6 Chinese hospitals were retrospectively analyzed. The independent predictors of PHLF were identified using univariate and multivariate analyses; derivative data were used to construct preoperative and postoperative nomogram models. Receiver operating characteristic (ROC) curves for the two predictive models, and ALBI, APRI, Child-Pugh, model for end-stage liver disease (MELD) scores were compared relative to predictive accuracy for PHLF.

RESULTS

Among the 767 patients in the analytic cohort, 102 (13.3%) experienced PHLF. Multivariable logistic regression analysis identified high ALBI grade (>-2.6) and high APRI grade (>1.5) as independent risk factors associated with PHLF in both the preoperative and postoperative models. Two nomogram predictive models and corresponding web-based calculators were subsequently constructed. The areas under the ROC curves for the postoperative and preoperative models, APRI, ALBI, MELD and Child-Pugh scores in predicting PHLF were 0.844, 0.789, 0.626, 0.609, 0.569, and 0.560, respectively.

CONCLUSIONS

ALBI and APRI demonstrated more accurate ability to predict PHLF than Child-Pugh and MELD. Two online calculators that combined ALBI and APRI were proposed as useful preoperative and postoperative tools for individually predicting the occurrence of PHLF among patients with HCC.

Early Prediction of Post-hepatectomy Liver Failure in Patients Undergoing Major Hepatectomy Using a PHLF Prognostic Nomogram

BACKGROUND

Liver resection (LR) is the main modality of treatment for hepatocellular carcinoma (HCC) and colorectal liver metastasis (CRLM). Post-hepatectomy liver failure (PHLF) remains the most dreaded complication. We aim to create a prognostic score for early risk stratification of patients undergoing LR.

METHODOLOGY

Clinical and operative data of 472 patients between 2000 and 2016 with HCC or CRLM undergoing major hepatectomy were extracted and analysed from a prospectively maintained database. PHLF was defined using the 50-50 criteria.

RESULTS

Liver cirrhosis and fatty liver were histologically confirmed in 35.6% and 53% of patients. 4.7% (n = 22) of patients had PHLF. A 90-day mortality was 5.1% (n = 24). Pre-operative albumin-bilirubin score (p = 0.0385), prothrombin time (p < 0.0001) and the natural logarithm of the ratio of post-operative day 1 to pre-operative serum bilirubin (SB) (ln(_POD1Bil/_pre-opBil); p < 0.0001) were significantly independent predictors of PHLF. The PHLF prognostic nomogram was developed using these factors with receiver operating curve showing area under curve of 0.88. Excellent sensitivity (94.7%) and specificity (95.7%) for the prediction of PHLF (50-50 criteria) were achieved at cut-offs of 9 and 11 points on this model. This score was also predictive of PHLF according to _PeakBil > 7 and International Study Group for Liver Surgery criteria, intensive care unit admissions, length of stay, all complications, major complications, re-admissions and mortality (p < 0.05).

CONCLUSIONS

The PHLF nomogram ( https://tinyurl.com/SGH-PHLF-Risk-Calculator ) can serve as a useful tool for early identification of patients at high risk of PHLF before the 'point of no return'. This allows enforcement of closer monitoring, timely intervention and mitigation of adverse outcomes.

Postoperative Albumin-Bilirubin Grade Change Predicts the Prognosis of Patients with Hepatitis B-Related Hepatocellular Carcinoma Within the Milan Criteria

OBJECTIVE

Albumin-bilirubin (ALBI) grade has been validated as a simple, evidence-based, and objective prognostic tool for patients with hepatocellular carcinoma (HCC). However, minimal information is available concerning postoperative ALBI grade changes in HCC. This study aimed to investigate the prognostic value of postoperative ALBI grade changes in patients with hepatitis B virus (HBV)-related HCC within the Milan criteria after liver resection.

METHODS

Patients with HBV-related HCC within the Milan criteria who underwent liver resection between 2010 and 2016 at West China Hospital were reviewed (N = 258). A change in ALBI grade was defined as first postoperative month ALBI grade-preoperative ALBI grade. If the value was >0, postoperative worsening of ALBI grade was considered; otherwise, stable ALBI grade was considered. Cox proportional hazard regression analyses were used to determine the factors that influence recurrence and survival.

