Effect of opioid-substitution therapy and mental health counseling on HIV risk among hepatitis C-infected individuals.

BACKGROUND: Understanding differences in HIV incidence among people living with hepatitis C virus (HCV) can help inform strategies to prevent HIV infection. We estimated the time to HIV diagnosis among HCV-positive individuals and evaluated factors that could affect HIV-infection risk in this population. PATIENTS AND METHODS: The British Columbia Hepatitis Testers Cohort includes all BC residents (~1.5 million: about a third of all residents) tested for HCV and HIV from 1990 to 2013 and is linked to administrative health care and mortality data. All HCV-positive and HIV-negative individuals were followed to measure time to HIV acquisition (positive test) and identify factors associated with HIV acquisition. Adjusted HRs (aHRs) were estimated using Cox proportional-hazard regression.
RESULTS: Of 36,077 HCV-positive individuals, 2,169 (6%) acquired HIV over 266,883 years of follow-up (overall incidence of 8.1 per 1,000 person years). Overall median (IQR) time to HIV infection was 3.87 (6.06) years. In Cox regression, injection-drug use (aHR 1.47, 95% CI 1.33-1.63), HBV infection (aHR 1.34, 95% CI 1.16-1.55), and being a man who has sex with men (aHR 2.78, 95% CI 2.14-3.61) were associated with higher risk of HIV infection. Opioid-substitution therapy (OST) (aHR 0.59, 95% CI 0.52-0.67) and mental health counseling (aHR 0.48, 95% CI 0.43-0.53) were associated with lower risk of HIV infection.
CONCLUSION: Injection-drug use, HBV coinfection, and being a man who has sex with men were associated with increased HIV risk and engagement in OST and mental health counseling were associated with reduced HIV risk among HCV-positive individuals. Improving access to OST and mental health services could prevent transmission of HIV and other blood-borne infections, especially in settings where access is limited.

Introduction

Hepatitis C virus (HCV) infection and HIV infection commonly co-occur because of shared transmission routes and risk behaviors. Globally, 2.7 million people have HIV–HCV coinfection, and of these 90% are among people who inject drugs (PWID).1 HIV infection among HCV+ individuals is a major predictor of morbidity2,3 and mortality.4,5 Highly effective, well-tolerated, short-course, direct-acting antiviral agents with cure rates approaching 95% have revolutionized the treatment of HCV. These agents could prevent progressive liver disease and hence reduce morbidity and mortality. Prevention of HIV infection by addressing risk factors among people living with HCV or treated for HCV but potentially at risk of HIV could further reduce morbidity and mortality.

Risk factors for HCV coinfection among people living with HIV include injection-drug use (IDU),6 alcohol use,6,7 unsafe sex among gay, bisexual, and other men who have sex with men (MSM),8,9 and social disparities.10 Potential preventive factors for HIV transmission, particularly among PWID, include opioid-substitution therapy (OST),11,12 mental health counseling, and other harm-reduction strategies.12,13 OST and mental health counseling have also been observed to reduce HCV reinfection among PWID.14 However, data on risk factors for HIV among people living with HCV are limited, and the role of preventive factors has not been investigated. Coinfected individuals have multiple co-occurring infections and comorbidities; therefore, data on preventive factors for HIV infection from a real-world setting will inform programs that could reduce the burden of HIV among HCV-infected individuals. In this paper, we present an analysis of a large population-based cohort to estimate the risk of HIV and factors preventing and promoting this risk among people living with HCV in British Columbia.

Patients and methods

Study cohort

The British Columbia Hepatitis Testers Cohort (BC-HTC) includes all individuals (~1.5 million; approximately a third of all BC residents) tested for HCV or HIV at the BC Centre for Disease Control Public Health Laboratory (BCCDC-PHL) or diagnosed with HCV, HBV, HIV/AIDS, or active tuberculosis (TB). This cohort is linked with data on medical visits, hospitalizations, prescription drugs, cancers, and deaths (Tables S1 and S2). Almost all HIV and HCV testing in BC is performed at the BCCDC-PHL. All prescriptions dispensed in BC are recorded in a centralized system called PharmaNet, irrespective of the payer. Detailed characteristics of the cohort, including linkage and related data, are presented elsewhere.15,16 Data linkages were approved by the data stewards of the BCCDC, BCCDC-PHL, BC Ministry of Health, BC Vital Statistics Agency, and BC Cancer Registry. Approval for data linkage with the Ministry of Health data sets was granted under the BCCDC public health mandate to conduct surveillance and program evaluation. Data were deidentified before analyses.15 This study was approved by the Behavioral Research Ethics Board (H15-01776) at the University of British Columbia.

Study population

Individuals diagnosed with HCV during 1990–2013 but negative for HIV were eligible for inclusion in this analysis. Individuals who tested positive for HCV and negative for HIV were followed for new diagnoses of HIV. A person’s time at risk started at HCV diagnosis and ended at HIV diagnosis, December 31, 2013 (end of follow-up), or death, whichever occurred earlier.

Outcome assessment

The outcome variable of interest was a time to HIV infection at least 6 weeks after HCV diagnosis. The date of HIV infection was estimated as the midpoint between the last HIV-negative test and the first HIV+ test.11 All HCV+ individuals who tested positive for HIV on the same day or within 6 weeks of HCV diagnosis were excluded from the analysis.

Definitions

An individual testing positive for HCV antibodies, HCV RNA or genotype, or who had been reported as a case of HCV to public health was considered an “HCV case”.15 Participants who were HCV-antibody+ at their first test on record were considered to have prevalent infection (HCV+-prevalent), while individuals with a negative test followed by a positive test were considered seroconverters (HCV+ seroconverters).16 An individual included in provincial HIV/AIDS-surveillance data or who had a positive HIV laboratory test result was considered a case based on provincial HIV laboratory-test-interpretation guidelines. Additional HIV cases were ascertained through a validated algorithm requiring two medical visits or a hospitalization.17 HBV and active TB diagnoses were based on provincial and national guidelines. Socioeconomic status was assessed using the Québec Index of Material and Social Deprivation, which is based on Canadian census data on small-area units.18 The material component of the index includes indicators for education, employment, and income, whereas the social component comprises indicators related to marital status and family structure. Assessment of IDU, major mental illness, and problematic alcohol use was based on diagnostic codes for medical visits and hospitalizations in respective databases (Table S2). OST was based on prescriptions recorded in PharmaNet. IDU, problematic alcohol use, OST, and mental illnesses were evaluated across all data within the interval between HCV and HIV diagnosis and within 3 years of the first positive or last negative HIV or HCV test. Additionally, OST was evaluated as a time-varying covariate for this analysis. An individual was considered off OST if the interval between two successive prescriptions for OST was >28 days.19 Mental health counseling was defined as any mental health-counseling visit during the follow-up period and was based on fee-item codes from a Medical Services Plan (medical visits; Table S2). Mental health counseling includes services provided by a psychiatrist and comprises individual, family, and group therapy and telehealth services.

