Combination Of ALBI And APRI To Predict Post-Hepatectomy Liver Failure After Liver Resection For HBV-Related HCC Patients

Prognostic Value of Liver Biomarkers in Hepatocellular Carcinoma Patients Undergoing Yttrium 90 Transarterial Radioembolization (TARE): A Retrospective Pilot Study

INTRODUCTION

Hepatocellular carcinoma (HCC) is a common cause of cancer-related death worldwide. The prognosis for HCC depends on the tumor stage, and curative therapies are more accessible in the early stages. However, effective treatments are available even in advanced stages. Transarterial radioembolization (TARE) is an alternative to transarterial chemoembolization (TACE) with reduced risk and extended disease progression time. Identifying prognostic indicators and treatment response biomarkers remains crucial. The purpose of this study was to assess the association between biomarkers related to fibrosis, liver function, and immune inflammation with tumor response to yttrium 90 transarterial radiotherapy (Y90 or TARE) in patients with HCC.

METHODS

This study enrolled patients who underwent Y90 radiotherapy for bridging, downstaging, or palliative treatment after discussion in a multidisciplinary tumor board. Using the modified Response Evaluation Criteria in Solid Tumors (mRECIST), tumor response was classified into two groups: "responders" (complete and partial response) and "non-responders" (stable and progressive disease). Logistic regression analysis was used to evaluate the association between predictors, biomarkers such as aspartate aminotransferase (AST)-to-platelet ratio index (APRI), fibrosis-4 (FIB-4), albumin-bilirubin (ALBI) score, model for end-stage liver disease (MELD) score, MELD sodium, and the systemic immune-inflammatory indexes, at established cut-offs and tumor response.

RESULTS

Of 35 patients, 22 (63%) were Whites and non-Hispanics, 32 (91%) were diagnosed with cirrhosis, and 14 (40%) of these had a viral etiology. According to mRECIST, 18 (51%) patients were classified as "responders." In multivariable logistic regression analysis, biomarkers associated with tumor response were ALBI score ≤-2.8 (odds ratio (OR) 6.1, 95%CI 2.7-14.4) and the neutrophil-to-lymphocyte ratio (NLR) ≤ 1.92 (OR 5.1, 95%CI 0.8-11.9). Biomarkers had moderate accuracy in predicting tumor response (C-statistic 0.75).

CONCLUSION

The ALBI score is a reliable predictor of treatment response following TARE. The NLR index may offer further prognostic information, and both biomarkers can be used in combination; however, further research in larger sample sets is needed.

The Impact of Chemotherapy and Transforming Growth Factor-β1 in Liver Regeneration after Hepatectomy among Colorectal Cancer Patients

An ongoing debate surrounds the impact of chemotherapy on post-hepatectomy liver regeneration in patients with colorectal cancer liver metastases (CRLM), with unclear regulatory mechanisms. This study sought to delve into liver regeneration post-resection in CRLM patients, specifically examining the roles of hepatocyte growth factor (HGF) and transforming growth factor β1 (TGF-β1). In this longitudinal observational study, 17 patients undergoing major liver resection for CRLM and 17 with benign indications as controls were enrolled. Liver regeneration within 30 postoperative days was assessed via CT, considering clinicopathological characteristics, liver enzymes, liver stiffness by elastography, and the impact of HGF and TGF-β1 on liver regeneration. The results revealed that the control group exhibited significantly higher mean liver regeneration volume (200 ± 180 mL) within 30 days postoperatively compared to the CRLM group (72 ± 154 mL); p = 0.03. Baseline alkaline phosphatase (AP) and TGF-β1 blood levels were notably higher in the CRLM group. Immunohistochemical analysis indicated a higher proportion of CRLM patients with high TGF-β1 expression in liver tissues compared to the control group (p = 0.034). Correlation analysis showed that resected liver volume, baseline plasma HGF, AP, and albumin levels significantly correlated with liver regeneration volume. However, in multivariable analysis, only resected liver volume (β: 0.31; 95% CI: 0.14-0.47, p = 0.01) remained significant. In conclusion, this study highlights compromised liver regeneration in CRLM patients post-chemotherapy. Additionally, these patients exhibited lower serum TGF-β1 levels and reduced TGF-β1 expression in liver tissue, suggesting TGF-β1 involvement in mechanisms hindering liver regeneration capacity following major resection after chemotherapy.

