Abstract

Simple SummaryIn the present study we investigated the ability of different non-invasive scoring systems (i.e., Forns index, APRI, FIB-4, ALBI, and aMAP) to predict hepatocellular carcinoma development in a large cohort of patients with HCV-related cirrhosis treated with direct-acting antivirals followed for a median of 44.9 months. ALBI score showed the best performance for the prediction of hepatocellular carcinoma; this score may be a useful inexpensive tool for risk stratification and the personalization of hepatocellular carcinoma surveillance strategy for patients with cirrhosis and previous history of HCV infection treated with DAA.Patients with hepatitis C virus (HCV)-related cirrhosis treated with direct-acting antivirals (DAA) are still at risk of developing hepatocellular carcinoma (HCC). We investigated the accuracy of non-invasive scoring systems (NSS) for the prediction of de novo HCC development in patients treated with DAA on long-term follow-up (FU). We analyzed data from 575 consecutive patients with cirrhosis and no history of HCC who achieved a sustained virologic response (SVR) to DAA therapy. NSS (i.e., Forns index, APRI, FIB-4, ALBI, and aMAP) were calculated at 3 months after the end of therapy. Performance for de novo HCC prediction was evaluated in terms of area under the curve (AUC) and Harrell’s C-index. During a median FU of 44.9 (27.8–58.6) months, 57 (9.9%) patients developed de novo HCC. All five NSS were associated with the risk of de novo HCC. At multivariate analysis, only the ALBI score resulted in being significantly and independently associated with de novo HCC development (adjusted hazard ratio = 4.91, 95% CI 2.91–8.28, p < 0.001). ALBI showed the highest diagnostic accuracy for the detection of de novo HCC at 1-, 3-, and 5-years of FU, with AUC values of 0.81 (95% CI 0.78–0.85), 0.71 (95% CI 0.66–0.75), and 0.68 (95% CI 0.59–0.76), respectively. Consistently, the best predictive performance assessed by Harrell’s C-statistic was observed for ALBI (C-index = 0.70, 95% CI 0.62–0.77). ALBI score may represent a valuable and inexpensive tool for risk stratification and the personalization of an HCC surveillance strategy for patients with cirrhosis and previous history of HCV infection treated with DAA.

Highlights

  • Hepatocellular carcinoma (HCC) accounts for more than 90% of primary liver cancers and represents a major health problem worldwide, with 841,000 new cases and782,000 deaths per year [1,2]

  • After excluding patients without cirrhosis (n = 1790), patients with a previous history of hepatocellular carcinoma (HCC) (n = 60), patients who did not achieve sustained virologic response (SVR) to direct-acting antiviral (DAA) therapy (n = 31), and those at FU < 9 months from end of treatment (EOT) (n = 232), a total of 575 consecutive patients were included in the study

  • It should be acknowledged that other studies reported high rates of multinodular HCC or tumors with aggressive patterns occurring in patients treated with DAA as compared to those treated with IFN-based therapy or those who were untreated [27]; it is possible that the perturbation of the immune system induced by hepatitis C virus (HCV) eradication following DAA may lead to a rapid tumor evolution from microscopic, undetectable foci of HCC in some cases

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Summary

Introduction

Hepatocellular carcinoma (HCC) accounts for more than 90% of primary liver cancers and represents a major health problem worldwide, with 841,000 new cases and782,000 deaths per year [1,2]. Irrespective of the underlying liver disease etiology, cirrhosis is the principal risk factor for HCC development [4]; even following hepatitis C virus (HCV) eradication by direct-acting antiviral (DAA) treatment [5], patients with cirrhosis post-sustained virologic response (SVR) are still at risk of HCC development [6,7]. Promising results have been obtained from non-invasive scoring systems (NSS) combining demographic, clinical, and biochemical variables normally collected during standard clinical practice [11,12]. Due to their cost-effectiveness, this approach could be suitable for the surveillance of patients at risk of HCC development.

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