Ability of the ALBI grade to predict posthepatectomy liver failure and long-term survival after liver resection for different BCLC stages of HCC

99mTc-GSA scintigraphy and modified albumin-bilirubin score can be complementary to ICG for predicting posthepatectomy liver failure

BACKGROUND

Posthepatectomy liver failure (PHLF) remains a severe complication after liver resection. This retrospective study investigated the correlation of three hepatic functional tests and whether 99mTc-galactosyl human serum albumin (99mTc-GSA) scintigraphy and modified albumin-bilirubin (ALBI) score are useful for predicting PHLF.

METHODS

This retrospective cohort study included 413 consecutive patients undergoing hepatectomies between January 2017 and December 2020. To evaluate preoperative hepatic functional reserve, modified ALBI grade, indocyanine green clearance (ICG-R15), and 99mTc-GSA scintigraphy (LHL15) were examined before scheduled hepatectomy. Based on a retrospective chart review, multivariable logistic regression analysis adjusted for confounding factors was performed to confirm that mALBI, ICG-R15, and LHL15 are independent risk factors for PHLF.

RESULTS

ICG-R15 and LHL15 were moderately correlated (r =  - 0.61) but this correlation weakened when ICG-R15 was about ≥ 20. Weak correlations were observed between LHL15 and ALBI score (r =  - 0.269) and ALBI score and ICG-R15 (r = 0.339). Of 413 patients, 66 (19%) developed PHLF (20 grade A, 44 grade B, 2 grade C). Multivariable logistic regression analyses, major hepatectomy (P < 0.001), mALBI grade (P = 0.01), ICG-R15 (P < 0.001), and Esophagogastric varices (P = 0.007) were significant independent risk factors for PHLF. Subgroup analysis showed that ICG-R15 < 19, major hepatectomy, and mALBI grade and ICG-R15 ≥ 19, major hepatectomy, LHL15, and Esophagogastric varices were significant independent risk factors for PHLF (P = 0.033, 0.017, 0.02, 0.02, and 0.001, respectively).

CONCLUSION

LHL15, the assessment of Esophagogastric varices, and mALBI grade are complementary to ICG-R15 for predicting PHLF risk.

Pre-operative evaluation of spontaneous portosystemic shunts as a predictor of post-hepatectomy liver failure in patients undergoing liver resection for hepatocellular carcinoma

BACKGROUND

Post-hepatectomy liver failure (PHLF) can significantly compromise outcomes, especially in cirrhotic patients. The identification of accurate and non-invasive pre-operative predictors is of paramount importance to appropriately stratify patients according to their estimated risk and select the best treatment strategy.

MATERIALS AND METHODS

Consecutive patients undergoing liver resection for HCC on cirrhosis between 1-2015 and 12-2020 at 10 international Institutions were enrolled and their pre-operative CT scans were evaluated for the presence of spontaneous portosystemic shunts (SPSS) to identify predictors of PHLF and develop a nomogram.

RESULTS

The analysis of the CT scans identified SPSS in 74 patients (17.4 %). PHLF was developed in 27 out of 425 cases (6.4 %), with grades B/C observed in 17 patients (4 %). At the multivariable analysis, the presence of SPSS resulted an independent risk factor for all-grades PHLF (OR 6.83, 95%CI 2.39-19.51, p < 0.001) and clinically significant PHLF development (OR 7.92, 95%CI 2.03-30.85, p = 0.003) alongside a patient's age ≥74 years, a pre-operative platelets count <106x103/μL, a multiple-segments liver resection, and an intraoperative blood loss ≥1200 mL. The 30- and 90-days mortality in patients with and without SPSS resulted 2.7 % vs 0.3 % (p = 0.024) and 5.4 % vs 1.1 % (p = 0.014). The accuracy of SPSS in predicting PHLF development was 0.847 (95%n CI 0.809-0.880). The internally validated nomogram showed excellent performance in predicting grades B/C PHLF (c-statistic = 0.933 (95%CI 0.888-0.979)).

CONCLUSION

The pre-operative presence of SPSS assessed on the pre-operative imaging proved to be a valuable radiological biomarker able to predict PHLF development in patients undergoing liver resection for HCC.

Association between novel genetic variants of Notch signaling pathway genes and survival of hepatitis B virus-related hepatocellular carcinoma

BACKGROUND

Although the Notch pathway plays an important role in formation and progression of hepatocellular carcinoma (HCC), few studies have reported the associations between functional genetic variants and the survival of hepatitis B virus (HBV)-related HCC.

METHODS

In the present study, we performed multivariable Cox proportional hazard regression analysis to evaluate associations between 36,101 SNPs in 264 Notch pathway-related genes and overall survival (OS) of 866 patients with HBV-related HCC.

RESULTS

It was found that three independent SNPs (NEURL1B rs4868192, CNTN1 rs444927 and FCER2 rs1990975) were significantly associated with the HBV-related HCC OS. The number of protective genotypes (NPGs) were significantly associated with better survival in a dose-response manner (ptrend <0.001). Compared with the model with sole clinical factors, the addition of protective genotypes to the predict models significantly increased the AUC, i.e., from 72.72% to 75.13% (p = 0.002) and from 72.04% to 74.76 (p = 0.004) for 3-year and 5-year OS, respectively. The expression quantitative trait loci (eQTL) analysis further revealed that the rs4868192 C allele was associated with lower mRNA expression levels of NEURL1B in the whole blood (p = 1.71 × 10-3), while the rs1990975 T allele was correlated with higher mRNA expression levels of FCER2 in the whole blood and normal liver tissues (p = 3.51 × 10-5 and 0.033, respectively).

CONCLUSIONS

Three potentially functional SNPs of NEURL1B, CNTN1 and FCER2 may serve as potential prognostic biomarkers for HBV-related HCC.

Rescue liver transplantation after post-hepatectomy acute liver failure: A systematic review and pooled analysis

BACKGROUND

Post-hepatectomy liver failure is a severe complication after major liver resection and is associated with a high mortality rate. Nevertheless, there is no effective treatment for severe liver failure. In such a setting, rescue liver transplantation (LT) is used only in extraordinary cases with unclear results. This systematic review aims to define indication of LT in post-hepatectomy liver failure and post-LT outcomes, in terms of patient and disease-free survivals, to assess the procedure's feasibility and effectiveness.

METHODS

A systematic review of all English language full-text articles published until September 2022 was conducted. Inclusion criteria were articles describing patients undergoing LT for post-hepatectomy liver failure after liver resection, which specified at least one outcome of interest regarding patient/graft survival, postoperative complications, tumour recurrence and cause of death. A pseudo-individual participant data meta-analysis was performed to analyse data. Study quality was assessed with MINORS system. PROSPERO CRD42022349358.

RESULTS

Postoperative complication rate was 53.6%. All patients transplanted for benign indications survived. For malignant tumours, 1-, 3- and 5-year overall survival was 94.7%, 82.1% and 74.6%, respectively. The causes of death were tumour recurrence in 83.3% of cases and infection-related in 16.7% of LT recipients. At Cox regression, being transplanted for unconventional malignant indications (colorectal liver metastasis, cholangiocarcinoma) was a risk factor for death HR = 8.93 (95%CI = 1.04-76.63; P-value = 0.046). Disease-free survival differs according to different malignant tumours (P-value = 0.045).

CONCLUSIONS

Post-hepatectomy liver failure is an emergent indication for rescue LT, but it is not universally accepted. In selected patients, LT can be a life-saving procedure with low short-term risks. However, special attention must be given to long-term oncological prognosis before proceeding with rescue LT in an urgent setting, considering the severity of liver malignancy, organ scarcity, the country's organ allocation policies and the resource of living-related donation.