A novel combined C-reactive protein-albumin ratio and modified albumin-bilirubin score can predict long-term outcomes in patients with hepatocellular carcinoma after hepatic resection

Background

Systemic inflammatory response represented by C-reactive protein and albumin ratio (CAR) and modified albumin-bilirubin (mALBI) grade both have been associated with long-term outcome in patients with hepatocellular carcinoma (HCC). In this study, we investigated the prognostic utility of combined score of CAR and mALBI score to predict the prognosis of HCC patients after hepatic resection.

Methods

This study included 214 patients who had undergone primary hepatic resection for HCC between 2008 and 2018. Systemic inflammatory response and mALBI were evaluated preoperatively and patients were classified into three groups based on the combination of CAR and mALBI score: low CAR and low mALBI grade (score 0), either high CAR or high mALBI grade (score 1), and both high CAR and high mALBI grade ≥2b (score 2). Multivariate Cox proportional hazard models were conducted to assess disease-free and overall survival.

Results

In multivariate analysis, sex (p < 0.01), HBsAg positivity (p < 0.01), serum AFP level ≥20 ng/mL (p < 0.01), microvascular invasion (p = 0.02), multiple tumors (p < 0.01), type of resection (p < 0.01), and CAR-mALBI score ≥2 (HR 2.19, 95% CI 1.39-3.44, p < 0.01) were independent prognostic factors of disease-free survival, while sex (p = 0.01), HBsAg positivity (p < 0.01), poor tumor differentiation (p = 0.03), multiple tumors (p < 0.01), CAR-mALBI score ≥2 (HR 2.70, 95% CI 1.51-4.83, p < 0.01) were independent prognostic factors of overall survival.

Conclusions

CAR-mALBI score is associated with disease-free and overall survival in patients with HCC after hepatic resection, suggesting the importance of evaluating both hepatic functional reserve and host-inflammatory state in the risk assessment of HCC patients.

APRI score is not predictive of post-surgical outcomes in cholangiocarcinoma patients

Background

Cholangiocarcinoma is an epithelial malignancy of the intrahepatic or extrahepatic biliary tree, primarily driven by chronic inflammation and fibrosis. Fibrosis has been shown to correlate with malignancy, and the aminotransferase-platelet ratio index (APRI) score, a marker for hepatic fibrosis, has proved useful in prognosticating hepatocellular carcinoma. This study aimed to assess the utility of APRI score in predicting post-surgical outcomes in cholangiocarcinoma patients.

Methods

Clinical data from a total of 152 cholangiocarcinoma patients who underwent surgical resection at the Mayo Clinic were collected. The data were subsequently analyzed to determine if there was a relationship between APRI score and the demographic, laboratory, pathologic and outcome data, including overall survival. To determine the relationship between quantitative and qualitative data and the APRI score, a P-value <0.05 was considered as statistically significant.

Results

No relationship between APRI score and demographic factors was identified. There were correlations between APRI score and alanine transaminase, albumin and bilirubin, but the remaining laboratory parameters showed no correlation. APRI score did not prove to be useful as a prognostic tool, as it did not correlate with tumor pathology features (tumor grade t-test P=0.86, N stage ANOVA P=0.94, vascular invasion t-test P=0.59, and perineural invasion t-test P=0.14), or with post-surgical recurrence (t-test P=0.22) and mortality (t-test P=0.39).

Conclusion

APRI score is not a prognostic tool for post-surgical outcomes in patients with cholangiocarcinoma.

Aspartate Aminotransferase/Platelet Ratio Index Upon Admission Predicts 24-Week Mortality in Patients With HIV-Associated Talaromyces marneffei

Background

A high aspartate aminotransferase/platelet ratio index (APRI) predicts mortality in patients with severe infection. This study aims to assess the potential of APRI as a predictor for mortality in patients with HIV-associated Talaromyces marneffei (HTM).

Methods

Associations between APRI and CD4 count, white blood cell count, C-reactive protein (CRP) level, procalcitonin (PCT) level, and cytokines were assessed in 119 patients. Univariate and multivariate Cox regression models were used to predict APRI on 24-week mortality.

