High prevalence and incidence of HIV and HCV among new injecting drug users with a large proportion of migrants Is prevention failing?

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High prevalence and incidence of HIV and HCV among new injecting drug users with a large proportion of migrants Is prevention failing? Cinta Folch on behalf of REDAN Study Group Viral Hepatitis Prevention Board meeting Ljubljana March 10-11, 2016

Background People who inject drugs (PWID) are at high risk of acquiring HIV and hepatitis C virus. Most HCV infections occur within the first 6 years of injection. Young drug injectors and others newly initiated into injecting are at considerable risk of contracting the virus HCV prevalence can exceed 50% after 1 year of injecting

American Journal of Epidemiology The Author 2008. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org. Hepatitis C virus (HCV) prevalence in relation to time at risk (number of years since onset of drug injection), with fitted regression lines (72 studies and 293 categories of time at risk), HCV Synthesis Project, 1989 2006. 53% 32% Holly Hagan et al. Am. J. Epidemiol. 2008;168:1099-1109

Background Lack of early warning signs means hepatitis C infections are often not identified until it is too late Many current and former drug injectors are therefore unaware that they are infected with HCV. Better screening and monitoring systems are needed to ensure people infected with HCV are identified early and can receive treatment, where it is appropriate

median of 49% (IQR 38 64%) Figure 6. Proportion (%) of HCV positive PWID (antibody or RNA) undiagnosed.

Background The increasing availability of harm reduction programs in Catalonia has contributed to reductions in the prevalence of HIV: 51% (1993) to 33,2% (2010) However, the prevalence of HCV remains high and exceeds 75%-80%

Percent shaing syringes (%) 80 Changes in the prevalence of syringe sharing and number of sterile syringes distributed in Catalonia. IDU 1993-2012 70 1600000 60 50 40 30 20 10 1400000 1200000 1000000 800000 600000 400000 Syringes distributed 0 1993 1996 1998 2000 2002 2004 2006 2008 2010 2012 Accepted used syringes 200000 0 Syringes distributed in 1000's Log trend line (syringes distributed) Passed on used syringes Log trend line (Accepted used syringes) Log trend line (Passed on syringes)

Objectives To assess potential differences in the prevalence of HIV and HCV infection as well as their associated risk factors between new and long-term injectors in Catalonia. To estimate incidence of HIV and HCV infection among the group of new injectors.

Methodology Integrated Bio-Behavioral Surveys among Key Populations (Catalonia, 1993-2015) Youth, online PWID, street recruitment PWID, Harm reduction centers 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 MSM, gay venues MSM, SIALON I MSM, EMIS MSM, SIALON II Female Sex Workers

Cross-sectional survey Period: October 2010 to May 2011 Recruitment in Harm Reduction Centres Inclusion criteria: Methodology Injection in the last 6 months Older than 18 Informed consent

Methodology Anonymous questionnaires Oral fluid samples (HIV/HCV prevalence) anonymous numerical code New injectors were defined as those who had been injecting for 5 years or less.

Poisson regression models were applied to assess factors associated with HIV/HCV infection. Incidence estimations: Statistical analysis Assumptions: (1) participants were HIV/HCV negative when they began injecting; (2) they became infected at the midpoint between beginning to inject and the time of oral fluid sample collection. The estimated HIV/HCV incidence rate was the number of HIV and HCV seropositive new injectors divided by the sum of the time at risk for the HIV and HCV seropositive and the time at risk for the HIV seronegative* new injectors. *The time at risk for HIV/HCV seronegative new injectors was the total time from first injection to the time of the interview.

