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Risk factors and algorithms to identify hepatitis C, hepatitis B, and
HIV among Georgian tuberculosis patients
Mark H. Kuniholm
a,*
, Jennifer Mark
a
, Malvina Aladashvili
b
, N. Shubladze
c
, G.
Khechinashvili
c
, Tengiz Tsertsvadze
b
, Carlos del Rio
d
, and Kenrad E. Nelson
a,e
aDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205,
USA
bGeorgian AIDS and Clinical Immunology Research Center, Tbilisi, Georgia
cNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
dDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, 30322, USA
eDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
Summary
Objectives—To determine prevalence, risk factors, and simple identification algorithms for HIV,
hepatitis B, and hepatitis C co-infection; factors that may predispose for anti-tuberculosis therapy-
induced hepatoxicity.
Methods—We recruited 300 individuals at in-patient tuberculosis hospitals in three cities in
Georgia, administered a behavioral questionnaire, and tested for antibody to HIV, hepatitis C (HCV),
hepatitis B core antigen (anti-HBc), and the hepatitis B surface antigen (HBsAg).
Results—0.7% of the individuals were HIV positive, 4.3% were HBsAg positive, 8.7% were anti-
HBc positive, and 12.0% were HCV positive. In multivariable analysis, a history of blood transfusion,
injection drug use, and prison were significant independent risk factors for HCV, while a history of
blood transfusion, injection drug use, younger age at sexual debut, and a high number of sex partners
were significant risk factors for HBV. Three-questionnaire item algorithms predicted HCV serostatus
74.1% of the time and HBV serostatus 85.2% of the time.
Conclusions—Treatment of tuberculosis patients in resource-limited countries with concurrent
epidemics of HCV, HBV, and HIV may be associated with significant hepatoxicity. Serologic
screening of tuberculosis patients for HBV, HCV and HIV or using behavioral algorithms to identify
patients in need of intensive monitoring during anti-tuberculosis therapy may reduce this risk.
Keywords
hepatitis C; HIV; hepatitis B; tuberculosis; hepatoxicity; Georgia; epidemiology
Introduction
Although roughly one third of the human population is chronically infected with
Mycobacterium tuberculosis,
1
the distribution of infections is far from uniform. Sub-Saharan
Africa, Asia, and Eastern Europe have the highest prevalence and incidence rates worldwide,
*Corresponding author: Mark H. Kuniholm, Dept. of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Suite E7133,
615 N. Wolfe St., Baltimore, MD 21205, USA; Phone: +1-410-366-1807; Fax: +1-410-955-1836 ; E-mail: mkunihol@jhsph.edu.
NIH Public Access
Author Manuscript
Int J Infect Dis. Author manuscript; available in PMC 2009 March 2.
Published in final edited form as:
Int J Infect Dis. 2008 January ; 12(1): 51–56. doi:10.1016/j.ijid.2007.04.015.
NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author Manuscript
2
and are the areas where the World Health Organization (WHO) Directly Observed Therapy
Short-Course (DOTS) program for tuberculosis control has been most vigorously
implemented. Although highly effective,
3
several shortcomings have recently been identified
in the DOTS program.
4
One of these identified shortcomings is the failure of first-line DOTS
treatment regimens in difficult-to-treat populations, e.g. HIV co-infected patients, patients
infected with multi-drug resistant M. tuberculosis strains, and other patients with special needs.
Patients with increased susceptibility to the hepatotoxic effects of first-line treatment regimens
represent special populations and need to be identified prior to therapy initiation and monitored
more carefully than the general population of M. tuberculosis infected patients. Unfortunately,
although three of the first-line drugs, rifampin, pyrazinamide, and isoniazid are known to be
hepatotoxic,
5–9
the patient characteristics that confer greater risk of treatment-associated liver
injury are poorly understood. Older age,
10,11
concurrent or chronic alcohol use,
12–15
hepatitis C,
16
hepatitis B,
17
and HIV
16
virus infection have been found to increase the risk
of hepatoxicity in some studies, but non-significant associations for all of these putative risk
factors have also been reported.
5,14,15,18–23
Until definitive studies are conducted, caution
suggests that patient populations should be screened for the above-mentioned characteristics
and monitored carefully following initiation of therapy.
Many countries of the former Soviet Union have experienced major increases in tuberculosis
incidence over the past fifteen years,
2,24
and are attempting to control epidemics of HIV,
hepatitis B, and hepatitis C viruses with limited healthcare resources. Georgia is situated south
of the Russian Federation in the Caucasus region between the Black and Caspian Seas (see
Figure 1), and currently faces major concurrent epidemics of tuberculosis,
25–27
hepatitis B,
28,29
and hepatitis C.
