Ceruloplasmin, Catalase and Creatinine Concentrations Are Independently Associated with All-Cause Mortality in

Wiktoria Smyła-Gruca1, Wioletta Szczurek-Wasilewicz2, Michał Skrzypek3

  • 1Student's Scientific Society, 3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland.

Biomedicines
|March 28, 2024
PubMed

Insights

In advanced heart failure (HF), lower levels of ceruloplasmin and catalase, and higher creatinine predict one-year mortality. These oxidative balance markers offer significant prognostic insights for HF patients.

Area of Science:

  • Cardiology
  • Biochemistry
  • Biomarkers

Background:

  • The role of oxidative and antioxidative system imbalances in advanced heart failure (HF) remains incompletely understood.
  • Identifying reliable prognostic factors for one-year mortality in advanced HF is crucial for patient management.

Purpose of the Study:

  • To investigate factors associated with one-year mortality in advanced HF patients.
  • To specifically assess the prognostic value of oxidative/antioxidative balance parameters.

Main Methods:

  • Analysis of 85 advanced heart failure patients undergoing right heart catheterization.
  • Measurement of oxidative/antioxidative markers, including ceruloplasmin and catalase, from coronary sinus blood.
  • Multivariable logistic regression and ROC analysis to determine associations with one-year mortality.

Main Results:

  • One-year mortality rate was 40%.
  • Lower ceruloplasmin and catalase levels in coronary sinus blood, and higher creatinine levels in peripheral blood were independently associated with one-year mortality.
  • Catalase and ceruloplasmin demonstrated excellent prognostic power (AUC > 0.92), while creatinine showed acceptable power (AUC > 0.76).

Conclusions:

  • Imbalances in the oxidative/antioxidative system, specifically lower ceruloplasmin and catalase, are significant predictors of mortality in advanced HF.
  • Higher creatinine levels also independently predict mortality.
  • These biomarkers can effectively distinguish one-year survivors from non-survivors in advanced HF populations.

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