Inflammatory Biomarkers and Clinical Outcomes in Hospitalized Patients with COVID-19 and Pre-Existing Heart Failure:

Maria-Laura Craciun1, Adina Cristiana Avram2, Ana-Maria Pah1

  • 1Cardiology Department, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

Insights

Patients with heart failure (HF) hospitalized with COVID-19 face higher mortality risks, partly due to inflammation. Interleukin-6 (IL-6) is a key biomarker predicting poor outcomes in these vulnerable patients.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Patients with pre-existing heart failure (HF) are vulnerable during acute illnesses like COVID-19.
  • Systemic inflammation links cardiovascular issues and infection-related organ dysfunction.
  • The prognostic value of inflammatory markers in COVID-19 patients with HF is not fully understood.

Purpose of the Study:

  • To assess the association between inflammatory biomarkers and clinical outcomes in hospitalized COVID-19 patients with pre-existing HF.
  • To identify predictors of sepsis and in-hospital mortality in this high-risk group.

Main Methods:

  • Retrospective cohort study of 395 adult COVID-19 patients.
  • 143 patients (36.2%) had pre-existing HF.
  • Measured inflammatory biomarkers (CRP, IL-6, procalcitonin, D-dimer) at admission.
  • Used multivariable logistic regression to identify predictors of sepsis and mortality.

Main Results:

  • HF patients had higher in-hospital mortality (11.9% vs. 4.8%) and higher admission IL-6 levels.
  • IL-6 was an independent predictor of mortality (adjusted OR 1.38) after multivariable adjustment.
  • Elevated IL-6 and procalcitonin were independently associated with sepsis development.

Conclusions:

  • Pre-existing HF increases adverse outcomes risk in COVID-19 patients, mediated partly by inflammation.
  • Interleukin-6 is a crucial biomarker linking cardiovascular vulnerability, immune response, and clinical decline.
  • Inflammation-based risk stratification may improve prognosis and guide personalized care for high-risk cardiovascular patients.

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