FEATURES OF THE TRANSMISSION MECHANISM OF VIRAL HEPATITIS C IN UKRAINE
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Keywords

Hepatitis C, epidemic process, dental procedures, laboratory blood sampling, sexual transmission

How to Cite

N. A. Halushko, T. O. Tretska, & A. V. Halushko. (2020). FEATURES OF THE TRANSMISSION MECHANISM OF VIRAL HEPATITIS C IN UKRAINE. Eastern Ukrainian Medical Journal, 8(2), 161-175. https://doi.org/10.21272/eumj.2020;8(2):161-175

Abstract

Introduction/objective. The significant part of young people in the structure of hepatitis C virus (HC/HCV infection) incidence, a great deal of latent cases of this infection and the lack of specific prevention may complicate the epidemic situation regarding this infection in Ukraine in the coming years. The authors developed a mathematical model of the HC epidemiological process to determine the most significant factors in this infection transmission in the country.

Materials and methods. The study is based on correlation-regression analysis of the relationship between dependent (or responding) and explanatory (factorial or predictors) variables. In total, the analysis involved 3 dependent variables y1, y2, y3, corresponding to the annual number of acute and chronic HC cases and the number of HC virus seropositive individuals, and 17 predictors x1 – x17, including patients who received etiotropic treatment; patients with mental and behavioral disorders due to narcotics use, including opioids; patients with sexually transmitted infections; the number of visits to dentists; the number of patients who had dentures placed; the number of surgical operations, blood transfusions, endoscopic examinations, laboratory blood tests, hemodialysis, etc. The number of observations (n) of dependent and explanatory variables was equal to 25, which corresponds to the number of administrative-territorial units in Ukraine (24 regions and Kyiv).

The quality of regression models was evaluated using multiple correlation coefficients (R), determination coefficients (R2) and regression coefficients (b0, b1, b2). Statistical significance of R2 was determined by F-statistics, regression coefficients – by standard errors (m), t-test, p-value, and the range of 95% confidence intervals (CI).

To compare the degree of influence of factor variables over dependent variables in the two-factor regression model, standardized regression coefficients were calculated.

The reliability of regression models was evaluated by the statistics of Durbin–Watson (DW), Breusch–Godfrey (BG) and White (W) tests.

The relative risk (RR) of HC infection was retrospectively determined in the individuals from behavioral and medical risk groups.

Results. In mathematical model of the epidemic process of acute HC, statistical significance was demonstrated for only one variable effect – annual number of dentist visits. The obtained regression equation was as follows:

y1 = 0.000021 x5 – 11.353,

where y1 = annual number of patients with acute HC; х5 = annual number of dentist visits. Statistical characteristics of the model: R = 0.892, R2 = 0.796; F-test: 89.9 for 1 and 23 degrees of freedom, statistical significance for F: 0.0000000021; regression coefficients: b1= 0.000021 (m = ±0.0000023; t = 9.48, tcrit = 1.71; p = 0.0000000021; 95% CІ [0.000017; 0.000026]), b0 = -11.353 (m = ±3.982; t = 2.85, tcrit = 1.71; p = 0.009; 95% CІ [-19.59; -3.116]).

When developing a model of the epidemic process of acute HC taking into account the annual number of seropositive individuals, statistical significance was demonstrated only for two variables: annual number of the sexually transmitted infections and annual number of laboratory blood tests. The analytical relationship of variables in this model had the following mathematical expression:

y3 = 4.563 x4 + 0.0058 x15 – 36552.721,

where y3 = number of HCV-seropositive individuals; x4 = number of sexually transmitted diseases, x15 = number of laboratory blood tests.

Statistical characteristics of the model: R = 0.92, R2 = 0.842; F-test: 58.62 for 2 and 22 degrees of freedom, statistical significance for F: 0.00000000153; regression coefficients: b0= -36552.721 (m = ±10649.1; t = 3.43, tcrit = 1.71; p = 0.0024; 95% CІ [-58637.63; -14467.81]), b1 = 0.0058; m = ±0.00082; t = 7.1, tcrit = 1.71; р = 0.0000004; 95% CІ [0.0041; 0.0075]; b2 = 4.563; m = ±1.526; t = 2.99, tcrit = 1.71; р = 0.0067; 95% CІ [1.4; 7.73].

The Durbin–Watson and Breusch–Godfrey tests did not reveal autocorrelation of residues for both regression models: DWU < DWр < 4 – DWU; BG < χ2. White's test shows no heteroscedasticity for both models: W < χ2. The test results indicate the reliability of both regression models.

Conclusions. According to our data, at least 84% of HC virus infection cases in Ukraine occur through sexual contact and during laboratory blood sampling, and the role of the latter route of transmission in the HC virus spread was even more significant (standardized regression coefficients are 0.3 and 0.7, respectively).