Predicting Post-Hepatectomy Liver Failure in HCC Patients: A Review of Liver Function Assessment Based on Laboratory Tests Scores

The assessment of liver function is crucial in predicting the risk of post-hepatectomy liver failure (PHLF) in patients undergoing liver resection, especially in cases of hepatocellular carcinoma (HCC) which is often associated with cirrhosis. There are currently no standardized criteria for predicting the risk of PHLF. Blood tests are often the first- and least invasive expensive method for assessing hepatic function. The Child-Pugh score (CP score) and the Model for End Stage Liver Disease (MELD) score are widely used tools for predicting PHLF, but they have some limitations. The CP score does not consider renal function, and the evaluation of ascites and encephalopathy is subjective. The MELD score can accurately predict outcomes in cirrhotic patients, but its predictive capabilities diminish in non-cirrhotic patients. The albumin-bilirubin score (ALBI) is based on serum bilirubin and albumin levels and allows the most accurate prediction of PHLF for HCC patients. However, this score does not consider liver cirrhosis or portal hypertension. To overcome this limitation, researchers suggest combining the ALBI score with platelet count, a surrogate marker of portal hypertension, into the platelet-albumin-bilirubin (PALBI) grade. Non-invasive markers of fibrosis, such as FIB-4 and APRI, are also available for predicting PHLF but they focus only on cirrhosis related aspects and are potentially incomplete in assessing the global liver function. To improve the predictive power of the PHLF of these models, it has been proposed to combine them into a new score, such as the ALBI-APRI score. In conclusion, blood test scores may be combined to achieve a better predictive value of PHLF. However, even if combined, they may not be sufficient to evaluate liver function and to predict PHLF; thus, the inclusion of dynamic and imaging tests such as liver volumetry and ICG r15 may be helpful to potentially improve the predictive capacity of these models.

Genetic variants of SOS2, MAP2K1 and RASGRF2 in the RAS pathway genes predict survival of HBV-related hepatocellular carcinoma patients

The RAS pathway participates in the cascade of proliferation and cell division process, and the activated RAS pathway can lead to tumorigenesis including hepatocellular carcinoma (HCC). However, few studies have explored the effects of genetic variants in the RAS pathway-related genes on the survival of patients with HBV-related HCC. In the present study, we assessed the associations between 11,658 single-nucleotide polymorphisms (SNPs) in 62 RAS pathway genes and the overall survival (OS) of 866 HBV-related HCC individuals, which were randomly split (1:1) into discovery and validation datasets. As a result, three potentially functional SNPs were identified, based on multivariable cox proportional hazards regression analyses, in SOS Ras/Rho guanine nucleotide exchange factor 2 (SOS2, rs4632055 A > G), Ras protein-specific guanine nucleotide releasing factor 2 (RASGRF2, rs26418A > G) and mitogen-activated protein kinase 1 (MAP2K1,rs57120695 C > T), which were significantly and independently associated with OS of HBV-related HCC patients [adjusted hazards ratios (HRs) of 1.42, 1.32 and 1.50, respectively; 95% confidence intervals (CI), 1.14 to 1.76, 1.15 to 1.53 and 1.15 to 1.97, respectively; P = 0.001, < 0.001 and 0.003, respectively]. Additionally, the joint effects as the unfavorable genotypes of these three SNPs showed a significant association with the poor survival of HCC (trend test P < 0.001). The expression quantitative trait loci (eQTL) analysis further revealed that the rs4632055 G allele and the rs26418 A allele were associated with lower mRNA expression levels of SOS2 and RASGRF2, respectively. Collectively, these potentially functional SNPs of RASGRF2, SOS2 and M2PAK1 may become potential prognostic biomarkers for HBV-related HCC after hepatectomy.

Predictors and Prognostic Significance of Postoperative Complications for Patients with Intrahepatic Cholangiocarcinoma

BACKGROUND

The prognostic impact of major postoperative complications (POCs) for intrahepatic cholangiocarcinoma (ICC) remains ill-defined. We sought to analyze the relationship between POCs and outcomes relative to lymph node metastases (LNM) and tumor burden score (TBS).

METHODS

Patients who underwent resection of ICC between 1990-2020 were included from an international database. POCs were defined according to Clavien-Dindo classification ≥ 3. The prognostic impact of POCs was estimated relative to TBS categories (i.e., high and low) and lymph node status (i.e., N0 or N1).

RESULTS

Among 553 patients who underwent curative-intent resection for ICC, 128 (23.1%) individuals experienced POCs. Low TBS/N0 patients who experienced POCs presented with a higher risk of recurrence and death (3-year cumulative recurrence rate; POCs: 74.8% vs. no POCs: 43.5%, p = 0.006; 5-year overall survival [OS], POCs 37.8% vs. no POCs 65.8%, p = 0.003), while POCs were not associated with worse outcomes among high TBS and/or N1 patients. The Cox regression analysis confirmed that POCs were significant predictors of poor outcomes in low TBS/N0 patients (OS, hazard ratio [HR] 2.91, 95%CI 1.45-5.82, p = 0.003; recurrence free survival [RFS], HR 2.42, 95%CI 1.28-4.56, p = 0.007). Among low TBS/N0 patients, POCs were associated with early recurrence (within 2 years) (Odds ratio [OR] 2.79 95%CI 1.13-6.93, p = 0.03) and extrahepatic recurrence (OR 3.13, 95%CI 1.14-8.54, p = 0.03), in contrast to patients with high TBS and/or nodal disease.

CONCLUSIONS

POCs were independent, negative prognostic determinants for both OS and RFS among low TBS/N0 patients. Perioperative strategies that minimize the risk of POCs are critical to improving prognosis, especially among patients harboring favorable clinicopathologic features.

Risk Stratification of Patients with Marginal Hepatic Functional Reserve Using the Remnant Hepatocyte Uptake Index in Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for Safe Liver Surgery

BACKGROUND

This study aimed to explore the efficacy of gadoxetic acid-enhanced (Gd-EOB) magnetic resonance imaging (MRI) in surgical risk estimation among patients with marginal hepatic function estimated by indocyanine green (ICG) clearance test.

METHODS

This analysis focused on 120 patients with marginal hepatic functional reserve (ICG clearance rate of future liver remnant [ICG-Krem] < 0.10). Preoperative Gd-EOB MRI was retrospectively reviewed, and the remnant hepatocyte uptake index (rHUI) was calculated for quantitative measurement of liver function. The predictive power of rHUI for posthepatectomy liver failure was compared with several clinical measures used in current risk estimation before hepatectomy.

RESULTS

Receiver operating curve analysis showed that rHUI had the best predictive power for posthepatectomy liver failure among the tested variables (ICG-R15, ICG-Krem, albumin + bilirubin score, and albumin + ICG-R15 score). Cross-validation showed that a threshold of 925 could be the best cut-off value for estimating the postoperative risk of liver failure with sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of 0.689, 0.884, 5.94, and 0.352, respectively.

CONCLUSION

rHUI could be a sensitive substitute measure for posthepatectomy liver failure risk estimation among patients with marginal hepatic functional reserve.

Prognostic Significance of Serum Albumin Level and Albumin-Based Mono- and Combination Biomarkers in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer. Although many surgical and nonsurgical therapeutic options have been established for treating HCC, the overall prognosis for HCC patients receiving different treatment modalities remains inadequate, which causes HCC to remain among the most life-threatening human cancers worldwide. Therefore, it is vitally important and urgently needed to develop valuable and independent prognostic biomarkers for the early prediction of poor prognosis in HCC patients, allowing more time for more timely and appropriate treatment to improve the survival of patients. As the most abundant protein in plasma, human serum albumin (ALB) is predominantly expressed by the liver and exhibits a wide variety of essential biological functions. It has been well recognized that serum ALB level is a significant independent biomarker for a broad spectrum of human diseases including cancer. Moreover, ALB has been commonly used as a potent biomaterial and therapeutic agent in clinical settings for the treatment of various human diseases. This review provides a comprehensive summary of the evidence from the up-to-date published literature to underscore the prognostic significance of serum ALB level and various ALB-based mono- and combination biomarkers in the prediction of the prognosis of HCC patients after treatment with different surgical, locoregional, and systemic therapies.

A comprehensive preoperative predictive score for post-hepatectomy liver failure after hepatocellular carcinoma resection based on patient comorbidities, tumor burden, and liver function: the CTF score

BACKGROUND

Post-hepatectomy liver failure (PHLF) is a dreaded complication following liver resection for hepatocellular carcinoma (HCC) with a high mortality rate. We sought to develop a score based on preoperative factors to predict PHLF.

METHODS

Patients who underwent resection for HCC between 2000 and 2020 were identified from an international multi-institutional database. Factors associated with PHLF were identified and used to develop a preoperative comorbidity-tumor burden-liver function (CTF) predictive score.

