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An approach to rule-out an acute cardiovascular event or death in emergency department patients using outcome-based cutoffs for high-sensitivity cardiac troponin assays and glucose.
MedLine Citation:
PMID:  25448027     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVES: The application of "undetectable" high-sensitivity cardiac troponin (hs-cTn) concentrations to "rule-out" myocardial infarction is appealing, but there are analytical concerns and a lack of consensus on what concentration should be used to define the lower reportable limit; i.e., limit of detection (LoD) or limit of blank. An alternative approach is to utilize a measurable hs-cTn concentration that identifies patients at low-risk for a future cardiovascular event combined with another prognostic test, such as glucose. We assessed both of these approaches in different emergency department (ED) cohorts to rule-out an event.
DESIGN AND METHODS: We used cohort 1 (all-comer ED population, n=4773; derivation cohort) to determine the most appropriate approach at presentation (i.e., Dual Panel test: hs-cTn/glucose vs. LoD vs. LoD/glucose) for an early rule-out of hospital death using the Abbott ARCHITECT hs-cTnI assay. We used cohort 2 (n=144) and cohort 3 (n=127), both early chest pain onset ED populations as the verification datasets (outcome: composite cardiovascular event at 72h) with three hs-cTn assays assessed (Abbott Laboratories, Beckman Coulter, Roche Diagnostics).
RESULTS: In cohort 1, the sensitivity was >99% for all three approaches; however the specificity (11%; 95% CI: 10-12%) was significantly higher for the Dual Panel as compared to the LoD approach (specificity=5%; 95% CI: 4-6%). Verification of the Dual Panel in cohort 2 and cohort 3 revealed 100% sensitivity and negative predictive values for all three hs-cTn assays.
CONCLUSIONS: The combination of a "healthy" hs-cTn concentration with glucose might effectively rule-out patients for an acute cardiovascular event at ED presentation.
Authors:
Colleen Shortt; Kim Phan; Stephen A Hill; Andrew Worster; Peter A Kavsak
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-11-20
Journal Detail:
Title:  Clinical biochemistry     Volume:  -     ISSN:  1873-2933     ISO Abbreviation:  Clin. Biochem.     Publication Date:  2014 Nov 
Date Detail:
Created Date:  2014-12-2     Completed Date:  -     Revised Date:  2014-12-3    
Medline Journal Info:
Nlm Unique ID:  0133660     Medline TA:  Clin Biochem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier Inc.
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