Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays

Albert K Y Tsui1,2, Martha E Lyon3, Sean van Diepen4

  • 1Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada; atsui@ualberta.ca.

Insights

Standardizing cardiac troponin I (cTnI) assays is crucial for acute myocardial infarction diagnosis. A single cutoff value improved concordance across different cTnI testing methods.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Diagnostics
  • Biomarker Assay Standardization

Background:

  • Cardiac troponin I (cTnI) assays are vital for diagnosing acute myocardial infarction (AMI).
  • Current 99th percentile cutoffs for cTnI assays lack standardization across different testing platforms.
  • This variability hinders consistent AMI diagnosis and patient management.

Purpose of the Study:

  • To evaluate the analytical concordance of contemporary cTnI assays with a high-sensitivity assay.
  • To assess the feasibility of implementing a single cutoff value for cTnI across various assays.
  • To inform the standardization of diagnostic protocols for AMI.

Main Methods:

  • Compared 3 point-of-care (POC) and 1 central laboratory cTnI assay against the Abbott high-sensitivity (hs) cTnI assay.
  • Analyzed fresh blood samples from 102 coronary care unit inpatients.
  • Utilized regression analysis, Bland-Altman plots, and diagnostic contingency tables to assess agreement, correlation, bias, and concordance.

Main Results:

  • Most POC cTnI assays showed excellent correlation (r²=0.955-0.970) with the hs-cTnI assay, except for Alere Triage (r²=0.617).
  • Proportional bias was observed across all compared cTnI assays.
  • Concordance improved from 80-90% at individual 99th percentile cutoffs to 90-95% using a single fixed cutoff (0.03-0.05 ng/mL).

Conclusions:

  • Significant analytical discordance exists between cTnI assays at their respective 99th percentile cutoffs.
  • A single clinical decision limit for cTnI is supported to standardize diagnostic protocols.
  • Despite analytical differences, standardization is feasible and recommended for improved AMI diagnosis.
Abstract