Results

APRI was positively associated with CRP (r = 0.190, P = .039), PCT (r = 0.220, P = .018), interleukin 6 (r = 0.723, P < .001), interleukin 10 (r = 0.416, P = .006), and tumor necrosis factor α (r = 0.575, P < .001) and negatively associated with CD4 count (r = -0.234, P = .011). In total, 20.2% (24/119) of patients died within the 24-week follow-up. The 24-week survival rate was 88.0% for patients with APRI <5.6% and 61.1% for those with APRI ≥5.6 (log-rank P < .001). After adjustment for sex, age, body mass index, and CD4 count, as well as serum levels of hemoglobin, APRI ≥5.6 (adjusted hazard ratio [95% CI]; 3.0 [1.2-7.1], P = .015), PCT ≥1.7 ng/mL (3.7 [1.5-9.6], P = .006), and non-amphotericin B deoxycholate treatment (2.8 [1.2-6.6], P = .018) were independent risk factors for 24-week mortality.

Conclusions

For patients with HTM, APRI is associated with severity and is an independent risk factor for 24-week mortality.

Egyptian Society of Liver Cancer Recommendation Guidelines for the Management of Hepatocellular Carcinoma

Globally, hepatocellular carcinoma (HCC) is the fourth most common cause of death from cancer. The prevalence of this pathology, which has been on the rise in the last 30 years, has been predicted to continue increasing. HCC is the most common cause of cancer-related morbidity and mortality in Egypt and is also the most common cancer in males. Chronic liver diseases, including chronic hepatitis C, which is a primary health concern in Egypt, are considered major risk factors for HCC. However, HCC surveillance is recommended for patients with chronic hepatitis B virus (HBV) and liver cirrhosis; those above 40 with HBV but without cirrhosis; individuals with hepatitis D co-infection or a family history of HCC; and Nonalcoholic fatty liver disease (NAFLD) patients exhibiting significant fibrosis or cirrhosis. Several international guidelines aid physicians in the management of HCC. However, the availability and cost of diagnostic modalities and treatment options vary from one country to another. Therefore, the current guidelines aim to standardize the management of HCC in Egypt. The recommendations presented in this report represent the current management strategy at HCC treatment centers in Egypt. Recommendations were developed by an expert panel consisting of hepatologists, oncologists, gastroenterologists, surgeons, pathologists, and radiologists working under the umbrella of the Egyptian Society of Liver Cancer. The recommendations, which are based on the currently available local diagnostic aids and treatments in the country, include recommendations for future prospects.

E-AHPBA-ESSO-ESSR Innsbruck consensus guidelines for preoperative liver function assessment before hepatectomy

BACKGROUND

Posthepatectomy liver failure (PHLF) contributes significantly to morbidity and mortality after liver surgery. Standardized assessment of preoperative liver function is crucial to identify patients at risk. These European consensus guidelines provide guidance for preoperative patient assessment.

METHODS

A modified Delphi approach was used to achieve consensus. The expert panel consisted of hepatobiliary surgeons, radiologists, nuclear medicine specialists, and hepatologists. The guideline process was supervised by a methodologist and reviewed by a patient representative. A systematic literature search was performed in PubMed/MEDLINE, the Cochrane library, and the WHO International Clinical Trials Registry. Evidence assessment and statement development followed Scottish Intercollegiate Guidelines Network methodology.

RESULTS

Based on 271 publications covering 4 key areas, 21 statements (at least 85 per cent agreement) were produced (median level of evidence 2- to 2+). Only a few systematic reviews (2++) and one RCT (1+) were identified. Preoperative liver function assessment should be considered before complex resections, and in patients with suspected or known underlying liver disease, or chemotherapy-associated or drug-induced liver injury. Clinical assessment and blood-based scores reflecting liver function or portal hypertension (for example albumin/bilirubin, platelet count) aid in identifying risk of PHLF. Volumetry of the future liver remnant represents the foundation for assessment, and can be combined with indocyanine green clearance or LiMAx® according to local expertise and availability. Functional MRI and liver scintigraphy are alternatives, combining FLR volume and function in one examination.

CONCLUSION

These guidelines reflect established methods to assess preoperative liver function and PHLF risk, and have uncovered evidence gaps of interest for future research.

Aspartate aminotransferase-to-platelet ratio index can predict the outcome in patients with stable decompensated cirrhosis

Background

Platelet (PLT)-based biomarkers have been studied for the evaluation of liver fibrosis and cirrhosis. There are no data regarding their prognostic significance in decompensated cirrhosis.

