sST2 levels and 3D speckle tracking as predictors of CAD severity in chronic coronary syndrome

Amr Setouhi1, K Maghraby1, Nasser Taha1

  • 1Department of Cardiology, Faculty of Medicine, Minia University, Minya, Egypt.

Insights

Soluble ST2 (sST2) levels, along with GLS, GAS, and GCS from 3D speckle-tracking echocardiography, effectively predict coronary artery disease (CAD) severity in chronic coronary syndrome patients.

Area of Science:

  • Cardiology
  • Biomarkers
  • Diagnostic Imaging

Background:

  • Previous research on soluble ST2 (sST2) primarily focused on heart failure prediction.
  • The correlation between sST2 levels and complex coronary lesion morphology via coronary angiography (CAG) remains inconclusive.
  • Investigating sST2 and 3D speckle-tracking echocardiography for predicting coronary artery disease (CAD) severity is crucial.

Purpose of the Study:

  • To evaluate the predictive value of sST2 levels for CAD severity in patients with chronic coronary syndrome (CCS).
  • To assess the utility of 3D speckle-tracking echocardiography parameters (GLS, GAS, GCS) in predicting CAD severity.
  • To correlate these markers with the Gensini score in CCS individuals.

Main Methods:

  • A prospective cohort study involving 90 participants with stable angina pectoris.
  • Participants were categorized into control, simple lesion (Gensini score < 20), and complex lesion (Gensini score ≥ 20) groups.
  • Plasma sST2 levels were measured using ELISA, alongside 3D speckle-tracking echocardiography assessments.

Main Results:

  • GLS, GAS, GCS, and sST2 levels significantly predicted CAD severity in CCS patients (P < 0.001).
  • High accuracy was observed for GLS (83.33%), GAS (88.89%), and GCS (77.78%) in predicting CAD severity.
  • sST2 demonstrated a predictive value with an AUC of 0.702 (95% CI: 0.597-0.794).

Conclusions:

  • sST2 levels, GLS, GAS, and GCS are significant predictors of CAD severity in CCS.
  • These markers offer valuable insights into the complexity of coronary artery lesions.
  • The findings support the use of sST2 and echocardiographic parameters in managing CCS.
Abstract

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