MODEL FOR PREDICTING THE DEVELOPMENT OF LYME ARTHRITIS IN PATIENTS WITH ERYTHEMA MIGRANS

Authors

DOI:

https://doi.org/10.11603/1811-2471.2025.v.i4.15809

Keywords:

Lyme arthritis, erythema migrans, predictors of development, prognosis, multifactorial model

Abstract

SUMMARY. The aim – to propose a model for predicting the development of Lyme arthritis (MPDLA) in patients with erythema migrans, based on the presence of certain predictors.

Material and Methods. 51 patients with EM were examined. There were less men than women – 31.4 % versus 68.6 %, respectively, p<0.05. Patients were aged 18 to 66 years. Lyme borreliosis (LB) was diagnosed based on characteristic clinical and epidemiological data, in accordance with the recommendations of the current Standard of Medical Care “Lyme Disease.” A two-step method (ELISA and immunoblot) was used to detect specific IgM and/or IgG to B. burgdorferi s. l. in blood serum. The results were analyzed in accordance with the test system manufacturer's recommendations. The results obtained were calculated using parametric and nonparametric statistical methods with the calculation of Student's and Pearson's criteria using the computer programs “Microsoft Office Excel” and “STATISTICA”. Regression MPRLA was constructed using established predictors of Lyme arthritis development.

Results. To build a model for predicting the possibility of Lyme arthritis in ME patients, we used: patient age – X2; the location of tick bites – X5; the presence of serum antibodies of class M to: native flagellin p41 – X8, highly purified recombinant highly specific dimeric OspC (p25) Bb and Bsp – X11 and X13, respectively. A multivariate regression model was constructed taking into account the five reliable factors mentioned above, which have the most significant impact on MPDLA in patients with ME.

The reliability of the results obtained was assessed using Kruskal-Wallis one-way analysis of variance. An ANOVA analysis was performed to verify the acceptability of the model. A p-value of less than 0.05 was considered statistically significant. Based on the results obtained, a mathematical model was constructed to predict the development of Lyme arthritis in patients with ME.

Conclusions. For the first time, a model for predicting the future development of Lyme arthritis in patients with erythema migrans has been proposed. In patients with erythema migrans, the following predictors of the risk of developing Lyme arthritis have been reliably established: patient age, location of tick bites, presence of serum antibodies of class M to three Borrelia antigens: flagellin p41, highly purified recombinant highly specific dimeric OspC (p25) B. burgdorferi and B. spelmanii. Patients with erythema migrans are recommended to undergo two-stage serological diagnosis of LB to determine the factors of possible LB progression with the development of joint damage in the future.

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Published

2026-02-09

How to Cite

Humenna, R. O., Sverstiuk, A. S., Shkilna, M. I., & Ivahiv, O. L. (2026). MODEL FOR PREDICTING THE DEVELOPMENT OF LYME ARTHRITIS IN PATIENTS WITH ERYTHEMA MIGRANS. Achievements of Clinical and Experimental Medicine, (4), 62–70. https://doi.org/10.11603/1811-2471.2025.v.i4.15809

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Original research articles