COVID-19 and Parasitic Co-Infection: A Hypothetical Link to Pulmonary Vascular Disease

Peter S Nyasulu1, Jacques L Tamuzi1, Rudolf K F Oliveira1

  • 1Division of Epidemiology & Biostatistics, Department of Global Health, Faculty of Medicine & Health Sciences, Stellenbosch University, France Van Zijl Drive, Tygerberg, Cape Town 7505, South Africa.

PubMed

Insights

COVID-19 and parasitic co-infections may increase the risk of pulmonary vascular disease (PVD). Further research is needed to understand the complex pathophysiological links and future impact on PVD mortality and morbidity.

Area of Science:

  • Medical Research
  • Infectious Diseases
  • Pulmonology

Background:

  • Pulmonary arterial hypertension (PAH) prevalence was historically low (0.4-1.4 per 100,000).
  • COVID-19 and its co-infections may elevate the risk of pulmonary vascular disease (PVD).
  • Preliminary data suggests 22% of severe COVID-19 patients may develop PVD, but predictive value is unknown.

Purpose of the Study:

  • To review the potential link between COVID-19, parasitic co-infections, and PVD.
  • To explore hypothetical pathophysiological mechanisms connecting these conditions.
  • To assess the potential future impact of PVD on mortality and morbidity.

Main Methods:

  • Systematic literature review (SLR) of peer-reviewed articles.
  • Focused on studies linking COVID-19, parasitic co-infection, and PVD.
  • Included analysis of hypothetical pathophysiological pathways.

Main Results:

  • Hypothesized that various pathogens (schistosomiasis, HIV, PTB, etc.) combined with COVID-19 could increase PVD burden.
  • Identified potential for worsened PVD mortality and morbidity in the future.
  • Highlighted understudied nature of PVD from COVID-19 co-infections.

Conclusions:

  • COVID-19 and parasitic co-infections may synergistically contribute to PVD development and progression.
  • Further experimental studies are crucial to elucidate the precise pathophysiological mechanisms.
  • Understanding these pathways is vital for predicting and managing future PVD cases.

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