Influence of population selection on the 99th percentile reference value for cardiac troponin assays

Paul O Collinson1, Yen Ming Heung, David Gaze

  • 1Department of Cardiology, St George's Hospital, London, UK. paul.collinson@stgeorges.nhs.uk

Clinical Chemistry
|November 22, 2011
PubMed

Insights

Patient selection significantly impacts cardiac troponin assay reference values. Stringent criteria reduced 99th percentile values and sex differences for some troponin assays.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Diagnostics
  • Biomarker Assay Development

Background:

  • Cardiac troponin assays are crucial for diagnosing myocardial infarction.
  • Establishing accurate reference ranges, particularly the 99th percentile, is essential for assay interpretation.
  • The impact of reference population selection on troponin assay performance is not fully understood.

Purpose of the Study:

  • To investigate how patient selection affects the 99th reference percentile for cardiac troponin assays.
  • To evaluate the influence of stringent selection criteria on assay results and observed sex differences.

Main Methods:

  • Randomly selected individuals over 45 from community practices.
  • Defined a healthy reference population based on strict exclusion criteria (no vascular disease, hypertension, etc.).
  • Analyzed cardiac troponin I (cTnI) and cardiac troponin T (cTnT) using sensitive and high-sensitivity assays.

Main Results:

  • Progressively stricter population selection reduced the 99th percentile for Roche hs-cTnT and Beckman cTnI assays.
  • The Siemens Ultra cTnI assay's 99th percentile was not significantly affected by selection criteria.
  • Stringent selection criteria diminished the observed sex differences in troponin concentrations for hs-cTnT and Beckman cTnI.

Conclusions:

  • Reference population selection critically influences 99th percentile values for cardiac troponin assays.
  • The choice of population impacts the reliability and comparability of troponin assay results.
  • Understanding these selection effects is vital for accurate clinical interpretation of troponin levels.
Abstract

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