Alexei Zelenev

Gender Disparities in HIV Treatment Outcomes Following Release From Jail: Results From a Multicenter Study

OBJECTIVES We assessed gender differences in longitudinal HIV treatment outcomes among HIV-infected jail detainees transitioning to the community. METHODS Data were from the largest multisite prospective cohort study of HIV-infected released jail detainees (n = 1270)-the Enhancing Linkages to HIV Primary Care and Services in Jail Setting Initiative, January 2008 and March 2011, which had 10 sites in 9 states. We assessed baseline and 6-month HIV treatment outcomes, stratifying by gender. RESULTS Of 867 evaluable participants, 277 (31.9%) were women. Compared with men, women were more likely to be younger, non-Hispanic White, married, homeless, and depressed, but were similar in recent alcohol and heroin use. By 6 months postrelease, women were significantly less likely than men to experience optimal HIV treatment outcomes, including (1) retention in care (50% vs 63%), (2) antiretroviral therapy prescription (39% vs 58%) or optimal antiretroviral therapy adherence (28% vs 44%), and (3) viral suppression (18% vs 30%). In multiple logistic regression models, women were half as likely as men to achieve viral suppression. CONCLUSIONS HIV-infected women transitioning from jail experience greater comorbidity and worse HIV treatment outcomes than men. Future interventions that transition people from jail to community-based HIV clinical care should be gender-specific.

Patterns of Homelessness and Implications for HIV Health After Release from Jail

This empirical study examines the association between substance abuse, mental illness, health behaviors and different patterns of homelessness among recently released, HIV-infected jail detainees. Using longitudinal data from a 10-site study, we examine correlates of homelessness, transitions to and from stable housing and the effect of housing on HIV treatment outcomes. Based on our analysis, we found evidence that the transitions from homelessness are closely associated with a reduction in the use of alcohol and illicit drugs, a decline in drug addiction severity, and an improvement in mental health. In addition, we found evidence that disparities in the housing status contributed substantially to the observed gap in the HIV treatment outcomes between homeless and non-homeless patients, including in achievement of virological suppression over time.

Integrating buprenorphine maintenance therapy into federally qualified health centers: Real-world substance abuse treatment outcomes

BACKGROUND Few studies have examined real-world effectiveness of integrated buprenorphine maintenance treatment (BMT) programs in federally qualified health centers (FQHCs). METHODS Opioid dependent patients (N=266) inducted on buprenorphine between July 2007 and December 2008 were retrospectively assessed at Connecticuts largest FQHC network. Six-month BMT retention and opioid-free time were collected longitudinally from electronic health records; 136 (51.1%) of patients were followed for at least 12 months. RESULTS Participants had a mean age of 40.1 years, were primarily male (69.2%) and treated by family practitioners (70.3%). Co-morbidity included HCV infection (59.8%), mood disorders (71.8%) and concomitant cocaine use (59%). Retention on BMT was 56.8% at 6 months and 61.6% at 12 months for the subset observed over 1 year. Not being retained on BMT at 12 months was associated with cocaine use (AOR=2.18; 95% CI=1.35-3.50) while prescription of psychiatric medication (AOR=0.36; 95% CI 0.20-0.62) and receiving on-site substance abuse counseling (AOR=0.34; 95% CI 0.19, 0.59) improved retention. Two thirds of the participants experienced at least one BMT gap of 2 or more weeks with a mean gap length of 116.4 days. CONCLUSIONS Integrating BMT in this large FQHC network resulted in retention rates similarly reported in clinical trials and emphasizes the need for providing substance abuse counseling and screening for and treating psychiatric comorbidity.

Retention on buprenorphine treatment reduces emergency department utilization, but not hospitalization, among treatment-seeking patients with opioid dependence

Drug users are marginalized from typical primary care, often resulting in emergency department (ED) usage and hospitalization due to late-stage disease. Though data suggest methadone decreases such fragmented healthcare utilization (HCU), the impact of buprenorphine maintenance treatment (BMT) on HCU is unknown. Chart review was conducted on opioid dependent patients seeking BMT, comparing individuals (n=59) who left BMT≤7days with those retained on BMT (n=150), for ED use and hospitalization. Using negative binomial regressions, including comparison of time before BMT induction, ED utilization and hospitalization were assessed. Overall, ED utilization was 0.93 events per person year and was significantly reduced by BMT, with increasing time (retention) on BMT. BMT had no significant effect on hospitalizations or average length of stay.

