Prognostic Value of Undetectable hs Troponin T in Suspected Acute Coronary Syndrome

Mehrshad Vafaie1, Anna Slagman2, Martin Möckel2

  • 1Department of Angiology, Cardiology and Pneumology, University Hospital of Heidelberg, Heidelberg, Germany.

Insights

For patients with suspected acute coronary syndrome, undetectable high-sensitivity troponin T (hsTnT) levels at emergency department admission indicate a safe discharge. This finding supports avoiding unnecessary hospitalizations for low-to-intermediate-risk individuals.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Biomarkers

Background:

  • Ongoing need for safe and early discharge strategies for patients with suspected acute coronary syndrome (ACS) in emergency departments.
  • Evaluation of high-sensitivity troponin T (hsTnT) utility in low-to-intermediate-risk ACS patients.
  • Focus on hsTnT levels relative to the limit of detection (LoD).

Purpose of the Study:

  • To assess the diagnostic and prognostic value of hsTnT levels at emergency department admission.
  • To determine if undetectable hsTnT can safely rule out adverse cardiac events.
  • To evaluate the combined use of hsTnT and copeptin in risk stratification.

Main Methods:

  • Prospective substudy (BIC-8) of low-to-intermediate-risk patients with suspected ACS.
  • Categorization of patients based on hsTnT levels: ≥99th percentile, between 99th percentile and LoD, or
  • Measurement of hsTnT and copeptin at admission; primary endpoint: death or myocardial infarction within 90 days.

Main Results:

  • Among 882 patients, 305 (34.6%) had undetectable hsTnT (
  • In patients with detectable hsTnT (≥LoD), 1.5% of copeptin-negative and 6.3% of copeptin-positive individuals experienced the primary endpoint.
  • Elevated hsTnT with positive copeptin showed a higher risk (HR 4.39), though not statistically significant in all subgroups.

Conclusions:

  • Undetectable hsTnT levels (
  • This biomarker strategy can help avoid unnecessary hospitalizations and reduce healthcare costs.
  • Further research may refine risk stratification using combined biomarkers.
Abstract

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