Differential Characteristics and Survival Outcomes of Patients With Cirrhosis According to Underlying Liver Aetiology
- PMID: 40013475
- DOI: 10.1111/apt.70059
Differential Characteristics and Survival Outcomes of Patients With Cirrhosis According to Underlying Liver Aetiology
Abstract
Background and aims: Updated data on the survival of patients with cirrhosis are limited, especially for subgroups by specific liver disease aetiology. To inform practice, future modelling studies, and public health planning, our study aimed to provide updated and granular data on survival outcomes of patients with cirrhosis stratified by liver disease aetiology. We also assessed their changes over time.
Methods: We analysed 8726 consecutive adult patients with cirrhosis who presented at Stanford university medical center during 1/2005-1/2022.
Results: 8726 Patients had the following etiologies: hepatitis C virus (HCV) (28.1%), hepatitis B virus (HBV) (4.8%), alcohol-associated (ALD, 33.3%), metabolic-associated steatotic liver disease (MASLD) (9.5%), autoimmune (9.6%), cryptogenic (8.2%) and other etiologies (6.5%). Patients with cryptogenic cirrhosis had the lowest overall 5-, 10-, and 15-year cumulative survival (57.5%, 34.3% and 21.4%), as well as for liver and nonliver-related death, followed by ALD, MASLD, HCV, and autoimmune, while HBV patients had the best survival (86.0%, 70.1% and 65.1%), respectively. On multivariable Cox regression, cryptogenic cirrhosis (vs. HBV) was associated with the highest risk of all-cause death (aHR: 2.24, 95% CI 1.67-3.00), followed by MASLD and ALD (all p < 0.001). Post-2010 time was associated with a 33% lower risk of all-cause death (p = 0.0011); While in the post-2010 period, MASLD (vs. HBV) was associated with the highest risk of all-cause death (aHR: 1.92, 95% CI 1.32-2.80, p < 0.001) followed by cryptogenic and ALD.
Conclusions: Survival outcomes in patients with cirrhosis varied by aetiology and have changed over time, which should be taken into account for future practice guidelines and modelling studies.
Keywords: aetiology; cirrhosis; epidemiology; natural history; survival.
© 2025 John Wiley & Sons Ltd.
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