HIV and HCV coinfection: prevalence, associated factors and genotype characterization in the Midwest Region of Brazil.

A cross-sectional study on prevalence, associated factors and genotype distribution of HCV infection was conducted among 848 HIV-infected patients recruited at reference centers in the Midwest Region of Brazil. The prevalence rate of HIV-HCV coinfection was 6.9% (95% CI: 5.2 to 8.6). In multivariable analysis, increasing age, use of illicit drugs (injection and non-injection), a history of blood transfusion before 1994, and the absence of a steady partnership were significant independent associated factors for HIV-HCV coinfection. The phylogenetic analysis based on the NS5B region revealed the presence of two major circulating genotypes of HCV: genotypes 1 (58.3%) and 3 (41.7%). The prevalence of HIV-HCV coinfection was lower than those reported in studies conducted with HIV-infected patients in different regions of Brazil, due to the fact that illicit drug use is not a frequent mode of HIV transmission in this region of Brazil. Serologic screening of HIV-patients for HCV before initiating antiretroviral treatment, a comprehensive identification of associated factors, and the implementation of effective harm reduction programs are highly recommended to provide useful information for treatment and to prevent HCV coinfection in these patients.

INTRODUCTION

Chronic coinfection with the hepatitis C virus (HCV) is common in the HIV-infected population. An estimated 34 million people are currently infected with Human Immunodeficiency Virus (HIV) worldwide, and approximately 20-30% of HIV-positive individuals are coinfected with HCV due to the similarity in the transmission routes[49].

However, rates of HIV-HCV coinfection vary widely in different population groups depending on the geographical region, risk factors, age of infection, modes of transmission and types of exposure. In the studies conducted in Brazil, the prevalence of HIV-HCV coinfection ranged from 3.3% to 82.4% with an average of 20.3%[19].

The survival of HIV infected patients has markedly improved since the introduction of highly active antiretroviral therapy (HAART) and deaths from AIDS-related causes have declined. However, several studies have shown that the liver disease caused by chronic hepatitis B and hepatitis C coinfections has emerged as one of the leading causes of mortality[47]. Several studies have shown that HIV-HCV coinfected patients are at increased risk of more rapid progress to cirrhosis, end-stage liver disease and hepatocellular carcinoma[40,43,48]. Universal hepatitis C screening in HIV-infected patients (prior to starting HAART) is highly recommended to suit the selection of candidates for therapy and proper use of HCV therapy and novel treatment options in HIV-infected patients with chronic hepatitis C.

HCV is classified into seven main genotypes (1-7) and multiple subtypes based on sequence data[36]. The prevalence of different HCV genotypes and subtypes varies according to specific geographic areas and/or the route of transmission[1,20,28]. The genotype of HCV is a major predictive factor for natural and in HCV infection treatment evolution. In Brazil, little is known about viral interactions in multiple hepatitis coinfections, and the association between genotypes of HCV and different transmission risk factors, especially in areas with low HIV and HCV prevalence.

This is the first study reporting the epidemiological and molecular characterization of HIV-HCV coinfection in Midwestern Brazil. This study was conducted to investigate the prevalence of HIV-HCV coinfection, associated factors and also to gain insight into the molecular epidemiology for HCV infection in the HIV-infected patients in Midwestern Brazil.

MATERIALS AND METHODS

Study population: This observational, cross-sectional study was conducted in 848 HIV-infected patients, of both sexes, followed routinely in two HIV/Aids clinics: the Day Hospital “Esterina Corsini” from the University Hospital of the Federal University of Mato Grosso do Sul, and the Reference Center of Infectious and Parasitic Diseases (CEDIP). Both clinics are located in Campo Grande, State of Mato Grosso do Sul (MS), and are responsible for over 90% of the services performed by the Unified Health System (SUS). The study was conducted in patients followed between November 2009 and July 2011, a period considered satisfactory for all patients to perform, at least, one outpatient evaluation. All patients approached at the time of blood collection to perform viral load and CD4+ T cell measurements agreed to participate in this study.

The age of patients ranged from 14 to 87 years old (41.6 age average), and 483 (57%) of the participants were male. Participants were classified as HIV-HCV coinfected if they presented anti-HCV confirmed by positive results in serologic testing after confirmatory immunoblot assay.