Data on sexual orientation were not available for all HCV+ individuals. We developed and validated an algorithm for identification of MSM status in a subset of data (n=5,382) on which sexual orientation variable was available. A model was developed to predict MSM status using penalized generalized linear model with testing patterns for HIV and sexually transmitted infections (STIs), previous STI diagnoses, substance use, visit to a clinic providing services to gay and other bisexual men, and residence in an area with higher percentage of MSM as predictor variables. The selected model had an area under the receiver-operating curve of 0.78%, 91.8% specificity, and 42.0% sensitivity.

Statistical analysis

Characteristics of HCV+-prevalent and HCV+ seroconverters who were followed until HIV seroconversion were described separately. This stratification was done because our previous research showed differences in characteristics between these two populations.16 HCV+-prevalent and HCV+ seroconverters are different in terms of demographic and risk factors. HCV+ seroconverters reflect ongoing risk activities, including IDU, while people with prevalent infection may not be engaged in high-risk activities, as shown in our previous work. HIV–HBV coinfection, major mental illness, illicit-drug use, problematic alcohol use, and socioeconomic deprivation are higher among HCV+ seroconverters than HCV+-prevalent individuals.16 Therefore, transmission risk of HIV may be different in each of these groups, which were selected a priori for stratified analysis to account for differing baseline risk profiles of people. Incidence rates of HIV among HCV+ individuals (all, HCV+-prevalent, and HCV+ seroconverters) were calculated by dividing the number with HIV by person-years at risk. Cumulative-incidence curves were constructed comparing HIV incidence among various groups. Cox proportional-hazard regression analysis was conducted to assess the association of factors with HIV risk, and results summarized using HRs with corresponding 95% CIs. Analyses were performed in SAS/STAT software version 9.4 and R version 3.3.2.

Results

A total of 36,077 HCV+ individuals were eligible for inclusion in our study (Figure 1). Of these, 33,908 (93.9%) had not acquired HIV infection and 2,169 (6.0%) had developed HIV infection during 266,883 person years of follow-up. Among HCV-infected individuals, 30,614 (84.8%) were HCV+-prevalent whereas 5,463 (15.1%) were HCV+ seroconverters (Table 1). A similar proportion of HIV cases were detected among HCV+ seroconverters (6.1%, 334 of 5,463) and HCV+-prevalent individuals (5.9%, 1,835 of 30,614).

Figure 1

Selection of participants for HIV infection analysis in British Columbia, Canada.

Abbreviations: HCV, hepatitis C virus; BC-HTC, British Columbia Hepatitis Testers Cohort.

Table 1

Characteristics of HCV-diagnosed persons followed until time to HIV infection in the BC Hepatitis Testers Cohort

Variables	HCV+ seroconverters, n (%)	HCV+-prevalent, n (%)	Total, n (%)
	5,463 (15.1)	30,614 (84.8)	36,077 (100)
Sex
Female	2,540 (46.5)	10,236 (33.4)	12,776 (35.4)
Male	2,923 (53.5)	20,378 (66.6)	23,301 (64.6)
Sex and sexual orientation
Male, not MSM	2,866 (52.5)	20,017 (65.4)	22,883 (63.4)
Male, yes MSM	57 (1.0)	361 (1.2)	418 (1.2)
Female	2,540 (46.5)	10,236 (33.4)	12,776 (35.4)
Birth year
Before 1945	43 (0.8)	1,715 (5.6)	1,758 (4.9)
1945–1964	1,379 (25.2)	20,489 (66.9)	21,868 (60.6)
After 1964	4,041 (73.9)	8,410 (27.5)	12,451 (34.5)
Age at HCV diagnosis
<15 years	9 (0.2)	146 (0.5)	155 (0.4)
15–24 years	1,193 (21.8)	1,790 (5.9)	2,983 (8.3)
25–34 years	2,200 (40.3)	7,164 (23.4)	9,364 (26)
35–44 years	1,438 (26.3)	11,376 (37.2)	12,814 (35.5)
45–54 years	490 (9)	7,369 (24)	7,859 (21.8)
>54 years	133 (2.4)	2,769 (9)	2,902 (8)
Year of HCV diagnosis
Before 2000	1,105 (20.2)	17,222 (56.3)	18,327 (50.8)
2000–2004	1926 (35.3)	7,236 (23.6)	9,162 (25.4)
2005–2008	1,415 (25.9)	3,644 (11.9)	5,059 (14.0)
2009–2011	730 (13.4)	1,771 (5.8)	2,501 (6.9)
After 2011	287 (5.2)	741 (2.4)	1,028 (2.8)
Urban
Unknown	85 (1.6)	674 (2.2)	759 (2.1)
No	507 (9.3)	3,363 (10.9)	3,870 (10.7)
Yes	4,871 (89.1)	26,577 (86.8)	31,448 (87.2)
Social deprivation quintile at time of test
Unknown	111 (2)	657 (2.2)	768 (2.1)
Q1 (most privileged)	433 (7.9)	2,876 (9.4)	3,309 (9.2)
Q2	535 (9.8)	3,747 (12.2)	4,282 (11.9)
Q3	800 (14.6)	5,099 (16.6)	5,899 (16.3)
Q4	1,100 (20.1)	6,399 (20.9)	7,499 (20.8)
Q5 (most deprived)	2,484 (45.5)	11,836 (38.7)	14,320 (39.7)
Material deprivation quintile at time of test
Unknown	111 (2)	657 (2.2)	768 (2.1)
Q1 (most privileged)	641 (11.7)	3,728 (12.2)	4,369 (12.1)
Q2	751 (13.7)	4,635 (15.1)	5,386 (14.9)
Q3	869 (15.9)	5,347 (17.4)	6,216 (17.2)
Q4	1,315 (24.1)	6,944 (22.7)	8,259 (22.9)
Q5 (most deprived)	1,776 (32.5)	9,303 (30.4)	11,079 (30.7)
Illicit-drug usea
No	2,298 (42.1)	23,352 (76.3)	25,650 (71.1)
Yes	3,165 (57.9)	7,262 (23.7)	10,427 (28.9)
IDUa
No	3,249 (59.5)	26,000 (84.9)	29,249 (81.1)
Yes	2,214 (40.5)	4,614 (15.1)	6,828 (18.9)
OSTa
No	4,079 (74.7)	27,903 (91.1)	31,982 (88.6)
Yes	1,384 (25.3)	2,711 (8.9)	4,095 (11.4)
Major mental illnessa
No	4,213 (77.1)	27,595 (90.1)	31,808 (88.2)
Yes	1,250 (22.9)	3,019 (9.9)	4,269 (11.8)
Depressiona
No	3,238 (59.3)	23,426 (76.5)	26,664 (73.9)
Yes	2,225 (40.7)	7,188 (23.5)	9,413 (26.1)
Psychosisa
No	5,091 (93.2)	29,790 (97.3)	34,881 (96.7)
Yes	372 (6.8)	824 (2.7)	1,196 (3.3)
Problematic alcohol usea
No	4,502 (82.4)	27,418 (89.6)	31,920 (88.5)
Yes	961 (17.6)	3,196 (10.4)	4,157 (11.5)
Active TBa
No	5,458 (99.9)	30,585 (99.9)	36,043 (99.9)
Yes	5 (0.1)	29 (0.1)	34 (0.1)
Hepatitis Ba
No	5,368 (98.3)	30,311 (99.0)	35,679 (98.9)
Yes	95 (1.7)	303 (1.0)	398 (1.1)
Illicit-drug useb
No	1,614 (29.5)	16,884 (55.1)	18,498 (51.3)
Yes	3,849 (70.5)	13,730 (44.8)	17,579 (48.7)
IDUb
No	2,561 (46.9)	20,626 (67.3)	23,187 (64.3)
Yes	2,902 (53.1)	9,988 (32.6)	12,890 (35.7)
OSTb
No	2,840 (51.9)	22,925 (74.9)	25,765 (71.4)
Yes	2,623 (48.0)	7,689 (25.1)	10,312 (28.6)
Major mental illnessb
No	3,767 (69.0)	23,779 (77.7)	27,546 (76.3)
Yes	1,696 (31.0)	6,835 (22.3)	8,531 (23.6)
Depressionb
No	2,647 (48.4)	17,049 (55.7)	19,696 (54.6)
Yes	2,816 (51.5)	13,565 (44.3)	16,381 (45.4)
Psychosisb
No	4,841 (88.6)	28,447 (92.9)	33,288 (92.3)
Yes	622 (11.3)	2,167 (7.0)	2,789 (7.7)
Mental health counselingb
No	3,422 (62.6)	22,405 (73.2)	25,827 (71.6)
Yes	2041 (37.4)	8,209 (26.8)	10,250 (28.4)
Mental health-counseling visitsb
0	3,422 (62.6)	22,405 (73.2)	25,827 (71.6)
1	417 (7.6)	1,725 (5.6)	2,142 (5.9)
≥2	1,624 (29.7)	6,484 (21.2)	8,108 (22.5)
Problematic alcohol useb
No	4,176 (76.4)	24,065 (78.6)	28,241 (78.3)
Yes	1,287 (23.5)	6,549 (21.4)	7,836 (21.7)
Active TBb
No	5,452 (99.8)	30,497 (99.6)	35,949 (99.6)
Yes	11 (0.20)	117 (0.3)	128 (0.3)
Hepatitis Bb
No	5,261 (96.3)	28,893 (94.3)	34,154 (94.6)
Yes	202 (3.7)	1,721 (5.6)	1923 (5.3)

