Prognostic Value of Cardiovascular Biomarkers in COVID-19: A Review

Maryam Aboughdir1,2, Thomas Kirwin1,3, Ashiq Abdul Khader1

  • 1Department of Medicine, Imperial College London, London W12 0NN, UK.

Viruses
|May 15, 2020
PubMed

Insights

This review identifies cardiovascular prognostic factors for COVID-19 patients, highlighting biomarkers for cardiac injury and coagulation to predict outcomes and optimize care for those with cardiovascular disease.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Biomarkers

Background:

  • COVID-19, caused by SARS-CoV-2, emerged in late 2019 with significant global impact.
  • Hospitalized COVID-19 patients frequently have pre-existing cardiovascular disease (CVD).
  • COVID-19 can worsen cardiovascular risk factors, existing CVD, and lead to complications.

Purpose of the Study:

  • To identify cardiovascular prognostic factors linked to morbidity and mortality in COVID-19.
  • To explore the role of cardiac injury and coagulation biomarkers in predicting COVID-19 outcomes.
  • To guide the use of laboratory testing for cardiovascular biomarkers to improve patient management.

Main Methods:

  • Literature review of studies on COVID-19 and cardiovascular outcomes.
  • Analysis of preliminary findings associating biomarkers with prognosis.
  • Synthesis of evidence on cardiovascular risk factors and complications in COVID-19 patients.

Main Results:

  • Preliminary data suggest biomarkers of acute cardiac injury and coagulation are associated with worse prognosis in COVID-19.
  • Patients with pre-existing CVD or risk factors appear to be at higher risk for adverse outcomes.
  • The review consolidates evidence on key cardiovascular prognostic indicators.

Conclusions:

  • Identifying patients at increased risk of adverse outcomes is crucial during the COVID-19 pandemic.
  • Cardiovascular prognostic factors and biomarkers are vital for managing COVID-19 patients, especially those with comorbidities.
  • Incorporating biomarker testing can optimize patient outcomes and inform clinical decision-making.

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