After informing them about the aims and methodology of research, the HIV-positive patients who consented to participate in the investigation by signing the Instrument of Consent underwent an interview on sociodemographic information and details regarding risk factors associated with HIV-HCV coinfection, using a standard form. The interviews were conducted individually to guarantee the full privacy of the participants. The blood samples collected from all individuals and sera were stored at -20°C. This study was approved by the Ethics in Research Committee of the Federal University of Mato Grosso do Sul (accession number: 1435/CEP-UFMS).

Serologic tests: Blood samples drawn from participating individuals were assayed for antibody to HCV by enzyme-linked immunosorbent assay (ELISA) and electrochemiluminescence immunoassay (ECLIA), using the Cobas® e601 analyzer (Roche Diagnostics, Mannheim, Germany), according to manufacturer instructions. All the positive samples for anti-HCV were confirmed by immunoblot assay and HCV RNA (Chiron RIBA HCV 3.0, Strip Immunoblot Assay/SIA, Emeryville, CA, USA). HCV infection was considered to be present in subjects who tested positive for anti-HCV, confirmed by immunoblot or RT-PCR (Reverse Transcription Polymerase chain reaction.

Genome extraction and amplification: The anti-HCV reactive samples were submitted to RNA extraction using the QIAmp® Viral RNA Mini Kit (QIAGEN, Hilden, Germany). After precipitation, the pellet was dried and resuspended in 60 µL of Elution Buffer. The NS5B region of HCV genome was partially amplified by RT nested PCR, using primers described by SANDRES-SAUNÉ et al. (2003)[35]. The primers used in the first round were PR3 (5′-TATGAYACCCGCTGYTTTGACTC-3′, nucleotide position 8256-8278, relative to the reference sequence H77) and PR4 (5′–GCNGARTAYCTVGTCATAGCCTC-3′, nucleotide position 8622-8644). The synthesis of complementary DNA and PCR amplification were performed with 5 µL of RNA and one unit of SuperScript™ III One-Step RT/Platinum® Taq Mix (Invitrogen, San Diego, CA) in a final volume of 25 µL, under the following conditions: an initial 42°C hold for 45 min, followed by a denaturation step at 94°C for two min and 35 cycles of 93°C for 30 sec, 60°C for 45 sec, and 72°C for one min, followed by a final elongation step at 72°C for five min. The second round was conducted by using the PR3 sense primer and the antisense primer PR5 (5′–GCTAGTCATAGCCTCCGT-3′, nucleotide position 8619-8636, relative to the reference sequence H77) located at the same region on the genome to facilitate the amplification of all HCV genotypes. The second round of amplification was performed in a final volume of 100 µL, using 4 µL of the first round PCR product, under the following conditions: an initial denaturation step (five min at 95°C), followed by 30 cycles of 95°C for 30 sec, 55°C for 30 sec and 72°C for 30 sec, followed by a final elongation step (10 min at 72°C). Ten microliters of amplification product was loaded on 1.5% agarose gels, electrophoresed, and stained with ethidium bromide to visualize bands of expected length of 401 base pairs fragment.

Nucleotide sequencing and phylogenetic analysis: The nested RT-PCR products were purified using the QIAquick gel extraction kit (Qiagen, Hilden, Germany) and submitted to direct nucleotide sequencing reaction in both directions using Big Dye Terminator kit (version 3.1, Applied Biosystems, Foster City, CA, USA) with PR3 and PR5 primers. Sequencing reactions were analyzed on an ABI3730 automated sequencer (Applied Biosystems). The sequence from nucleotide 8279 to 8618 was used for analysis and aligned using Clustal X program[21].

The phylogenetic tree was constructed with MEGA 5.1[46] software using the Neighbor-Joining and the Maximum Composite Likelihood methods. The reliability of the phylogenetic tree was assessed by bootstrap test (550 replicates). The analysis involved 130 reference sequences representative of the main HCV genotypes/subtypes available in Genbank (referred in the phylogenetic tree by subtype, followed by the number of access to Genbank). The HCV sequences determined in this study were registered in the GenBank database for HCV under the accession numbers KF793292 to KF793327.

Statistical analysis: Prevalence data and 95% confidence intervals (CI) were calculated. Student's t-test (continuous variable), Chi-square test and Fisher's exact test (categorical variables) were used to compare variables and to evaluate the association between the presence of HIV-HCV coinfection and associated factors. These, estimated by odds ratio in univariate analysis, were further analyzed by stepwise logistic regression model to identify possible confounders. Differences were considered statistically significant, when p value was <0.05. Statistical evaluations were performed using the EpiInfo (version 3.5.3; http://wwwn.cdc.gov/epiinfo/) and SPSS (version 11.0; SPSS inc., Chicago, USA, 1999).