Note:

Within 3 years of first positive or last negative HIV or HCV test;

risk factor/disease history in interval between HCV and HIV diagnosis.

Abbreviations: HCV, hepatitis C virus; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.

Distribution of characteristics across HIV and HCV groups

The majority of HCV-infected individuals were male: 66.6% of HCV+-prevalent individuals and 53.5% of HCV+ serocon-verters. Most of the HCV+-prevalent individuals were born during 1945–1964 (66.9%) and diagnosed between 35 and 54 years of age, whereas the majority of HCV+ seroconverters were born after 1964 (73.9%) and diagnosed between the ages of 25 and 44 years (Table 1). The majority of HCV+-prevalent individuals (86.8%) and HCV+ seroconverters (89.1%) lived in urban areas. The majority of HCV+ individuals were materially and socially deprived; however, HCV+ seroconverters were more socially (45.5% vs 38.7%: fifth quintile) and materially (32.5% vs 30.4%: fifth quintile) deprived than HCV+-prevalent individuals. A higher proportion of HCV+ seroconverters had a history of illicit drug use (57.9% vs 23.7%), IDU (40.5% vs 15.1%), and problematic alcoholic use (17.6% vs 10.4%) compared to HCV+-prevalent individuals. Similarly, compared to HCV+-prevalent individuals, HCV+ seroconverters had a higher proportion of major mental illnesses (22.9% vs 9.9%), depression (40.7% vs 23.5%), and psychosis (6.8% vs 2.7%). HBV was more commonly diagnosed in HCV+-prevalent individuals (5.6%) than HCV+ seroconverters (3.7%; Table 1). A similar trend was observed for these factors within 3 years of the first positive or last negative HIV or HCV test (Table 1).

Incidence of HIV infection by HCV group

The overall HIV-incidence rate among HCV+ individuals was 8.1/1,000 person-years for a total of 266,883 person-years of follow-up. The HIV-incidence rate among HCV+ seroconverters was higher (10.2/1,000 person-years) compared to those with prevalent HCV infection (7.8/1,000 person-years) at diagnosis. Overall median (interquartile range [IQR]) time to HIV infection was 3.87 (6.06) years, shorter for seroconverters (3.63) years than prevalent HCV infections (3.95 years; Table 2). Being male, having a history of IDU, mental illness, HBV, MSM status, younger age, and urban residence were associated with a higher incidence rate of HIV; however, the magnitude was lower among HCV+-prevalent individuals than HCV+ seroconverters. People on OST and receiving mental health counseling had lower HIV incidence for both HCV+ seroconverters and HCV+-prevalent individuals (Table 2).

Table 2

HIV incidence per 1,000 person-years by HCV group, BC Hepatitis Testers Cohort, 1990–2013

