Noninvasive serum models to predict significant liver related events in chronic hepatitis C

Accurate prediction of HCC risk after SVR in patients with hepatitis C cirrhosis based on longitudinal data

BACKGROUND

Most existing predictive models of hepatocellular carcinoma (HCC) risk after sustained virologic response (SVR) are built on data collected at baseline and therefore have limited accuracy. The current study aimed to construct an accurate predictive model incorporating longitudinal data using a novel modeling strategy. The predictive performance of the longitudinal model was also compared with a baseline model.

METHODS

A total of 400 patients with HCV-related cirrhosis who achieved SVR with direct-acting antivirals (DAA) were enrolled in the study. Patients were randomly divided into a training set (70%) and a validation set (30%). Informative features were extracted from the longitudinal variables and then put into the random survival forest (RSF) to develop the longitudinal model. A baseline model including the same variables was built for comparison.

RESULTS

During a median follow-up time of approximately 5 years, 25 patients (8.9%) in the training set and 11 patients (9.2%) in the validation set developed HCC. The areas under the receiver-operating characteristics curves (AUROC) for the longitudinal model were 0.9507 (0.8838-0.9997), 0.8767 (0.6972,0.9918), and 0.8307 (0.6941,0.9993) for 1-, 2- and 3-year risk prediction, respectively. The brier scores of the longitudinal model were also relatively low for the 1-, 2- and 3-year risk prediction (0.0283, 0.0561, and 0.0501, respectively). In contrast, the baseline model only achieved mediocre AUROCs of around 0.6 (0.6113, 0.6213, and 0.6480, respectively).

CONCLUSIONS

Our longitudinal model yielded accurate predictions of HCC risk in patients with HCV-relate cirrhosis, outperforming the baseline model. Our model can provide patients with valuable prognosis information and guide the intensity of surveillance in clinical practice.

Repeated Measurement of FIB-4 to Predict Long-Term Risk of HCC Development Up to 10 Years After SVR

Purpose

It is unclear whether and how the long-term risk of hepatocellular carcinoma (HCC) will change in hepatitis C virus (HCV) infected patients who have reached sustained virologic response (SVR) with direct-acting antivirals (DAA). In this study, we assessed the long-term risk of HCC up to 10 years after SVR using fibrosis 4 score (FIB-4) and its dynamic changes.

Patients and Methods

A total of 701 DAA-treated patients who achieved SVR between January 2012 to October 2020 were enrolled in the study. The FIB-4 score of each patient was measured at the date of SVR and each follow-up visit annually. Patients were followed until December 31, 2021, with the longest follow-up time being 9.82 years.

Results

Following SVR, 27 cases of HCC were observed. The annual incidence rate of HCC remained stable with no obvious downward trend. Patients with a FIB-4 >3.25 at baseline or anytime during follow-up were at a higher risk of developing HCC than those whose FIB-4 remained below 3.25. Patients with cirrhosis and patients with no cirrhosis but a FIB-4 >3.25 were at higher risk of developing HCC than patients with no cirrhosis and a FIB-4 ≦3.25.

Conclusion

FIB-4 >3.25 measured at SVR or any time post-SVR was associated with HCC risks. The repeated measurement of FIB-4 revealed a better predictive ability of HCC risks than the simple measurement of FIB-4 at baseline. The additional stratification of patients by combining FIB-4 and cirrhosis leads to more accurately identifying high-risk patients. Surveillance of HCC is recommended for virologically cured patients with a FIB-4 >3.25 at SVR or anytime afterward and patients diagnosed with cirrhosis.

Non-invasive tests for predicting liver outcomes in chronic hepatitis C patients: A systematic review and meta-analysis

BACKGROUND

Liver fibrosis leads to liver-related events in patients with chronic hepatitis C (CHC) infection. Although non-invasive tests (NITs) are critical to early detection of the development of liver fibrosis, the prognostic role of NITs remains unclear due to the limited types of NITs and liver outcomes explored in previous studies.

AIM

To determine the prognostic value of NITs for risk stratification in CHC patients.

METHODS

The protocol was registered in PROSPERO (International Prospective Register of Systematic Reviews; no. CRD42019128176). The systematic review was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Search was performed using MEDLINE and EMBASE databases under a timeframe from the inception of the databases through February 25, 2020. We restricted our search to CHC cohort studies reporting an association between liver fibrosis assessed by NITs and the development of hepatocellular carcinoma, decompensation, or mortality. Pooled hazard ratios (HR) and area under the receiver operating characteristic (AUROC) for each NIT were estimated using a random effects model. Subgroup analyses were performed for NITs assessed at pre-treatment or post-treatment with sustained virologic response (SVR), treatment with either pegylated interferon and ribavirin or direct acting antiviral, Eastern or Western countries, and different cutoff points.