RESULTS

Among 1785 patients, 106 (5.9%) experienced PHLF. On multivariate analysis, several factors were associated with PHLF including high Charlson comorbidity index (CCI ≥ 5) (OR 2.80, 95%CI, 1.08-7.26), albumin-bilirubin (ALBI) (OR 1.99, 95%CI, 1.10-3.56), and tumor burden score (TBS) (OR 1.06, 95%CI, 1.02-1.11) (all p < 0.05). Using the beta-coefficients of these variables, a weighted predictive score was developed and made available online ( https://alaimolaura.shinyapps.io/PHLFriskCalculator/ ). The CTF score (c-index = 0.67) performed better than Child-Pugh score (CPS) (c-index = 0.53) or Barcelona clinic liver cancer system (BCLC) (c-index = 0.57) to predict PHLF. A high CTF score was also an independent adverse prognostic factor for survival (HR 1.61, 95%CI, 1.12-2.30) and recurrence (HR 1.36, 95%CI, 1.08-1.71) (both p = 0.01).

CONCLUSION

Roughly 1 in 20 patients experienced PHLF following resection of HCC. Patient (i.e., CCI), tumor (i.e., TBS), and liver function (i.e., ALBI) factors were associated with risk of PHLF. These preoperative factors were incorporated into a novel CTF tool that was made available online, which outperformed other previously proposed tools.

An mALBI-Child-Pugh-based nomogram for predicting post-hepatectomy liver failure grade B-C in patients with huge hepatocellular carcinoma: a multi-institutional study

Objective

Post-hepatectomy liver failure (PHLF) is a severe complication in patients with hepatocellular carcinoma (HCC) who underwent hepatectomy. This study aims to develop a nomogram of PHLF grade B–C in patients with huge HCC (diameter ≥ 10 cm).

Methods

We retrospectively collected clinical information of 514 and 97 patients who underwent hepatectomy for huge HCC at two medical centers between 2016 and 2021. Univariate and multivariate analysis were carried out to screen the independent risk factors of PHLF grade B–C, which were visualized as a nomogram.

Results

Three Hundred Forty Three Thousand One Hundred Seventy One  and 97 HCC patients were included in the training cohort, internal validation cohort, and external validation cohort, with probabilities of PHLF grade B–C of 15.1%, 12.9%, and 22.7%, respectively. Pre-operative modified albumin-bilirubin (mALBI) grade (p < 0.001), Child–Pugh classification (p = 0.044), international normalized ratio (INR) (p = 0.005), cirrhosis (p = 0.019), and intraoperative blood loss (p = 0.004) were found to be independently associated with PHLF grade B–C in the training cohort. All the five independent factors were considered in the establishment of the nomogram model. In the internal validation cohort and external validation cohort, the area under receiver operating characteristic curve for the nomogram in PHLF grade B–C prediction reached 0.823 and 0.740, respectively. Divided into different risk groups according to the optimal cut-off value, patients in the high-risk group reported significantly higher frequency of PHLF grade B–C than those in the low-risk group, both in the training cohort and the validation cohort (p < 0.001).

Conclusions

The proposed noninvasive nomogram based on mALBI-Child–Pugh and three other indicators achieved optimal prediction performance of PHLF grade B–C in patients with huge HCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-022-02672-5.

A Novel Nomogram for Predicting Postoperative Liver Failure After Major Hepatectomy for Hepatocellular Carcinoma

Background

Post-hepatectomy liver failure (PHLF) is the most common cause of mortality after major hepatectomy in hepatocellular carcinoma (HCC) patients. We aim to develop a nomogram to preoperatively predict grade B/C PHLF defined by the International Study Group on Liver Surgery Grading (ISGLS) in HCC patients undergoing major hepatectomy.

Study Design

The consecutive HCC patients who underwent major hepatectomy at the Eastern Hepatobiliary Surgery Hospital between 2008 and 2013 served as a training cohort to develop a preoperative nomogram, and patients from 2 other hospitals comprised an external validation cohort. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to identify preoperative predictors of grade B/C PHLF. Multivariable logistic regression was utilized to establish a nomogram model. Internal and external validations were used to verify the performance of the nomogram. The accuracy of the nomogram was also compared with the conventional scoring models, including MELD and ALBI score.

Results

A total of 880 patients who underwent major hepatectomy (668 in the training cohort and 192 in the validation cohort) were enrolled in this study. The independent risk factors of grade B/C PHLF were age, gender, prothrombin time, total bilirubin, and CSPH, which were incorporated into the nomogram. Good prediction discrimination was achieved in the training (AUROC: 0.73) and validation (AUROC: 0.72) cohorts. The calibration curve also showed good agreement in both training and validation cohorts. The nomogram has a better performance than MELD and ALBI score models.

Conclusion

The proposed nomogram showed more accurate ability to individually predict grade B/C PHLF after major hepatectomy in HCC patients than MELD and ALBI scores.

Prediction of Posthepatectomy Liver Failure with a Combination of Albumin-Bilirubin Score and Liver Resection Percentage

BACKGROUND

Posthepatectomy liver failure (PHLF) is a main cause of death after partial hepatectomy. The aim of this study was to develop a practical stratification system using the albumin-bilirubin (ALBI) score and liver resection percentage to predict severe PHLF and conduct safe hepatectomy.

METHODS

Between January 2002 and March 2021, 361 hepatocellular carcinoma (HCC) patients who underwent partial hepatectomy were enrolled. Medical image analysis software was applied postoperatively to accurately simulate hepatectomy. The liver resection percentage was calculated as follows: (postoperatively reconstructed resected specimen volume [ml] - tumor volume [ml])/total functional liver volume (ml) × 100. Multivariate analysis was performed to identify risk factors for PHLF grade B/C. A heatmap for predicting grade B/C PHLF was generated by combining the ALBI score and liver resection percentage.

RESULTS

Thirty-nine patients developed grade B/C PHLF; 2 of these patients (5.1%) died. Multivariate analysis demonstrated that a high ALBI score and high liver resection percentage were independent predictors of severe PHLF (odds ratio [OR], 8.68, p < 0.001; OR, 1.10, p < 0.001). With a threshold PHLF probability of 50% for the heatmap, hepatectomy was performed for 346 patients meeting our criteria (95.8%) and 325 patients meeting the Makuuchi criteria (90.0%). The positive predictive value and negative predictive value for severe PHLF were 91.6% and 66.7% for our system and 91.7% and 33.3% for the Makuuchi criteria.

CONCLUSION

Our stratification system could increase the number of hepatectomy candidates and is practical for deciding the surgical indications and determining the upper limit of the liver resection percentage corresponding to each patient's liver function reserve, which could prevent PHLF and yield better postoperative outcomes.

Appraisal of multivariable prognostic models for post-operative liver decompensation following partial hepatectomy: a systematic review

BACKGROUND

Few reports have evaluated prognostic modelling studies of tools used for surgical decision-making. This systematic review aimed to describe and critically appraise studies that have developed or validated multivariable prognostic models for post-operative liver decompensation following partial hepatectomy.

METHODS

This study was designed using the CHARMS checklist. Following a comprehensive literature search, two reviewers independently screened candidate references for inclusion and abstracted relevant study details. Qualitative assessment was performed using the PROBAST tool.

RESULTS

We identified 36 prognostic modelling studies; 25 focused on development only, 3 developed and validated models, and 8 validated pre-existing models. None compared routine use of a prognostic model against standard clinical practice. Most studies used single-institution, retrospective cohort designs, conducted in Eastern populations. In total, 15 different outcome definitions for post-operative liver decompensation events were used. Statistical concerns surrounding model overfitting, performance assessment, and internal validation led to high risk of bias for all studies.

CONCLUSIONS

Current prognostic models for post-operative liver decompensation following partial hepatectomy may not be valid for routine clinical use due to design and methodologic concerns. Landmark resources and reporting guidelines such as the TRIPOD statement may assist researchers, and additionally, model impact assessment studies represent opportunities for future research.

Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

Background/Aims

Posthepatectomy liver failure (PHLF) is a major complication that increases mortality in patients with hepatocellular carcinoma after surgical resection. The aim of this retrospective study was to evaluate the utility of magnetic resonance elastography-assessed liver stiffness (MRE-LS) for the prediction of PHLF and to develop an MRE-LS-based risk prediction model.