Variables	HCV infection		HCV+ seroconverters		HCV+-prevalent
	n/person-years	Incidence (95% CI)	n/person-years	Incidence (95% CI)	n/person-years	Incidence (95% CI)
All HIV cases	2,169/266,883.0	8.1 (7.8–8.5)	334/32,646.2	10.2 (9.2–11.4)	1,835/234,236.8	7.8 (7.5–8.2)
Sex and sexual orientation
Female	723/95,668.7	7.6 (7.0–8.1)	157/15,284.1	10.3 (8.8–12.0)	566/80,384.6	7.0 (6.5–7.6)
Male, not MSM	1,385/168,363.2	8.2 (7.8–8.7)	164/17,139.1	9.6 (8.2–11.2)	1,221/151,224.0	8.1 (7.6–8.5)
Male, yes MSM	61/2,851.2	21.4 (16.6–27.5)	13/223.0	58.3 (33.9–100.4)	48/2,628.2	18.3 (13.8–24.2)
IDUa
No	996/145,739.8	6.8 (6.4–7.3)	117/11,770.4	9.9 (8.3–11.9)	879/133,969.4	6.6 (6.1–7.0)
Yes	1,173/121,143.2	9.7 (9.1–10.3)	217/20,875.8	10.4 (9.1–11.9)	956/100,267.5	9.5 (8.9–10.2)
Drug misusea
No	756/108,458.6	7.0 (6.5–7.5)	86/6,419.7	13.4 (10.8–16.5)	670/102,038.9	6.6 (6.1–7.1)
Yes	1,413/158,424.4	8.9 (8.5–9.4)	248/26,226.5	9.5 (8.3–10.7)	1,165/132,198.0	8.8 (8.3–9.3)
OSTa
No	1,564/172,755.8	9.1 (8.6–9.5)	211/15,125.9	13.9 (12.2–16.0)	1,353/157,630.0	8.6 (8.1–9.1)
Yes	605/94,127.2	6.4 (5.9–7.0)	123/17,520.3	7.0 (5.9–8.4)	482/76,606.9	6.3 (5.8–6.9)
Major mental illnessa
No	1,652/183,921.6	9.0 (8.6–9.4)	229/20,043.6	11.4 (10.0–13.0)	1,423/163,878.0	8.7 (8.2–9.1)
Yes	517/82,961.4	6.2 (5.7–6.8)	105/12,602.6	8.3 (6.9–10.1)	412/70,358.8	5.9 (5.3–6.4)
Mental health counselinga
No	1,602/167,550.9	10.0 (9.6–10.5)	213/17,516.5	12.2 (10.6–13.9)	1,389/150,034.4	9.3 (8.8–9.8)
Yes	567/99,332.1	5.7 (5.3–6.2)	121/15,129.7	8.0 (6.7–9.6)	446/84,202.4	5.3 (4.8–5.8)
Mental health-counseling visitsa
No	1,602/167,550.9	9.6 (9.1–10.0)	213/17,516.5	12.2 (10.6–13.9)	1,389/150,034.4	9.3 (8.8–9.8)
1	136/19,473.1	7.0 (5.9–8.3)	27/2,987.4	9.0 (6.2–13.2)	109/16,485.7	6.6 (5.5–8.0)
≥2	431/79,859.1	5.4 (4.9–5.9)	94/12,142.3	7.7 (6.3–9.5)	337/67,716.8	5.0 (4.5–5.5)
Depressiona
No	1,358/107,657.1	12.6 (12.0–13.3)	195/11,229.2	17.4 (15.1–20.0)	1,163/96,427.9	12.1 (11.4–12.8)
Yes	811/159,225.9	5.1 (4.8–5.5)	139/21,417.0	6.5 (5.5–7.7)	672/137,808.9	4.9 (4.5–5.3)
Psychosisa
No	1,989/239,710.5	8.3 (7.9–8.7)	291/28,040.2	10.4 (9.3–11.6)	1,698/211,670.3	8.0 (7.6–8.4)
Yes	180/27,172.6	6.6 (5.7–7.7)	43/4,606.0	9.3 (6.9–12.6)	137/22,566.6	6.1 (5.1–7.2)
Problematic alcohol usea
No	1,569/189,785.2	8.3 (7.9–8.7)	240/22,458.1	10.7 (9.4–12.1)	1,392/167,327.1	7.9 (7.5–8.4)
Yes	600/77,097.8	7.8 (7.2–8.4)	94/10,188.1	9.2 (7.5–11.3)	506/66,909.7	7.6 (6.9–8.3)
Active TBa
No	2,161/265,687.8	8.1 (7.8–8.5)	333/32,560.2	10.2 (9.2–11.4)	1,828/233,127.6	7.8 (7.5–8.2)
Yes	8/1,195.3	6.7 (3.3–13.4)	1/86.0	11.6 (1.6–82.6)	7/1,109.3	6.3 (3.0–13.2)
Hepatitis Ba
No	1,963/247,851.2	7.9 (7.6–8.3)	306/31,047.4	9.9 (8.8–11.0)	1,657/216,803.8	7.6 (7.3–8.0)
Yes	206/19,031.8	10.8 (9.4–12.4)	28/1,598.7	17.5 (12.1–25.4)	178/17,433.1	10.2 (8.8–11.8)
Sex
Female	723/95,668.7	7.6 (7.0–8.1)	157/15,284.1	10.3 (8.8–12.0)	566/80,384.6	7.0 (6.5–7.6)
Male	1,446/171,214.4	8.4 (8.0–8.9)	177/17,362.1	10.2 (8.8–11.8)	1,269/153,852.2	8.2 (7.8–8.7)
Age at HCV diagnosis
<15 years	7/1,324.1	5.3 (2.5–11.1)	2/61.3	32.6 (8.2–130.4)	5/1,262.8	4.0 (1.6–9.5)
15–24 years	307/23,752	12.9 (11.6–14.5)	105/8,300.6	12.6 (10.4–15.3)	202/15,451.4	13.1 (11.4–15.0)
25–34 years	802/76,680.7	10.5 (9.8–11.2)	115/13,608.7	8.5 (7.0–10.1)	687/63,072.0	10.9 (10.1–11.7)
35–44 years	788/102,562.8	7.7 (7.2–8.2)	88/7,925.6	11.1 (9.0–13.7)	700/94,637.2	7.4 (6.9–8.0)
45–54 years	233/49,692.8	4.7 (4.1–5.3)	21/2,337.0	9.0 (5.9–13.8)	212/47,355.8	4.5 (3.9–5.1)
>54 years	32/12,870.7	2.5 (1.8–3.5)	3/413.1	7.3 (2.3–22.5)	29/12,457.7	2.3 (1.6–3.3)
Year of HCV diagnosis
Before 2000	1,578/181,223.5	8.7 (8.3–9.1)	121/10,640.8	11.4 (9.5–13.6)	1,457/170,582.6	8.5 (8.1–9.0)
2000–2004	421/60,871.4	6.9 (6.3–7.6)	150/13,998.1	10.7 (9.1–12.6)	271/46,873.3	5.8 (5.1–6.5)
2005–2008	122/19,485	6.3 (5.2–7.5)	45/6,213.6	7.2 (5.4–9.7)	77/13,271.3	5.8 (4.6–7.3)
2009–2011	41/4,769.9	8.6 (6.3–11.7)	17/1,606.7	10.6 (6.6–17.0)	24/3,163.1	7.6 (5.1–11.3)
After 2011	7/533.4	13.1 (6.3–27.5)	1/186.8	5.4 (0.8–38.0)	6/346.5	17.3 (7.8–38.5)
Urban
No	143/26,828.1	5.3 (4.5–6.3)	25/3,009.0	8.3 (5.6–12.3)	118/23,819.2	5.0 (4.1–5.9)
Yes	2,007/236,434.3	8.5 (8.1–8.9)	309/29,192.7	10.6 (9.5–11.8)	1,698/207,241.5	8.2 (7.8–8.6)
Unknown	19/3,260.6	5.2 (3.3–8.2)	0	0	19/3,176.1	6.0 (3.8–9.4)

Note:

History of disease/risk factor in interval between HCV diagnosis and HIV diagnosis.

Abbreviations: BC, British Columbia; HCV, hepatitis C virus; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.

The cumulative incidence of HIV increased with time for both IDU and non-IDU, but the increase was steeper for IDU (P<0.0001; Figure 2). Cumulative incidence of HIV increased with time in MSM, but was similar between females and males who did not have sex with men (Figure 2). For individuals who were on OST, the cumulative incidence of HIV was much lower than those who were not on OST and decreased with time (Figure 2). The cumulative incidence of HIV increased with time among those who received mental health counseling, as well as among those who did not receive mental health counseling, but the increase was more pronounced in those who did not receive mental health counseling (Figure 2).