Almost 80% of acute HC cases are associated with dental interventions.

Etiotropic treatment of patients with HC at the current level of treatment coverage can reduce the incidence of complications and the risk of death, but it is ineffective as a measure of influence on the first stage of the epidemiological process (source of infection).

Drug users have little effect on the intensity of the HC epidemiological process in Ukraine as a whole, despite the fact that the relative risk of HC among this population is quite significant (RR = 6.5; 95% CI [6.39; 6.63]).

https://doi.org/10.21272/eumj.2020;8(2):161-175
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References

1. World Health Organization [Internet] Global health sector strategy on viral hepatitis 2016-2021; 2016 [cited 2020 Feb 12]. Available from: http://apps.who.int/iris/bitstream/10665/246177/1/ WHO-HIV-2016.06-eng.pdf
2. Talalaiev KO, Vastianov RS, Hoidyk VS, Rusnak SV. Porivnialna kharakterystyka epidemichnoi sytuatsii z virusnykh hepatytiv В i С v Prychornomorskomu rehioni, Ukraini ta Yevropi v period z 2013 po 2017 roky [Comparative characteristics of the epidemic situation of viral hepatitis B and C in the Black Sea region, Ukraine and Europe in the period from 2013 to 2017] Medychni ta ekolohichni problemy prymorskykh rehioniv. 2018; 3(84):13-21[in Ukrainian]
3. Stepanova M, Younossi ZM. Economic Burden of Hepatitis C. J. Infection Clin. Liver Dis. 2017; 21(3): 579-594. doi: 10.1016/j.cld.2017.03.012
4. Centr Gromads`kogo zdorovya MOZ Ukrayiny`[Internet] Hepatyt С v Ukraini: epidemiolohichna kharakterystyka ta otsinka tiaharia (za rezultatamy analizu danykh z riznykh dzherel) [Center of Public Health of the Ministry of Health of Ukraine. Hepatitis C in Ukraine: epidemiological characteristics and burden assessment (for the results of data analysis from different sources)]. Kyiv, 2018. 111 p. [in Ukrainian]. Available from: https://phc.org.ua/kontrol-zakhvoryuvan/virusni-gepatiti/statistika-z-vg
5. World Health Organization [Internet]. Progress report on access to hepatitis C treatment: focus on overcoming barriers in low-and middle-income countries. 2018. [cited 2020 Feb 22]. Available from: www.who.int/iris/handle/10665/260445
6. Open database: Materialy DZ «Tsentr medychnoyi statystyky MOZ Ukrayiny» [Materials state institution "Center for Medical Statistics of the Ministry of Health of Ukraine"] Available from: http://medstat.gov.ua/ukr/statdan.html [in Ukrainian]
7. Berry Michael JA. Data Mining Techniques: for Marketing, Sales, and Customer Relationship Management, Gordon Linoff, 3d ed. Willey Publishing, Inc., 2011. 847 p.
8. Weaver JM. Confirmed transmission of hepatitis C in an oral surgery office. Anesthesia progress. 2014; 61(3): 93–94. doi: 10.2344/0003-3006-61.3.93
9. Redd JT, Baumbach J, Kohn W, Nainan O, Khristova M, Williams I. Patient-to-Patient Transmission of Hepatitis B Virus Associated with Oral Surgery. The Journal of Infectious Diseases. 2007; 195 (9): 1311–1314. doi:10.1086/513435
10. Flávia Morais Gomes Pinto, Camila Quartim de Moraes Bruna, Tamara Carolina Camargo, Maíra Marques, Cely Barretos Silva, Suzete M. Sasagawa, Lycia Maria Jenné Mimica, Kazuko Uchikawa Graziano. The practice of disinfection of high-speed handpieces with 70% w/v alcohol: An evaluation. American Journal of Infection Control. 2017; 45 (1): e19 - e22
11. Hadler S, Doto I, Maynard J, Smith J, Clark B, Mosley J, Eickhoff Th, Himmelsbach C, Cole W. Occupational Risk of Hepatitis B Infection in Hospital Workers. Infection Control. 1985; 6:24-31. doi:10.1017/S0195941700062457
12. Dienstag JL, Ryan DM. Occupational exposures to hepatitis B virus in hospital personnel: infection or immunity? American Journal of Epidemiology. 1982; 115(1): 26–39
13. Pattison CP, Boyer KM, Maynard JE, Kelly PC. Epidemic Hepatitis in a Clinical Laboratory: Possible Association With Computer Card Handling. JAMA. 1974; 230(6): 854–857. doi: 10.1001/jama.1974.03240060024023
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