Skip to main content
Top
Published in: Hepatology International 1/2024

08-09-2023 | Liver Cirrhosis | Original Article

How does alcohol use impact morbidity and mortality of liver cirrhosis? A systematic review and dose–response meta-analysis

Authors: Laura Llamosas-Falcón, Charlotte Probst, Charlotte Buckley, Huan Jiang, Aurélie M. Lasserre, Klajdi Puka, Alexander Tran, Yachen Zhu, Jürgen Rehm

Published in: Hepatology International | Issue 1/2024

Login to get access

Abstract

Background

Alcohol consumption is the most important risk factor responsible for the disease burden of liver cirrhosis (LC). Estimates of risk relationships available usually neither distinguish between different causes such as alcohol-related LC or hepatitis-related LC, nor differentiate between morbidity and mortality as outcome. We aimed to address this research gap and identify dose–response relationships between alcohol consumption and LC, by cause and outcome.

Methods

A systematic review using PubMed/Medline and Embase was conducted, identifying studies that reported an association between level of alcohol use and LC. Meta-regression models were used to estimate the dose–response relationships and control for heterogeneity.

Results

Totally, 44 studies, and 1 secondary data source, with a total of 5,122,534 participants and 15,150 cases were included. Non-linear dose–response relationships were identified, attenuated for higher levels of consumption. For morbidity, drinking 25 g/day was associated with a RR of 1.81 (95% CI 1.68–1.94) compared to lifetime abstention; 50 g/day and 100 g/day corresponded to 3.54 (95% CI 3.29–3.81) and 8.15 (95% CI 7.46–8.91), respectively. For mortality, for 25 g/day, a RR of 2.65 (95% CI 2.22–3.16); for 50 g/day, a RR of 6.83 (95% CI 5.84–7.97); for 100 g/day, a RR of 16.38 (95% CI 13.81–19.42) were identified. A higher risk for alcohol-related and all-cause LC as compared to hepatitis C-related LC was found.

Conclusion

Our results demonstrated higher acceleration for mortality compared to morbidity. The current findings will inform the way we quantify the burden due to LC attributable to alcohol use.

Graphical abstract

Appendix
Available only for authorised users
Literature
1.
go back to reference Rush B (1785) An inquiry into the effects of ardent spirits upon the human body and mind: With an account of the means of preventing, and of the remedies for curing them. 8th edition. Reprint ed. Richardson Rush B (1785) An inquiry into the effects of ardent spirits upon the human body and mind: With an account of the means of preventing, and of the remedies for curing them. 8th edition. Reprint ed. Richardson
11.
go back to reference World Health Organization (2022) International guide for monitoring alcohol consumption and related harm. Accessed 10/07/2022 World Health Organization (2022) International guide for monitoring alcohol consumption and related harm. Accessed 10/07/2022
13.
go back to reference Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;6(355):i4919CrossRef Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;6(355):i4919CrossRef
16.
go back to reference Corbeil RR, Searle SR. Restricted maximum likelihood (REML) estimation of variance components in the mixed model. Technometrics. 1976;18(1):31–38MathSciNetCrossRef Corbeil RR, Searle SR. Restricted maximum likelihood (REML) estimation of variance components in the mixed model. Technometrics. 1976;18(1):31–38MathSciNetCrossRef
17.
go back to reference Harrell FE. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. New York: Springer-Verlag; 2010 Harrell FE. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. New York: Springer-Verlag; 2010
18.
go back to reference Harrer M, Cuijpers P, Furukawa TA, Ebert DD (2021) Doing meta-analysis with R: a hands-on guide. Chapman and Hall/CRC Harrer M, Cuijpers P, Furukawa TA, Ebert DD (2021) Doing meta-analysis with R: a hands-on guide. Chapman and Hall/CRC
20.
go back to reference R Core Team. A language and environment for statistical computing. R Foundation for Statistical Computing. Version 4.0.5. R Foundation for Statistical Computing, Accessed 20/04/2022, https://www.R-project.org/ R Core Team. A language and environment for statistical computing. R Foundation for Statistical Computing. Version 4.0.5. R Foundation for Statistical Computing, Accessed 20/04/2022, https://​www.​R-project.​org/​
27.
go back to reference Puffer RR, Griffith GW. Patterns of urban mortality: report of the Inter-American Investigation of Mortality. 1967; Washington, D.C.: Pan American Health Organization Puffer RR, Griffith GW. Patterns of urban mortality: report of the Inter-American Investigation of Mortality. 1967; Washington, D.C.: Pan American Health Organization
33.
go back to reference Chisholm D, Moro D, Bertram M, et al. Are the “best buys” for alcohol control still valid? An update on the comparative cost-effectiveness of alcohol control strategies at the global level. J Stud Alcohol Drugs. 2018;79(4):514–522CrossRefPubMed Chisholm D, Moro D, Bertram M, et al. Are the “best buys” for alcohol control still valid? An update on the comparative cost-effectiveness of alcohol control strategies at the global level. J Stud Alcohol Drugs. 2018;79(4):514–522CrossRefPubMed
Metadata
Title
How does alcohol use impact morbidity and mortality of liver cirrhosis? A systematic review and dose–response meta-analysis
Authors
Laura Llamosas-Falcón
Charlotte Probst
Charlotte Buckley
Huan Jiang
Aurélie M. Lasserre
Klajdi Puka
Alexander Tran
Yachen Zhu
Jürgen Rehm
Publication date
08-09-2023
Publisher
Springer India
Published in
Hepatology International / Issue 1/2024
Print ISSN: 1936-0533
Electronic ISSN: 1936-0541
DOI
https://doi.org/10.1007/s12072-023-10584-z

Other articles of this Issue 1/2024

Hepatology International 1/2024 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.