Methods

A total of 160 hepatocellular carcinoma patients who underwent surgical resection with available preoperative MRE-LS data were enrolled. Clinical and laboratory parameters were collected from medical records. Logistic regression analyses were conducted to identify the risk factors for PHLF and develop a risk prediction model.

Results

PHLF was present in 24 patients (15%). In the multivariate logistic analysis, high MRE-LS (kPa; odds ratio [OR] 1.49, 95% confidence interval [CI] 1.12 to 1.98, p=0.006), low serum albumin (≤3.8 g/dL; OR 15.89, 95% CI 2.41 to 104.82, p=0.004), major hepatic resection (OR 4.16, 95% CI 1.40 to 12.38, p=0.014), higher albumin-bilirubin score (>-0.55; OR 3.72, 95% CI 1.15 to 12.04, p=0.028), and higher serum α-fetoprotein (>100 ng/mL; OR 3.53, 95% CI 1.20 to 10.40, p=0.022) were identified as independent risk factors for PHLF. A risk prediction model for PHLF was established using the multivariate logistic regression equation. The area under the receiver operating characteristic curve (AUC) of the risk prediction model was 0.877 for predicting PHLF and 0.923 for predicting grade B and C PHLF. In leave-one-out cross-validation, the risk model showed good performance, with AUCs of 0.807 for all-grade PHLF and 0. 871 for grade B and C PHLF.

Conclusions

Our novel MRE-LS-based risk model had excellent performance in predicting PHLF, especially grade B and C PHLF.

Update on blood-based biomarkers for chronic liver diseases prognosis: Literature review and institutional experience

Liver cirrhosis is the final stage of chronic liver disease (CLD) and is associated with high morbidity and mortality. Various complications such as portal hypertension, ascites retention, hepatic encephalopathy, and hepatorenal syndrome deeply affect patient outcome. The most common tools to predict the outcome of a CLD patient include the following: assessing severity of portal hypertension; scoring systems such as the model of end-stage liver disease and Child-Pugh score and blood biomarkers related to complications and/or survival rate. In this article, we summarize recent studies of noninvasive markers for predicting impending complications related to CLD and discuss the clinical value of currently available blood biomarkers based on evidence from the literature. In addition, noninvasive blood biomarker assays for different prognostic functions were validated on 113 liver cirrhosis patients at our institution using Kaplan-Meier curve analysis to confirm that these markers can satisfactorily predict CLD-related patient death.

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.

Development and Validation of a Nomogram Based on Perioperative Factors to Predict Post-hepatectomy Liver Failure

BACKGROUND AND AIMS

Post-hepatectomy liver failure (PHLF) is a severe complication and main cause of death in patients undergoing hepatectomy. The aim of this study was to build a predictive model of PHLF in patients undergoing hepatectomy.

METHODS

We retrospectively analyzed patients undergoing hepatectomy at Zhongshan Hospital, Fudan University from July 2015 to June 2018, and randomly divided them into development and internal validation cohorts. External validation was performed in an independent cohort. Least absolute shrinkage and selection operator (commonly referred to as LASSO) logistic regression was applied to identify predictors of PHLF, and multivariate binary logistic regression analysis was performed to establish the predictive model, which was visualized with a nomogram.

RESULTS

A total of 492 eligible patients were analyzed. LASSO and multivariate analysis identified three preoperative variables, total bilirubin (p=0.001), international normalized ratio (p<0.001) and platelet count (p=0.004), and two intraoperative variables, extent of resection (p=0.002) and blood loss (p=0.004), as independent predictors of PHLF. The area under receiver operating characteristic curve (referred to as AUROC) of the predictive model was 0.838 and outperformed the model for end-stage liver disease score, albumin-bilirubin score and platelet-albumin-bilirubin score (AUROCs: 0.723, 0.695 and 0.663, respectively; p<0.001 for all). The optimal cut-off value of the predictive model was 14.7. External validation showed the model could predict PHLF accurately and distinguish high-risk patients.

CONCLUSIONS

PHLF can be accurately predicted by this model in patients undergoing hepatectomy, which may significantly contribute to the postoperative care of these patients.

External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma

Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatectomy. Methods: Data of patients undergoing major hepatectomy for HCC from 4 hospitals between January 01, 2008 and December 31, 2019 were retrospectively analyzed. PHLF was evaluated according to the definition of the 50-50 criteria. Performances of six liver functional reserve models were determined by the area under the receiver operating characteristic curve (AUC), calibration plot and decision curve analysis. Results: A total of 745 patients with 103 (13.8%) experienced PHLF were finally included in this study. Among six liver functional reserve models, ALBI showed the highest AUC (0.64, 95% CI: 0.58-0.69) for PHLF. All models showed good calibration and greater net benefit than treating all patients at a limit range of threshold probabilities, but the ALBI demonstrated net benefit across the largest range of threshold probabilities. Subgroup analysis also showed ALBI had good predictive performance in cirrhotic (AUC=0.63) or non-cirrhotic (AUC=0.62) patients. Conclusion: Among the six models, the ALBI model shows more accurate predictive ability for PHLF in HCC patients undergoing major hepatectomy, regardless of having cirrhosis or not.

Effect of surgical margin on postoperative prognosis in patients with solitary hepatocellular carcinoma: A propensity score matching analysis

Objective: The effect of surgical margin (SM) on the postoperative prognosis of patients with solitary hepatocellular carcinoma (HCC) remains controversial. This study aimed to evaluate the effect of SM on the postoperative prognosis of patients with solitary HCC by using propensity score matching (PSM).

Methods: Patients with solitary HCC who underwent liver resection were divided into a wide margin group (1.0 cm or more, group W) and a narrow margin group (< 1.0 cm, group N). Progression-free survival (PFS) and overall survival (OS) associated with the SM status and the factors influencing postoperative prognosis were evaluated.

Results: Before PSM, the indicators were not balanced between the two groups. PFS and OS were significantly lower in group N than group W. The factors affecting postoperative prognosis were international normalized ratio (INR), AST, capsule integrity, microvascular invasion, tumour embolus and tumour size. After PSM, data of both groups were balanced and comparable, and no significant differences in OS or PFS between the two groups. The INR in the above affecting factors was excluded.

Conclusion: For solitary HCC patients with negative SMs, SM size does not affect prognosis. INR, AST, capsule integrity, microvascular invasion, tumour embolus and tumour size are independent factors influencing the postoperative prognosis of solitary HCC patients.

Prognostic role of preoperative albumin-bilirubin score in posthepatectomy liver failure and mortality: a systematic review and meta-analysis

Posthepatectomy liver failure (PHLF) is a life-threatening complication after liver resection, resulting in an increased morbidity and mortality. Epidemiological evidence of the association between preoperative albumin-bilirubin (ALBI) score, a newly established model for assessing liver functional reserve, and the risk of PHLF and mortality remains controversial. A systematical search for relevant literature was performed in PubMed, Embase, and Web of Science databases from December 2014 to September 2020. Odds ratio (OR) value and 95% confidence interval (CI) were extracted or calculated to synthetically estimate the association of preoperative ALBI score with PHLF and mortality. Meta-analyses were performed using a random-effects model. Twelve studies with a total of 21,348 patients were included in this meta-analysis. It was indicated that, compared to patients with a lower preoperative ALBI grade, patients with a higher grade had a significantly elevated risk of PHLF (6 studies, 18,291 patients; OR = 2.48, 95%CI: 2.00-3.07) and mortality (4 studies15, 139 patients; OR = 2.35, 95% CI: 1.38-4.00). In addition, when it was expressed as a continuous variable, ALBI was also a significant predictor of PHLF (6 studies, 3,833 patients; OR = 3.16, 95% CI: 2.07-4.81, per 1-point increase in ALBI score). No significant publication biases were detected as suggested by funnel plots inspection and Begg's tests. The current meta-analysis demonstrates that preoperative elevated ALBI is associated with higher risk of PHLF and mortality after hepatectomy.

