Validation of the aMAP score to predict hepatocellular carcinoma development in a cohort of alcohol‐related cirrhosis patients

Background and AimsThe aMAP score was recently devised to predict hepatocellular carcinoma (HCC) development. However, its performance was not tested in alcohol-related cirrhosis (ALC). We aimed to validate the aMAP score in a cohort of ALC patients.MethodStudy participants with ALC from a prior genome-wide association study were included. All participants had a history of high alcohol consumption. Cirrhosis was defined clinically, using fibroscan and/or histology. Patients were followed until the last liver imaging, HCC, liver transplantation (LT) or death with the latter two adjusted as competing risks.ResultsA total of 269 ALC patients were included: male (72.5%), Caucasian (98.9%), median age 56 years, and median Child-Pugh score 7. The median aMAP score was 60: 12.3% low-risk, 35.3% medium-risk and 52.4% high-risk. After a median follow-up of 41 months, 14 patients developed HCC, 27 received LT and 104 died. The aMAP score predicted HCC development (hazard ratio 1.12 per point increase, P < .001) with good separation of cumulative incidence function between risk groups. The area under the time-dependent receiver operating characteristics curve for predicting HCC development was 0.83 at 1 year and 0.82 at 5 years which was similar to ADRESS-HCC and Veterans Affairs Healthcare System scores respectively.ConclusionsWe validated the excellent performance of the aMAP score in ALC and affirm its applicability across wider aetiologies

Prediction of survival among patients receiving transarterial chemoembolization for hepatocellular carcinoma: A response-based approach

Background and aims: The heterogeneity of intermediate-stage hepatocellular carcinoma (HCC) and the widespread use of transarterial chemoembolization (TACE) outside recommended guidelines have encouraged the development of scoring systems that predict patient survival. The aim of this study was to build and validate statistical models that offer individualized patient survival prediction using response to TACE as a variable. Approach and results: Clinically relevant baseline parameters were collected for 4,621 patients with HCC treated with TACE at 19 centers in 11 countries. In some of the centers, radiological responses (as assessed by modified Response Evaluation Criteria in Solid Tumors [mRECIST]) were also accrued. The data set was divided into a training set, an internal validation set, and two external validation sets. A pre-TACE model ("Pre-TACE-Predict") and a post-TACE model ("Post-TACE-Predict") that included response were built. The performance of the models in predicting overall survival (OS) was compared with existing ones. The median OS was 19.9 months. The factors influencing survival were tumor number and size, alpha-fetoprotein, albumin, bilirubin, vascular invasion, cause, and response as assessed by mRECIST. The proposed models showed superior predictive accuracy compared with existing models (the hepatoma arterial embolization prognostic score and its various modifications) and allowed for patient stratification into four distinct risk categories whose median OS ranged from 7 months to more than 4 years. Conclusions: A TACE-specific and extensively validated model based on routinely available clinical features and response after first TACE permitted patient-level prognosticatio

Prediction of Survival Among Patients Receiving Transarterial Chemoembolization for Hepatocellular Carcinoma: A Response-Based Approach

Background and Aims: The heterogeneity of intermediate-stage hepatocellular carcinoma (HCC) and the widespread use of transarterial chemoembolization (TACE) outside recommended guidelines have encouraged the development of scoring systems that predict patient survival. The aim of this study was to build and validate statistical models that offer individualized patient survival prediction using response to TACE as a variable. Approach and Results: Clinically relevant baseline parameters were collected for 4,621 patients with HCC treated with TACE at 19 centers in 11 countries. In some of the centers, radiological response (as assessed by modified Response Evaluation Criteria in Solid Tumors [mRECIST]) was also accrued. The data set was divided into a training set, an internal validation set, and two external validation sets. A new pre-TACE model ("Pre-TACE-Predict") and a post-TACE model ("Post-TACE-Predict") that included response were built. The performance of the models in predicting overall survival (OS) was compared with existing ones. Median OS was 19.9 months. The factors influencing survival were tumor number and size, alpha-fetoprotein, albumin, bilirubin, vascular invasion, etiology, and response as assessed by mRECIST. The proposed models showed superior predictive accuracy compared to existing models (the HAP score and its various modifications) and allowed for patient stratification into four distinct risk categories whose median OS ranged from 7 months to more than 4 years. Conclusion: A TACE-specific and extensively validated model based on routinely available clinical features and response after first TACE permitted patient-level prognostication

Prediction of survival among patients receiving transarterial chemoembolization for hepatocellular carcinoma: A response-based approach

Background and aims: The heterogeneity of intermediate-stage hepatocellular carcinoma (HCC) and the widespread use of transarterial chemoembolization (TACE) outside recommended guidelines have encouraged the development of scoring systems that predict patient survival. The aim of this study was to build and validate statistical models that offer individualized patient survival prediction using response to TACE as a variable. Approach and results: Clinically relevant baseline parameters were collected for 4,621 patients with HCC treated with TACE at 19 centers in 11 countries. In some of the centers, radiological responses (as assessed by modified Response Evaluation Criteria in Solid Tumors [mRECIST]) were also accrued. The data set was divided into a training set, an internal validation set, and two external validation sets. A pre-TACE model ("Pre-TACE-Predict") and a post-TACE model ("Post-TACE-Predict") that included response were built. The performance of the models in predicting overall survival (OS) was compared with existing ones. The median OS was 19.9 months. The factors influencing survival were tumor number and size, alpha-fetoprotein, albumin, bilirubin, vascular invasion, cause, and response as assessed by mRECIST. The proposed models showed superior predictive accuracy compared with existing models (the hepatoma arterial embolization prognostic score and its various modifications) and allowed for patient stratification into four distinct risk categories whose median OS ranged from 7 months to more than 4 years. Conclusions: A TACE-specific and extensively validated model based on routinely available clinical features and response after first TACE permitted patient-level prognosticatio