High prevalence of non-fatal overdose among people who inject drugs in Malaysia: Correlates of overdose and implications for overdose prevention from a cross-sectional study

BACKGROUND Overdose is the leading cause of death among opioid users, but no data are available on overdose among people who inject drugs in Malaysia. We present the first estimates of the prevalence and correlates of recent non-fatal overdose among people who inject drugs in Malaysia. METHODS In 2010, 460 people who inject drugs were recruited using respondent-driven sampling (RDS) in Klang Valley to assess health outcomes associated with injection drug use. Self-reported history of non-fatal overdose in the previous 6 months was the primary outcome. Sociodemographic, behavioral and structural correlates of non-fatal overdose were assessed using multivariable logistic regression. RESULTS All 460 participants used opioids and nearly all (99.1%) met criteria for opioid dependence. Most injected daily (91.3%) and were male (96.3%) and ethnically Malay (90.4%). Overall, 20% of participants had overdosed in the prior 6 months, and 43.3% had ever overdosed. The RDS-adjusted estimate of the 6-month period prevalence of overdose was 12.3% (95% confidence interval [CI] 7.9-16.6%). Having injected for more years was associated with lower odds of overdose (adjusted odds ratio [AOR] 0.6 per 5 years of injection, CI: 0.5-0.7). Rushing an injection from fear of the police nearly doubled the odds of overdose (AOR 1.9, CI: 1.9-3.6). Alcohol use was associated with recent non-fatal overdose (AOR 2.1, CI: 1.1-4.2), as was methamphetamine use (AOR 2.3, CI: 1.3-4.6). When adjusting for past-month drug use, intermittent but not daily methadone use was associated with overdose (AOR 2.8, CI: 1.5-5.9). CONCLUSION This study reveals a large, previously undocumented burden of non-fatal overdose among people who inject drugs in Malaysia and highlights the need for interventions that might reduce the risk of overdose, such as continuous opioid substitution therapy, provision of naloxone to prevent fatal overdose, treatment of polysubstance use, and working with police to improve the risk environment.

Hepatitis C virus treatment as prevention in an extended network of people who inject drugs in the USA: a modelling study

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.

Latent tuberculosis infection screening in foreign-born populations: a successful mobile clinic outreach model.

OBJECTIVES We evaluated the efficacy of a mobile medical clinic (MMC) screening program for detecting latent tuberculosis infection (LTBI) and active tuberculosis. METHODS A LTBI screening program in a MMC in New Haven, Connecticut, used medical surveys to examine risk factors and tuberculin skin test (TST) screening eligibility. We assessed clinically relevant correlates of total (prevalent; n = 4650) and newly diagnosed (incident; n = 4159) LTBI from 2003 to 2011. RESULTS Among 8322 individuals, 4159 (55.6%) met TST screening eligibility criteria, of which 1325 (31.9%) had TST assessed. Similar to LTBI prevalence (16.8%; 779 of 4650), newly diagnosed LTBI (25.6%; 339 of 1325) was independently correlated with being foreign-born (adjusted odds ratio [AOR] = 8.49; 95% confidence interval [CI] = 5.54, 13.02), Hispanic (AOR = 3.12; 95% CI = 1.88, 5.20), Black (AOR = 2.16; 95% CI = 1.31, 3.55), employed (AOR = 1.61; 95% CI = 1.14, 2.28), and of increased age (AOR = 1.04; 95% CI = 1.02, 1.05). Unstable housing (AOR = 4.95; 95% CI = 3.43, 7.14) and marijuana use (AOR = 1.57; 95% CI = 1.05, 2.37) were significantly correlated with incident LTBI, and being male, heroin use, interpersonal violence, employment, not having health insurance, and not completing high school were significantly correlated with prevalent LTBI. CONCLUSIONS Screening for TST in MMCs successfully identifies high-risk foreign-born, Hispanic, working, and uninsured populations and innovatively identifies LTBI in urban settings.

