Algorithm for predicting the risk of tuberculosis in children with co-infection of tuberculosis and herpesvirus

Authors

  • Andrii Voliansky Mechnikov Institute of Microbiology and Immunology of the National Academy of Medical Sciences of Ukraine , Ukraine
  • Maiia Smilyanskaya 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
  • Lydia Sukhanova Educational and Scientific Institute of Postgraduate Education of Kharkiv National Medical University, Ukraine
  • Anatoly Zosymov Educational and Scientific Institute of Postgraduate Education of Kharkiv National Medical University, Ukraine
  • Tetiana Herasimova Educational and Scientific Institute of Postgraduate Education of Kharkiv National Medical University, Ukraine

DOI:

https://doi.org/10.5281/zenodo.8324971

Abstract

Algorithm for predicting the risk of developing tuberculosis in children with tuberculosis (TB) and herpesvirus co-infection, the essence of which is the ranking of the leading laboratory indicators with the determination of their diagnostic informativeness and risk coefficients (CR), followed by the addition of the sum of the CR points that the patient has at the time of calculation.

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Published

2023-07-09

How to Cite

Voliansky , A. ., Smilyanskaya, M. ., Didorenko , T. ., Sukhanova, L. ., Zosymov, A. ., & Herasimova, T. . (2023). Algorithm for predicting the risk of tuberculosis in children with co-infection of tuberculosis and herpesvirus. Annals of Mechnikov’s Institute, (3), 83–84. https://doi.org/10.5281/zenodo.8324971

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.