BACKGROUND: The introduction of high-sensitivity cardiac troponin (hs-cTn) assays has improved the early assessment of chest pain patients. A number of hs-cTnbased 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 tradeoff 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.
CITATION STYLE
Eggers, K. M., Jernberg, T., Ljung, L., & Lindahl, B. (2018, November 1). High-Sensitivity cardiac troponin-based strategies for the assessment of chest pain patients-a review of validation and clinical implementation studies. Clinical Chemistry. American Association for Clinical Chemistry Inc. https://doi.org/10.1373/clinchem.2018.287342
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