Prognostic Value of the Albumin-Bilirubin Grade for the Prediction of Post-Hepatectomy Liver Failure: A Systematic Review and Meta-Analysis

(1) Introduction: Liver resection (LR) for hepatocellular carcinoma (HCC) is often burdened by life-threatening complications, such as post-hepatectomy liver failure (PHLF). The albumin-bilirubin (ALBI) score can accurately evaluate liver function and the long-term prognosis of HCC patients, including PHLF. We aimed to evaluate the diagnostic value of the ALBI grade in predicting PHLF in HCC patients undergoing LR. (2) Methods: MEDLINE, Embase, and Scopus were searched through January 17th, 2021. Studies reporting the ALBI grade and PHLF occurrence in HCC patients undergoing LR were included. The Odds Ratio (OR) prevalence with 95% confidence intervals (CI) was pooled, and the heterogeneity was expressed as I2. The quality of the studies was assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). (3) Results: Seven studies met the inclusion criteria and were included in the analysis. A total of 5377 patients who underwent LR for HCC were considered, of whom 718 (13.4%) developed PHLF. Patients with ALBI grades 2 and 3 before LR showed increased rates of PHLF compared to ALBI grade 1 patients. The pooled OR was 2.572 (95% CI, 1.825 to 3.626, p < 0.001), with substantial heterogeneity between the studies (I2 = 69.6%) and no publication bias (Begg's p = 0.764 and Egger's p = 0.851 tests). All studies were at a 'low risk' or 'unclear risk' of bias. Univariate meta-regression analysis showed that heterogeneity was not dependent on the country of study, the age and sex of the participants, the definition of PHLF used, the rate of patients in Child-Pugh class A or undergoing major hepatectomy. (4) Conclusions: In this meta-analysis of published studies, individuals with ALBI grades of 2 and 3 showed increased rates of PHLF compared to ALBI grade 1 patients.

Effectiveness of Albumin-bilirubin Score as a Predictor of Post-hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

Backgrounds/Aims

Post-hepatectomy liver failure (PHLF) is a major concern for patients with hepatocellular carcinoma (HCC) who have undergone liver resection. The albumin-bilirubin (ALBI) score is a novel model for assessing liver function. We aimed to investigate the effectiveness of the ALBI score as a predictor of PHLF in HCC patients who have undergone hepatectomy in South Korea.

Methods

Between January 2014 and November 2018, HCC patients who underwent hepatectomy and indocyanine retention rate at 15 min (ICG-R15) test were enrolled in this study.

Results

A total of 101 patients diagnosed with HCC underwent hepatectomy. Thirty-two patients (31.7%) experienced PHLF. The ALBI score (OR 2.83; 95% CI 1.22-6.55; p=0.015), ICG-R15 (OR 1.07; 95% CI 1.02-1.12; p=0.007) and ALBI grade (OR 2,86; 95% CI 1.08-7.58; p=0.035) were identified as independent predictors of PHLF by multivariable analysis. The area under the receiver operating characteristic curve of the ALBI score and ICG-R15 were 0.676 (95% CI 0.566-0.785) and 0.632 (95% CI 0.513-0.752), respectively. The optimal cutoff value of the ALBI score in predicting PHLF was -2.62, with a sensitivity of 75.0% and a specificity of 56.5%.

Conclusions

The ALBI score is an effective predictor of PHLF in patients with HCC, and its predictive ability is comparable to that of ICG-R15.

Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model

Objectives: Preoperative prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) is significant for developing appropriate treatment strategies. We aimed to establish a radiomics-based clinical model for preoperative prediction of PHLF in HCC patients using gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI).

Methods: A total of 144 HCC patients from two medical centers were included, with 111 patients as the training cohort and 33 patients as the test cohort, respectively. Radiomics features and clinical variables were selected to construct a radiomics model and a clinical model, respectively. A combined logistic regression model, the liver failure (LF) model that incorporated the developed radiomics signature and clinical risk factors was then constructed. The performance of these models was evaluated and compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC) with 95% confidence interval (CI).

Results: The radiomics model showed a higher AUC than the clinical model in the training cohort and the test cohort for predicting PHLF in HCC patients. Moreover, the LF model had the highest AUCs in both cohorts [0.956 (95% CI: 0.955–0.962) and 0.844 (95% CI: 0.833–0.886), respectively], compared with the radiomics model and the clinical model.

Conclusions: We evaluated quantitative radiomics features from MRI images and presented an externally validated radiomics-based clinical model, the LF model for the prediction of PHLF in HCC patients, which could assist clinicians in making treatment strategies before surgery.

Survival and prognostic factors after transplantation, resection and ablation in a national cohort of early hepatocellular carcinoma

BACKGROUND

In patients with early hepatocellular cancer (HCC) and preserved liver function, the choice between transplantation, resection and ablation and which factors to consider is not obvious and guidelines differ. In this national cohort study, we aimed to compare posttreatment survival in patients fulfilling predefined criteria, and to analyse preoperative risk factors that could influence decision.

METHODS

We used data from HCC-patients registered with primary transplantation, resection or ablation 2008-2016 in the SweLiv-registry. In Child A-subgroups, 18-75 years, we compared survival after transplantation or resection, with different tumour criteria; either corresponding to our transplantation criteria (N = 257) or stricter with single tumours ≤50 mm (N = 159). A subgroup with single tumours ≤30 mm, compared all three treatments (N = 193).

RESULTS

We included 1022 HCC-patients; transplantation n = 223, resection n = 438, ablation n = 361. In the transplant criteria subgroup, differences in five-year survival, adjusted for age and gender, were not significant, with 71.2% (CI 62.3-81.3) after transplantation (n = 109) and 63.5% (CI 54.9-73.5) after resection (n = 148). Good liver function (Child 5 vs. 6, Albumin ≥36), increased the risk after transplantation, but decreased the risk after resection and ablation.

CONCLUSION

Even within Child A, detailed liver function assessment is important before treatment decision, and for stratifying survival comparisons.

Prognostic impact of adjuvant chemolipiodolization and treatment frequency on patients with hepatocellular carcinoma after hepatectomy: Prospective study with historical control group

BACKGROUND

Reducing or minimizing metastatic recurrence is a consideration in prolongation of survival of patients with hepatocellular carcinoma. We previously proposed single adjuvant chemolipiodolization (ACL) as a possible adjuvant treatment. The current study aims to further improve prognosis by performing ACL three times (sequential-ACL).

METHODS

We examined the prognostic impact of sequential-ACL compared with our historical cohort groups: resection alone (non-ALC) and single-ACL. We evaluated recurrence-free survival (RFS), recurrence pattern, and overall survival. Multivariate prognostic analyses were used to adjust baseline bias between three treatment groups.

RESULTS

Non-ACL (n = 64), single-ACL (n = 137), and sequential-ACL (n = 95) showed 40, 54, and 62% of two-year RFS rates (P = 0.03 and P = 0.007 compared with non-ACL). Recurrence pattern beyond Milan criteria was frequently observed in the non-ACL group (P = 0.003). Five-year overall survival rates of these three groups were 53, 69, and 77% (P = 0.02 and 0.002 compared with non-ACL). Single- and sequential-ACL were selected as independent favorable factors for five-year overall survival; their hazard ratios (95% confidence interval) were 0.61 (0.37-0.99) and 0.48 (0.26-0.86). However, compared with single-ACL, there was no additional prognostic effects of sequential-ACL.

CONCLUSIONS

Single- and sequential-ACL treatment both showed better RFS and overall survival with minimized recurrence patterns than resection alone. There was not sufficient additional benefit by sequential-ACL, however, over single-ACL. Single-ACL might therefore be appropriate as an adjuvant therapy.

A novel online calculator based on albumin-bilirubin and aspartate transaminase-to-platelet ratio index for predicting postoperative morbidity following hepatectomy for hepatocellular carcinoma

Email

zhangchengwuzr@hotmail.com; Prof. Tian Yang, MD. Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China. Email: yangtiandfgd@hotmail.com.

Background

Identifying patients at high risks of developing postoperative morbidity is important to improve perioperative outcomes. We sought to define the accuracy of two objective and non-invasive serological-based scores, i.e., albumin-bilirubin (ALBI) and aspartate transaminase-to-platelet ratio index (APRI), to predict postoperative morbidity among patients undergoing hepatectomy for hepatocellular carcinoma (HCC), and build up a personalized predictive tool for clinical practice.

