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Prediction of severity of hemorrhagic fever with renal syndrome

https://doi.org/10.22625/2072-6732-2019-11-2-35-39

Abstract

The aim is to develop a method of early prediction of the severity of hemorrhagic fever with renal syndrome on the basis of clinical and laboratory data.

A comprehensive clinical and laboratory examination of 144 patients with hemorrhagic fever with renal syndrome was carried out in the period of 2–5 days from the onset of the disease. Based on the discriminant analysis of the data obtained, a discriminant model for predicting the severity of hemorrhagic fever with renal syndrome was developed. The index of accuracy of prognosis of clinical forms of the disease on the basis of the developed discriminant model is 97.4%.

About the Authors

A. V. Lyubushkina
Samara State Medical University
Russian Federation
Samara


L. L. Popova
Samara State Medical University
Russian Federation
Samara


G. V. Nedugov
Samara Regional Bureau of forensic medical examination
Russian Federation
Samara


D. Yu. Konstantinov
Samara State Medical University
Russian Federation
Samara


M. V. Stulova
Samara State Medical University
Russian Federation
Samara
Competing Interests:

Стулова Мария Владимировна – ассистент кафедры инфекционных болезней с курсом эпидемиологии 

Самара

 



References

1. Osobennosti sovremennogo techeniya srednetyazhelyh form gemorragicheskoj li-horadki s pochechnym sindromom v Samarskoj oblasti / Lyubushkina A.V., Stulova M.V., Konstantinov D.YU., Popova L.L. // Evrazijskij soyuz uchenyh. – 2018. – № 4-2. – S. 47-50.

2. Klinicheskie osobennosti gemorragicheskoj lihoradki s pochechnym sindromom v Rossii / Morozov V.G., Ishmuhametov A.A., Dzagurova T.K., Tkachenko E.A. // Medicinskij sovet. – 2017. – № 5. – S. 156-61.


Review

For citations:


Lyubushkina A.V., Popova L.L., Nedugov G.V., Konstantinov D.Yu., Stulova M.V. Prediction of severity of hemorrhagic fever with renal syndrome. Journal Infectology. 2019;11(2):35-39. (In Russ.) https://doi.org/10.22625/2072-6732-2019-11-2-35-39

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ISSN 2072-6732 (Print)