2023
DOI: 10.1177/00045632231197301
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Practical approaches to the detection of macrotroponin

Abstract: Introduction: Macrotroponin is increasingly recognised as a cause of confusion in interpreting high-sensitivity cardiac troponin (hs-cTnI) results. In this study, we sought to evaluate two practical approaches to detecting macrotroponin. These two approaches are PEG precipitation and SVM (support vector machine) analysis to classify discrepancies between hs-cTn assays. Method: Residual serum and heparin plasma specimens (n=483) with initially elevated hs-cTnI from hospital and community laboratorie… Show more

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Cited by 3 publications
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“… 27 A recent study has shown that a support vector machine analysis, using supervised machine learning, had performed well in identifying macrotroponin based on the discordance in the results obtained with certain combinations of hs‐cTn assays. 59 However, discordance between analytical platforms cannot identify the source of the interference and some macrotroponin cases have been shown to cause interference with multiple assays. 56 …”
Section: Macrotroponin Interferences and Detectionmentioning
confidence: 99%
“… 27 A recent study has shown that a support vector machine analysis, using supervised machine learning, had performed well in identifying macrotroponin based on the discordance in the results obtained with certain combinations of hs‐cTn assays. 59 However, discordance between analytical platforms cannot identify the source of the interference and some macrotroponin cases have been shown to cause interference with multiple assays. 56 …”
Section: Macrotroponin Interferences and Detectionmentioning
confidence: 99%