Literature DB >> 21973254

Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths.

Linton R Harriss1, Andrew E Ajani, David Hunt, James Shaw, Brian Chambers, Helen Dewey, Judith Frayne, Alison Beauchamp, Karen Duvé, Graham G Giles, Stephen Harrap, Dianna J Magliano, Danny Liew, John McNeil, Anna Peeters, Margaret Stebbing, Rory Wolfe, Andrew Tonkin.   

Abstract

OBJECTIVE: This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification.
METHODS: A 12-year retrospective case ascertainment of all ICD-coded CVD deaths was performed for deaths between 1990 and 2002 in the Melbourne Collaborative Cohort Study, comprising 41,528 subjects. Categories of non-CVD codes were also examined. Stratified samples of 750 deaths were adjudicated from a total of 2,230 deaths. Expert panels of cardiologists and neurologists adjudicated deaths.
RESULTS: Of the 750 deaths adjudicated, 582 were verified as CVD [392 coronary heart disease (CHD) and 92 stroke] and 168 non-CVD. Estimated sensitivity and specificity of national mortality codes for identifying specific causes of death were: CHD 74.2% (95% CI: 69.8-78.5%) and 97.6% (96.0-99.2%), respectively; myocardial infarction 59.9% (50.9-69.0%) and 94.2% (92.4-96.0%), respectively; haemorrhagic stroke 58.9% (46.0-71.7%) and 99.8% (99.4-100.0%), respectively and; ischaemic stroke 38.7% (20.5-56.9%) and 99.9% (99.6-100.0%), respectively. Misclassification was most common for deaths with primary ICD codes for endocrine-metabolic and genito-urinary diseases.
CONCLUSIONS: National mortality coding under-estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively. IMPLICATIONS: Misclassification of cause of death may have implications for conclusions drawn from epidemiological research.
© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.

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Year:  2011        PMID: 21973254     DOI: 10.1111/j.1753-6405.2011.00739.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


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