Literature DB >> 35363378

Estimating alcohol-attributable liver disease mortality: A comparison of methods.

Adam Sherk1, Marissa B Esser2, Tim Stockwell1, Timothy S Naimi1.   

Abstract

INTRODUCTION: Alcohol is a leading contributor to liver disease, however, estimating the proportion of liver disease deaths attributable to alcohol use can be methodologically challenging.
METHODS: We compared three approaches for estimating alcohol-attributable liver disease deaths (AALDD), using the USA as an example. One involved summing deaths from alcoholic liver disease and a proportion from unspecified cirrhosis (direct method); two used population attributable fraction (PAF) methodology, including one that adjusted for per capita alcohol sales. For PAFs, the 2011-2015 Behavioral Risk Factor Surveillance System and per capita sales from the Alcohol Epidemiologic Data System were used to derive alcohol consumption prevalence estimates at various levels (excessive alcohol use was defined by medium and high consumption levels). Prevalence estimates were used with relative risks from two meta-analyses, and PAFs were applied to the 2011-2015 average annual number of deaths from alcoholic cirrhosis and unspecified cirrhosis (using National Vital Statistics System data) to estimate AALDD.
RESULTS: The number of AALDD was higher using the direct method (28 345 annually) than the PAF methods, but similar when alcohol prevalence was adjusted using per capita sales and all alcohol consumption levels were considered (e.g. 25 145 AALDD). Using the PAF method, disaggregating non-drinkers into lifetime abstainers and former drinkers to incorporate relative risks for former drinkers yielded higher AALDD estimates (e.g. 27 686) than methods with all non-drinkers combined. DISCUSSION AND
CONCLUSIONS: Using PAF methods that adjust for per capita sales and model risks for former drinkers yield more complete and possibly more valid AALDD estimates.
© 2022 Australasian Professional Society on Alcohol and other Drugs.

Entities:  

Keywords:  alcohol; alcoholic liver disease mortality; cirrhosis; population attributable fractions

Mesh:

Year:  2022        PMID: 35363378      PMCID: PMC9253033          DOI: 10.1111/dar.13470

Source DB:  PubMed          Journal:  Drug Alcohol Rev        ISSN: 0959-5236


  29 in total

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2.  The International Model of Alcohol Harms and Policies: A New Method for Estimating Alcohol Health Harms With Application to Alcohol-Attributable Mortality in Canada.

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Review 4.  Selection biases in observational studies affect associations between 'moderate' alcohol consumption and mortality.

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5.  Projected prevalence and mortality associated with alcohol-related liver disease in the USA, 2019-40: a modelling study.

Authors:  Jovan Julien; Turgay Ayer; Emily D Bethea; Elliot B Tapper; Jagpreet Chhatwal
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6.  The risk function for liver cirrhosis from lifetime alcohol consumption.

Authors:  O J Skog
Journal:  J Stud Alcohol       Date:  1984-05

7.  Consistency of Drinker Status Over Time: Drinking Patterns of Ex-Drinkers Who Describe Themselves as Lifetime Abstainers.

Authors:  Sarah Callinan; Tanya Chikritzhs; Michael Livingston
Journal:  J Stud Alcohol Drugs       Date:  2019-09       Impact factor: 2.582

Review 8.  Alcohol as a risk factor for liver cirrhosis: a systematic review and meta-analysis.

Authors:  Jürgen Rehm; Benjamin Taylor; Satya Mohapatra; Hyacinth Irving; Dolly Baliunas; Jayadeep Patra; Michael Roerecke
Journal:  Drug Alcohol Rev       Date:  2010-07

9.  Underestimation of alcohol consumption in cohort studies and implications for alcohol's contribution to the global burden of disease.

Authors:  Tim Stockwell; Jinhui Zhao; Adam Sherk; Jürgen Rehm; Kevin Shield; Tim Naimi
Journal:  Addiction       Date:  2018-08-21       Impact factor: 6.526

10.  Alcohol Use Is Associated With Hepatic Steatosis Among Persons With Presumed Nonalcoholic Fatty Liver Disease.

Authors:  Michelle T Long; Joseph M Massaro; Udo Hoffmann; Emelia J Benjamin; Timothy S Naimi
Journal:  Clin Gastroenterol Hepatol       Date:  2019-11-14       Impact factor: 11.382

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