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Predictive value of complete blood count for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis

https://doi.org/10.22625/2072-6732-2022-14-4-69-76

Abstract

Objective: is to develop a model for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis using the assessment of the complete blood count and the blood leukocyte indices of patients in the first week of the disease.

Materials and methods. The retrospective clinical study involved Group 1 of 27 patients with the mixed infection of the non-erythema migrans form of Lyme borreliosis and the febrile form of tick-borne encephalitis and Group 2 of 29 patients with the monoinfection of the non-erythema migrans form of Lyme borreliosis, who were hospitalized no later than in the 7th day of the disease. The average age of patients in Groups 1 and 2 was 50.6±3.4 and 49.9±2.3. We analyzed 14 parameters of the complete blood count as well as calculated the leukocyte intoxication index and the body resistance index. Statistical significance assessment was carried out using the chi-square test and ROC analysis. Logistic regression model was developed using STATISTICA 12.0 modules.

Results. The levels of the band and polymorphonuclear neutrophils (<0,001 и p=0,002) and the leukocyte intoxication index (p<0,001) were significantly higher and the levels of the body resistance index (p<0.001), lymphocytes (p<0.001) and platelets (p=0.004) were lower in Group 1 than in Group 2. Informative predictors of mixed infection included the body resistance index (AUC=0.77), leukocyte intoxication index (AUC=0.75), the band and polymorphonuclear neutrophils (AUC=0.74), lymphocytes (AUC=0.77), and platelets (AUC=0.70). Logistic regression model has a “very good” predictive value (AUC=0.85) and include two parameters: body resistance index and platelets (×109/L).

Conclusion. The developed model has a “very good” predictive value for early diagnosis of the mixed infection of the non-erythema migrans form of Lyme borreliosis and tickborne encephalitis before laboratory diagnosis confirmation.

 

About the Authors

E. N. Ilyinskikh
Siberian State Medical University; National Research Tomsk State University
Russian Federation

Tomsk



E. N. Filatova
Siberian State Medical University
Russian Federation

Tomsk



Yu. I. Bulankov
Military Medical Аcademy named after S.M. Kirov
Russian Federation

Saint-Petersburg



V. N. Nekrasov
Military Medical Аcademy named after S.M. Kirov
Russian Federation

Saint-Petersburg



A. V. Reshetova
Siberian State Medical University
Russian Federation

Tomsk



E. V. Portnyagina
Siberian State Medical University
Russian Federation

Tomsk



S. V. Aksyonov
Siberian State Medical University
Russian Federation

Tomsk



O. V. Voronkova
Siberian State Medical University
Russian Federation

Tomsk



E. A. Motlokhova
Siberian State Medical University
Russian Federation

Tomsk



I. N. Ilyanova
Siberian State Medical University
Russian Federation

Tomsk



References

1. Rudakova SA, Pen’evskaya NA, Blokh AI, et al. Review of the epidemiological situation on ixodic tick-borne borreliosis in the Russian Federation in 2010-2020 and prognosis for 2021. Problemy osobo opasnykh infektsiy. 2021; 2: 52-61. (In Russ.) DOI: 10.21055/0370-1069-2021-2-52-61

2. Timonin AV, Shirokostup SV. Retrospective analysis of the incidence of tick-borne encephalitis in the Siberian Federal District. Universum: meditsina i farmakologiya. 2021; 11(82): 19-20. (In Russ.) DOI: 10.32743/UniMed.2021.82.11.12408

3. Poltoratskaya NV, Poltoratskaya TN, Pankina TM, et al. Analysis of the epidemiological situation on tick-borne encephalitis and ixodid tick-borne borreliosis in Tomsk region. Meditsinskaya parazitologiya i parazitarnye bolezni, 2021; (1): 9-15. (In Russ.) DOI:10.33092/0025-8326mp2021.1.9-15

4. Minoranskaya NS, Minoranskaya EI. Clinical and epidemiologic characteristics of Lyme borreliosis and tick-borne encephalitis mixed infection in Krasnoyarsk kray. Kazanskiy meditsinskiy zhurnal. 2013; 94(2): 211-215. (In Russ.) URL: https://kazanmedjournal.ru/kazanmedj/article/view/1591/1208

5. Andronova NV, Minoranskaya NS, Minoranskaya EI. The specific immune response and some remote results in the acute course of tick-borne borreliosis and mixed-infection of tick-borne encephalitis and tick-borne borreliosis. Sibirskiy meditsinskiy zhurnal (Irkutsk). 2011; 100 (1): 54-57. (In Russ.) URL: https://smj.ismu.baikal.ru/index.php/osn/issue/view/53/2011-1

6. Bondarenko AL, Sapozhnikova VV. Analysis of clinicalepidemiological, laboratory parameters and cytokine status in patients with erythematous and non-erythematous forms of ixodes tick borreliosis. Infektsionnye bolezni. 2018; 16(2): 34-42. (In Russ.) DOI: 10.20953/1729-9225-2018-2-34-42

7. Murzabayeva RT, Sharifullina LD, Mavzyutov AR, et al. Ixodic tick-borne borreliosis: clinical and laboratory features. Klinicheskaya laboratornaya diagnostika. 2018; 63(11): 711-716. (In Russ.) DOI: http://dx.doi.org/10.18821/0869-2084-2018-63-11-711-716

8. Minoranskaya NS. The clinical course and adaptation reactions in acute ixodes tick-borne borrelioses in the Krasnoyarsk region. Infektsionnye bolezni. 2014; 12(1): 39-44. (In Russ.) URL: https://www.elibrary.ru/download/elibrary_21476192_78872964.pdf

9. Amosov ML, Lesnyak OM, Obraztsova RG, et al. Clinical characteristics of tick-borne encephalitis in combination with Lyme borreliosis. Voprosy virusologii. 2000; 45(3): 25-28. (In Russ.)

