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Authordc.contributor.authorSnyder, Michelle L. 
Authordc.contributor.authorLove, Shelly Ann es_CL
Authordc.contributor.authorSorlie, Paul D. es_CL
Authordc.contributor.authorRosamond, Wayne D. es_CL
Authordc.contributor.authorAntini Irribarra, Carmen es_CL
Authordc.contributor.authorMetcalf, Patricia A. es_CL
Authordc.contributor.authorHardy, Shakia es_CL
Authordc.contributor.authorSuchindran, Chirayath M. es_CL
Authordc.contributor.authorShahar, Eyal es_CL
Authordc.contributor.authorHeiss, Gerardo es_CL
Admission datedc.date.accessioned2014-12-21T02:43:24Z
Available datedc.date.available2014-12-21T02:43:24Z
Publication datedc.date.issued2014
Cita de ítemdc.identifier.citationPopulation Health Metrics 2014 12:10.en_US
Identifierdc.identifier.otherdoi:10.1186/1478-7954-12-10
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/129452
General notedc.descriptionArtículo de publicación ISIen_US
Abstractdc.description.abstractBackground: 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 55 years 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. Keywords: Cause of death, Coronary heart disease, Death certificates, Heart failure, Mortality, Vital statistics, Ill-defined causes of deathen_US
Patrocinadordc.description.sponsorshipThe Atherosclerosis Risk in Communities (ARIC) Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C). The authors thank the staff and participants of the ARIC study for their important contributions. MLS is supported by the National Heart, Lung, and Blood Institute T32 training grant HL-007055.en_US
Lenguagedc.language.isoenen_US
Publisherdc.publisherBioMed Centralen_US
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Títulodc.titleRedistribution of heart failure as the cause of death: the Atherosclerosis Risk in Communities Studyen_US
Document typedc.typeArtículo de revista


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