Figure 2

Cumulative incidence of HIV, British Columbia Hepatitis Testers Cohort, 1990–2013.

Note: (A) By injection-drug use; (B) by sex and sexual orientation; (C) by opioid-substitution therapy; and (D) by mental health counseling.

Abbreviation: MSM, men who have sex with men.

Factors associated with risk of HIV infection among HCV-infected individuals

In the multivariable Cox proportional-hazard model for all HCV diagnoses, MSM status (adjusted HR 2.78, 95% CI 2.14–3.61), urban residence (adjusted HR 1.45, 95% CI 1.22–1.72), IDU (adjusted HR 1.47, 95% CI 1.33–1.63), HBV (adjusted HR 1.34, 95% CI 1.16–1.55), and lower age at HCV diagnosis were significantly associated with increased risk of HIV infection. Conversely, being on OST (adjusted HR 0.59, 95% CI 0.52–0.67) and having received mental health counseling (adjusted HR 0.48, 95% CI 0.43–0.53) were associated with reduced risk of HIV (Table 3). In a sensitivity analysis conducted using the number of mental health-counseling visits per year, an increase in the number of visits was associated with a linear increase in the reduction of HIV risk for overall HCV+ and HCV+-prevalent individuals, but not for HCV+ seroconverters (Table S3).

Table 3

Multivariable Cox regression analysis of factors associated with time to HIV infection in the BC Hepatitis Testers Cohort

	HCV infection		HCV+ seroconverters		HCV+-prevalent
	Adjusted HR	95% CI	Adjusted HR	95% CI	Adjusted HR	95% CI
Age at HCV diagnosis
<25 years	2.38	2.00–2.82	1.32	0.83–2.08	2.10	1.72–2.55
25–34 years	1.95	1.69–2.25	0.81	0.51–1.27	2.14	1.84–2.50
35–44 years	1.58	1.37–1.82	1.23	0.78–1.95	1.47	1.27–1.71
≥45	1		1		1
Year of HCV diagnosis
Before 2000	1.37	0.65–2.91	4.68	0.64–34.08	0.97	0.43–2.19
2000–2004	0.78	0.37–1.67	3.15	0.43–22.88	0.60	0.26–1.36
2005–2008	0.7	0.32–1.51	2.01	0.27–14.77	0.49	0.21–1.14
2009–2011	0.81	0.36–1.82	2.31	0.30–17.54	0.57	0.23–1.40
After 2011	1		1		1
Urban
No	1		1		1
Yes	1.45	1.22–1.72	1.19	0.79–1.80	1.47	1.22–1.78
Unknown	0.75	0.45–1.24	0	0	0.86	0.51–1.44
Sex and sexual orientation
Male, not MSM	1		1		1
Male, yes MSM	2.78	2.14–3.61	5.62	3.12–10.14	2.60	1.93–3.48
Female	0.81	0.73–0.89	0.96	0.76–1.20	0.79	0.71–0.88
HIV tests per year	1.57	1.54–1.59	1.46	1.41–1.51	2.01	1.96–2.06
IDUa
No	1		1		1
Yes	1.47	1.33–1.63	1.13	0.87–1.47	1.61	1.45–1.79
OSTa	0.59	0.52–0.67	0.67	0.50–0.91	0.56	0.48–0.65
Problematic alcohol usea
No	1		1		1
Yes	0.99	0.89–1.10	0.99	0.77–1.29	0.84	0.75–0.94
Mental health counselinga
No	1		1		1
Yes	0.48	0.43–0.53	0.56	0.44–0.72	0.44	0.39–0.50
Active TBa
No	1		1		1
Yes	0.8	0.40–1.61	1.47	0.20–10.60	0.77	0.37–1.63
Hepatitis Ba
No	1		1		1
Yes	1.34	1.16–1.55	1.85	1.24–2.75	1.27	1.08–1.48
Material deprivation quintile at time of test
Q1 (most privileged)	1		1		1
Q2	0.69	0.58–0.82	0.67	0.44–1.02	0.92	0.76–1.11
Q3	0.73	0.61–0.86	0.68	0.46–1.02	0.81	0.67–0.98
Q4	0.85	0.73–0.99	0.68	0.47–0.99	0.96	0.81–1.13
Q5 (most deprived)	1.09	0.95–1.25	0.72	0.51–1.02	1.23	1.06–1.43
Unknown	1.54	1.13–2.11	0.24	0.54–0.19	1.88	1.35–2.62

Note:

History of disease/risk factor in interval between HCV diagnosis and HIV diagnosis.

Abbreviations: BC, British Columbia; HCV, hepatitis C virus; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.

In the model restricted to HCV+ seroconverters, a similar pattern emerged as for all HCV diagnoses; however, the magnitude of the HRs was larger than in the model restricted to HCV+-prevalent individuals for MSM status and HBV infection (Table 3). No association was found between urban residence and HIV infection among HCV+ seroconverters. In analysis on HCV+-prevalent individuals, age at HCV diagnosis, urban residence, MSM, and IDU were significantly associated with risk of HIV infection. However, the strength of association for IDU and material deprivation was higher among HCV+-prevalent individuals than that for HCV+ seroconverters. In addition, the effect of OST and mental health counseling on risk of HIV infection was more pronounced among HCV+-prevalent individuals compared to HCV+ seroconverters (Table 3). The interaction of OST and mental health counseling was not significant (P=0.075). In addition, we evaluated the effectiveness of mental health counseling among HCV+ people with mental illness and without mental illness separately. Among people who had major mental illness, there was a 61% reduction in the risk of HIV compared to a 44% reduction in HIV risk among those who did not have history of major mental illness (Table S4).

Discussion

In this large population-based cohort study in a setting of widespread OST availability, the incidence of HIV infection was higher among HCV+ seroconverters than HCV+-prevalent individuals. The risk of HIV infection was higher among MSM, PWID, urban residents, and those with HBV coinfection. OST and engagement in mental health counseling significantly reduced the risk of acquiring HIV infection. These interventions have important implications in prevention of HIV transmission in various settings globally.

Although earlier studies have identified a lower risk of HIV among PWID on OST,11,12 to our knowledge, this is the first study examining the association of OST and mental health counseling on the risk of HIV among HCV+ individuals in a large population-based cohort. We showed that OST was associated with a 41% reduction and mental health counseling with a 52% reduction in HIV risk among HCV+ individuals. A systematic review and meta-analysis of the effect of OST and HIV transmission reported a 54% reduction in HIV risk among PWID,12 whereas another study from BC on methadone maintenance therapy and HIV-infection risk reported a reduction of 36% among PWID.11 However, both of these studies included PWID who did not have HCV infection or had not been tested for HCV. These interventions, coupled with other harm-reduction activities like syringe distribution and the expansion of safe injection sites, could have a major impact on HIV-infection risk among HCV+ populations, particularly PWID.

