EFFICACY OF SUPPLEMENTAL HEMOADSORPTION THERAPY ON SEVERE AND CRITICAL PATIENTS WITH COVID-19: AN EVIDENCE-BASED

Junbing He1, Yao Lin1, Weiming Cai1

  • 1Jieyang Medical Research Center, Jieyang People's Hospital, Jieyang, China.

Shock (Augusta, Ga.)
|August 7, 2023
PubMed

Insights

Hemoadsorption therapy (HAT) significantly reduces mortality in severe COVID-19 patients by removing cytokines. However, its benefit is not observed in patients requiring extracorporeal membrane oxygenation (ECMO) support.

Area of Science:

  • Critical Care Medicine
  • Infectious Diseases
  • Biomedical Engineering

Background:

  • Severe COVID-19 can cause life-threatening hyperinflammation and tissue damage via a cytokine storm.
  • Extracorporeal hemoadsorption therapy (HAT) is explored to mitigate these effects, but its efficacy remains debated.
  • Existing research presents conflicting evidence on the benefits of supplemental HAT in severe COVID-19 cases.

Approach:

  • A systematic review and meta-analysis of randomized controlled trials and observational studies was conducted.
  • Searched Cochrane Library, Embase, and PubMed databases up to August 20, 2022.
  • Analyzed data from 648 patients with severe COVID-19 to assess mortality and cytokine levels.

Key Points:

  • Supplemental HAT significantly improved mortality rates in severe COVID-19 patients compared to conventional therapy (RR = 0.74).
  • HAT demonstrated significant mortality reduction in patients not on ECMO support (RR = 0.59) but not in those requiring ECMO (RR = 1.61).
  • HAT effectively removed IL-6 (SMD = 0.46), with trends for C-reactive protein and IL-8 removal.

Conclusions:

  • HAT offers clinical benefits for severe COVID-19 patients, primarily through cytokine removal, leading to improved mortality outcomes.
  • The use of cytokine adsorption via HAT should be approached with caution in severe COVID-19 patients requiring ECMO.
  • Further large-scale, multicenter randomized trials are necessary to validate these findings due to the low quality of existing evidence.