RESULTS

A total of 848 HIV-infected patients were included in the study. The main sociodemographic characteristics are listed in Table 1. Patients were mostly male, had lower education levels and were born in the State of Mato Grosso do Sul.

Table 1

Sociodemographic characteristics of HIV-infected patients in the state of Mato Grosso do Sul, in Midwestern Brazil, 2013 (n = 848)

Variable	N	%
Gender
Female	365	43.0
Male	483	57.0
Age (years)
≤ 25	55	6.5
26 - 35	202	23.8
36 - 45	296	34.9
46 - 55	207	24.4
> 55	88	10.4
Marital status
Cohabitating with a partner	377	44.5
No stable partnership	471	55.5
Race/ethnicity
White	470	55.4
Brunette skin/Brown	265	31.3
Black	113	13.3
Education level 1
Illiterate	37	4.4
Lower	446	52.6
Higher	253	29.8
University	112	13.2
Place of birth
Mato Grosso do Sul State	551	65.0
Other States	297	35.0
Family income (Minimum wage 2)
<1	77	9.1
1 - 3	635	74.9
≥ 4	136	16.0
Number of people per household
1	139	16.4
2 - 4	580	68.4
5 - 10	123	14.5
> 10	6	0.7
Religion
No religion	117	13.9
Catholic	387	45.6
Evangelical	287	33.8
Other	57	6.7

Lower education level was defined as Elementary and Middle Schools, completed or not, and higher education level was defined as completed High School or more;

Minimum wage: approximately US$ 300.00 per month.

The prevalence rate of HIV-HCV coinfection was 6.9% (59/848 - 95% CI: 5.2 to 8.6).

The crude prevalence of anti-HCV was higher in men (9.5%) than in women (3.6%), but there was no statistically significant difference between men and women. A significant association (p <0.05) of increasing infection rate with increasing age was observed.

The variables associated (p <0.05) with HIV-HCV coinfection in a univariate analysis were male gender, increasing age, lower education level, family income less than minimum wage (approximately US$ 300.00 per month), tattoos/piercings, illicit intravenous and non-intravenous drug use, having received a blood transfusion before 1994, previous incarceration, multiple sexual partners in the last year, absence of a stable partnership and HBV infection (HBsAg and/or anti-HBc positivity). A multivariate analysis demonstrated that HIV-HCV coinfection was significantly and independently associated with over 40-year old people, illicit intravenous and non-intravenous drug use, the fact of having received a blood transfusion before 1994, and the absence of a partnership (Table 2).

Table 2

Multiple logistic regression analysis of factors associated with risk of acquiring a hepatitis C infection in HIV-infected patients in Campo Grande, Brazil, 2013 (n = 848)

Variable	HCV Positive/total	%	Odds ratio (95% CI 1)	P	Adjusted Odds ratio (95% CI)	P
Gender
Female	13/365	3.6	1.0		1.0
Male	46/483	9.5	2.85 (1.54 - 5.54)	<0.01	1.67 (0.73 - 3.82)	0.23
Age (years)
<40	16/405	4.0	1.0		1.0
≥ 40	43/443	9.7	2.61 (1.45 - 4.72)	<0.01	3.46 (1.52 - 7.90)	<0.01
Marital status
Cohabitating with a partner	19/377	5.0	1.0		1.0
No stable partnership	40/471	8.5	1.75 (1.0 - 3.07)	0.04	2.68 (1.21 - 5.92)	0.02
Education level 2
Higher	15/365	4.1	1.0		1.0
Lower	38/446	8.5	2.17 (1.18 - 4.12)	0.01	1.47 (0.67 - 3.24)	0.34
Illiterate	6/37	16.2	4.49 (1.50 - 12.22)	<0.01	2.63 (0.70 - 9.96)	0.15
Family income (Minimum wage 3)
≥ 4	6/136	4.4	1.0		1.0
1 a 3	41/635	6.5	1.49 (0.65 - 3.95)	0.38	1.16 (0.39 - 3.50)	0.79
<1 or none	12/77	15.6	3.97 (1.44 - 11.94)	0.01	2.08 (0.51 - 8.50)	0.31
Tattoo/piercing
No	37/688	5.4	1.0		1.0
Yes	22/160	13.8	2.80 (1.60 - 4.90)	<0.01	1.24 (0.51 - 2.99)	0.64
Use of illicit drugs
No	20/691	2.9	1.0		1.0
Non-injectable	14/123	11.4	4.30 (2.06 - 8.78)	<0.01	3.88 (1.64 - 9.15)	<0.01
Injectable	25/34	73.5	90.70 (38.31 - 229.18)	<0.01	70.74 (23.33 - 214.51)	<0.01
Transfusion before 1994
No	43/746	5.8	1.0		1.0
Yes	16/102	15.7	3.04 (1.64 - 5.63)	0.01	3.05 (1.37 - 6.82)	<0.01
Imprisonment
No	31/744	4.2	1.0		1.0
Yes	28/104	26.9	8.48 (4.82 - 14.88)	<0.01	1.73 (0.70 - 4.25)	0.23
Number of sexual partners in the last year
None or 1	39/612	6.4	1.0		1.0
2 - 5	12/189	6.3	1.00 (0.49 - 1.91)	0.87	0.55 (0.22 - 1.35)	0.19
> 5	8/47	17.0	3.01 (1.24 - 6.71)	0.02	1.35 (0.44 - 4.13)	0.61
HBV positivity 4
No	35/626	5.6	1.0		1.0
Yes	24/222	10.8	2.05 (1.19 - 3.53)	0.01	1.04 (0.51 - 2.14)	0.92

