Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19?

Sarangini Yoganandamoorthy1, M A D S N Munasinghe1, L V U Wanigasuriya1

  • 1Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 00800, Sri Lanka.

Medical Hypotheses
|December 1, 2020
PubMed

Insights

Assessing endothelial dysfunction using emerging technology may help identify COVID-19 patients at risk for severe complications. This approach could improve patient management and reduce healthcare burdens by enabling early intervention.

Area of Science:

  • Cardiovascular Medicine
  • Infectious Diseases
  • Biomedical Engineering

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has led to significant global health challenges and strained healthcare systems.
  • Endothelial dysfunction, a known complication of SARS-CoV-2 infection, is increasingly recognized as a key factor in COVID-19's high morbidity and mortality rates.
  • Early identification of patients likely to develop severe COVID-19 complications is crucial for effective management and resource allocation.

Purpose of the Study:

  • To review the potential of assessing endothelial dysfunction as a prognostic parameter for COVID-19 patients.
  • To explore how emerging non-invasive technologies for measuring endothelial dysfunction can aid in predicting cardiovascular risk in COVID-19.
  • To discuss the implications of this technology for patient prognostication and clinical management strategies.

Main Methods:

  • Review of current literature on COVID-19, endothelial dysfunction, and cardiovascular risk assessment.
  • Examination of emerging non-invasive technologies for measuring endothelial function.
  • Analysis of the potential application of these technologies in the context of COVID-19 patient management.

Main Results:

  • Endothelial dysfunction is a significant contributor to severe outcomes in COVID-19.
  • Non-invasive assessment of endothelial dysfunction shows promise in predicting cardiovascular risk.
  • This technology offers a potential tool for early prognostication in COVID-19 patients.

Conclusions:

  • Assessing endothelial dysfunction via emerging non-invasive technologies presents a valuable strategy for COVID-19 patient prognostication.
  • This approach can aid clinicians in identifying high-risk individuals, facilitating timely interventions.
  • Implementing such assessments may help optimize patient management and alleviate healthcare system burdens.

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