28–31
World Health Organization estimates suggest that tuberculosis
incidence is 83 cases per 100,000 person-years, and 16% of new tuberculosis cases are
multidrug-resistant in Georgia.
32
Research studies have also found multidrug-resistant M.
tuberculosis strains to be common in Georgia,
27, 33
and an evaluation of the Georgian DOTS
program in the mid-1990s suggested that 25% of individuals who begin anti-tuberculosis
therapy regimens will not complete them.
34
While this study did not evaluate the reasons for
therapy interruption among the Georgian patients, a recent study from Russia has suggested
that difficulty tolerating anti-tuberculosis therapy because of co-morbid illnesses such as HIV
and viral hepatitis is common.
35
Despite its potential effect on improving tuberculosis treatment completion rates (through
careful monitoring and treatment adjustment when indicated), serologic screening for hepatitis
B, hepatitis C, and HIV viruses is not routine practice among Georgian tuberculosis clinics
because of limited resources and the scarcity of diagnostic capabilities within tuberculosis
hospitals. In this study, we used behavioral and biomarker data collected between October,
1997 and June, 1998 in three Georgian in-patient tuberculosis hospitals to describe the
prevalence and risk factors for three putative viral risk factors for anti-tuberculosis therapy-
induced hepatotoxicity. We additionally assessed the ability of simple questionnaire algorithms
to accurately predict infection with HCV and HBV to determine whether this screening
mechanism could identify subsets of patients who are in need of intensive monitoring during
anti-tuberculosis therapy.
Materials and Methods
Study Population
Between October, 1997 and June, 1998, we recruited individuals at in-patient tuberculosis
hospitals as part of a HIV/AIDS surveillance project conducted by the Georgian AIDS and
Clinical Immunology Research Center.
28
Recruited individuals were between the ages of 18
and 65 and were patients in hospitals in the Georgian cities of Tbilisi, Batumi, and Poti. Subjects
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were enrolled into the study if they gave their informed consent to answer a confidential
questionnaire, be tested for HIV, HCV, and HBV and receive the results of these tests along
with appropriate counseling. The research protocol was reviewed and approved by Institutional
Review Boards at the AIDS and Clinical Immunology Research Center in Tbilisi, Georgia and
the Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Behavioral Questionnaire
Recruited individuals who agreed to participate in the study were interviewed confidentially
by trained interviewers regarding their clinical and demographic characteristics, history of drug
use, and sexual behaviors. After the interview data were collected they were transferred to a
Microsoft Access database for archival and analysis.
Laboratory Methods
Blood samples drawn from participating individuals were assayed for antibody to HIV-1 with
the Abbott Recombinant HIV-1 assay (Abbott Laboratories, Abbott Park, IL, USA). Blood
samples reactive for HIV-1 were confirmed using a licensed western blot assay (DuPont Co,
Willmington, DE, USA). Antibody to HCV was assessed using the Ortho HCV Version 3.0
ELISA (Ortho Diagnostics Systems, Raritan, NJ, USA). Hepatitis B surface antigen (HBsAg)
and core antibody (anti-HBcore) were assessed using Auszyme Monoclonal and Corzyme
assays (Abbott Laboratories, Abbott Park, IL, USA). All laboratory testing was conducted at
the AIDS and Clinical Immunology Research Center in Tbilisi, Georgia.
Statistical Methods
We calculated descriptive statistics for laboratory results and questionnaire variables. We used
bivariate and multivariable logistic regression models to evaluate the association of
demographic, drug use history, and sexual history variables with HCV and HBV seropositivity.
We defined individuals testing positive for either anti-HBcore or HBsAg to be HBV positive.
We used bivariate analysis to evaluate city of residence and age-group associations, and
multivariable analysis, with all evaluated variables in a single model, to evaluate all other
associations. Too few individuals were infected with HIV to conduct a statistical assessment
of HIV risk factors.
For our assessment of the ability of questionnaire combination algorithms to accurately predict
viral infection status, we constructed two- and three-questionnaire item combinations and
divided the number of individuals reporting yes to any of the questionnaire items in the
combination by the number of individuals serologically diagnosed with HCV or HBV
infection. This quotient then reflected the sensitivity of the questionnaire item combination
compared to the gold-standard of serology. All analyses were conducted using SAS 9.1 (SAS
Institute, Cary, NC, USA).