RESULTS

The present meta-analysis included 29 cohort studies, enrolling 69339 CHC patients. Fibrosis-4 (FIB-4) index, aspartate aminotransferase to platelet ratio (APRI) score, and liver stiffness measurement (LSM) were found to have hepatocellular carcinoma predictive potential with pooled adjusted HRs of 2.48 [95% confidence interval (CI): 1.91-3.23, I² = 96%], 4.24 (95%CI: 2.15-8.38, I² = 20%) and 7.90 (95%CI: 3.98-15.68, I² = 52%) and AUROCs of 0.81 (95%CI: 0.73-0.89, I² = 77%), 0.81 (95%CI: 0.75-0.87, I² = 68%), and 0.79 (95%CI: 0.63-0.96, I² = 90%), respectively. Pooled adjusted HR with a pre-treatment FIB-4 cutoff of 3.25 was 3.22 (95%CI: 2.32-4.47, I² = 80%). Pooled adjusted HRs for post-treatment with SVR FIB-4, APRI, and LSM were 3.01 (95%CI: 0.32-28.61, I² = 89%), 9.88 (95%CI: 2.21-44.17, I² = 24%), and 6.33 (95%CI: 2.57-15.59, I² = 17%), respectively. Pooled adjusted HRs for LSM in patients with SVR following direct acting antiviral therapy was 5.55 (95%CI: 1.47-21.02, I² = 36%). Pooled AUROCs for post-treatment with SVR FIB-4 and LSM were 0.75 (95%CI: 0.55-0.95, I² = 88%) and 0.84 (95%CI: 0.66-1.03, I² = 88%), respectively. Additionally, FIB-4 and LSM were associated with overall mortality, with pooled adjusted HRs of 2.07 (95%CI: 1.49-2.88, I² = 27%) and 4.04 (95%CI: 2.40-6.80, I² = 63%), respectively.

CONCLUSION

FIB-4, APRI, and LSM showed potential for risk stratification in CHC patients. Cutoff levels need further validation.

Persistence of hepatocellular carcinoma risk in hepatitis C patients with a response to IFN and cirrhosis regression

BACKGROUND AND AIM

In patients with HCV-related cirrhosis, a sustained virological response may lead to cirrhosis regression. Whether histological changes translate into prevention of long-term complications, particularly hepatocellular carcinoma is still unknown. This was investigated in a cohort of histological cirrhotics who had been prospectively followed-up for 10 years after the achievement of a sustained virological response to IFN.

METHODS

In all, 38 sustained virological response cirrhotics who underwent a liver biopsy 5 years post-SVR were prospectively followed to assess the impact of cirrhosis regression on clinical endpoints.

RESULTS

During a follow-up of 86 (30-96) months from liver biopsy, no patients developed clinical decompensation, whilst 5 (13%) developed hepatocellular carcinoma after 79 (7-88) months. The 8-year cumulative probability of hepatocellular carcinoma was 17%, without differences between patients with or without cirrhosis regression (19% [95% CI 6%-50%] vs 14% [95% CI 4%-44%], P = .88). Patients who developed or did not an hepatocellular carcinoma had similar rates of residual cirrhosis (P = 1.0), collagen content (P = .48), METAVIR activity (P = .34), portal inflammation (P = .06) and steatosis (P = .17). At baseline, patients who developed an hepatocellular carcinoma had higher γGT (HR 1.03, 95% CI 1.00-1.06; P = .014) and glucose (HR 1.02, 95% CI 1.00-1.02; P = .012) values; moreover, they had increased Forns Score (HR 12.8, 95% CI 1.14-143.9; P = .039), Lok Index (HR 6.24, 95% CI 1.03-37.6; P = .046) and PLF (HR 19.3, 95% CI 1.72-217.6; P = .016) values. One regressor died of lung cancer. The 8-year cumulative survival probability was 97%, independently on cirrhosis regression (96% vs 100%, P = 1.0) or hepatocellular carcinoma (100% vs 97%, P = 1.0).

CONCLUSIONS

Post-SVR cirrhosis regression does not prevent hepatocellular carcinoma occurrence.