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Related Experiment Videos

All troponins are not created equal.

S Jossi1, S L Gordon, M A Legge

  • 1Department of Clinical Chemistry, North Shore Hospital, Takapuna, Auckland, New Zealand.

Internal Medicine Journal
|May 3, 2006
PubMed
Summary
This summary is machine-generated.

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Different troponin assays show poor agreement in classifying results, leading to significant variations in diagnosing acute coronary syndromes. Clinicians must consider the clinical context over assay-specific normal ranges.

Area of Science:

  • Cardiology
  • Clinical Chemistry
  • Biomarker Analysis

Background:

  • Troponin assays are crucial for diagnosing acute coronary syndromes (ACS).
  • Clinical decisions rely on categorizing troponin results as positive or negative.
  • Variability between troponin assays may impact patient diagnosis and management.

Purpose of the Study:

  • To evaluate the categorical agreement between four different troponin assays.
  • To assess the impact of assay variability on the classification of troponin results.

Main Methods:

  • Analysis of 60 blood samples using three troponin I assays (Centaur, Architect, i-STAT) and one troponin T assay (Roche Elecys).
  • Determination of upper reference limits based on a 10% coefficient of variation.
  • Assessment of continuous agreement using Pearson's correlation and categorical agreement using Cohen's kappa.

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Main Results:

  • Continuous agreement between assays was generally good (Pearson's r = 0.871-0.995).
  • Categorical agreement varied from poor (kappa = 0.37-0.48) to good (kappa = 0.68).
  • The percentage of positive results ranged from 37% to 72%, a nearly twofold variation.

Conclusions:

  • Significant variations exist in the proportion of positive results among different troponin assays.
  • This variability may lead to missed diagnoses or false positives, affecting ACS management.
  • Clinical judgment and context are essential when interpreting troponin results, rather than relying solely on local assay normal ranges.