Results
Demographic, drug use history, and sexual history variables are listed in Table 1. Most patients
were male and were recruited from hospitals in Tbilisi. Patients were most often in their thirties
and most had completed secondary school. Histories of blood transfusion, prison, and injection
drug use were relatively rare, although sexual activity in the past two years was not.
Two (0.7%) of the 300 surveyed individuals were HIV positive, 13 (4.3%) were HBsAg
positive, 26 (8.7%) were anti-HBcore positive and 27 (9.0%) were positive for either HBsAg
or anti-HBcore. Thirty-six (12.0%) were HCV positive. One of the two HIV positive
individuals was HCV co-infected, and six individuals were positive for both HCV and HBV.
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The two HIV positive individuals were both male, one had received a blood transfusion and
the other had injected illicit drugs.
Risk factors for HCV and HBV seropositivity are listed in Table 2. In bivariate analysis, neither
HCV nor HBV seroprevalence differed significantly by city of recruitment or gender. In
multivariable adjusted analysis, having a university-level education was protective against the
presence of HCV, but not against the presence of HBV. Both a history of blood transfusion
and a history of injection drug use were highly significant risk factors for both HCV and HBV.
Having been in prison was a significant risk factor for HCV, but not for HBV. Older age at
first sexual contact was significantly protective against the presence of HBV, while having
four or more sexual partners in the past two years was a significant risk factor for HBV.
Table 3 shows the sensitivity of two-questionnaire item combinations to predict HCV and HBV
status as diagnosed by serology. As seen in the part a) of the table, three two-questionnaire
item combinations predicted HCV status 61.1% of the time. Inclusion of a third questionnaire
item to form the algorithm “Did you ever inject drugs?; Did you have your first sexual contact
at ≤ 18 years of age?; Did you ever have a blood transfusion?” increased the ability to predict
HCV serostatus to 72.2%.
As seen in section b) of Table 3, one two-questionnaire item combination predicted HBV status
74.1% of the time. Inclusion of a third questionnaire item to form the algorithm “Did you ever
inject drugs?; Did you have your first sexual contact at ≤ 18 years of age?; Have you had ≥ 4
sex partners in the past two years?” increased the ability to predict HBV status to 85.2%.
Discussion
Hepatotoxicity is a common side effect associated with the use of many therapeutic agents.
8,
35
Drug-related hepatotoxicity of antiretroviral therapy for HIV infection is more frequent
among patients who are co-infected with hepatitis viruses.
36
Although some studies examining
the role of viral hepatitis co-infection on adverse events following anti-tuberculosis therapy
have produced conflicting results, countries of the former Soviet Union, which are facing
serious epidemics of both tuberculosis and viral hepatitis, should exercise caution and carefully
monitor their patients for drug-associated hepatotoxicity.
Our study found that HIV infection was rare but HBV and HCV infections were common
among Georgian tuberculosis patients. High and increasing prevalence of HCV has been
reported among both tuberculosis patients and blood donors in Georgia between 1998 and
2001,
25,29,30
but this study is the first to indicate that HBV is a significant problem among
patients with tuberculosis in Georgia.
This study indicates that injection drug use and blood transfusions were major risk factors for
both HCV and HBV, and that spread of HCV was additionally common among prisoners, even
after adjusting for injection drug use. These results are consistent with those of Richards et al.
25
with regard to the spread of HCV in prisons but differ in finding that a history of blood
transfusion and injection drug use were both associated with HCV infection. Routine screening
of the Georgian blood supply for HCV was initiated in 1997,
28,29
so current blood transfusions
may be less likely to transmit HCV than those conducted prior to this time. Our results also
suggest that younger age of sexual initiation and multiple sex partners are significant risk
factors for the acquisition of HBV.
Our evaluations of simple two- and three-question behavioral algorithms suggest that HBV
can be predicted in many patients who respond in the affirmative to any one of three simple
questions. These data should be of interest to tuberculosis clinicians, since they represent a
simple and inexpensive screening tool to identify patients who may be at increased risk of
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hepatotoxic side effects to anti-tuberculosis drugs. The three-questionnaire item algorithm to
predict HCV status was less sensitive than that of the HBV algorithm, and additionally was
dependent on receipt of blood transfusion; a risk factor that may currently be of less significance
in Georgia. It is important to note however that the proposed algorithms, while valid for Georgia
and countries with similarly propagated HCV and HBV epidemics, may not be valid for
countries with epidemiologically distinct epidemics.