Factors associated with physical and sexual violence by police among people who inject drugs in Ukraine: implications for retention on opioid agonist therapy

Ukraines volatile HIV epidemic, one of the largest in Eastern Europe and Central Asia, remains concentrated in people who inject drugs (PWID). HIV prevalence is high (21.3% to 41.8%) among the estimated 310,000 PWID. Opioid agonist therapy (OAT) is the most cost‐effective HIV prevention strategy there, yet OAT services are hampered by negative attitudes and frequent harassment of OAT clients and site personnel by law enforcement. This paper examines the various types of police violence that Ukrainian PWID experience and factors associated with the different types of violence, as well as the possible implications of police harassment on OAT retention.

Quantifying the effect of media limitations on outbreak data in a global online web-crawling epidemic intelligence system, 2008-2011.

Background This is the first study quantitatively evaluating the effect that media-related limitations have on data from an automated epidemic intelligence system. Methods We modeled time series of HealthMaps two main data feeds, Google News and Moreover, to test for evidence of two potential limitations: first, human resources constraints, and second, high-profile outbreaks “crowding out” coverage of other infectious diseases. Results Google News events declined by 58.3%, 65.9%, and 14.7% on Saturday, Sunday and Monday, respectively, relative to other weekdays. Events were reduced by 27.4% during Christmas/New Years weeks and 33.6% lower during American Thanksgiving week than during an average week for Google News. Moreover data yielded similar results with the addition of Memorial Day (US) being associated with a 36.2% reduction in events. Other holiday effects were not statistically significant. We found evidence for a crowd out phenomenon for influenza/H1N1, where a 50% increase in influenza events corresponded with a 4% decline in other disease events for Google News only. Other prominent diseases in this database – avian influenza (H5N1), cholera, or foodborne illness – were not associated with a crowd out phenomenon. Conclusions These results provide quantitative evidence for the limited impact of editorial biases on HealthMaps web-crawling epidemic intelligence.

Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption

Intensive sociometric network data were collected from a typical respondent driven sample (RDS) of 528 people who inject drugs residing in Hartford, Connecticut in 2012–2013. This rich dataset enabled us to analyze a large number of unobserved network nodes and ties for the purpose of assessing common assumptions underlying RDS estimators. Results show that several assumptions central to RDS estimators, such as random selection, enrollment probability proportional to degree, and recruitment occurring over recruiter’s network ties, were violated. These problems stem from an overly simplistic conceptualization of peer recruitment processes and dynamics. We found nearly half of participants were recruited via coupon redistribution on the street. Non-uniform patterns occurred in multiple recruitment stages related to both recruiter behavior (choosing and reaching alters, passing coupons, etc.) and recruit behavior (accepting/rejecting coupons, failing to enter study, passing coupons to others). Some factors associated with these patterns were also associated with HIV risk.ResumenSe colectaron datos de redes socio métricas intensivas a partir de un tópico (MDE) Muestreo Dirigido por los Entrevistados de unas 528 personas que se inyectaban drogas que residen en xxx en2012–2013. Este conjunto de datos nos permitió analizar un gran número de nodos y arcos de red no observados. Y los vínculos con el fin de evaluar los supuestos comunes subyacentes MDE estimadores. Los resultados muestran que se han violado varios supuestos centrales para los estimadores MDE, como la selección aleatoria, la probabilidad de matriculación y el reclutamiento que ocurren sobre los lazos de red del reclutador. Estos problemas surgen de una conceptualización excesivamente simplista los procesos y las dinámicas de reclutamiento en pares. Se encontró que casi la mitad de los participantes fueron reclutados a través de la distribución de cupones. Los patrones no uniformes ocurrieron en etapas múltiples del reclutamiento relacionadas con el comportamiento del reclutador (pasando los cupones, etc.) Y el comportamiento de reclutamiento (aceptar/rechazar el cupón, no entrar en el estudio, pasar cupones a otros). Factores asociados con estos patrones también se asociaron con el riesgo de VIH.