Confidence interval;

Lower education level was defined as Elementary and Middle Schools, completed or not, and higher education level was defined as completed High School or more;

Minimum wage: approximately US$ 300.00 per month;

HBsAg and/or anti-HBc positivity. Significant values are indicated in bold.

HCV-RNA was detected in 40 of the 59 (79.7%) anti-HCV positive samples. Sequencing of HCV was successfully completed for the NS5B region of 36 HCV-RNA positive patients. Phylogenetic analysis of HCV sequences indicated the existence of HCV 1 (58.3%) and 3 (41.7%) genotypes. Among the 21 samples classified as genotype 1, 17 were clustered in subtype 1a (81.0%) and four (19.0%) with 1b. All fifteen samples classified as genotype 3 were clustered in subtype 3a. Most of the HCV strains were interspersed in the phylogenetic tree among local Brazilian sequences. Three clusters composed of two sequences are observed in subtype 1a and another one in the subtype 1b branch, but only the cluster composed of HCV-1a sequences MS120 and MS102 is supported by a high bootstrap value (93%). In subtype 3a, strains MS17 and MS02 clustered together with a high bootstrap value (97%) (Fig. 1).

Fig. 1

Neighbor-Joining phylogenetic tree based on the HCV NS5B genome from 36 Brazilian HIV-HCV coinfected patients and 130 reference nucleotide sequences with different genotypes retrieved from GenBank. The Brazilian HCV isolates from HIV-HCV coinfected patients from this study are marked with a red circle and are interspersed with HCV subtypes 1a, 1b and 3a reference genes. The bootstrap support values over 75% (obtained for 1,000) replicates are shown next to the branches.

Table 3 shows the characteristics of patients coinfected with HIV-HCV related to HCV genotypes that were identified. A univariate analysis showed variables related to the risk of sexual practices (sexual orientation and absence of a partnership), history of IDU, blood transfusion before 1994, CD4+ T cells count, HCV viral load and the use of antiretroviral drugs were not significantly associated with genotype. The only data which presented a statistically significant difference were HIV viral load.

Table 3

Characteristics of patients coinfected with HIV-HCV according to HCV genotype [n (%)]

Variables	Total (n = 36)	Genotype 1 (n = 21)	Genotype 3 (n = 15)	p
IDU
No	14 (38.9)	9 (42.9)	5 (33.3)
Yes	22 (61.1)	12 (57.1)	10 (66.7)	0.41
Transfusion before 1994
No	26 (72.2)	13 (61.9)	13 (86.7)
Yes	10 (27.8)	8 (38.1)	2 (13.3)	0.10
Steady partnership
Steady partnership	12 (33.3)	6 (28.6)	6 (40.0)
No steady partnership	24 (66.7)	15 (71.4)	9 (60.0)	0.36
Sexual orientation
Heterosexual	30 (83.3)	19 (90.5)	11 (73.3)
Homosexual/Bisexual	6 (16.7)	2 (9.5)	4 (26.6)	0.18
CD4 (cells/mm 3)
> 350	19 (52.8)	13 (61.9)	6 (40.0)
201-350	14 (38.9)	7 (33.3)	7 (46.7)	0.24
≤ 200	3 (8.3)	1 (4.8)	2 (13.3)	0.29
HIV viral load
≤ 50 copies/mL	26 (72.2)	12 (57.1)	14 (93.3)
> 50 copies/mL	10 (27.8)	9 (42.9)	1 (6.7)	0.02
HCV viral load
≤ 615 copies/mL	5 (13.9)	2 (9.5)	3 (20.0)
> 615 copies/mL	31 (86.1)	19 (90.5)	12 (80.0)	0.34
Use of antiretroviral drug
No	5 (13.9)	3 (14.3)	2 (13.3)
Yes	31 (86.1)	18 (85.7)	13 (86.7)	0.66

