Validation of a 0-/2-Hour High-Sensitivity Cardiac Troponin Algorithm for Suspected Acute Coronary Syndrome in the

Dustin G Mark1,2,3, Jie Huang1, Keane K Lee1,4

  • 1Division of Research Kaiser Permanente Northern California Pleasanton CA USA.

Insights

This study shows a high-sensitivity cardiac troponin I algorithm effectively evaluates non-ST-elevation acute coronary syndrome in the ED. The algorithm demonstrates high accuracy, with minor reductions in predictive value for specific patient groups.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Diagnostic Algorithms

Background:

  • An integrated health system implemented a high-sensitivity cardiac troponin I (hs-cTnI) algorithm for emergency department (ED) evaluation of non-ST-segment-elevation acute coronary syndrome (NSTE-ACS).
  • This algorithm aims to streamline the diagnostic process for chest pain presentations in the ED.

Purpose of the Study:

  • To assess the performance of an hs-cTnI-based algorithm for NSTE-ACS evaluation in a large, integrated health system.
  • To determine the algorithm's accuracy, including sensitivity, specificity, and predictive values, across diverse patient subgroups.

Main Methods:

  • A retrospective study analyzed 104,025 adult ED encounters for chest pain between January 2023 and June 2024.
  • The study excluded ST-segment-elevation myocardial infarction and evaluated the primary outcome of 30-day myocardial infarction or death.
  • Subgroup analyses were conducted based on age, sex, coronary artery disease, chronic kidney disease, and ED disposition.

Main Results:

  • The algorithm demonstrated high overall performance, with 70% of encounters meeting rule-out criteria (sensitivity 95.4%, NPV 99.7%) and 7% meeting rule-in criteria (specificity 96.7%, PPV 60.2%).
  • Negative predictive value for rule-out criteria was slightly reduced in patients with stage 4+ chronic kidney disease (96.1%) and ischemic coronary artery disease (98.6%).
  • These reductions were largely mitigated by ED discharge disposition decisions, with NPVs of 98.4% and 99.1% respectively.

Conclusions:

  • The hs-cTnI-based NSTE-ACS evaluation algorithm exhibits excellent overall performance within the Kaiser Permanente Northern California system.
  • While NPV is modestly diminished in patients with ischemic coronary artery disease or advanced chronic kidney disease, the risk is effectively managed through ED discharge decisions.
Abstract

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