The COVID-19 Pandemic: Disproportionate Thrombotic Tendency and Management Recommendations

Sabina Karim1, Amin Islam2,3,4, Shafquat Rafiq5

  • 1Department of Paediatric Haematology and Oncology, National Institute of Cancer Research and Hospital, Mohakhali, Dhaka 1212, Bangladesh.

Insights

COVID-19 infection increases thrombosis risk due to inflammation and coagulopathy. This review covers laboratory findings, thromboembolic events, and treatments for COVID-19 associated coagulopathy.

Area of Science:

  • Infectious Diseases
  • Hematology
  • Critical Care Medicine

Background:

  • COVID-19, caused by SARS-CoV-2, presents a significant risk of thrombosis.
  • Pathological mechanisms include excessive inflammation, platelet activation, endothelial dysfunction, and circulatory stasis.
  • Coagulopathy in COVID-19 patients elevates mortality risk.

Purpose of the Study:

  • To review laboratory findings in COVID-19 associated coagulopathy.
  • To summarize the prohemostatic state and incidence of thromboembolic events.
  • To explore potential therapeutic interventions and the role of biomarkers.

Main Methods:

  • Literature review focusing on laboratory findings, clinical outcomes, and therapeutic strategies.
  • Exploration of biomarkers for thrombosis and inflammation in relation to COVID-19 severity.
  • Analysis of challenges in managing antithrombotic therapy for patients with pre-existing conditions.

Main Results:

  • COVID-19 patients exhibit a prothrombotic state with increased risk of thromboembolic events.
  • Biomarkers of thrombosis and inflammation correlate with disease severity.
  • Empirical anticoagulation in severe cases without thrombosis requires careful consideration against evidence-based trials.

Conclusions:

  • COVID-19 associated coagulopathy is a complex condition requiring careful management.
  • Antithrombotic therapy needs individualized adjustments, especially in patients with pre-existing thrombotic diseases.
  • Further research and evidence-based guidelines are crucial for optimizing patient care.

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