Incidence and 1-Year Prognostic of Unstable Angina After High-Sensitivity Troponin Assessment

Romain Jouen1, Pierre-Alain Meunier1, Lionel Moulis2

  • 1Department of Cardiology, University of Montpellier, Montpellier, France.

Insights

Unstable angina (UA) with significant coronary artery disease (CAD) is uncommon but carries a high 1-year cardiac event rate, primarily new acute coronary syndromes (ACS). Enhanced secondary prevention is vital for these patients.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Biomarkers

Background:

  • The prognostic implications of unstable angina (UA) diagnosed using high-sensitivity troponin (hs-cTn) assays remain debated.
  • Contemporary data on UA incidence and outcomes in patients with significant coronary artery disease (CAD) are limited.

Purpose of the Study:

  • To evaluate the prognosis of a contemporary patient cohort with UA, defined by hs-cTn measurements, and significant CAD.
  • To identify factors associated with major adverse cardiac events at 1-year follow-up.

Main Methods:

  • A prospective study included 210 patients with UA and significant CAD across two French university centers.
  • UA was defined by clinical symptoms and hs-cTn levels (undetectable, non-elevated, or mildly elevated).
  • The primary endpoint was major adverse events at 1-year, with secondary analysis of risk factors.

Main Results:

  • The incidence of UA with significant CAD was 12.0% (210/1752 patients), with predominantly male patients and a history of CAD in 46.6%.
  • At 1-year, 26.2% of patients experienced major adverse events, mainly new ACS (16.2%).
  • History of CAD, multivessel disease, and multiple risk factors were significantly associated with 1-year adverse events, not troponin levels.

Conclusions:

  • Unstable angina with significant CAD is infrequent but associated with a substantial 1-year risk of cardiac events, predominantly new ACS.
  • Improving secondary prevention strategies is critical for managing this high-risk patient group.
  • The study identified key predictors of adverse outcomes, guiding risk stratification.
Abstract

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