Significant values are indicated in bold.

DISCUSSION

HIV and HCV have similar routes of transmission and, therefore, HIV positive individuals are at risk of coinfection with HIV-HCV, which represents a lead cause of hepatitis/liver-related deaths, despite HAART, among HIV-infected persons[41]. HIV alters the natural history of HCV and accelerates the progression of liver disease, leading to increased rates of morbidity and mortality, which does not decrease even with the advances in the treatment of HCV, due to the low uptake of treatment. Therefore, HCV and liver disease cannot be ignored during the care of coinfected individuals, especially among those with multiple risk factors for the progression of a disease related to HCV[12,15,43].

The overall prevalence rate of HIV-HCV coinfection (6.9%) was higher than the prevalence of HCV infection encountered in a population-based study (1.38%) conducted in Brazil[9]. Furthermore, this rate was lower than that reported in previous studies conducted in public health services for HIV patients in different regions of Brazil, which ranged from 10.8% to 42.0%[4,26,32,52] and to those found in Australia (56.7%)[5], the United States (25.0%)[18] and Argentina (58.5%)[13]. The lowest rate of HIV-HCV coinfection found in this study compared to that of other regions may be a consequence of the different modes of transmission of HIV-HCV, especially through the use of injectable drugs in different regions or countries of the world[41]. However, this difference appears to be related to the fact that only 4.0% of the HIV-infected patients studied were intravenous drug users and this seems to influence the prevalence of HIV-HCV coinfection in this region[38].

After a multivariate analysis, HIV-HCV coinfection was significantly associated with: being over 40, illicit intravenous and non-intravenous drug use, having received a blood transfusion before 1994 and the absence of a steady partnership (stable union or cohabitating with a partner). Significant increase in the prevalence rate of HCV was observed among older adults. This finding is in agreement with previous studies[14,22,29,51], which may reflect the cumulative effect or an interaction of risk behaviors (e.g., duration and frequency of injection drug use)[1].

HIV-HCV coinfection was influenced by marital status. It may be assumed that these results are related to the fact that the population studied was predominantly male, consisting mainly of single people (no stable partner), and presented behavioral risks such as unprotected sex and multiple sexual partners. Indeed, these aspects were associated with HIV-HCV coinfection in a univariate analysis. Likewise, other studies reported that these variables were risk factors of HIV-HCV coinfection[2,7,50].

There is a high risk of infection by HCV through infected blood and blood products. A strong association between blood transfusion before 1994 and HIV-HCV coinfection was also observed. The introduction of blood-screening tests for anti-HCV at blood banks in the early 1990s strongly decreased HCV transmission from contaminated blood products and blood transfusions. In Brazil, this screening policy was implemented nationwide in late 1994, signaling the beginning of a decline in HCV transmission through blood products and this source of contagion is now thought to be practically non-existent[1,8,31,41]. Also, results of this study indicate an increase in the risk of hepatitis C infection among those who have tattoos, when compared with those who do not, highlighting the importance of the use of sterilized instruments and proper hygiene techniques[17,33].

HIV-HCV coinfection is highly prevalent in the illicit drug user population, especially among people who inject drugs (PWID)[15]. Among 34 HIV-infected PWID, high rates of HCV infection (73.5%) were found and remained independently associated with HIV-HCV coinfection. This study coincides with other reports that describe rates from 50 to 90% of coinfection in individuals that have acquired HIV using intravenous drugs and confirms that the principal route of the spread of HCV is intravenous drug use (IDU)[1,3,10].

