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Quantifying potentially infectious sharing patterns among people who inject drugs in Baltimore, USA.

ABSTRACT: Mixing matrices quantify how people with similar or different characteristics make contact with each other, creating potential for disease transmission. Little empirical data on mixing patterns among persons who inject drugs (PWID) are available to inform models of blood-borne disease such as HIV and hepatitis C virus. Egocentric drug network data provided by PWID in Baltimore, Maryland between 2005 and 2007 were used to characterise drug equipment-sharing patterns according to age, race and gender. Black PWID and PWID who were single (i.e. no stable sexual partner) self-reported larger equipment-sharing networks than their white and non-single counterparts. We also found evidence of assortative mixing according to age, gender and race, though to a slightly lesser degree in the case of gender. Highly assortative mixing according to race and gender highlights the existence of demographically isolated clusters, for whom generalised treatment interventions may have limited benefits unless targeted directly. These findings provide novel insights into mixing patterns of PWID for which little empirical data are available. The age-specific assortativity we observed is also significant in light of its role as a key driver of transmission for other pathogens such as influenza and tuberculosis.

SUBMITTER: Smith MK

PROVIDER: S-EPMC6135657 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Quantifying potentially infectious sharing patterns among people who inject drugs in Baltimore, USA.

Smith M K MK Graham M M Latkin C A CA Mehta S H SH Cummings D A T DAT

Epidemiology and infection 20180802 14

Mixing matrices quantify how people with similar or different characteristics make contact with each other, creating potential for disease transmission. Little empirical data on mixing patterns among persons who inject drugs (PWID) are available to inform models of blood-borne disease such as HIV and hepatitis C virus. Egocentric drug network data provided by PWID in Baltimore, Maryland between 2005 and 2007 were used to characterise drug equipment-sharing patterns according to age, race and gen ...[more]

PMID: 30070187

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Project description:IntroductionOverdose is a leading cause of death in the United States, especially among people who inject drugs (PWID). Improving naloxone access and carrying among PWID may offset recent increases in overdose mortality associated with the influx of synthetic opioids in the drug market. This study characterized prevalence and correlates of several naloxone outcomes among PWID.MethodsDuring 2018, a survey to assess experience with naloxone was administered to 915 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study, an ongoing community-based observational cohort of people who currently inject or formerly injected drugs in Baltimore, Maryland. We examined the associations of naloxone outcomes (training, supply, use, and regular possession) with socio-demographic, substance use and healthcare utilization factors among PWID in order to characterize gaps in naloxone implementation among this high-risk population.ResultsMedian age was 56 years, 34% were female, 85% were African American, and 31% recently injected. In the past six months, 46% (n = 421) reported receiving training in overdose prevention, 38% (n = 346) had received a supply of naloxone, 9% (n = 85) had administered naloxone, and 9% (n = 82) reported usually carrying a supply of naloxone. Recent non-fatal overdose was not associated with any naloxone outcomes in adjusted analysis. Active opioid use (aOR = 2.10, 95% CI: 1.03, 4.28) and recent treatment of alcohol or substance use disorder (aOR = 2.01, 95% CI: 1.13, 3.56) were associated with regularly carrying naloxone.ConclusionFurther work is needed to encourage PWID to carry and effectively use naloxone to decrease rates of fatal opioid overdose. While accessing treatment for substance use disorder was positively associated with carrying naloxone, EMS response to 911 calls for overdose, the emergency department, and syringe services programs may be settings in which naloxone access and carrying could be encouraged among PWID.

Project description:BACKGROUND:Chronic infections with hepatitis C virus (HCV) and HIV are highly prevalent in the USA and concentrated in people who inject drugs. Treatment as prevention with highly effective new direct-acting antivirals is a prospective HCV elimination strategy. We used network-based modelling to analyse the effect of this strategy in HCV-infected people who inject drugs in a US city. METHODS:Five graph models were fit using data from 1574 people who inject drugs in Hartford, CT, USA. We used a degree-corrected stochastic block model, based on goodness-of-fit, to model networks of injection drug users. We simulated transmission of HCV and HIV through this network with varying levels of HCV treatment coverage (0%, 3%, 6%, 12%, or 24%) and varying baseline HCV prevalence in people who inject drugs (30%, 60%, 75%, or 85%). We compared the effectiveness of seven treatment-as-prevention strategies on reducing HCV prevalence over 10 years and 20 years versus no treatment. The strategies consisted of treatment assigned to either a randomly chosen individual who injects drugs or to an individual with the highest number of injection partners. Additional strategies explored the effects of treating either none, half, or all of the injection partners of the selected individual, as well as a strategy based on respondent-driven recruitment into treatment. FINDINGS:Our model estimates show that at the highest baseline HCV prevalence in people who inject drugs (85%), expansion of treatment coverage does not substantially reduce HCV prevalence for any treatment-as-prevention strategy. However, when baseline HCV prevalence is 60% or lower, treating more than 120 (12%) individuals per 1000 people who inject drugs per year would probably eliminate HCV within 10 years. On average, assigning treatment randomly to individuals who inject drugs is better than targeting individuals with the most injection partners. Treatment-as-prevention strategies that treat additional network members are among the best performing strategies and can enhance less effective strategies that target the degree (ie, the highest number of injection partners) within the network. INTERPRETATION:Successful HCV treatment as prevention should incorporate the baseline HCV prevalence and will achieve the greatest benefit when coverage is sufficiently expanded. FUNDING:National Institute on Drug Abuse.

Dataset Information

Quantifying potentially infectious sharing patterns among people who inject drugs in Baltimore, USA.

Publications

Quantifying potentially infectious sharing patterns among people who inject drugs in Baltimore, USA.

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