Methods

We studied 525 stable decompensated patients from the 2 Greek transplant centers. We measured PLT values, mean PLT volume (MPV), red cell distribution width, γ-globulins, and calculated PLT-based scores: aspartate aminotransferase-to-PLT ratio index (APRI), γ-globulin-to-PLT model, and γ-glutamyl transpeptidase-to-PLT ratio (GPR).

Results

We followed our cohort for 12 (range: 1-84) months. Baseline mean model for end-stage liver disease (MELD) and Child-Turcotte-Pugh (CTP) scores were 15±6 and 8±2, respectively. On univariate analysis, MPV/PLT (hazard ratio [HR] 3.75, 95% confidence interval [CI] 1-14.5; P=0.05), APRI (HR 1.03, 95%CI 1.006-1.06; P=0.016), GPR (HR 1.096, 95%CI 1.016-1.182; P=0.017) were significantly associated with our patients' outcome (survival vs. death or liver transplantation). In a multivariate model without MELD and CTP scores, APRI was the only significant factor associated with the outcome (HR 1.054, 95%CI 1.009-1.101; P=0.018). APRI had good discriminative ability for the outcome (area under the curve 0.723 vs. 0.675 and 0.656 for MELD and CTP scores, respectively). The optimal cutoff point was 1.3 (sensitivity 71%, specificity 65%). There were 200 patients (38%) with APRI scores <1.3 who had better survival than patients with APRI >1.3 (log rank 22.4, P<0.001).

Conclusions

This study found a prognostic role for APRI in stable decompensated cirrhosis, regardless of the underlying etiology of chronic liver disease. This suggests new perspectives for PLT-based noninvasive scores to discriminate patients' outcomes.

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.

Lean body mass predicts postoperative liver failure in patients with hepatocellular carcinoma

BACKGROUND

Post-hepatectomy liver failure (PHLF) is a severe complication of liver surgery in hepatocellular carcinoma (HCC) patients. Reduced lean body mass (LBM) decreases the immune activity and increases adverse clinical outcomes among cancer patients.

OBJECTIVE

We aimed to assess the association between LBM and PHLF in HCC patients.

METHODS

PHLF was defined and graded based on the International Study Group of Liver Surgery (ISGLS) criteria. Patients with Grade B or Grade C were included in PHLF ⩾ Grade B group, while others in PHLF < Grade B group. LBM was measured via preoperative computed tomography images. Binary logistic regression was applied for investigating the association between LBM and PHLF. The receiver operating characteristic curve was used to identify potential cut-off values and assess the predictive ability of the measured variables.

RESULTS

The PHLF ⩾ Grade B group had significantly lower LBM levels (means ± standard deviation: 57.0 ± 14.1) than PHLF < Grade B group (67.2 ± 15.7) (p< 0.001). After controlling other variables, LBM was an independent protective factor for PHLF ⩾ Grade B (Odds Ratio: 0.406, 95% confidence interval: 0.172-0.957, p= 0.039). The prevalence of PHLF ⩾ Grade B in each quartile of LBM was 29.4% (15/51), 25.5% (13/51), 19.2% (10/52) and 4.0% (2/50), respectively (ptrend< 0.001).

CONCLUSIONS

LBM might be a protective factor for PHLF in HCC patients. Our findings might help to develop a novel strategy to reduce the occurrence of hepatic dysfunction following major liver resection. Multicentric prospective studies and further molecular biologic investigation are needed.

Differential Response to Sorafenib Administration for Advanced Hepatocellular Carcinoma

Sorafenib has been used to treat advanced hepatocellular carcinoma (aHCC). However, there is no evidence for a response of different target lesions to sorafenib administration. Therefore, we aimed to evaluate the effect of sorafenib on various aHCC target lesions. The outcomes of sorafenib treatment on aHCC, i.e., treatment response for all Child A status patients receiving the drug, were analyzed. Of 377 aHCC patients, 73 (19.3%) had complete/partial response to sorafenib, while 134 (35.4%) and 171 (45.2) had a stable or progressive disease, respectively, in the first six months. Of the evaluated metastatic lesions, 149 (39.4%), 48 (12.7%), 123 (32.5%), 98 (25.9%), 83 (22.0%), and 45 (11.9%) were present in liver, bone, lung, portal/hepatic vein thrombus, lymph nodes, and peritoneum, respectively. The overall survival and duration of treatment were 16.9 ± 18.3 and 8.1 ± 10.5 months (with median times of 11.4 and 4.6, respectively). Our analysis showed poor outcomes in macroscopic venous thrombus and bone, higher AFP, and multiple target lesions. ALBI grade A had a better outcome. Sorafenib administration showed good treatment outcomes in selected situations. PD patients with thrombus or multiple metastases should be considered for sorafenib second-line treatment. The ALBI liver function test should be selected as a treatment criterion.

