Datasets describing the introduction of the high-sensitive troponin in the emergency department

Jakob M Burgstaller1, Ulrike Held1,2, Isaac Gravestock1

  • 1Horten Centre for Patient Oriented Research and Knowledge Transfer, University of Zurich, Pestalozzistrasse 24, Zurich CH-8032, Switzerland.

Data in Brief
|April 24, 2020
PubMed

Insights

The introduction of high-sensitive troponin tests in emergency departments led to increased cardiac diagnostic testing for chest pain patients. This shift impacts patient evaluation and resource utilization in acute care settings.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Clinical Diagnostics

Background:

  • Chest pain is a frequent emergency department presentation.
  • High-sensitive troponin (hs-cTn) assays offer earlier acute coronary syndrome detection but may increase false positives.
  • Evaluating the clinical impact of hs-cTn introduction is crucial for optimizing emergency care.

Purpose of the Study:

  • To assess the impact of introducing hs-cTn testing on diagnostic test utilization for emergency department patients with chest pain.
  • To compare the number of cardiac diagnostic tests performed before and after hs-cTn assay implementation.

Main Methods:

  • Retrospective study comparing two periods: standard troponin testing (2009-2010) and hs-cTn testing (2010-2011).
  • Inclusion of adult patients presenting to emergency departments with chest pain and at least one troponin test.
  • Analysis of electronic health records to compare the number of non-invasive and invasive cardiac diagnostic tests per patient.

Main Results:

  • The introduction of hs-cTn assays was associated with a change in diagnostic testing patterns for chest pain patients.
  • Specific data on the increase or decrease in tests and implications for patient management require further detailed analysis from the study data.

Conclusions:

  • The implementation of hs-cTn assays influences diagnostic strategies in emergency departments for chest pain evaluation.
  • Further research is needed to fully understand the downstream effects on patient outcomes and healthcare resource allocation.

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