Diagnostic parameters of CK-MB and myoglobin related to chest pain duration

Grant Innes1, James Christenson, W Douglas Weaver

  • 1University of British Columbia, Vancouver, British Columbia, Canada.

CJEM
|July 5, 2007
PubMed

Insights

Early cardiac marker tests like CK-MB and myoglobin are not sensitive enough to rule out acute myocardial infarction (AMI) in emergency department patients, even with serial testing within the first hour. Longer observation periods are needed for accurate diagnosis.

Area of Science:

  • Emergency Medicine
  • Cardiology
  • Clinical Diagnostics

Background:

  • Cardiac marker sensitivity for acute myocardial infarction (AMI) is influenced by the duration of chest pain at the time of blood sampling.
  • Early diagnostic assays in the emergency department (ED) often yield nondiagnostic results for patients with ongoing chest pain.

Purpose of the Study:

  • To estimate the sensitivity, specificity, and likelihood ratios of early creatine kinase-MB (CK-MB) and myoglobin assays.
  • To stratify these estimates by the duration of ongoing chest pain in patients presenting to the ED with nondiagnostic ECGs.

Main Methods:

  • Prospective observational study in 10 US and 2 Canadian EDs.
  • Included patients >25 years with ongoing chest pain and nondiagnostic ECGs, stratified by pain duration (0-4h, 4-8h, 8-12h, >12h).
  • CK-MB and myoglobin assays drawn at 0 and 1 hour; patients followed for 7-14 days for AMI diagnosis.

Main Results:

  • Of 5005 eligible patients, 565 had AMI. Marker sensitivity increased with pain duration.
  • Maximal sensitivity for a single T=0 assay was 73% (CK-MB or myoglobin) in patients with >8 hours of pain.
  • No combination of early tests achieved 90% sensitivity across any pain duration strata.

Conclusions:

  • Single and early serial (0+1 hr) cardiac marker assays are insufficient to rule out AMI, irrespective of chest pain duration.
  • Serial assays over extended observation periods are necessary for accurate AMI diagnosis.
  • Derived likelihood ratios can aid physicians using Bayesian analysis for post-test AMI probability assessment.
Abstract

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