Results: Sample distribution by years of injection (n=761) Proportion 78,6 80 70 60 50 40 30 20 10 0 21,4 New injectors Long-term injectors N=161 N=593 Mean years of injection : 14.8 (DE:9.4)

Results: Sociodemographic characteristics New n=161 (%) Long-term n=593 (%) Median age (SD) 31.6 (7.5) 37.8 (7.1) <0.0001 Immigrants 59.0 33.4 <0.0001 Female 21.1 16.2 NS Education level: primary or less 16.8 25.2 0.026 Homeless 1 22.4 16.9 NS Living alone 1 31.1 29.8 NS Receiving a pension* 15.5 34.9 <0.0001 Main source of income: illegal 55.7 45.9 0.029 Ever in prison 49.7 71.5 <0.0001 Currently in treatment 40.4 57.8 <0.0001 p *retirement pension/incapacity benefit/social fund; (1) Last 6 months

Results: Injecting risk behaviors Sharing other injecting equipment (last 6m) p<0.05 Front/backloading (last 6m) Passing on used syringes (last 6m) Long-term injectors New injectors Accepted used syringes (last 6m) Ever sharing syringes p<0.05 0 20 40 60 Percentage

Results: HIV and HCV prevalence by duration of injection On the overall: HIV prevalence: 33.2% (95%CI, 29.8 36.5) HCV prevalence: 72.0% (95%CI, 68.8 75.2)

Results: Estimated HIV and HCV Incidence Estimate of HIV incidence among new injectors 8.71/100 person years (PY) at risk Estimate of HCV Incidence among new injectors 25.06/100 person years (PY) at risk

Results: Unknown HIV/HCV infections by origin

Results: Risk factors for HIV/HCV infections NEW INJECTORS PR 95% CI p HIV infection Homeless 1 3.10 1.80-5.33 <0.001 Unprotected sex (steady partner) 1 0.42 0.21-0.82 0.012 Sexually transmitted infections (ever) 1.79 1.10-2.90 0.018 HCV infection Front-backloading 1 1.33 1.01-1.76 0.043 Daily injection 1 1.35 1.20-1.79 0.036 LONG-TERM INJECTORS HIV infection Injection of cocaine 1 1.38 1.09-1.76 0.009 Having shared syringes (ever) 1.85 1.43-2.40 <0.001 Frontbackloading 1 1.30 1.06-1.60 0.012 In prison (ever) 2.03 1.45-2.85 <0.001 Unprotected sex (steady partner) 1 0.63 0.49-0.82 <0.001 Unprotected sex (casual partner) 1 0.62 0.40-0.94 0.025 HCV infection Homeless 1 0.84 0.72-0.97 <0.001 (1) Last 6 months; *After adjusting for age, country of origin, gender and years of injection PR, prevalence ratio; CI: Confidence Interval

Limitations Findings may not be generalizable to PWID in other settings. Information bias: underestimation of self-reported behaviours Estimated HIV/HCV incidence: the actual date of infection was unknown. The study collected HCV antibodies, so current infection cannot be determined Cross-sectional study: limits to infer causality.

Conclusions A large proportion of PWID in Catalonia are new injectors. A subgroup with a high level of both sexual and parenteral exposure to HIV/HCV infections. The estimated HCV incidence among this group confirms that most new infections occurred very soon after initiation of injection.

Conclusions Immigrants represent a high proportion of the new IDU population in Catalonia. Approximately half of the sample of new injectors who were HIV- and/or HCV-positive did not know they were infected. Undiagnosed infections were extremely high among the group of migrant new injectors.

Recommendations Early intervention initiatives to reduce the number of at risk individuals and to provide education early in injecting careers would be needed Such interventions should be specifically focused on migrant, adapting prevention messages to their social and cultural background Identifying and addressing risk factors for homelessness among new injectors should be a priority Improving access to HIV/HCV testing among new injectors, including outreach services to reach those who may be not in touch with traditional healthcare services.

Acknowledgements The authors thank all interviewers, participants and the centres who have collaborated in this study Membres of the REDAN Group: Jordi Casabona, Anna Esteve, Alexandra Montoliu, Rafa Muñoz (CEEISCAT); Victoria Gonzalez, Vicenç Ausina (Servei Microbiologia HUGTiP); M. Teresa Brugal, Albert Espelt, Carmen Vecino (Agència de Salut Pública de Barcelona); Xavier Majó, Joan Colom (Subdirecció General de Drogodependències); Mercè Meroño, Anna Altabas (Àmbit Prevenció). Lucas Wiessing (EMCDDA)

THANK YOU! email: cfolch@iconcologia.net www.ceeiscat.cat http://www.tandfonline.com/eprint/6vxknaxw7vp23jftg8zr/full