A large proportion of HIV-HCV patients studied have a lower social standing and lack of health care (lower socioeconomic status, lower educational level and previous incarceration) which were significantly associated with HIV-HCV coinfection only in the univariate analysis. This may be due to the practice of high risk behaviors, a lower level of prevention knowledge and health assistance. Another fact is that prisoners are known to engage in various activities that are risk factors for HIV-HCV coinfection, including high-risk sexual behavior and they have a higher rate of injectable drug use[10,23]. In addition, since 2000 in Brazil a trend of progressive “pauperization” of the HIV/AIDS epidemic has been observed, characterized by its expansion to areas far from urban centers, smaller and poorer, and the increase in the proportion of cases in individuals with less education[37,44].

In this study, the HCV genotype 1 (58.3%) was found more often, followed by genotype 3 (41.7%). These results are similar to those found in HIV-infected patients and in patients mono-infected with HCV in Brazil[11,27,39] as well as in the same geographic regions, with HCV genotypes 1 and 3 being responsible for most infections[22,25].

The majority of isolates from HIV-HCV coinfected patients included in the phylogenetic analysis were interspersed among many genotypes 1 and 3 lineages from different regions of Brazil, suggesting a different source of infection. However, some HCV strains of subtype 1a, 1b and 3a showed some relationship. Among HCV isolates classified as HCV-1a in the phylogenetic analysis, two small clusters consist each of two patients that reported a history of IDU (MS273/MS279 and MS222/MS666) and among HCV isolates classified as HCV-3a, one small cluster consist of patients that also reported a history of IDU (MS36/MS147). However, these clusters were supported by low bootstrap values (<75%).

Only two sequences of subtype 1a (MS102 and MS120) and two of subtype 3a (MS02 and MS17) clustered together with a high bootstrap value (> 90%), indicating a close relationship between these HCV isolates. These results indicate possible transmission of HCV between these HIV patients.

Knowledge of HCV genotypes helps predict therapeutic response and determines the duration of drug treatment. The standard treatment provides better results for genotypes 2 and 3, with less effective responses for genotypes 1 and 4[1,20,28,53]. The incorporation of direct acting antiviral (DAA) against HCV will drastically change this scenario, increasing expectations of cure for most patients coinfected. Therefore, it is crucial to know the distribution of HCV genotypes to improve the quality and effectiveness of medical care[6,12,34].

Different HCV genotypes, risk factors for coinfection and duration of infection seem to influence the liver disease progression[16] but data regarding association between HCV genotypes and HIV characteristics are scarce. Distribution of HCV genotypes 1 and 3 were similar among IDUs (47.2% vs. 52.7%). This result is different from previous reports among IDUs in Brazil[22,30]. Also, the present study showed a lack of statistical correlation between HCV genotypes and other modes of transmission, the serum HCV-RNA concentration, CD4 level and antiretroviral treatment. In contrast with studies conducted by other authors[42,45,52], a significant relation was established between HCV genotypes and HIV viral load, where it was observed that patients infected with HCV genotype 1 presented with detectable viral load were significantly higher than those with genotype 3 ratio. The maintenance of viral load to undetectable levels is achieved by regular and continuous use of antiretroviral therapy[24]. One possible explanation for the observed association is that among patients with genotype 1 there were proportionally more patients with irregular use of medication, but this variable cannot be analyzed with the tool used in the research, and also, the number of cases is too small for us to be able to discuss it more deeply and draw conclusions.

The present study had certain limitations. Since the study design was cross-sectional, a causal relationship between the time of exposure and subsequent infection could not be established. However, the study was conducted in two main reference centers of infectious diseases where nearly all of the HIV-infected patients from this region are diagnosed and followed-up on in the State of Mato Grosso do Sul, Midwest Brazil.

The present study represents the first report on HCV prevalence and genotypes in HIV-infected individuals in Midwest Brazil. These results suggest that HIV-infected patients are exposed to HCV at a higher rate than the general population and the prevalence of HIV-HCV coinfection is lower than that of other regions in Brazil. Being over 40, absence of a stable partnership, blood transfusion before 1994 and intravenous and non-intravenous drug use play an important role in the transmission of these two viruses.

Furthermore, this data shows that there are only two major circulating genotypes of HCV in Mato Grosso do Sul State: genotype 1 (subtypes 1a and 1b) and genotype 3 (subtype a). This study also reinforces the need for early diagnosis of HCV infection and initiation of appropriate treatments in all HIV-infected individuals, even in the absence of associated factors that suggest parenteral transmission. Further investigations should be conducted on clinical, virological and therapeutic characteristics to elucidate the interaction of HCV-HIV coinfection among these patients.