Currently, OST is available as a low-threshold treatment across most regions of BC for the management of opioid addiction. However, the availability of OST is limited in many settings, including developed and developing countries across the world. Globally, an estimated 6%–12% of PWID receive OST,20 though coverage is even lower among countries with emerging epidemics of HIV among PWID. A survey of 21 of these countries from different regions of the world on HIV-prevention and treatment-service availability reported OST coverage of <3% among PWID.21 In addition, mental health-services provision for the general population, especially in low- and middle-income countries is limited,22 and is even lower for people with substance-use disorders,23 particularly PWID. Data from the World Mental Health Survey estimate that only 1% of people with substance-use disorders in low-and middle-income countries have treatment coverage for these disorders.23 Treatment of mental illnesses among PWID has been identified as an important part of HIV prevention.24 In this context, mental health counseling plays an important role in HIV prevention. Psychotherapy, particularly behavioral interventions, similar to the effect of OST, has been shown to reduce HIV-acquisition risk in a number of studies on MSM25 and PWID.26,27 However, varying evidence exists on the efficacy of single vs multiple psychosocial interventions and educational interventions. Some meta-analyses support single-session behavioral interventions28 for preventing STIs, including HIV, whereas another meta-analysis reported reduction in HIV-risk behavior in PWID with multiple sessions and educational interventions.26 Our study provides evidence with respect to continued psychosocial support for reduction in HIV risk in a high-risk population of HCV-infected individuals. However, the linear relationship between reduction in HIV risk and the number of mental health-counseling visits was not apparent for HCV+ seroconverters (Table S3). As HCV+ seroconverters exhibit higher-risk behavior like active IDU, the effect of repeated mental health-counseling visits on reducing HIV risk may have been diluted. Additionally, individuals with more severe mental disorders like schizophrenia and bipolar disorder are less likely to attend followup visits for mental health care, due to mental illness-related stigma.29,30 HCV+ seroconverters in our study had a higher proportion of major mental illness, which includes disorders like schizophrenia and bipolar disorder, and may have been less likely to continue with mental health counseling. However, all studies recommend a combination of HIV-prevention strategies to maximize the effect of psychosocial interventions on HIV-risk reduction.25–28 The availability and use of OST, along with mental health counseling and coupled with other harm-reduction interventions, could reduce the risk of such blood-borne infections as HIV, as shown in this study. Similar interventions have shown the potential to reduce the risk of HCV in previous research.14,31,32

In our cohort, 6% of HCV-infected individuals developed HIV infection, with an incidence rate of 8.1/1,000 person years. However, there are no data on HIV incidence among HCV-infected populations. Studies reporting HIV incidence present estimates of 1.66–6.23/100 person-years among PWID33 and as high as 35.2/100 person-years among MSM.34 This wider range of estimates could be due to differences in study populations, follow-up time, testing patterns, risk activities, and availability and impact of harm-reduction programs and interventions.

HCV+ seroconverters had a higher incidence of HIV infection compared to HCV+-prevalent individuals. This relates to differences in the magnitude of risk factors and population composition, which varied across these two groups. HCV+ seroconverters were younger, more socially and materially deprived, and had higher illicit-drug use, IDU, and major mental illnesses than HCV+-prevalent individuals. Seroconverters have higher-risk behavior, which is why they are followed for testing and detected as seroconverters, while prevalent infections represent a mix of high- and low-risk individuals. This may explain the difference between seroconverters and prevalent individuals in terms of magnitude of their risk activities.

In our study, being MSM was associated with a higher risk of HIV infection.35 IDU and high-risk sexual behavior among MSM have been documented as major predictors for acquisition of HIV.36 “Chemsex” or sexualized drug use among MSM has been associated with higher risk-taking behaviors and STIs, including HIV and HCV infection.37 However, MSM among HCV+ seroconverters were at higher risk of HIV than MSM among HCV+-prevalent individuals. As stated, in our cohort, HCV+ seroconverters were younger and had a higher proportion of IDU, problematic alcohol use, and mental illness. Previous studies have reported a high incidence of HIV among young MSM,38 especially related to drug use39 and unprotected sex.40 Services addressing substance use and mental illness in a stigma-free environment may reduce the risk of subsequent HIV infection among MSM.41,42

In our cohort, HIV indicator conditions, namely TB and HBV, were significantly associated with a higher risk of HIV.43 Among these diseases, HBV has historically been a marker for behavior associated with potentially increased risk of HIV transmission. This represents an opportunity for early detection and treatment of HIV to reduce HIV-related morbidity and transmission.44

Our outcome variable, time to HIV infection, also included individuals who did not have a last negative HIV test prior to a first HIV-positive test; however, a sensitivity analysis conducted after removal of these individuals yielded similar results as our main model (Table S5). Mental health counseling in BC is covered through a Medical Services Plan which includes all services that are billed by health care providers. However, if a service was provided without a fee from a service provider, then this information would not be captured and may lead to an underestimation of receipt of counseling services. Additionally, mental health counseling does not differentiate between the severity and type of mental illnesses/conditions and may not have the same effect in all high-risk populations. The major mental illness variable is based on a psychiatric visit, may include more severe mental illness diagnosis, and may underestimate mental illness and lead to misclassification of mental illness. Also, as these indicators are based on administrative databases, there is a possibility of misclassification. However, as expected, results showed stronger impact among those with mental illness compared to those without documented major mental illness (Table S4). The assessment of such risk factors as IDU and problematic alcohol use was based on diagnostic codes in administrative health-services databases. Our definitions were based on validations done previously;45 however, there could be some misclassification and underestimation of effect. Furthermore, some of the interactions could not be evaluated, because of smaller samples, eg, MSM and IDU. All prescriptions that are dispensed in BC are recorded in a centralized system including OST, thereby capturing all dispensed OST. As causal inferences based on intervention effects in observational studies are prone to biases, future research using experimental designs is needed to validate our findings.

Conclusion

In this large population-based cohort of HCV-infected individuals, HCV+ seroconverters, PWID, MSM, and those coinfected with HBV had a higher risk of HIV infection, while OST and mental health counseling were associated with reduced risk of HIV. These data provide further support for the role of OST and mental health services in reducing transmission of blood-borne infections. Improving access to OST and mental health services could prevent transmission of HIV and other blood-borne infections, especially in settings where access is limited.