RESULTS

During the follow-up, 130 patients experienced recurrence and 47 patients died. Multivariate analyses revealed that postoperative worsening of ALBI grade (HR 1.541, 95% CI 1.025-2.318, P = 0.038), microvascular invasion (MVI, HR 1.802, 95% CI 1.205-2.695, P = 0.004), and multiple tumors (HR 1.676, 95% CI 1.075-2.615, P = 0.023) were associated with postoperative recurrence, whereas MVI (HR 2.737, 95% CI 1.475-5.080, P = 0.001), postoperative worsening of ALBI grade (HR 2.268, 95% CI 1.227-4.189, P = 0.009), high alpha-fetoprotein level (HR 2.055, 95% CI 1.136-3.716, P = 0.017), and transfusion (HR 2.597, 95% CI 1.395-4.834, P = 0.003) negatively influenced long-term survival. Patients with postoperative worsening of ALBI grade exhibited increased incidence of recurrence and worse long-term survival.

CONCLUSION

Postoperative worsening of ALBI grade was associated with increased recurrence and poorer overall survival for patients with HBV-related HCC within the Milan criteria. We should pay attention to liver function changes in HCC patients after liver resection.

Predictors of post-hepatectomy liver failure in patients undergoing extensive liver resections for hepatocellular carcinoma

Backgrounds/Aims

To determine the prevalence of post-hepatectomy liver failure/insufficiency (PHLF/I) in patients undergoing extensive hepatic resections for hepatocellular carcinoma (HCC) and to assess the predictive value of preoperative factors for post-hepatectomy liver failure or insufficiency (PHLF/I).

Methods

A retrospective review of patients who underwent liver resections for HCC between 2001 and 2013 was conducted. Preoperative parameters were assessed and analyzed for their predictive value of PHLF/I. Definitions used included the 50–50, International Study Group of Liver Surgery (ISGLS) and Memorial Sloan Kettering Cancer Centre (MSKCC) criteria.

Results

Among the 848 patients who underwent liver resections for HCC between 2001 and 2013, 157 underwent right hepatectomy (RH) and extended right hepatectomy (ERH). The prevalence of PHLF/I was 7%, 41% and 28% based on the 50–50, ISGLS and MSKCC criteria, respectively. There were no significant differences in PHLF/I between RH and ERH. Model for End-Stage Liver Disease (MELD) score and bilirubin were the strongest independent predictors of PHLF/I based on the 50–50 and ISGLS/MSKCC criteria, respectively. Predictive models were developed for each of the criteria with multiple logistic regression.

Conclusions

MELD score, bilirubin, alpha-fetoprotein and platelet count showed significant predictive value for PHLF/I (all p<0.05). A composite score based on these factors serves as guideline for physicians to better select patients undergoing extensive resections to minimize PHLF.

Preoperative survival calculator for resectable hepatocellular carcinoma

Background

Estimation of preoperative overall survival (OS) of hepatocellular carcinoma (HCC) may guide surgical decision-making.

Methods

OS was analyzed using the National Cancer Data Base from 1998-2012. Patients with HCC who underwent wedge resection, lobectomy or extended lobectomy were selected. Patients who had metastatic disease or previous treatment prior to surgery were excluded. Data was randomly allocated to model building (n_b =4,364) and validation cohorts (n_v =1,091). Multivariable regression analyses of the n_b were used to construct prediction models and optimized using n_v.

Results

HCC patients (n=5,455) who underwent curative resection had a median OS of 36 months (95% CI, 34-38 months) with 1- and 3-year OS of 73% (95% CI, 72-74%) and 50% (95% CI, 49-51%), respectively. The patient median age was 65, 66% of patients were male, median tumor size was 60 mm; clinical stage 1 =25%, stage 2 =30% and stage 3 =45%. Alpha fetoprotein (AFP) was elevated in 63% of patients. Factors significant in the prediction model included degree of resection, age, race, tumor size, grade, and histologic subtype.

Conclusions

A preoperative OS calculator was developed to assist in the treatment evaluation and OS prediction of HCC patients.

Risk stratification using a novel liver functional reserve score of combination prothrombin time-international normalized ratio to albumin ratio and albumin in patients with hepatocellular carcinoma

BACKGROUND

Liver function in patients with hepatocellular carcinoma is generally graded according to the Child-Pugh system; however, some variables in the Child-Pugh grade are subjective. We developed a novel, objective score called the prothrombin time-international normalized ratio to albumin ratio. The aim of this study was to evaluate the prognostic value of this new score in patients with hepatocellular carcinoma after hepatic resection.

METHODS

The study comprised 199 patients who underwent elective hepatic resection for hepatocellular carcinoma between January 2003 and December 2014. We investigated retrospectively the relation between prothrombin time-international normalized ratio to albumin ratio, disease-free survival, and overall survival and compared the value of liver functional reserve between prothrombin time-international normalized ratio to albumin ratio and Child-Pugh grade.

