Validation of a computer case definition for sudden cardiac death in opioid users
<p>Abstract</p> <p>Background</p> <p>To facilitate the use of automated databases for studies of sudden cardiac death, we previously developed a computerized case definition that had a positive predictive value between 86% and 88%. However, the definition has not been s...
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doaj-f7bb73b104454801afe28b6ced60acc82020-11-25T01:29:03ZengBMCBMC Research Notes1756-05002012-08-015147310.1186/1756-0500-5-473Validation of a computer case definition for sudden cardiac death in opioid usersKawai Vivian KMurray Katherine TStein CCooper William OGraham David JHall KathiRay Wayne A<p>Abstract</p> <p>Background</p> <p>To facilitate the use of automated databases for studies of sudden cardiac death, we previously developed a computerized case definition that had a positive predictive value between 86% and 88%. However, the definition has not been specifically validated for prescription opioid users, for whom out-of-hospital overdose deaths may be difficult to distinguish from sudden cardiac death.</p> <p>Findings</p> <p>We assembled a cohort of persons 30-74 years of age prescribed propoxyphene or hydrocodone who had no life-threatening non-cardiovascular illness, diagnosed drug abuse, residence in a nursing home in the past year, or hospital stay within the past 30 days. Medical records were sought for a sample of 140 cohort deaths within 30 days of a prescription fill meeting the computer case definition. Of the 140 sampled deaths, 81 were adjudicated; 73 (90%) were sudden cardiac deaths. Two deaths had possible opioid overdose; after removing these two the positive predictive value was 88%.</p> <p>Conclusions</p> <p>These findings are consistent with our previous validation studies and suggest the computer case definition of sudden cardiac death is a useful tool for pharmacoepidemiologic studies of opioid analgesics.</p> http://www.biomedcentral.com/1756-0500/5/473Case definitionAutomated databasesSudden cardiac deathOpioidsPropoxyphene |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kawai Vivian K Murray Katherine T Stein C Cooper William O Graham David J Hall Kathi Ray Wayne A |
spellingShingle |
Kawai Vivian K Murray Katherine T Stein C Cooper William O Graham David J Hall Kathi Ray Wayne A Validation of a computer case definition for sudden cardiac death in opioid users BMC Research Notes Case definition Automated databases Sudden cardiac death Opioids Propoxyphene |
author_facet |
Kawai Vivian K Murray Katherine T Stein C Cooper William O Graham David J Hall Kathi Ray Wayne A |
author_sort |
Kawai Vivian K |
title |
Validation of a computer case definition for sudden cardiac death in opioid users |
title_short |
Validation of a computer case definition for sudden cardiac death in opioid users |
title_full |
Validation of a computer case definition for sudden cardiac death in opioid users |
title_fullStr |
Validation of a computer case definition for sudden cardiac death in opioid users |
title_full_unstemmed |
Validation of a computer case definition for sudden cardiac death in opioid users |
title_sort |
validation of a computer case definition for sudden cardiac death in opioid users |
publisher |
BMC |
series |
BMC Research Notes |
issn |
1756-0500 |
publishDate |
2012-08-01 |
description |
<p>Abstract</p> <p>Background</p> <p>To facilitate the use of automated databases for studies of sudden cardiac death, we previously developed a computerized case definition that had a positive predictive value between 86% and 88%. However, the definition has not been specifically validated for prescription opioid users, for whom out-of-hospital overdose deaths may be difficult to distinguish from sudden cardiac death.</p> <p>Findings</p> <p>We assembled a cohort of persons 30-74 years of age prescribed propoxyphene or hydrocodone who had no life-threatening non-cardiovascular illness, diagnosed drug abuse, residence in a nursing home in the past year, or hospital stay within the past 30 days. Medical records were sought for a sample of 140 cohort deaths within 30 days of a prescription fill meeting the computer case definition. Of the 140 sampled deaths, 81 were adjudicated; 73 (90%) were sudden cardiac deaths. Two deaths had possible opioid overdose; after removing these two the positive predictive value was 88%.</p> <p>Conclusions</p> <p>These findings are consistent with our previous validation studies and suggest the computer case definition of sudden cardiac death is a useful tool for pharmacoepidemiologic studies of opioid analgesics.</p> |
topic |
Case definition Automated databases Sudden cardiac death Opioids Propoxyphene |
url |
http://www.biomedcentral.com/1756-0500/5/473 |
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