Redistribution of heart failure as the cause of death: the Atherosclerosis Risk in Communities Study
Author
Snyder, MichelleLove, Shelly-Ann
Sorlie, Paul
Rosamond, Wayne
Antini, Carmen
Metcalf, Patricia
Hardy, Shakia
Suchindran, Chirayath
Shahar, Eyal
Heiss, Gerardo
Affiliation
Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, 137 E. Franklin St., Suite 306, Chapel Hill, NC 27514, USAThe National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Two Rockledge Center, Suite 10018, 6701 Rockledge Dr. MSC 7936, Bethesda, Maryland 20892, USA
Department of Epidemiology, School of Public Health, University of Chile, Independencia 939, Independencia, Santiago 8380453, Chile
Department of Statistics, University of Auckland, Private Bag 9201, Auckland 1142, New Zealand
Department of Biostatistics, Gillings School of Public Health, University of North Carolina at Chapel Hill, 3103-A McGavran-Greenberg, 135 Dauer Drive, Chapel Hill, NC 27599, USA
Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, 1295 N. Martin Ave, Tucson, AZ 85724, USA
Issue Date
2014Keywords
Cause of deathCoronary heart disease
Death certificates
Heart failure
Mortality
Vital statistics
Ill-defined causes of death
Metadata
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BioMed CentralCitation
Snyder et al. Population Health Metrics 2014, 12:10 http://www.pophealthmetrics.com/content/12/1/10Journal
Population Health MetricsRights
© 2014 Snyder et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).Collection Information
This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.Abstract
BACKGROUND:Heart failure is sometimes incorrectly listed as the underlying cause of death (UCD) on death certificates, thus compromising the accuracy and comparability of mortality statistics. Statistical redistribution of the UCD has been used to examine the effect of misclassification of the UCD attributed to heart failure, but sex- and race-specific redistribution of deaths on coronary heart disease (CHD) mortality in the United States has not been examined.METHODS:We used coarsened exact matching to infer the UCD of vital records with heart failure as the UCD from 1999 to 2010 for decedents 55years old and older from states encompassing regions under surveillance by the Atherosclerosis Risk in Communities (ARIC) Study (Maryland, Minnesota, Mississippi, and North Carolina). Records with heart failure as the UCD were matched on decedent characteristics (five-year age groups, sex, race, education, year of death, and state) to records with heart failure listed among the multiple causes of death. Each heart failure death was then redistributed to plausible UCDs proportional to the frequency among matched records.RESULTS:After redistribution the proportion of deaths increased for CHD, chronic obstructive pulmonary disease, diabetes, hypertensive heart disease, and cardiomyopathy, P<0.001. The percent increase in CHD mortality after redistribution was the highest in Mississippi (12%) and lowest in Maryland (1.6%), with variations by year, race, and sex. Redistribution proportions for CHD were similar to CHD death classification by a panel of expert reviewers in the ARIC study.CONCLUSIONS:Redistribution of ill-defined UCD would improve the accuracy and comparability of mortality statistics used to allocate public health resources and monitor mortality trends.EISSN
1478-7954Version
Final published versionAdditional Links
http://www.pophealthmetrics.com/content/12/1/10ae974a485f413a2113503eed53cd6c53
10.1186/1478-7954-12-10
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Except where otherwise noted, this item's license is described as © 2014 Snyder et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).