RESULTS

The optimal cut-off level of the prothrombin time-international normalized ratio to albumin ratio was 0.288. In multivariate analysis, the independent and significant predictors of cancer recurrence consisted of hepatitis C virus infection (P = .043), preoperative retention rate of indocyanine green at 15 minutes ≥15% (P = .039), the presence of multiple tumors (P = .001) or microvascular invasion (P < .001), and prothrombin time-international normalized ratio to albumin ratio ≥0.288 (P = .022). The independent predictors of poor overall survival were microvascular invasion (P = .001) and prothrombin time-international normalized ratio to albumin ratio ≥0.288 (P = .001). In patients with a high prothrombin time-international normalized ratio to albumin ratio, pathologic liver cirrhosis (P < .001), postoperative ascites (P = .039), and postoperative liver failure (P = .040) were greater than for their counterparts.

CONCLUSION

The prothrombin time-international normalized ratio to albumin ratio may reflect liver function and may be a novel indicator of poor long-term outcome in patients with hepatocellular carcinoma after hepatic resection.

Quantitative Imaging Features and Postoperative Hepatic Insufficiency: A Multi-Institutional Expanded Cohort

BACKGROUND

Post-hepatectomy liver insufficiency (PHLI) is a significant cause of morbidity and mortality after liver resection. Quantitative imaging analysis using CT scans measures variations in pixel intensity related to perfusion. A preliminary study demonstrated a correlation between quantitative imaging features of the future liver remnant (FLR) parenchyma from preoperative CT scans and PHLI. The objective of this study was to explore the potential application of quantitative imaging analysis in PHLI in an expanded, multi-institutional cohort.

STUDY DESIGN

We retrospectively identified patients from 5 high-volume academic centers who developed PHLI after major hepatectomy, and matched them to control patients without PHLI (by extent of resection, preoperative chemotherapy treatment, age [±5 years], and sex). Quantitative imaging features were extracted from the FLR in the preoperative CT scan, and the most discriminatory features were identified using conditional logistic regression. Percent remnant liver volume (RLV) was defined as follows: (FLR volume)/(total liver volume) × 100. Significant clinical and imaging features were combined in a multivariate analysis using conditional logistic regression.

RESULTS

From 2000 to 2015, 74 patients with PHLI and 74 matched controls were identified. The most common indications for surgery were colorectal liver metastases (53%), hepatocellular carcinoma (37%), and cholangiocarcinoma (9%). Two CT imaging features (FD1_4: image complexity; ACM1_10: spatial distribution of pixel intensity) were strongly associated with PHLI and remained associated with PHLI on multivariate analysis (p = 0.018 and p = 0.023, respectively), independent of clinical variables, including preoperative bilirubin and %RLV.

CONCLUSIONS

Quantitative imaging features are independently associated with PHLI and are a promising preoperative risk stratification tool.

Effect of Transcatheter Arterial Chemoembolization Combined with Argon-Helium Cryosurgery System on the Changes of NK Cells and T Cell Subsets in Peripheral Blood of Hepatocellular Carcinoma Patients

Hepatocellular carcinoma (HCC) is one of the most aggressive tumors in humans. T lymphocytes and natural killer (NK) cells are the body's first line of defense to prevent tumor cell growth. Previous studies have demonstrated that transcatheter arterial chemoembolization (TACE) combined with argon-helium cryosurgery system (AHCS) can effectively treat liver cancer. However, the mechanism of the treatment is unclear yet. In the current study, we investigated the effects of TACE combined with AHCS on the changes of T cell subsets and NK cells in peripheral blood of HCC. Our data show that alpha-fetoprotein (AFP) levels in peripheral blood were significantly up-regulated in HCC patients before treatment when compared with healthy people and reduced after TACE combined with AHCS treatment (P < 0.01). In addition, we found that CD4+ cells and NK cells decreased (P < 0.05) and CD8+ cells increased (P < 0.05) in HCC patients when compared with healthy people. After treatment, the CD4+ cells, CD4+/CD8+ ratio, and NK cells were dramatically increased in HCC patients (P < 0.05). In contrast, CD8+ cells were significantly decreased (P < 0.05). TACE combined with AHCS treatment significantly prolonged 1-year survival rate of HCC patients and did not show significant side effects. Taken together, our data indicate that TACE combined with AHCS treatment improves patients' immune system. It is a feasible and effective therapeutic method for HCC patients.