Methods

Clinical data of patients who underwent hepatectomy for HCC at 8 hospitals from a multicenter database were retrospectively analyzed. The predictive accuracy of ALBI and APRI relative to 30-day overall and major morbidity were evaluated using area under the receiver operating characteristic curves (AUC). Based on multivariable logistic regression analyses, preoperative and postoperative nomogram models and consequent online calculators were constructed to predict overall and major morbidity, respectively.

Results

Among 2,301 patients, 725 (31.5%) experienced postoperative complications (major morbidity, 35.9%, 260/725). Multivariable analyses identified high ALBI grade (>−2.6) and APRI grade (>1.5) as independent risk factors associated with overall and major morbidity in both preoperative and postoperative prediction models. Two nomogram predictive models and corresponding online calculators that combined ALBI and APRI were subsequently constructed. The AUCs of the preoperative and postoperative models were 0.728 and 0.742 to predict overall morbidity, and 0.739 and 0.713 to predict major morbidity, respectively, which were much higher than those of Child-Pugh score and the model for end-stage liver disease (MELD). Using the bootstrap validation method, the resulting models were internally validated well.

Conclusions

Preoperative ALBI and APRI scores can predict postoperative morbidity following hepatectomy for HCC. An easy-to-use online calculator that combined ALBI and APRI was proposed for individually predicting the probabilities of postoperative overall and major morbidity before and immediately after surgery, so as to provide useful information to inform conversations about surgical risks.

A simple and clinically applicable model to predict liver-related morbidity after hepatic resection for hepatocellular carcinoma

BACKGROUND & AIM

Hepatic resection is a treatment option for patients with hepatocellular carcinoma (HCC). However, factors associated with candidacy for resection and predictive of liver-related morbidity after resection for HCC remain unclear. This study aimed to assess candidacy for liver resection in patients with HCC and to design a model predictive of liver-related morbidity after resection.

METHODS

A retrospective analysis of 1,565 patients who underwent liver resection for HCC between January 2016 and December 2017 was performed. The primary outcome was liver-related morbidity, including post-hepatectomy biochemical dysfunction (PHBD), ascites, hepatic encephalopathy, rescue liver transplantation, and death from any cause within 90 days. PHBD was defined as international normalized ratio (INR) > 1.5 or hyperbilirubinemia (> 2.9 mg/dL) on postoperative day ≥ 5.

RESULTS

The 1,565 patients included 1,258 (80.4%) males and 307 (19.6%) females with a mean age of 58.3 years. Of these patients, 646 (41.3%) and 919 (58.7%) patients underwent major and minor liver resection, respectively. Liver-related morbidity was observed in 133 (8.5%) patients, including 77 and 56 patients who underwent major and minor resection, respectively. A total of 83 (5.3%) patients developed PHBD. Multivariate analysis identified cut-off values of the platelet count, serum albumin concentration, and ICG R15 value for predicting liver-related morbidity after resection. A model predicting postoperative liver-related morbidity was developed, which included seven factors: male sex, age ≥ 55 years, ICG R15 value ≥ 15%, major resection, platelet count < 150,000/mm3, serum albumin concentration < 3.5 g/dL, and INR > 1.1.

CONCLUSION

Hepatic resection for HCC was safe with 90-day liver-related morbidity and mortality rates of 8.5% and 0.8%, respectively. The developed point-based scoring system with seven factors could allow the prediction of the risk of liver-related morbidity after resection for HCC.

Post hepatectomy liver failure (PHLF) - Recent advances in prevention and clinical management

BACKGROUND

Posthepatectomy liver failure (PHLF) is a relatively rare but feared complication following liver surgery, and associated with high morbidity, mortality and cost implications. Significant advances have been made in detailed preoperative assessment, particularly of the liver function in an attempt to predict and mitigate this complication.

METHODS

A detailed search of PubMed and Medline was performed using keywords "liver failure", "liver insufficiency", "liver resection", "postoperative", and "post-hepatectomy". Only full texts published in English were considered. Particular emphasis was placed on literature published after 2015. A formal systematic review was not found feasible hence a pragmatic review was performed.

RESULTS

The reported incidence of PHLF varies widely in reported literature due to a historical absence of a universal definition. Incorporation of the now accepted definition and grading of PHLF would suggest the incidence to be between 8 and 12%. Major risk factors include background liver disease, extent of resection and intraoperative course. The vast majority of mortality associated with PHLF is related to sepsis, organ failure and cerebral events. Despite multiple attempts, there has been little progress in the definitive and specific management of liver failure. This review article discusses recent advances made in detailed preoperative evaluation of liver function and evidence-based targeted approach to managing PHLF.

CONCLUSION

PHLF remains a major cause of mortality following liver resection. In absence of a specific remedy, the best approach is mitigating the risk of it happening by detailed assessment of liver function, patient selection and general care of a critically ill patient.

Neutrophil to lymphocyte ratio and albumin bilirubin grade in hepatocellular carcinoma: A systematic review

BACKGROUND

Hepatocellular carcinoma (HCC) is a frequent cause of cancer related death globally. Neutrophil to lymphocyte ratio (NLR) and albumin bilirubin (ALBI) grade are emerging prognostic indicators in HCC.

AIM

To study published literature of NLR and ALBI over the last five years, and to validate NLR and ALBI locally in our centre as indicators of HCC survival.

METHODS

A systematic review of the published literature on PubMed of NLR and ALBI in HCC over the last five years. The search followed the guidelines of the preferred reporting items for systematic reviews and meta-analyses. Additionally, we also investigated HCC cases between December 2013 and December 2018 in our centre.

RESULTS

There were 54 studies describing the relation between HCC and NLR and 95 studies describing the relation between HCC and ALBI grade over the last five years. Our local cohort of patients showed NLR to have a significant negative relationship to survival (P = 0.011). There was also significant inverse relationship between the size of the largest HCC nodule and survival (P = 0.009). Median survival with alpha fetoprotein (AFP) < 10 KU/L was 20 mo and with AFP > 10 KU/L was 5 mo. We found that AFP was inversely related to survival, this relationship was not statically significant (P = 0.132). Mean survival for ALBI grade 1 was 37.7 mo, ALBI grade 2 was 13.4 months and ALBI grade 3 was 4.5 mo. ALBI grades performed better than Child Turcotte Pugh score in detecting death from HCC.

CONCLUSION

NLR and ALBI grade in HCC predict survival better than the conventional alpha fetoprotein. ALBI grade performs better than Child Turcotte Pugh score. These markers are done as part of routine clinical care and in cases of normal alpha fetoprotein, these markers could give a better understanding of the patient disease progression. NLR and ALBI grade could have a role in modified easier to learn staging and prognostic systems for HCC.

Association between preoperative prealbumin level and postoperative mortality and morbidity after hepatic resection for hepatocellular carcinoma: A multicenter study from a HBV-endemic area

BACKGROUND

Prealbumin is a more sensitive serum biomarker in reflecting liver function and nutritional status than albumin, because of its shorter half-life and its characteristics that could hardly be affected by supplemental venous infusion of albumin or blood transfusion. This study aimed to identify whether preoperative prealbumin level was associated with postoperative mortality and morbidity after hepatic resection for patients with hepatocellular carcinoma (HCC).

METHODS

From a Chinese multicenter database, patients who underwent hepatic resection for HCC were divided into the low and normal prealbumin groups by using 17 mg/dL as the cut-off level for serum prealbumin taken within a week before surgery. Using univariable and multivariable logistic regression analyses, independent predictors associated with postoperative 30-day and 90-day mortality, 30-day overall and major morbidity, and postoperative hepatic insufficiency were identified.

RESULTS

Among 1356 patients, 409 (30.2%) had a low preoperative prealbumin level. Postoperative 30-day and 90-day mortality, and 30-day overall and major morbidity in the low prealbumin group were significantly higher than the normal prealbumin group (2.9% vs. 0.5%, 5.1% vs. 1.5%, 35.7% vs. 18.4%, and 14.4% vs. 6.5%, respectively, all P < 0.001). Multivariable analyses identified that preoperative prealbumin level, but not albumin level, was independently associated with postoperative 30-day mortality (OR: 3.486, 95% CI: 1.184-10.265), 90-day mortality (2.504, 1.219-5.145), 30-day overall morbidity (1.727, 1.302-2.292), 30-day major morbidity (1.770, 1.155-2.711) and postoperative hepatic insufficiency (1.967, 1.119-3.427).

