Assessing Analytical Performance and Correct Classification for Cardiac Troponin Deltas Across Diagnostic Pathways Used for Myocardial Infarction

<b>Background:</b> In the emergency setting, many diagnostic pathways incorporate change in high-sensitivity cardiac troponin (hs-cTn) concentrations (i.e., the delta) to classify patients as low-risk (rule-out) or high-risk (rule-in) for possible myocardial infarction (MI). However, the impact of analytical variation on the delta for correct classification is unknown, especially at concentrations below and around the 99th percentile. Our objective was to assess the impact of delta variation for correct risk classification across the European Society of Cardiology (ESC 0/1 h and 0/2 h), the High-STEACS, and the common change criteria (3C) pathways. <b>Methods</b>: A yearlong accuracy study for hs-cTnT was performed where laboratories across Canada tested three patient-based samples (level 1 target value = 6 ng/L, level 2 target value = 9 ng/L, level 3 target value = 12 ng/L) monthly across 41 different analyzers. The assigned low-delta between levels 1 and 2 was 3 ng/L (i.e., 9 - 6 = 3 ng/L) and the assigned high-delta between levels 1 and 3 was 6 ng/L (i.e., 12 - 6 = 6 ng/L). The low- and high-deltas for each analyzer were determined monthly from the measured values, with the difference calculated from the assigned deltas. The obtained deltas were then assessed via the different pathways on correct classification (i.e., percent correct with 95% confidence intervals, CI) and using non-parametric analyses. <b>Results</b>: The median (interquartile range) difference between the measured versus assigned low-delta (n = 436) and high-delta (n = 439) was -1 ng/L (-1 to 0). The correct classification differed among the pathways. The ESC 0/1 h pathway yielded the lowest percentage of correct classification at 35.3% (95% CI: 30.8 to 40.0) for the low-delta and 90.0% (95% CI: 86.8 to 92.6) for the high-delta. The 3C and ESC 0/2 h pathways yielded higher and equivalent estimates on correct classification: 95.2% (95% CI: 92.7 to 97.0) for the low-delta and 98.2% (95% CI: 96.4 to 99.2) for the high-delta. The High-STEACS pathway yielded 99.5% (95% CI: 98.4 to 99.9) of correct classifications for the high-delta but only 36.2% (95% CI: 31.7 to 40.9) for the low-delta. <b>Conclusions</b>: Analytical variation will impact risk classification for MI when using hs-cTn deltas alone per the pathways. The 3C and ESC 0/2 h pathways have <5% misclassification when using deltas for hs-cTnT in this dataset. Additional studies with different hs-cTnI assays at concentrations below and near the 99th percentile are warranted to confirm these findings.

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Journal
Diagnostics
Published
2025-06-28
DOI
https://doi.org/10.3390/diagnostics15131652
Citations
1
Primary Topic
Acute Myocardial Infarction Research
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article
Field-Weighted Citation Impact
1.39

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article

Assessing Analytical Performance and Correct Classification for Cardiac Troponin Deltas Across Diagnostic Pathways Used for Myocardial Infarction

Andrew Worster, Craig Ainsworth, Steven Friedman, Kristin M. Aakre et al.
1 citations
Diagnostics
Acute Myocardial Infarction Research
1.39
article

Assessing Analytical Performance and Correct Classification for Cardiac Troponin Deltas Across Diagnostic Pathways Used for Myocardial Infarction

Andrew Worster, Craig Ainsworth, Steven Friedman, Kristin M. Aakre, Laurel Thorlacius, Daniel R. Beriault, Michael J. Knauer, Marco L.A. Sivilotti, Wonshik Choi, Emilie P. Belley‐Côté, Flávia K. Borges, Sameer Sharif, Frank Scheuermeyer, David Blank, Angela W.S. Fung, Annabel Chen‐Tournoux, Venkatesh Thiruganasambandamoorthy, Wael L. L. Demian, Jesse McLaren, L. Clark, Paul Atkinson, Karin H. Humphries, Shawn Mondoux, Andrew D. McRae, Peter A. Kavsak, Neville Suskin, Allan S. Jaffe, Jennifer Taher, Beth L. Abramson, Jennifer Shea, Yun Huang, Paul S. F. Yip, Joshua E. Raizman
article en
1 citations

Abstract

<b>Background:</b> In the emergency setting, many diagnostic pathways incorporate change in high-sensitivity cardiac troponin (hs-cTn) concentrations (i.e., the delta) to classify patients as low-risk (rule-out) or high-risk (rule-in) for possible myocardial infarction (MI). However, the impact of analytical variation on the delta for correct classification is unknown, especially at concentrations below and around the 99th percentile. Our objective was to assess the impact of delta variation for correct risk classification across the European Society of Cardiology (ESC 0/1 h and 0/2 h), the High-STEACS, and the common change criteria (3C) pathways. <b>Methods</b>: A yearlong accuracy study for hs-cTnT was performed where laboratories across Canada tested three patient-based samples (level 1 target value = 6 ng/L, level 2 target value = 9 ng/L, level 3 target value = 12 ng/L) monthly across 41 different analyzers. The assigned low-delta between levels 1 and 2 was 3 ng/L (i.e., 9 - 6 = 3 ng/L) and the assigned high-delta between levels 1 and 3 was 6 ng/L (i.e., 12 - 6 = 6 ng/L). The low- and high-deltas for each analyzer were determined monthly from the measured values, with the difference calculated from the assigned deltas. The obtained deltas were then assessed via the different pathways on correct classification (i.e., percent correct with 95% confidence intervals, CI) and using non-parametric analyses. <b>Results</b>: The median (interquartile range) difference between the measured versus assigned low-delta (n = 436) and high-delta (n = 439) was -1 ng/L (-1 to 0). The correct classification differed among the pathways. The ESC 0/1 h pathway yielded the lowest percentage of correct classification at 35.3% (95% CI: 30.8 to 40.0) for the low-delta and 90.0% (95% CI: 86.8 to 92.6) for the high-delta. The 3C and ESC 0/2 h pathways yielded higher and equivalent estimates on correct classification: 95.2% (95% CI: 92.7 to 97.0) for the low-delta and 98.2% (95% CI: 96.4 to 99.2) for the high-delta. The High-STEACS pathway yielded 99.5% (95% CI: 98.4 to 99.9) of correct classifications for the high-delta but only 36.2% (95% CI: 31.7 to 40.9) for the low-delta. <b>Conclusions</b>: Analytical variation will impact risk classification for MI when using hs-cTn deltas alone per the pathways. The 3C and ESC 0/2 h pathways have <5% misclassification when using deltas for hs-cTnT in this dataset. Additional studies with different hs-cTnI assays at concentrations below and near the 99th percentile are warranted to confirm these findings.

DiagnosticsVol. 15(13)
Western University (CA), University of British Columbia (CA), University of Ottawa (CA), University of Alberta (CA), University of Calgary (CA), University of Toronto (CA), Queen's University (CA), Saint John Regional Hospital (CA), Haukeland University Hospital (NO), Population Health Research Institute (CA), Mayo Clinic in Arizona (US), University of Bergen (NO), University of Manitoba (CA), McGill University (CA), McMaster University (CA)
Hamilton Health Sciences, Canadian Institutes of Health Research
Good health and well-being
Openalex Percentile: Top 17%
Acute Myocardial Infarction Research
1.39
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