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Rapid diagnostic strategies using high sensitivity troponin assays: what is the evidence and how should they be implemented?

Collinson, P; Dakshi, A; Khand, A (2023) Rapid diagnostic strategies using high sensitivity troponin assays: what is the evidence and how should they be implemented? Ann Clin Biochem, 60 (1). pp. 37-45. ISSN 1758-1001 https://doi.org/10.1177/00045632221100347
SGUL Authors: Collinson, Paul

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Abstract

The introduction of high sensitivity measurement of cardiac troponin T (hs cTnT) and cardiac troponin I (hs cTnI) has given the laboratory the ability to measure very low levels of cardiac troponin. The limit of detection of these assays is well below the 99th percentile. These low levels can also be measured with small values of imprecision. A range of algorithms combining presentation measurement with repeat sample intervals of as little as one to 2 hours have been developed. These are able to predict with acceptable accuracy the diagnosis that would be achieved with continued repeat sampling out to six to 12 hours from presentation. In this article, we review the evidence for the diagnostic accuracy of these approaches and the practical aspects of implementation into routine clinical practice.

Item Type: Article
Additional Information: Collinson, P; Dakshi, A; Khand, A, Rapid diagnostic strategies using high sensitivity troponin assays: what is the evidence and how should they be implemented?, Annals of Clinical Biochemistry. Copyright © 2022 (The Author(s)). DOI: 10.1177/00045632221100347
Keywords: Cardiac troponin I, acute coronary syndromes, cardiac troponin T, myocardial infarction, rapid diagnostic algortihms, Cardiac troponin I, cardiac troponin T, myocardial infarction, acute coronary syndromes, rapid diagnostic algortihms, 1101 Medical Biochemistry and Metabolomics, General Clinical Medicine
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Ann Clin Biochem
ISSN: 1758-1001
Language: eng
Dates:
DateEvent
January 2023Published
15 May 2022Published Online
27 April 2022Accepted
Publisher License: Publisher's own licence
PubMed ID: 35491935
Web of Science ID: WOS:000798757600001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/114405
Publisher's version: https://doi.org/10.1177/00045632221100347

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