CONCLUSIONS

Preoperative prealbumin level could be used to predict postoperative morbidity and mortality for patients treated with hepatic resection for 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.

New frontiers in liver resection for hepatocellular carcinoma

Liver resection is one of the main curative options for early hepatocellular carcinoma (HCC) in patients with cirrhosis and is the treatment of choice in non-cirrhotic patients. However, careful patient selection is required to balance the risk of postoperative liver failure and the potential benefit on long-term outcomes. In the last decades, improved surgical techniques and perioperative management, as well as better patient selection, have enabled the indications for liver resection to be expanded. In this review, we aim to describe the main indications for liver resection in the management of HCC, its role compared to percutaneous ablation and liver transplantation in the therapeutic algorithm, as well as the recent advances in liver surgery that could be used to improve the prognosis of patients with HCC.

Liver resection in Cirrhotic liver: Are there any limits?

Liver resection remains one of the most technically challenging surgical procedure in abdominal surgery due to the complex anatomical arrangement in the liver and its rich blood supply that constitutes about 20% of the cardiac output per cycle. The challenge for resection in cirrhotic livers is even higher because of the impact of surgical stress and trauma imposed on borderline liver function and the impaired ability for liver regeneration in cirrhotic livers. Nonetheless, evolution and advancement in surgical techniques as well as knowledge in perioperative management of liver resection has led to a substantial improvement in surgical outcome in recent decade. The objective of this article was to provide updated information on the recent developments in liver surgery, from preoperative evaluation, to technicality of resection, future liver remnant augmentation and finally, postoperative management of complications.

Prognostic role of preoperative albumin-bilirubin grade on patients with hepatocellular carcinoma after surgical resection: a systematic review and meta-analysis

Recent studies have reported albumin-bilirubin (ALBI) grade affected the prognosis of patients with hepatocellular carcinoma (HCC). To more precisely evaluate the relationship among the ALBI grade and the prognosis of patients with HCC after liver resection. We systematically retrieved articles from PubMed, Web of Science, Cochrane Library, and CNKI. The prognostic value of ALBI grade on overall survival (OS) and recurrence-free survival (RFS) of patients with HCC after liver resection was evaluated by pooled hazard ratio (HR) with 95% confidence interval (CI).Through multiple databases search, we enrolled 20 high-quality studies with 11365 patients, regarding the association between the ALBI grade and the prognosis of patients with HCC after liver resection. Our results showed that higher ALBI grade is associated with poored OS (HR, 1.64; 95% CI: 1.51-1.78; P < 0.001; I = 24.9%) and RFS (HR, 1.42; 95% CI: 1.26-1.59; P < 0.001; I = 0). Moreover, subgroup analysis showed the significant correlation between ALBI grade and poor long-term survival was not altered in different geographical areas, sample sizes, follow-up duration, and quality scores. The ALBI grade may be as effective predictive biomarkers for prognosis in patients with HCC after liver resection.

Comparison of albumin-bilirubin grade versus Child-Pugh score in predicting the outcome of transarterial chemoembolization for hepatocellular carcinoma using time-dependent ROC

Background

The Child-Pugh score has been used extensively to assess hepatic function and predict post-treatment outcomes in patients with hepatocellular carcinoma (HCC). Recently, the albumin-bilirubin (ALBI) grade has been put forward as an objective method of evaluating liver function and predicting overall survival (OS) in HCC patients. Transarterial chemoembolization (TACE) is considered to be effective in prolonging OS among intermediate-stage HCC patients. This study aimed to explore and compare the performance of ALBI grade and Child-Pugh score in predicting outcomes for HCC patients who underwent TACE.

Methods

There were a total of 221 consecutive HCC patients enrolled in this study, all of whom received TACE and were enrolled retrospectively. The Kaplan-Meier method and time-dependent receiver operating curves (ROC) were used to estimate the discriminatory ability and survival prediction accuracy of ALBI grade and Child-Pugh score in predicting postoperative OS. Univariate and multivariate Cox regression analyses were performed to evaluate the prognostic factors for OS.

Results

Of the patients enrolled in the study, 106 (48.0%) were ALBI grade 1 and 115 (52.0%) were ALBI grade 2. Overall survival differed significantly between patients with ALBI-1 and ALBI-2 [hazard ratio (HR), 3.032; 95% CI, 2.019-4.555, P<0.001]. With regard to Child-Pugh scores, 160 (72.4%) patients had a score of A5 and 61 (27.6%) had a score of A6. There was also a difference in overall survival between patients with Child-Pugh-A5 and Child-Pugh-A6 (HR, 1.548; 95% CI, 1.066-2.247, P=0.022). In multivariate analyses, both ALBI grade and Child-Pugh score could significantly stratify the patients with different OS (HR, 2.994 and 1.545, P<0.001 and P=0.026 for ALBI grade and Child-Pugh score, respectively). Furthermore, time-dependent ROC analysis and its subgroup analyses demonstrated that the ALBI grade had a better discriminatory ability than Child-Pugh score in predicting survival.

Conclusions

In stratifying prognosis for HCC patients who had received TACE therapy, the ALBI grade provided better prognostic performance and discrimination of liver function than Child-Pugh score. These results suggest that ALBI grade could provide an alternative liver function grading system for stratification of patients with HCC.

Comparison between Child-Pugh score and Albumin-Bilirubin grade in the prognosis of patients with HCC after liver resection using time-dependent ROC

Backgrounds

The Child-Pugh score is a scoring system used to measure liver function and predict postoperative outcomes in patients with hepatocellular carcinoma (HCC). Recently, the Albumin-Bilirubin (ALBI) grade has been proposed for the evaluation of hepatic reserve function in HCC. This study aimed to assess and compare the capability of ALBI grade and Child-Pugh score in predicting overall survival (OS).

Methods

A total of 196 consecutive HCC patients who treated with hepatectomy were enrolled in this retrospective study. The prognostic values of ALBI grade and Child-Pugh score in predicting postoperative OS were respectively estimated using the Kaplan-Meier method and time-dependent receiver operating curves (ROC). Univariate and multivariate Cox regression analyses were performed to investigate the prognostic factors for OS.

Results

Stratified by the Albumin-Bilirubin (ALBI) system, there were 81 (41.3%) patients with grade 1 and 115 (58.7%) patients with grade 2. The cumulative 1-, 3-, 5-year OS rates in patients with ALBI-1 were 82.7%, 51.5% and 35.5%, respectively. For patients with ALBI-2, the cumulative 1-, 3-, 5-year OS rates were 57.6%, 19.4% and 0%, respectively. Based on the Child-Pugh classification, 136 (69.4%) patients had a score of 5, and 60 (30.6%) patients had a score of 6. Patients with Child-Pugh-A5 showed a better OS than those with Child-Pugh-A6, with respective OS at 1, 3 and 5 years (72.7%, 29.2%, 20.3% vs. 53.9%, 21.1%, 0%, Log-rank P<0.001). Besides, the ALBI grade revealed two prognostic groups within Child-Pugh-A5 (P<0.001), while the Child-Pugh score did not distinguish ALBI-2 in different prognostic groups (P=0.705). The multivariate analysis indicated that both ALBI grade and Child-Pugh score could significantly stratify the patients with different OS [hazard ratio (HR), 3.088 and 1.783; 95% confidence interval (CI), 1.985 to 4.805 and 1.272 to 2.731; P<0.001 and P=0.032 for ALBI grade and Child-Pugh score, respectively]. Additionally, time-dependent ROC analysis in the entire cohort proved that the ALBI grade had a better discriminatory ability than the Child-Pugh score in predicting survival, especially for long-term outcomes. According to the subgroup analyses, the ALBI grade had a better discriminatory ability and survival prediction accuracy in overall subsets than the Child-Pugh score for the prediction of OS.

Conclusions

ALBI grade supplied better prognostic performance and distribution of liver function than Child-Pugh score in stratifying prognosis for HCC patients treated by hepatectomy. These results declared that ALBI grade could be an alternative liver function grading system for stratification in patients with HCC.

