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Quantifying the global contribution of alcohol consumption to cardiomyopathy

BACKGROUND: The global impact of alcohol consumption on deaths due to cardiomyopathy (CM) has not been quantified to date, even though CM contains a subcategory for alcoholic CM with an effect of heavy drinking over time as the postulated underlying causal mechanism. In this feasibility study, a mod...

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Autores principales: Manthey, Jakob, Imtiaz, Sameer, Neufeld, Maria, Rylett, Margaret, Rehm, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445448/
https://www.ncbi.nlm.nih.gov/pubmed/28545449
http://dx.doi.org/10.1186/s12963-017-0137-1
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author Manthey, Jakob
Imtiaz, Sameer
Neufeld, Maria
Rylett, Margaret
Rehm, Jürgen
author_facet Manthey, Jakob
Imtiaz, Sameer
Neufeld, Maria
Rylett, Margaret
Rehm, Jürgen
author_sort Manthey, Jakob
collection PubMed
description BACKGROUND: The global impact of alcohol consumption on deaths due to cardiomyopathy (CM) has not been quantified to date, even though CM contains a subcategory for alcoholic CM with an effect of heavy drinking over time as the postulated underlying causal mechanism. In this feasibility study, a model to estimate the alcohol-attributable fraction (AAF) of CM deaths based on alcohol exposure measures is proposed. METHODS: A two-step model was developed based on aggregate-level data from 95 countries, including the most populous (data from 2013 or last available year). First, the crude mortality rate of alcoholic CM per 1,000,000 adults was predicted using a negative binomial regression based on prevalence of alcohol use disorders (AUD) and adult alcohol per capita consumption (APC) (n = 52 countries). Second, the proportion of alcoholic CM among all CM deaths (i.e., AAF) was predicted using a fractional response probit regression with alcoholic CM crude mortality rate (from Step 1), AUD prevalence, APC per drinker, and Global Burden of Disease region as predictions. Additional models repeated these steps by sex and for the wider Global Burden of Disease study definition of CM. RESULTS: There were strong correlations (>0.9) between the crude mortality rate of alcoholic CM and the AAFs, supporting the modeling strategy. In the first step, the population-weighted mean crude mortality rate was estimated at 8.4 alcoholic CM deaths per 1,000,000 (95% CI: 7.4–9.3). In the second step, the global AAFs were estimated at 6.9% (95% CI: 5.4–8.4%). Sex-specific figures suggested a lower AAF among females (2.9%, 95% CI: 2.3–3.4%) as compared to males (8.9%, 95% CI: 7.0–10.7%). Larger deviations between observed and predicted AAFs were found in Eastern Europe and Central Asia. CONCLUSIONS: The model proposed promises to fill the gap to include AAFs for CM into comparative risk assessments in the future. These predictions likely will be underestimates because of the stigma involved in all fully alcohol-attributable conditions and subsequent problems in coding of alcoholic CM deaths. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12963-017-0137-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-54454482017-05-30 Quantifying the global contribution of alcohol consumption to cardiomyopathy Manthey, Jakob Imtiaz, Sameer Neufeld, Maria Rylett, Margaret Rehm, Jürgen Popul Health Metr Research BACKGROUND: The global impact of alcohol consumption on deaths due to cardiomyopathy (CM) has not been quantified to date, even though CM contains a subcategory for alcoholic CM with an effect of heavy drinking over time as the postulated underlying causal mechanism. In this feasibility study, a model to estimate the alcohol-attributable fraction (AAF) of CM deaths based on alcohol exposure measures is proposed. METHODS: A two-step model was developed based on aggregate-level data from 95 countries, including the most populous (data from 2013 or last available year). First, the crude mortality rate of alcoholic CM per 1,000,000 adults was predicted using a negative binomial regression based on prevalence of alcohol use disorders (AUD) and adult alcohol per capita consumption (APC) (n = 52 countries). Second, the proportion of alcoholic CM among all CM deaths (i.e., AAF) was predicted using a fractional response probit regression with alcoholic CM crude mortality rate (from Step 1), AUD prevalence, APC per drinker, and Global Burden of Disease region as predictions. Additional models repeated these steps by sex and for the wider Global Burden of Disease study definition of CM. RESULTS: There were strong correlations (>0.9) between the crude mortality rate of alcoholic CM and the AAFs, supporting the modeling strategy. In the first step, the population-weighted mean crude mortality rate was estimated at 8.4 alcoholic CM deaths per 1,000,000 (95% CI: 7.4–9.3). In the second step, the global AAFs were estimated at 6.9% (95% CI: 5.4–8.4%). Sex-specific figures suggested a lower AAF among females (2.9%, 95% CI: 2.3–3.4%) as compared to males (8.9%, 95% CI: 7.0–10.7%). Larger deviations between observed and predicted AAFs were found in Eastern Europe and Central Asia. CONCLUSIONS: The model proposed promises to fill the gap to include AAFs for CM into comparative risk assessments in the future. These predictions likely will be underestimates because of the stigma involved in all fully alcohol-attributable conditions and subsequent problems in coding of alcoholic CM deaths. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12963-017-0137-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-25 /pmc/articles/PMC5445448/ /pubmed/28545449 http://dx.doi.org/10.1186/s12963-017-0137-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Manthey, Jakob
Imtiaz, Sameer
Neufeld, Maria
Rylett, Margaret
Rehm, Jürgen
Quantifying the global contribution of alcohol consumption to cardiomyopathy
title Quantifying the global contribution of alcohol consumption to cardiomyopathy
title_full Quantifying the global contribution of alcohol consumption to cardiomyopathy
title_fullStr Quantifying the global contribution of alcohol consumption to cardiomyopathy
title_full_unstemmed Quantifying the global contribution of alcohol consumption to cardiomyopathy
title_short Quantifying the global contribution of alcohol consumption to cardiomyopathy
title_sort quantifying the global contribution of alcohol consumption to cardiomyopathy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445448/
https://www.ncbi.nlm.nih.gov/pubmed/28545449
http://dx.doi.org/10.1186/s12963-017-0137-1
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