A Novel Nomogram for Prediction of Post-Hepatectomy Liver Failure in Patients with Resectable Hepatocellular Carcinoma: A Multicenter Study

Objective

To develop a nomogram for predicting post-hepatectomy liver failure (PHLF) in patients with resectable hepatocellular carcinoma (HCC) based on portal hypertension, the extent of resection, ALT, total bilirubin, and platelet count.

Methods

Patients with HCC hospitalized from January 2015 to December 2020 were included in a retrospective cohort study. 595 HCC patients were divided into a training cohort (n=416) and a validation cohort (n=179) by random sampling. Univariate and multivariable analyses were performed to identify the independent variables to predict PHLF. The nomogram models for predicting the overall risk of PHLF and the risk of PHLF B+C were constructed based on the independent variables. Comparisons were made by using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) with traditional models, such as FIB-4 score, APRI score, CP class (Child-Pugh), MELD score (model of end-stage liver disease), and ALBI score (albumin-bilirubin) to analyze the accuracy and superiority of the nomogram.

Results

We discovered that portal hypertension (yes vs no) (OR=1.677,95% CI:1.817–4.083, p=0.002), the extent of liver resection (OR=1.872,95% CI:3.937–47.096, p=0.001), ALT (OR=1.003,95% CI:1.003–1.016, P=0.003), total bilirubin (OR=1.036,95% CI:1.031–1.184, p=0.005), and platelet count (OR= 1.004, 95% CI:0.982–0.998, p=0.020) were independent risk factors for PHLF using multifactorial analysis. The nomogram models were constructed using well-fit calibration curves for each of these five covariates. When compared to the FIB4, ALBI, MELD, and CP score, our nomogram models have a better predictive value for predicting the overall risk of PHLF or the risk of PHLF B+C. The validation cohort’s results were consistent. DCA also confirmed the conclusion.

Conclusion

Our models, in the form of static nomogram or web application, were developed to predict PHLF overall risk and PHLF B+C risk in patients with HCC, with a high prediction sensitivity and specificity performance than other commonly used scoring systems.

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.

Risk factors for post-hepatectomy liver failure in 80 patients

BACKGROUND

Post-hepatectomy liver failure (PHLF) is a serious complication and a leading cause of death after hepatectomy, an accurate prediction of PHLF is important for improvement of prognosis after hepatectomy.

AIM

To retrospectively analyze the risk factors for postoperative liver failure in patients undergoing hepatectomy for liver tumors.

METHODS

The clinical data of 80 patients undergoing hepatectomy in our hospital from June 2018 to January 2020 were collected. With laboratory examination as well as pre- and post-operative abdominal three-dimensional reconstructive computed tomography, the demographic data, surgical data, biochemical indicators, coagulation index, routine blood tests, spleen and liver volumes, relative remnant liver volume, and other related indicators were obtained and compared between patients with PHLF and those without PHLF.

RESULTS

PHLF occurred in 19 (23.75%) patients. Univariate logistic regression analysis showed that gender, history of hepatitis/cirrhosis, and preoperative bilirubin, albumin, coagulation function, albumin-bilirubin ratio, aspartate amino-transferase-to-platelet ratio index (APRI), Model for End-Stage Liver Disease score, spleen volume (SV), spleen volume/liver volume ratio (SV/LV), and relative remnant liver volume were statistically associated with the occurrence of PHLF (all P < 0.05). Multivariate regression analysis showed that preoperative total bilirubin, platelets (PLT), APRI, and SV/LV were independent risk factors for PHLF (all P < 0.05). The area under the curve and cut-off values were 0.787 and 18.6 mmol/L for total bilirubin, 0.893 and 146 × 10¹²/L for PLT, 0.907 and 0.416 for APRI, and 0.752 and 20.84% for SV/LV, respectively.

