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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
Long-Term Mortality Following Hepatitis C Cure in a Real-World Multinational Cohort
Fanpu Ji1, Sally Tran2, Hidenori Toyoda3
1Department of Hepatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background & Aims:
Direct-acting antiviral agents (DAA)-mediated HCV cure correlates with better outcomes, but there are insufficient data on detailed mortality-related risk factors after cure. This study sought to clarify mortality and associated risk factors post-HCV cure.
Methods:
The study included HCV patients with sustained virological response following DAA (DAA-SVR) from 39 REAL-C centres in North America, Europe and Asia-Pacific. The primary outcome was all-cause mortality in DAA-SVR patients. Mortality rate per 1000 patient-years (PY) was calculated as the number of deaths divided by total PY multiplied by 1000.
Results:
A total of 10 034 DAA-SVR patients (stratified by cirrhosis status: 5611 non-cirrhosis, 4153 compensated, 270 decompensated) were included. With a median follow-up of 4.76 PY, 4.9% (491) died. The all-cause mortality rates were 6.2, 13.1, 60.0 and 10.4 per 1000 PY for patients without cirrhosis, compensated and decompensated cirrhosis, and overall patients, respectively. The 5-year cumulative survival was 95.1% (94.5%-95.6%) overall, with the lowest rate of 73.9% (67.0%-79.5%) in decompensated cirrhosis. Non-liver-related death was the main cause in non-cirrhosis (non-liver-related vs. liver: 5.2 vs. 0.8 per 1000 PY)/compensated cirrhosis (8.2 vs. 4.8 per 1000 PY), while liver-related death was dominant in decompensated cirrhosis (24.7 vs. 33.8 per 1000 PY). Risk factors for higher mortality included age > 65 (3.2-fold), male (1.5-fold), cirrhosis (decompensated 7.6-fold) and baseline DM (1.5-fold).
Conclusion:
This study showed significant age, sex, fibrosis stage and DM differences in mortality and causes among DAA-SVR patients. It provided granular subgroup data for precision medicine to support individualised care, future modelling studies and public health planning.
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