Table S1

Criteria and data sources for the BC Hepatitis Testers Cohort (BC-HTC)

Criteria for inclusion in BC-HTC
All individuals:
• tested at centralized provincial laboratory for HCV or HIV, or
• reported by BC public health as a confirmed case of HCV, or
• reported in BC enhanced-surveillance system as a confirmed case of HIV or AIDS (all reports), or
• reported by BC public health as a confirmed case of HBV, or
• included in BC Enhanced Strain Surveillance System (EHSSS) as an acute HBV or HCV case.
All individuals meeting at least one of these criteria were linked internally across all their tests and case reports. Those with a valid personal health number (PHN) were then sent for deterministic linkage with province-wide cancer and Ministry of Health (MoH) data sets.
Provincial communicable-disease data sources	Data date ranges
BCCDC-PHL HIV laboratory-testing data sets (tests: ELISA, Western blot, NAAT, p24, culture)	1988–2013
BCCDC-PHL HCV laboratory-testing data sets (tests: antibody, HCV RNA, genotyping)	1992–2013
HIV/AIDS Information System (HAISYS) (public health HIV/AIDS case reports)	1980–2013
Integrated Public Health information System (iPHIS; public health case reports of HCV, HBV, and TB)	1990–2013
Enhanced Strain Surveillance System (EHSSS; risk-factor data on a subset of acute HCV and acute HBV cases)	2000–2013
Cancer and MoH administrative data sources	Data date ranges
BC Cancer Registry (BCCR; primary tumor registry, excludes metastatic cancers)	1970–2012
Discharge Abstracts Dataset (DAD; hospitalization records)1	1985–2013Q1
Medical Services Plan (MSP; physician diagnostic and billing data)2	1990–2012
PharmaCare/PharmaNet (Pharma; prescription-drug dispensations)3,4	1985–2012
BC Vital Statistics (VS; deaths registry)5	1985–2013
The final BC-HTC comprises all individuals successfully linked on PHN to the MoH Client Roster6 (a registry of all BC residents enrolled in the publicly funded universal health care system).

Abbreviations: BC, British Columbia; BCCDC-PHL, BC Centre for Disease Control Public Health Laboratory; ELISA, enzyme-linked immunosorbent assay; HCV, hepatitis C virus; NAAT, nucleic acid amplification test; TB, tuberculosis.

Table S2

Definitions for comorbid conditions in the BC Hepatitis Testers Cohort (BC-HTC)

1. Major mental illness diagnosis

Major mental illness flagged at first occurrence of either one hospitalization diagnostic code or two MSP diagnostic codes from a psychiatrist visit for schizophrenic, bipolar, delusional, inorganic psychotic, adjustment, anxiety, dissociative, personality, and major depressive disorders

Physician billing data: MSP ICD9 diagnostic codes starting with 295–298, 300–301, 308–309, 311 and claim specialty 3

Hospitalization data: DAD1/ICD9-CM: starting with 295–298, 300–301, 308–309, 311; DAD2/ICD10-CA: starting with F20–F25, F28–F34, F38–F45, F48, F60–F61

2. Problematic alcohol use

Problematic alcohol use defined at first occurrence of one MSP or one hospitalization code for major alcohol-related diagnoses, including alcoholic mental disorders and dependence/abuse syndromes, alcoholic polyneuropathy, myopathy, cardiomyopathy, pseudo-Cushing’s syndrome, or discharge to alcohol rehabilitation, counseling, or surveillance

Physician billing data: MSP ICD9 diagnostic codes starting with 291, 303, 3050, 3575, 4255

Hospitalization data: DAD1/ICD9-CM starting with 291, 303, 3050, 3575, 4255; DAD2/ICD10-CA starting with F10, E244, G312, G621, G721, I426, Z502, Z714

3. Illicit-drug use

Illicit-drug use defined at first occurrence of one MSP or one hospitalization diagnostic code for major drug-related diagnoses involving addiction, dependence, and drug-induced mental disorders, illicit drug use, or illicit use of prescribed drugs, including hallucinogens, barbiturates/tranquillizers, sedatives, hypnotics, anxiolytics, opioids, cocaine, amphetamine, and volatile solvents, or discharge to drug rehabilitation, counseling, surveillance, or methadone/buprenorphine substitution treatment

Physician billing data: MSP ICD9 diagnostic codes starting with 292, 304, 3053–3057 or exact codes V6542 or 39

Hospitalization data: DAD1/ICD9-CM starting with 292, 304, 3053–3057 or exact code V6542; DAD2/ICD10 CA starting with F11–F16, F18–F19, Z715, Z503

4. Mental health counseling

Mental health counseling and rehabilitation defined at first occurrence of one MSP fee-item code for consultations and psychotherapy sessions related to mental health problems within study period

MSP fee-item code: 600–699, 60607–60645

5. Opioid-substitution therapy

Opioid-substitution therapy defined at first occurrence of two MSP codes or one PharmaNet DIN/PIN code for methadone/buprenorphine substitution treatment

Physician billing data: MSP ICD9 fee item 39

PharmaNet DIN/PIN: 2242963, 2242964, 999792, 66999990-3, 66999997, 66999998, 66999999, 67000000, 2295695, 2295709

Abbreviations: BC, British Columbia; MSP, Medical Services Plan; DIN, drug-identification number; PIN, product-identification number; DAD, Discharge Abstract Database; ICD, International Classification of Diseases.

Table S3

Multivariable Cox regression analysis of factors associated with time to HIV infection in the BC Hepatitis Testers Cohort

Variables	HCV infection		HCV+ seroconverters		HCV+-prevalent
	Adjusted HR	95% CI	Adjusted HR	95% CI	Adjusted HR	95% CI
Age at HCV diagnosis
<25 years	2.36	1.99–2.80	1.32	0.83–2.09	2.07	1.70–2.52
25–34 years	1.95	1.69–2.25	0.79	0.51–1.26	2.13	1.83–2.48
35–44 years	1.58	1.37–1.82	1.23	0.78–1.95	1.47	1.26–1.71
≥45 years	1		1		1
Year of HCV diagnosis
Before 2000	1.37	0.65–2.90	4.71	0.64–34.27	0.97	0.43 -2.19
2000–2004	0.78	0.36–1.66	3.16	0.43–22.95	0.60	0.26–1.36
2005–2008	0.70	0.32–1.51	2.02	0.27–14.84	0.49	0.21–1.14
2009–2011	0.81	0.36–1.82	2.32	0.30–17.58	0.57	0.23–1.40
After 2011	1		1		1
Urban
No	1		1		1
Yes	1.45	1.22–1.72	1.19	0.79–1.80	1.48	1.23–1.79
Unknown	0.75	0.45–1.24	0	0	0.87	0.52–1.46
Sex and sexual orientation
Male, not MSM	1		1		1
Male, yes MSM	2.78	2.14–3.61	5.63	3.12–10.15	2.61	1.94–3.50
Female	0.81	0.74–0.89	0.96	0.76–1.20	0.79	0.71–0.88
HIV tests per year	1.56	1.54–1.59	1.46	1.41–1.51	2.02	1.97–2.06
IDUa
No	1		1		1
Yes	1.48	1.34–1.63	1.13	0.86–1.46	1.63	1.46–1.81
OSTa	0.59	0.52–0.67	0.67	0.50–0.91	0.55	0.48–0.64
Problematic alcohol usea
No	1		1		1
Yes	1	0.90–1.10	0.99	0.76–1.28	0.85	0.76–0.96
Mental health-counseling visitsa
No	1		1		1
1	0.52	0.43–0.62	0.53	0.35–0.81	0.62	0.51–0.76
≥2	0.46	0.41–0.52	0.57	0.44–0.75	0.40	0.35–0.46
Active TBa
No	1		1		1
Yes	0.80	0.40–1.61	1.48	0.20–10.65	0.77	0.36–1.62
Hepatitis Ba
No	1		1		1
Yes	1.34	1.16–1.55	1.84	1.24–2.74	1.27	1.08–1.48
Material deprivation quintile at time of test
Q1 (most privileged)	1		1		1
Q2	0.69	0.58–0.82	0.67	0.44–1.01	0.92	0.77–1.11
Q3	0.72	0.61–0.86	0.68	0.46–1.02	0.81	0.67–0.98
Q4	0.85	0.73–0.99	0.68	0.47–0.99	0.96	0.81–1.13
Q5 (most deprived)	1.08	0.94–1.24	0.73	0.51–1.03	1.23	1.06–1.44
Unknown	1.54	1.13–2.11	0.54	0.19–1.51	1.89	1.35–2.63

Notes: Sensitivity analysis using number of mental health-counseling visits per year.