CONCLUSION

For patients undergoing liver resection, preoperative total bilirubin, PLT, APRI, and SV/LV are independent risk factors for PHLF. These findings may provide guidance to safely perform liver surgery in such patients.

A Machine Learning-Based Model to Predict Survival After Transarterial Chemoembolization for BCLC Stage B Hepatocellular Carcinoma

Objective

We sought to develop and validate a novel prognostic model for predicting survival of patients with Barcelona Clinic Liver Cancer Stages (BCLC) stage B hepatocellular carcinoma (HCC) using a machine learning approach based on random survival forests (RSF).

Methods

We retrospectively analyzed overall survival rates of patients with BCLC stage B HCC using a training (n = 602), internal validation (n = 301), and external validation (n = 343) groups. We extracted twenty-one clinical and biochemical parameters with established strategies for preprocessing, then adopted the RSF classifier for variable selection and model development. We evaluated model performance using the concordance index (c-index) and area under the receiver operator characteristic curves (AUROC).

Results

RSF revealed that five parameters, namely size of the tumor, BCLC-B sub-classification, AFP level, ALB level, and number of lesions, were strong predictors of survival. These were thereafter used for model development. The established model had a c-index of 0.69, whereas AUROC for predicting survival outcomes of the first three years reached 0.72, 0.71, and 0.73, respectively. Additionally, the model had better performance relative to other eight Cox proportional-hazards models, and excellent performance in the subgroup of BCLC-B sub-classification B I and B II stages.

Conclusion

The RSF-based model, established herein, can effectively predict survival of patients with BCLC stage B HCC, with better performance than previous Cox proportional hazards models.

Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers

BACKGROUND

Post-hepatectomy liver failure (PHLF) increases morbidity and mortality after liver resection for patients with advanced liver fibrosis and cirrhosis. Preoperative liver stiffness using two-dimensional shear wave elastography (2D-SWE) is widely used to evaluate the degree of fibrosis. However, the 2D-SWE results were not accurate. A durometer measures hardness by quantifying the ability of a material to locally resist the intrusion of hard objects into its surface. However, the durometer score can only be obtained during surgery.

AIM

To measure correlations among 2D-SWE, palpation by surgeons, and durometer-measured objective liver hardness and to construct a liver hardness regression model.

METHODS

We enrolled 74 hepatectomy patients with liver hardness in a derivation cohort. Tactile-based liver hardness scores (0-100) were determined through palpation of the liver tissue by surgeons. Additionally, liver hardness was measured using a durometer. Correlation coefficients for durometer-measured hardness and preoperative parameters were calculated. Multiple linear regression models were constructed to select the best predictive durometer scale. Receiver operating characteristic (ROC) curves and univariate and multivariate analyses were used to calculate the best model’s prediction of PHLF and risk factors for PHLF, respectively. A separate validation cohort (n = 162) was used to evaluate the model.

RESULTS

The stiffness measured using 2D-SWE and palpation scale had good linear correlation with durometer-measured hardness (Pearson rank correlation coefficient 0.704 and 0.729, respectively, P < 0.001). The best model for the durometer scale (hardness scale model) was based on stiffness, hepatitis B virus surface antigen, and albumin level and had an R² value of 0.580. The area under the ROC for the durometer and hardness scale for PHLF prediction were 0.807 (P = 0.002) and 0.785 (P = 0.005), respectively. The optimal cutoff value of the durometer and hardness scale was 27.38 (sensitivity = 0.900, specificity = 0.660) and 27.87 (sensitivity = 0.700, specificity = 0.787), respectively. Patients with a hardness scale score of > 27.87 were at a significantly higher risk of PHLF with hazard ratios of 7.835 (P = 0.015). The model’s PHLF predictive ability was confirmed in the validation cohort.

CONCLUSION

Liver stiffness assessed by 2D-SWE and palpation correlated well with durometer hardness values. The multiple linear regression model predicted durometer hardness values and PHLF.

Combined APRI/ALBI score to predict mortality after hepatic resection

Background

Aspartate aminotransferase/platelet ratio index (APRI) and albumin–bilirubin grade (ALBI) are validated prognostic indices implicated as predictors of postoperative liver dysfunction after hepatic resection. The aim of this study was to evaluate the relevance of the combined APRI/ALBI score for postoperative clinically meaningful outcomes.

