Algorithm for predicting the risk of developing long-Covid in patients with Covid-19

Authors

  • Andrii Voliansky Mechnikov Institute of Microbiology and Immunology of the National Academy of Medical Sciences of Ukraine , Ukraine
  • Maiia Smilianska Mechnikov Institute of Microbiology and Immunology of the National Academy of Medical Sciences of Ukraine , Ukraine
  • Tetiana Didorenko Mechnikov Institute of Microbiology and Immunology of the National Academy of Medical Sciences of Ukraine , Ukraine

DOI:

https://doi.org/10.5281/zenodo.8324965

Abstract

A model for predicting the risk of developing Long-covid in patients with Covid-19 is proposed for implementation in the practice of family doctors, pediatricians, therapists, clinical immunologists, and allergists. The essence of the implementation: creation of a model for predicting the risk of developing Long-covid by ranking the leading clinical and laboratory indicators, with the determination of their diagnostic informativeness and scoring, followed by the sum of the points inherent in the patient at the time of calculation.

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Published

2023-07-09

How to Cite

Voliansky , A., Smilianska, M. ., & Didorenko, T. . (2023). Algorithm for predicting the risk of developing long-Covid in patients with Covid-19. Annals of Mechnikov’s Institute, (3), 81–82. https://doi.org/10.5281/zenodo.8324965

Issue

No. 3 (2023)

Section

Research Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.