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Mathematical modeling of differential diagnosis of tick-borne infections in children

https://doi.org/10.22627/2072-8107-2025-24-3-11-14

Abstract

Objective: to study the anamnestic and clinical-laboratory features of the course of tick-borne infections in hospitalized patients aged 2 to 14 years with an assessment of their prognostic ability. 
Materials and methods. The study involved 66 children aged 2 to 14 years, hospitalized for tick-borne encephalitis (TBE) or ixodid tick-borne borreliosis. We studied the anamnesis, carried out a set of serological and molecular biological methods to assess the specific immune response of patients and tick infestation. 
Results. In the group of children with tick-borne encephalitis, the meningeal form of the disease was established in 74.3% (26/35) of children, febrile in 17.1% (6/35), inapparent in 5.7% (2/35) and subclinical in 2.9% (1/35) of children. In children with tick-borne borreliosis, the erythema form of the disease was noted in 58% (18/31) of patients, while the remaining 42% (13.31) had a non-erythema form. It was found that the time period from the tick bite to the onset of clinical manifestations did not have reliable differences in the groups: in patients with tick-borne encephalitis it was 14 days (IQR 4.5; 17), and in patients with tick-borne borreliosis — 12 days (IQR 6.5; 16), p = 0.670. A history of tick bite in the anamnesis was noted in 59/66 cases (89.3%), but a tick study using PCR was performed only in 25/66 (37.8%) people: in 14/25 (56%) cases, RNA of the tick-borne encephalitis virus was detected, in the remaining cases — exclusively Borrelia DNA or a combination of pathogens. Mathematical modeling has determined prognostic criteria that determine with high probability the course of tick-borne encephalitis in a patient: leucocyte, neutrophils, lymphocytes blood count, the values of the enzymes ALT and AST. 
Conclusions. A formula has been obtained that is a convenient tool for rapid assessment of the risk of tick-borne encephalitis, based exclusively on laboratory data. This is especially relevant in endemic regions where rapid differentiation of TBE from other tick-borne infections, such as ixodid tick-borne borreliosis.

About the Authors

A. V. Permyakova
E.A. Vagner Perm State Medical University
Russian Federation


N. S. Pospelova
E.A. Vagner Perm State Medical University
Russian Federation


K. S. Korotaeva
E.A. Vagner Perm State Medical University
Russian Federation


I. E. Berber
E.A. Vagner Perm State Medical University
Russian Federation


E. S. Sedova
E.A. Vagner Perm State Medical University
Russian Federation


References

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For citations:


Permyakova A.V., Pospelova N.S., Korotaeva K.S., Berber I.E., Sedova E.S. Mathematical modeling of differential diagnosis of tick-borne infections in children. CHILDREN INFECTIONS. 2025;24(3):11-14. (In Russ.) https://doi.org/10.22627/2072-8107-2025-24-3-11-14

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ISSN 2072-8107 (Print)
ISSN 2618-8139 (Online)