10. Bondarenko AL, Zykova IV, Abbasova SV, et al. Mixed infection of tick-borne encephalitis and Ixodes tick-borne borrelioses. Infektsionnye bolezni. 2011; 9 (4): 54-63. (In Russ.) URL: https://elibrary.ru/download/elibrary_17311031_68512856.pdf

11. Minoranskaya NS, Sarap PV, Andronova NV, et al. Clinical and laboratory predictors for forecasting the outcomes of ixodes tick-borne borreliosis. Vestnik RAMN. 2015; 70 (3): 378-385. (In Russ.) DOI: 10.15690/vramn.v70i3.1337

12. Shroff G, Hopf-Seidel P. A novel scoring system approach to assess patients with Lyme disease (Nutech Functional Score). J Glob Infect Dis. 2018; 10(1): 3-6. DOI: 10.4103/jgid.jgid_11_17

13. Lobzin YuV, Uskov AN, Kozlov SS. Lyme borreliosis: ixodid tick-borne borreliosis. St. Peterburg: Foliant; 2000: 156 (In Russ.)

14. Ierusalimsky AP. Tick-borne encephalitis. Manual for physicians. Novosibirsk: State medical academy publishers; 2001: 360 (In Russ.)

15. Uskov AN, Baygelenov KD, Burgasova OA, et al. Resent view on diagnostics of tick-borne infections. Sibirskij medicinskij zhurnal (Irkutsk). 2008; 82 (7): 148-152. (In Russ.) URL: https://smj.ismu.baikal.ru/index.php/osn/issue/view/71/2008-7

16. Kal’f-Kalif Ya. Ya. About the leukocyte index of intoxication and its practical significance. Vrachebnoe delo. 1941; 1: 31-33. (In Russ.)

17. Ostrovskiy VK, Rodionov PN, Makarov SV. The efficacy of the acute pancreatitis surgical treatment. Khirurgiya. Zhurnal imeni N.I. Pirogova. 2011; 8: 58-60. (In Russ.) URL: https://www.mediasphera.ru/issues/khirurgiya-zhurnal-im-n-i-pirogova/2011/8/downloads/ru/030023-12072011810.

18. Mordyk AV, Batishcheva TL, Puzyreva LV. Diagnostic blood indices as a criterion for evaluating the efficacy of treatment of infiltrative pulmonary tuberculosis in newly diagnosed socially adapted patients. Poliklinika 2015; (2-1): 36-39. (In Russ.) URL: https://elibrary.ru/download/elibrary_23298929_33334634.pdf

19. Lakin GF. Biometrics: study guide. Moscow: Vysshaya shkola; 1990: 352 (In Russ.)

20. Borovikov VP. Popular introduction to contemporary data analysis in STATISTICA: guidelines for universities. Moscow; 2013: 288 (In Russ.)

21. Tolles J, Meurer WJ. Logistic Regression: Relating Patient Characteristics to Outcomes. JAMA. 2016; 316(5): 533-534. DOI: 10.1001/jama.2016.7653

22. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993; 39(4): 561-577.

23. Radolf JD, Strle K, Lemieux JE, Strle F. Lyme Disease in Humans. Curr Issues Mol Biol. 2021; 42: 333-384. DOI: 10.21775/cimb.042.333

24. Waddell LA, Greig J, Mascarenhas M, et al. The accuracy of diagnostic tests for Lyme disease in humans, a systematic review and meta-analysis of North American Research. PLoS One. 2016; 11(12): e0168613. DOI: 10.1371/journal.pone.0168613.

25. Gromova OA, Etenko DA, Semenov VA, et al. Diagnosis of mixed tick-borne encephalitis and tick-borne borreliosis in the early stages of the disease. Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2013; 113(4): 9-12. (In Russ.) URL: https://www.mediasphera.ru/issues/zhurnal-nevrologii-i-psikhiatriiim-s-s-korsakova/2013/4/downloads/ru/031997-7298201342


Review

For citations:


Ilyinskikh E.N., Filatova E.N., Bulankov Yu.I., Nekrasov V.N., Reshetova A.V., Portnyagina E.V., Aksyonov S.V., Voronkova O.V., Motlokhova E.A., Ilyanova I.N. Predictive value of complete blood count for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis. Journal Infectology. 2022;14(4):69-76. (In Russ.) https://doi.org/10.22625/2072-6732-2022-14-4-69-76

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