Indocyanine green clearance of remnant liver (ICG-Krem) predicts postoperative subclinical hepatic insufficiency after resection of colorectal liver metastasis: theoretical validation for safe expansion of Makuuchi's criteria

BACKGROUND

Multidisciplinary treatment for colorectal liver metastases (CLMs) often includes major hepatectomy for preoperative chemotherapy-related hepatic injury, although the safety limit for resection extent is unclear. We investigated this parameter using the estimated indocyanine green clearance rate (ICG-K) of liver remnants, focusing on postoperative subclinical hepatic insufficiency (PHI).

METHODS

Altogether, 225 patients who underwent resection of CLMs were studied. The predictive power of estimated ICG-K of liver remnant (ICG-Krem) for subclinical PHI (peak bilirubin ≥3 mg/dL or refractory ascites) was compared with those of other potential predictors. The suggested safety limit of ICG-Krem ≥0.05 was also assessed.

RESULTS

Receiver-operating curve analysis revealed that ICG-Krem [area under the curve (AUC) 0.752, cutoff 0.102] was the best predictor of subclinical PHI (AUC range for others was 0.632-0.668). Makuuchi's criteria corresponded to ICG-Krem 0.10. Subclinical PHI incidence was significantly elevated at ICG-Krem <0.10 (26% vs 8%, p = 0.002), while potentially fatal PHI (peak bilirubin >7 mg/dL) was not observed until down to ICG-Krem of 0.05.

CONCLUSIONS

ICG-Krem sensitively predicts subclinical PHI. Liver failure-related death could be avoided so long as ICG-Krem remains at ≥0.05. However, patients with ICG-Krem 0.05-0.10 are at high risk of subclinical PHI and require intensive care postoperatively.

Albumin-Bilirubin Score vs Model for End-Stage Liver Disease in Predicting Post-Hepatectomy Outcomes

BACKGROUND

The Albumin-Bilirubin score (ALBI) has been established to predict outcomes after hepatectomy. However, the relative value of ALBI and Model for End-Stage Liver Disease (MELD) in predicting post-hepatectomy liver failure and mortality has not been adequately evaluated. Therefore, the aim of this study was to validate and compare ALBI and MELD with respect to post-hepatectomy liver failure and mortality.

STUDY DESIGN

Patients undergoing major hepatectomy (≥3 segments) or partial hepatectomy (≤2 segments) were identified in the 2014 to 2017 American College of Surgeons NSQIP Procedure Targeted Participant Use File. Univariable and multivariable analyses were performed for 30-day post-hepatectomy liver failure (PHLF) and mortality. Predictive accuracy was assessed using a receiver operator characteristic curve and calculating the area under the curve (AUC).

RESULTS

For 13,783 patients, median ALBI was -2.6, and median MELD score was 6.9. Severe PHLF (grade B to C) and mortality rates were 2.9% and 1.8%, respectively. Multivariable analyses revealed ALBI grade 2/3 to be a stronger predictor than MELD ≥10 with respect to severe PHLF (odds ratio [OR] 2.30; 95% CI, 1.95 to 2.73; p < 0.001 vs OR 1.00; 95% CI, 0.78 to 1.23; p = 0.99) and mortality (OR 3.35; 95% CI, 2.49 to 4.52; p < 0.001 vs OR 1.73; 95% CI, 1.36 to 2.20; p < 0.001). ALBI also had better discrimination compared with MELD for severe PHLF (AUC 0.67 vs AUC 0.60) and mortality (AUC 0.70 vs AUC 0.58) in patients with hepatocellular carcinoma.

CONCLUSIONS

ALBI is a powerful predictor of PHLF and mortality. Compared with MELD, ALBI is more accurate, especially in patients with hepatocellular carcinoma.

Prediction of Transplant-Free Survival through Albumin-Bilirubin Score in Primary Biliary Cholangitis

Albumin–bilirubin (ALBI) grade is defined using the ALBI score, which is calculated based on total serum bilirubin and albumin. This study aimed to evaluate the diagnostic ability of the ALBI score for determining hepatic fibrosis stage and transplant-free survival in primary biliary cholangitis (PBC) patients. A total of 181 Japanese patients with biopsy-proven or serologically diagnosed PBC were enrolled. The pathological stage was assessed using the Scheuer classification. The ALBI score differentiated fibrosis in stage 4 from that of 3 in the biopsy-proven cohort (p < 0.05). With an ALBI score cut-off value of −1.679, the sensitivity and specificity were 100% and 91.1%, respectively, with a likelihood ratio of 12.3 to differentiate stage 4 from stages 1–3. The ALBI score at the beginning of ursodeoxycholic acid (UDCA) prescription correlated with the two prognostic scores calculated after 1-year UDCA treatment. Kaplan–Meier analysis showed that the baseline ALBI score differentiated liver transplant-free survival (p < 0.05). The ALBI score presented a greater hazard ratio for transplant-free survival than aspartate aminotransferase-to-platelet ratio index (APRI) in Cox proportional hazard model. In conclusion, ALBI score indicates pathological stage in Japanese PBC patients and scores before UDCA prescription predict better liver transplant-free survival, which correlated well with the two major prognostic scores. The prognosis-predicting ability of the ALBI score might surpass that of APRI.

Albumin-bilirubin score indicates liver fibrosis staging and prognosis in patients with chronic hepatitis C

AIM

Albumin-bilirubin (ALBI) grade was investigated to predict prognosis of patients with cirrhosis. It was defined using the ALBI score calculated based on serum total bilirubin and albumin, which represent liver function. The diagnostic accuracy for liver fibrosis staging in patients with chronic hepatitis using the ALBI score has not been investigated well. This study aimed to evaluate the diagnostic abilities of the ALBI score for liver fibrosis staging in chronic hepatitis and cirrhosis in Japanese patients with hepatitis C virus (HCV) infection.

METHODS

Japanese patients with HCV infection who underwent liver biopsy examinations were enrolled in a retrospective study. Fibrosis staging and activity grading were assessed using the modified METAVIR score. The ALBI score was calculated according to the following equation: Log10 total bilirubin (μmol/L) × 0.66 + albumin (g/L) × (-0.085).

RESULTS

A total of 382 patients were enrolled in this study. The ALBI score differentiated fibrosis stage 4 from 3 and stage 3 from 2 (P < 0.05). When an ALBI score of -2.125 was adopted as a cut-off value, the sensitivity and specificity were 73.2% and 87.1%, respectively, with a positive likelihood ratio of 5.67 to differentiate stage 4 from stages 1-3. Kaplan-Meier analysis showed that smaller ALBI scores at baseline correlated with better hepatocellular carcinoma (HCC)-free and overall survival (P < 0.05).

CONCLUSIONS

The ALBI score indicates liver fibrosis staging in Japanese patients with HCV infection. Furthermore, smaller ALBI scores predict better HCC-free survival and overall survival. The ALBI score has the potential to expand its application from cirrhosis to chronic hepatitis.

ALBI/ST ratio versus FIB-4 and APRI as a predictor of posthepatectomy liver failure in hepatocellular carcinoma patients

A precise and noninvasive method to predict posthepatectomy liver failure (PHLF) in clinical practice is still lacking. Liver fibrosis or cirrhosis accompanied with varying degrees of portal hypertension plays an important role in the occurrence of PHLF in hepatocellular carcinoma (HCC) patients. This study aims to compare the predictive ability of the albumin-bilirubin score to spleen thickness ratio (ALBI/ST) versus fibrosis-4 index (FIB-4) and aspartate aminotransferase to platelet count ratio index (ARPI) for the occurrence of PHLF. We retrospectively enrolled 932 patients who underwent liver resection for HCC between 2010 and 2017. The predictive accuracy of ALBI/ST ratio, FIB-4, and APRI for occurrence of PHLF was evaluated by receiver operating characteristic curve analysis. PHLF was diagnosed in 69 (7.4%) patients. The ALBI/ST ratio was found to be a significant predictor of PHLF. The AUC of ALBI/ST (AUC = 0.774; 95% CI, 0.731-0.817; P <.001) was larger than that of FIB-4 (AUC = 0.696; 95% CI, 0.634-0.759; P <.001) and APRI (AUC = 0.697; 95% CI, 0.629-0.764; P <.001). Multivariate analysis demonstrated that ALBI/ST ratio was a strong risk factor of PHLF in all hepatectomy subgroups. In conclusion, the ALBI/ST ratio has a superior predictive ability for PHLF compared with APRI and FIB-4.