Plasma advanced oxidation products as an additional tool in assessment of post-infarction heart failure

Tatjana Cvetkovic1,2, Sandra Saric3, Nikola Stefanovic4

  • 1Institute of Biochemistry, Medical Faculty, University of Nis, Nis, Serbia.

Insights

Advanced oxidation protein products (AOPP) show potential as a diagnostic marker for post-infarction heart failure (HF), particularly in patients with preserved ejection fraction. Further research can validate AOPP

Area of Science:

  • Cardiology
  • Biochemistry
  • Biomarkers

Background:

  • Heart failure (HF) post-myocardial infarction is a significant clinical challenge.
  • Oxidative stress plays a crucial role in the pathophysiology of post-infarction HF.
  • Identifying reliable diagnostic tools for HF assessment is critical.

Purpose of the Study:

  • To evaluate oxidative stress markers as potential diagnostic tools for post-infarction heart failure (HF).
  • To determine the association between specific oxidative stress markers and HF severity, categorized by ejection fraction (EF).

Main Methods:

  • Observational study involving 81 HF patients across EF subgroups (≥50%, 40-49%, <40%) and 68 healthy controls.
  • Measurement of plasma advanced oxidation protein products (AOPP), thiobarbituric acid reactive substances, catalase activity, and free thiols.
  • Statistical analyses including logistic regression and receiver operating characteristic (ROC) curve analysis.

Main Results:

  • Significant differences in oxidative stress markers were observed between HF patients and controls.
  • AOPP levels were significantly higher in HF patients with EF <40%.
  • AOPP showed a significant association with HF in the EF ≥50% group, with an identified cut-off value of 60.89 µmol/l.

Conclusions:

  • Advanced oxidation protein products (AOPP) may serve as a valuable additional diagnostic tool for assessing post-infarction heart failure.
  • The findings suggest AOPP is particularly relevant for HF assessment in patients with preserved ejection fraction (EF ≥50%).
  • ROC curve analysis supports the utility of AOPP in HF diagnosis.
Abstract

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