Georgia is just one of many countries in the former Soviet Union struggling to control its
burgeoning tuberculosis problem. Successful treatment of tuberculosis patients with viral
hepatitis and HIV co-infection will be a challenging task. However, it may be useful to utilize
behavioral algorithms to identify which patients are at highest risk of drug toxicity in
conjunction with serologic screening of high risk tuberculosis patients for HCV, HBV, and
HIV infection. Careful clinical and laboratory monitoring, and treatment adjustment as needed,
will also be necessary to avert serious hepatotoxicity in these patients.
Acknowledgements
Supported in part by the NIH/AIDS International Training and Research Program of Emory University (D43
TW01042) and the Civilian Research and Development Foundation (CRDF Grant #7213 and GB1-2013). The authors
have no conflicts of interest concerning the work reported in this paper.
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Figure 1.
Republic of Georgia
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Table 1
Characteristics of the Study Population (N=300)
Characteristic Number Percent (%)
Residence City
Tbilisi 245 81.7
Poti 32 10.7
Batumi 23 7.7
Gender
Male 242 80.7
Female 58 19.3
Age
18–27 years 95 31.7
28–37 years 126 42.0
≥ 38 years 79 26.3
Education
Primary 38 12.7
Secondary 173 57.7
University 89 29.7
Blood Transfusion
No 287 95.7
Yes 13 4.3
Ever injection drug use
No 277 92.3
Yes 23 7.7
Ever prison
No 278 92.7
Yes 22 7.3
Ever male homosexual contact
No 281 93.7
Yes 19 6.3
Age at first sexual contact
≤ 18 years 85 28.3
19 – 21 years 120 40.0
≥ 22 years 95 31.7
Number of sex partners in last 2 years
0 – 1 partners 113 37.7
2 – 3 partners 150 50.0
≥ 4 partners 37 12.3
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Table 2
Risk Factors for HCV and HBV Seropositivity (N=300)
HCV HBV
Variable OR 95% CI OR 95% CI
Residence City
Tbilisi 1.0 1.0
Poti 0.71 0.21, 2.49 1.61 0.51, 5.04
Batumi 0.66 0.15, 2.94 1.69 0.46, 6.17
Gender
Male 1.0 1.0
Female 0.82 0.35, 1.90 0.82 0.32, 2.14
Age
18–27 years 1.0 1.0
28–37 years 1.11 0.49, 2.52 1.04 0.40, 2.70
≥ 38 years 0.98 0.39, 2.50 1.23 0.44, 3.43
OR
*
95% CI
OR
*
95% CI
Education
Primary 1.0 1.0
Secondary 0.46 0.13, 1.66 1.09 0.13, 9.20
University 0.04 0.00, 0.55 0.84 0.20, 3.66
Blood Transfusion
No 1.0 1.0
Yes 12.37 2.52, 60.56 14.02 2.51, 78.29
Ever injection drug use
No 1.0 1.0
Yes 18.26 5.37, 62.12 12.72 3.57, 45.29
Ever prison
No 1.0 1.0
Yes 4.83 1.23, 18.97 1.28 0.29, 5.79
Ever male homosexual contact
No 1.0 1.0
Yes 0.62 0.11, 3.43 4.16 0.91, 18.96
Age at first sexual contact
≤18 years 1.0 1.0
19 – 21 years 1.39 0.49, 3.94 0.54 0.17, 1.72
≥ 22 years 0.54 0.13, 2.20 0.11 0.02, 0.65
Number of sex partners in last 2 years
0 – 1 partners 1.0 1.0
2 – 3 partners 0.45 0.14, 1.49 0.55 0.14, 2.12
≥ 4 partners 1.61 0.43, 6.00 4.45 1.19, 16.70
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*
ORs are adjusted for: city, gender, age group, education, blood transfusion, injection drug use, prison, male homosexual contact, age at first sexual
contact, and number of sex partner variables
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Table 3
Sensitivity (%) of Two Item Questionnaire Combinations to Detect Serologically Confirmed HCV (a) and HBV (b) Infection
a) Primary Education Blood Transfusion Injection drug use Prison ≤ 18 years at
first sex
Blood Transfusion 52.8
Injection drug use 55.6 58.3
Prison 44.4 41.7 52.8
≤ 18 years at first sex 52.8 55.7 61.1 61.1
≥ 4 sex partners 44.4 38.9 61.1 41.7 58.3
b) Primary Education Blood Transfusion Injection drug use Prison ≤ 18 years at
first sex
Blood Transfusion 33.3
Injection drug use 55.6 48.2
Prison 44.4 33.3 44.4
≤ 18 years at first sex 63.0 63.0 74.1 63.0
≥ 4 sex partners 55.6 55.6 63.0 59.3 70.4
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