Cardiac troponin T as a predictor of cardiac death in patients with left ventricular dysfunction

Hironori Nakamura1, Shinichi Niwano1, Hidehira Fukaya1

  • 1Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.

Journal of Arrhythmia
|October 13, 2017
PubMed

Insights

Routine cardiac troponin T (cTnT) assessment predicts cardiac death in patients with left ventricular (LV) dysfunction. Higher cTnT levels indicate increased risk, even in non-ischemic conditions.

Area of Science:

  • Cardiology
  • Biomarkers
  • Clinical Prediction

Background:

  • Cardiac troponin T (cTnT) is linked to cardiac mortality.
  • The predictive value of routine cTnT assessment in patients with left ventricular (LV) dysfunction requires further evaluation.

Purpose of the Study:

  • To assess the role of routine cardiac troponin T (cTnT) levels as a predictor of future cardiac death.
  • To investigate the association between cTnT levels and cardiac mortality in patients with LV dysfunction eligible for prophylactic implantable cardioverter defibrillator (ICD).

Main Methods:

  • Patients with LV ejection fraction ≤ 35% and NYHA class ≥ II were analyzed.
  • Patients were stratified into low, intermediate, and high cTnT groups based on serum levels.
  • Cardiac death was the primary endpoint, assessed over a 2.2-year follow-up period.

Main Results:

  • Seventeen cardiac deaths occurred in 70 patients over 2.2 years.
  • Kaplan-Meier analysis revealed a significantly higher risk of cardiac death in the high cTnT group (p<0.001).
  • This association persisted in sub-analyses of both ischemic and non-ischemic patient groups; no deaths occurred in the low cTnT group.

Conclusions:

  • Stable state cardiac troponin T (cTnT) levels are associated with cardiac death risk in patients with LV dysfunction.
  • This predictive relationship holds true even for patients with non-ischemic heart conditions.
  • Routine cTnT measurement can aid in risk stratification for cardiac events in this patient population.
Abstract

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