Methods

Patients undergoing hepatectomy were included from the American College of Surgeons National Surgical Quality Improvement Program database. The association between APRI/ALBI score and postoperative grade C liver dysfunction, liver dysfunction-associated and overall 30-day mortality was assessed.

Results

A total of 12 055 patients undergoing hepatic resection from 2014 to 2017 with preoperative blood values and detailed 30-day postoperative outcomes were included (exploration cohort: January 2014 to December 2016; validation cohort: 2017). In the exploration cohort (8538 patients), the combination of both scores (APRI/ALBI) was significantly associated with postoperative grade C liver dysfunction, 30-day mortality, and liver dysfunction-associated 30-day mortality, and was superior to either score alone. The association with postoperative 30-day mortality was confirmed in multivariable analysis. A predictive model was generated using the exploration cohort. The predicted incidence of events closely followed the observed incidence in the validation cohort (3517 patients). Subgroup analyses of tumour types were used to generate disease-specific risk models to assess risk in different clinical scenarios. These findings informed development of a smartphone application (https://tellaprialbi.37binary.com).

Conclusion

The predictive potential of the combined APRI/ALBI score for clinically relevant outcomes such as mortality was demonstrated. An evidence-based smartphone application will allow clinical translation and facilitation of risk assessment before hepatic resection using routine laboratory parameters.

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.

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.

Albumin-bilirubin score is associated with in-hospital mortality in critically ill patients with acute pancreatitis

OBJECTIVE

Acute pancreatitis is one of the most common causes of inpatient care among gastrointestinal conditions. Few easy and commodious biomarkers are used in clinical practice to predict the prognosis of patients with acute pancreatitis. This study was aimed at examining the association of albumin-bilirubin (ALBI) score and in-hospital mortality in critically ill patients with acute pancreatitis.

METHODS

We enrolled all critically ill patients with acute pancreatitis retrospectively in Monitoring in Intensive Care Database III database. Clinical data and demographic information were collected for each patient in our study. Multivariate logistic regression models and smooth curve fitting were used to determine whether ALBI score could be an independent indicator for the prognosis of patients with acute pancreatitis. Predictive performance of ALBI was assessed by receiver operating characteristic analysis.

RESULTS

A total of 284 patients with acute pancreatitis met the inclusion criteria, and 35 patients died in hospital. The ALBI in nonsurvived group was much higher than survived group (-1.0 vs. -1.5; P < 0.001). The association of ALBI and in-hospital mortality was almost linear by smooth curve fitting (P < 0.001) and positive associations were observed between ALBI and RDW and WBC in patients with acute pancreatitis. Multivariate logistic regression indicated ALBI could be independent risk factors to predict the prognosis of patients with acute pancreatitis (odds ratios = 1.60; P = 0.02). The area under curve of in-hospital mortality prediction (0.86; P < 0.001) were superior to Sequential Organ Failure Assessment (SOFA) score (0.72; P < 0.001), Simplified Acute Physiology Score II (SAPS-II) (0.71; P < 0.001), Acute Physiology and Chronic Health Evaluation II (APACHE-II, 0.83; P < 0.001), Ranson score (0.75; P < 0.001) and Glasgow score (0.72; P < 0.001).

CONCLUSION

ALBI could be a useful marker of in-hospital mortality for patients with acute pancreatitis, which was better than SOFA, SAPS-II, APACHE-II, Ranson score and Glasgow score in our study.

Review of Serum Biomarkers and Models Derived from Them in HBV-Related Liver Diseases

A series of predictive scoring systems is available for stratifying the severity of conditions and assessing the prognosis in patients with HBV-related liver diseases. We show nine of the most popular serum biomarkers and their models (i.e., serum cystatin C, homocysteine, C-reactive protein, C-reactive protein to albumin ratio, aspartate aminotransferase to platelet ratio index, fibrosis index based on four factors, gamma-glutamyl transpeptidase to platelet ratio, albumin-bilirubin score, and gamma-glutamyl transpeptidase to albumin ratio) that have gained great interest from clinicians. Compared with traditional scoring systems, these serum biomarkers and their models are easily acquired, simple, and relatively inexpensive. In the present review, we summarize the latest studies focused on these serum biomarkers and their models as diagnostic and prognostic indexes in HBV-related liver diseases.