Algorithm for laboratory diagnostics of parvoviral infection in risk groups

I V Khamitova1, I N Lavrentieva1, A V Semenov2

  • 1Saint-Petersburg Pasteur Institute.

Insights

Parvovirus infection (PVI) testing algorithms are proposed for HIV-infected, stem cell transplant, and malaria patients. These tailored diagnostics aid in predicting severe disease and guiding timely therapy for parvovirus B19 infection.

Area of Science:

  • Virology
  • Immunology
  • Hematology

Background:

  • Parvovirus infection (PVI) is a widespread viral illness with diverse transmission routes.
  • Parvovirus B19 (PVB19) specifically targets erythropoietic cells, posing risks to immunocompromised individuals, particularly those with hematological conditions.

Purpose of the Study:

  • To develop and propose specific algorithms for laboratory testing of PVI in distinct individual risk groups.
  • To tailor PVI diagnostics based on the unique presentation and risk factors within each group.

Main Methods:

  • Analysis of own research data and published literature on PVI.
  • Development of risk-group-specific diagnostic algorithms for PVI.
  • Identification of key clinical or laboratory markers for initiating PVI testing in target populations.

Main Results:

  • Algorithms were proposed for HIV-infected patients (persistent anemia), oncohematological patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT), and patients with parasitic anemia (age as a criterion for co-infected children).
  • These algorithms leverage specific patient parameters to guide PVI testing decisions.

Conclusions:

  • The proposed PVI diagnostic algorithms can aid in predicting severe disease courses associated with PVB19 infection in at-risk populations.
  • Timely and targeted PVI testing facilitates appropriate therapeutic interventions.

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