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High-Sensitivity Cardiac Troponin-Based Strategies for the Assessment of Chest Pain Patients—A Review of Validation and Clinical Implementation Studies
Author(s) -
Kai M. Eggers,
Tomas Jernberg,
Lina Ljung,
Bertil Lindahl
Publication year - 2018
Publication title -
clinical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.705
H-Index - 218
eISSN - 1530-8561
pISSN - 0009-9147
DOI - 10.1373/clinchem.2018.287342
Subject(s) - chest pain , medicine , myocardial infarction , troponin , intensive care medicine
BACKGROUND The introduction of high-sensitivity cardiac troponin (hs-cTn) assays has improved the early assessment of chest pain patients. A number of hs-cTn-based algorithms and accelerated diagnostic protocols (ADPs) have been developed and tested subsequently. In this review, we summarize the data on the performance and clinical utility of these strategies. CONTENT We reviewed studies investigating the diagnostic and prognostic performance of hs-cTn algorithms [level of detection (LoD) strategy, 0/1-h, 0/2-h, and 0/3-h algorithms) and of hs-cTn-based ADPs, together with the implications of these strategies when implemented as clinical routine. The LoD strategy, when combined with a nonischemic electrocardiogram, is best suited for safe rule-out of myocardial infarction and the identification of patients eligible for early discharge from the emergency department. The 0/1-h algorithms appear to identify most patients as being eligible for rule-out. The hs-cTn-based ADPs mainly focus on prognostic assessment, which is in contrast with the hs-cTn algorithms. They identify smaller proportions of rule-out patients, but there is increasing evidence from prospective studies on their successful clinical implementation. Such information is currently lacking for hs-cTn algorithms. CONCLUSIONS There is a trade-off between safety and efficacy for different hs-cTn-based strategies. This trade-off should be considered for the intended strategy, along with its user-friendliness and evidence from clinical implementation studies. However, several gaps in knowledge remain. At present, we suggest the use of an ADP in conjunction with serial hs-cTn results to optimize the early assessment of chest pain patients.

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