Background and aims: Cirrhosis is a major public health issue worldwide with significant morbidity and mortality. We aimed to explore the time series associations between varying levels of risk factors and cirrhosis prevalence and predict the cirrhosis prevalence under alternative scenarios to consolidate evidence for further intervention plans.
Methods: We collected data of cirrhosis and its risk factors from 1990 to 2019 across 178 countries and used a generalized linear mixed model to explore the time series associations between cirrhosis and risk factors. We simulated scenarios with varying levels of risk factors and investigated benefits gained from the control of risk factors compared with the status quo.
Results: The global cirrhosis prevalence varied geographically, with the highest observed in East and Southeast Asia, mainly due to high hepatitis prevalence. Our study revealed that each 1% increase in prevalence of hepatitis B and C, cirrhosis prevalence would correspondingly increase 0.028% and 0.288%. There would be approximately 392.15 million fewer cirrhosis patients if the goals of a 65% reduction in prevalence of hepatitis and a 10% reduction in alcohol consumption were achieved.
Conclusions: Given that cirrhosis prevalence has different risk factors depending on geography, it is important to identify an appropriate set of interventions for cirrhosis that are adapted to the epidemiological situation in a specific country. Interventions targeting hepatitis may have a significant impact on global cirrhosis prevalence, therefore, the adoption of specific interventions for hepatitis in high-burden regions and high-risk groups is warranted to lower the global burden of cirrhosis.
Keywords: hepatitis; intervention; liver disease; prediction; time series.
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