History of disease/risk factor in interval between HCV diagnosis and HIV diagnosis.

Abbreviations: BC, British Columbia; HCV, hepatitis C virus; HR, hazard ratio; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.

Table S4

Multivariable Cox regression analysis of factors associated with time to HIV infection in the BC Hepatitis Testers Cohort stratified by major mental illness

Variables	Individuals with major mental illness		Individuals without major mental illness
	HCV infection		HCV infection
	Adjusted HR	95% CI	Adjusted HR	95% CI
Age at diagnosis
<25 years	1.52	1.06–2.20	2.68	2.21–3.25
25–34 years	1.41	1.03–1.92	2.08	1.77–2.45
35–44 years	1.28	0.94–1.73	1.65	1.41–1.94
≥45 years	1		1
Year of diagnosis
Before 2000	0a	0	1.46	0.69–3.09
2000–2004	0	0	0.75	0.35–1.59
2005–2008	0	0	0.69	0.32–1.50
2009–2011	0	0	0.68	0.30–1.54
After 2011	1		1
Urban
No	1		1
Yes	1.23	0.88–1.72	1.54	1.26–1.88
Unknown	0.91	0.32–2.55	0.70	0.39–1.25
Sex and sexual orientation
Male, not MSM	1		1
Male, yes MSM	6.22	3.48–11.09	2.41	1.80–3.23
Female	0.84	0.70–1.01	0.78	0.70–0.87
HIV tests per year	1.70	1.62–1.78	1.58	1.55–1.61
IDUb
No	1		1
Yes	1.96	1.51–2.54	1.41	1.27–1.58
OSTb	0.67	0.53–0.84	0.56	0.48–0.66
Problematic alcohol useb
No	1		1
Yes	1.05	0.87–1.26	0.96	0.85–1.09
Mental health counselingb
No	1		1
Yes	0.39	0.31–0.49	0.56	0.47–0.67
Active TBb
No	1		1
Yes	1.38	0.51–3.69	0.57	0.21–1.52
Hepatitis Bb
No	1		1
Yes	1.32	1.03–1.71	1.33	1.11–1.59
Material deprivation quintile at time of test
Q1 (most privileged)	1		1
Q2	0.85	0.62–1.16	0.62	0.50–0.76
Q3	0.62	0.45–0.87	0.77	0.64–0.94
Q4	0.74	0.54–1.00	0.90	0.76–1.08
Q5 (most deprived)	0.84	0.64–1.11	1.19	1.02–1.4
Unknown	1.24	0.67–2.29	1.68	1.17–2.41

Note:

Estimates not generated due to lower sample size;

history of disease/risk factor in interval between HCV diagnosis and HIV diagnosis.

Abbreviations: BC, British Columbia; HCV, hepatitis C virus; HR, hazard ratio; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.

Table S5

Multivariable Cox regression analysis of factors associated with time to HIV infection in the BC Hepatitis Testers Cohort

Variables	HCV infection		HCV+ seroconverters		HCV+-prevalent
	Adjusted HR	95% CI	Adjusted HR	95% CI	Adjusted HR	95% CI
Age at HCV diagnosis
<25 years	2.42	1.99–2.95	1.35	0.83–2.20	2.04	1.62–2.57
25–34 years	1.80	1.51–2.13	0.84	0.52–1.36	1.91	1.58–2.29
35–44 years	1.45	1.22–1.71	1.23	0.76–2.01	1.25	1.04–1.51
≥45 years	1		1		1
Year of HCV diagnosis
Before 2000	1.24	0.39–3.90	3.23	0.44–23.6	0.89	0.22–3.62
2000–2004	0.86	0.27–2.70	2.57	0.35–18.7	0.67	0.16–2.73
2005–2008	0.83	0.26–2.66	1.64	0.22–12.1	0.56	0.13–2.33
2009–2011	1.03	0.31–3.41	1.97	0.25–14.9	0.69	0.15–3.06
After 2011	1		1		1
Urban
No	1		1		1
Yes	1.31	1.08–1.59	1.08	0.71–1.64	1.39	1.11–1.74
Unknown	0.29	0.11–0.73	0	0	0.38	0.15–0.97
Sex and sexual orientation
Male, not MSM	1		1		1
Male, yes MSM	1.89	1.27–2.83	4.97	2.56–9.66	1.43	0.85–2.39
Female	0.86	0.78–0.96	0.97	0.77–1.23	0.87	0.76–0.97
HIV tests per year	1.64	1.61–1.67	1.48	1.43–1.53	2.27	2.20–2.33
IDUa
No	1		1		1
Yes	1.67	1.48–1.88	1.24	0.94–1.63	1.83	1.61–2.09
OSTa	0.71	0.62–0.82	0.72	0.53–0.97	0.69	0.58–0.81
Problematic alcohol usea
No	1		1		1
Yes	1.05	0.93–1.18	0.97	0.74–1.27	0.85	0.74–0.97
Mental health counselinga
No	1		1		1
Yes	0.55	0.49–0.62	0.60	0.46–0.77	0.50	0.44–0.57
Active TBa
No	1		1		1
Yes	0.40	0.13–1.26	1.68	0.23–12.15	0.31	0.07–1.24
Hepatitis Ba
No	1		1		1
Yes	1.45	1.23–1.71	1.91	1.27–2.87	1.39	1.16–1.66
Material deprivation quintile at time of test
Q1 (most privileged)	1		1		1
Q2	0.73	0.59–0.89	0.59	0.38–0.926	1.11	0.88–1.40
Q3	0.78	0.64–0.95	0.69	0.46–1.055	0.93	0.74–1.17
Q4	0.94	0.78–1.13	0.68	0.46–1.00	1.13	0.91–1.39
Q5 (most deprived)	1.09	0.92–1.29	0.71	0.49–1.01	1.30	1.07–1.57
Unknown	1.45	0.98–2.16	0.59	0.21–1.66	1.93	1.26–2.97

Notes: Sensitivity analysis using only those individuals who had had last negative HIV test prior to an HIV-positive test.

History of disease/risk factor in interval between HCV diagnosis and HIV diagnosis.

Abbreviations: BC, British Columbia; HCV, hepatitis C virus; HR, hazard ratio; IDU, injection-drug use; MSM, men who have sex with men; OST, opioid-substitution therapy; TB, tuberculosis.