Search

Background The World Health Organization European Action Plan 2020 targets for the elimination of viral hepatitis are that > 75% of eligible individuals with chronic hepatitis B (HBV) or hepatitis C (HCV) are treated, of whom > 90% achieve viral suppression. Aim To report the results from a pilot sentinel surveillance to monitor chronic HBV and HCV treatment uptake and outcomes in 2019. Methods We undertook retrospective enhanced data collection on patients with a confirmed chronic HBV or HCV infection presenting at one of seven clinics in three countries (Croatia, Romania and Spain) for the first time between 1 January 2019 and 30 June 2019. Clinical records were reviewed from date of first attendance to 31 December 2019 and data on sociodemographics, clinical history, laboratory results, treatment and treatment outcomes were collected. Treatment eligibility, uptake and case outcome were assessed. Results Of 229 individuals with chronic HBV infection, treatment status was reported for 203 (89%). Of the 80 individuals reported as eligible for treatment, 51% (41/80) were treated of whom 89% (33/37) had achieved viral suppression. Of 240 individuals with chronic HCV infection, treatment status was reported for 231 (96%). Of 231 eligible individuals, 77% (179/231) were treated, the majority of whom had received direct acting antivirals (99%, 174/176) and had achieved sustained virological response (98%, 165/169). Conclusion Treatment targets for global elimination were missed for HBV but not for HCV. A wider European implementation of sentinel surveillance with a representative sample of sites could help monitor progress towards achieving hepatitis control targets.

Following the report of an excess in paediatric cases of severe acute hepatitis of unknown aetiology by the United Kingdom (UK) on 5 April 2022, 427 cases were reported from 20 countries in the World Health Organization European Region to the European Surveillance System TESSy from 1 January 2022 to 16 June 2022. Here, we analysed demographic, epidemiological, clinical and microbiological data available in TESSy. Of the reported cases, 77.3% were 5 years or younger and 53.5% had a positive test for adenovirus, 10.4% had a positive RT-PCR for SARS-CoV-2 and 10.3% were coinfected with both pathogens. Cases with adenovirus infections were significantly more likely to be admitted to intensive care or high-dependency units (OR = 2.11; 95% CI: 1.18–3.74) and transplanted (OR = 3.36; 95% CI: 1.19–9.55) than cases with a negative test result for adenovirus, but this was no longer observed when looking at this association separately between the UK and other countries. Aetiological studies are needed to ascertain if adenovirus plays a role in this possible emergence of hepatitis cases in children and, if confirmed, the mechanisms that could be involved.

Background Limited data exist in the United States on the prevalence of HIV among women who exchange sex. Setting We estimate HIV prevalence of women who exchange sex from a 2016 survey in Chicago, Detroit, Houston, and Seattle and compare it with the prevalence of HIV among women of low socioeconomic status (SES), who did not exchange sex, and women in the general population. Methods Women who exchange sex were recruited via respondent-driven sampling among some cities participating in National HIV Behavioral Surveillance, interviewed, and offered HIV testing. We estimate HIV prevalence and, using prevalence ratios, compare it with the prevalence among women of low SES who did not exchange sex in the 2013 National HIV Behavioral Surveillance cycle, and to women in the general population estimated using 2015 National HIV Surveillance data. Results One thousand four hundred forty women reported exchange sex in 2016. Aggregated HIV prevalence was 4.9% [95% confidence interval (CI): 2.7 to 7.1] among women who exchanged sex, 1.6% (95% CI: 0.3 to 2.8) among women of low SES who did not exchange sex, and 0.6% (95% CI: 0.5% to 0.6%) among women in the general population. HIV prevalence among women who exchanged sex was 3.1 times (95% CI: 1.6 to 5.9) as high as among women of low SES who did not exchange sex, and 8.8 times (95% CI: 7.0 to 11.1) as high as among women in the general population. Conclusion HIV prevalence was significantly higher among women who exchanged sex compared with women in the general population and women of low SES who did not exchange sex.

Background Underlying conditions are risk factors for severe COVID-19 outcomes but evidence is limited about how risks differ with age. Aim We sought to estimate age-specific associations between underlying conditions and hospitalisation, death and in-hospital death among COVID-19 cases. Methods We analysed case-based COVID-19 data submitted to The European Surveillance System between 2 June and 13 December 2020 by nine European countries. Eleven underlying conditions among cases with only one condition and the number of underlying conditions among multimorbid cases were used as exposures. Adjusted odds ratios (aOR) were estimated using 39 different age-adjusted and age-interaction multivariable logistic regression models, with marginal means from the latter used to estimate probabilities of severe outcome for each condition–age group combination. Results Cancer, cardiac disorder, diabetes, immunodeficiency, kidney, liver and lung disease, neurological disorders and obesity were associated with elevated risk (aOR: 1.5–5.6) of hospitalisation and death, after controlling for age, sex, reporting period and country. As age increased, age-specific aOR were lower and predicted probabilities higher. However, for some conditions, predicted probabilities were at least as high in younger individuals with the condition as in older cases without it. In multimorbid patients, the aOR for severe disease increased with number of conditions for all outcomes and in all age groups. Conclusion While supporting age-based vaccine roll-out, our findings could inform a more nuanced, age- and condition-specific approach to vaccine prioritisation. This is relevant as countries consider vaccination of younger people, boosters and dosing intervals in response to vaccine escape variants.

Background In Europe, HIV disproportionately affects men who have sex with men (MSM), people who inject drugs (PWID), prisoners, sex workers, and transgender people. Epidemiological data are primarily available from national HIV case surveillance systems that rarely capture information on sex work, gender identity or imprisonment. Surveillance of HIV prevalence in key populations often occurs as independent studies with no established mechanism for collating such information at the European level. Aim We assessed HIV prevalence in MSM, PWID, prisoners, sex workers, and transgender people in the 30 European Union/European Economic Area countries and the United Kingdom. Methods We conducted a systematic literature review of peer-reviewed studies published during 2009–19, by searching PubMed, Embase and the Cochrane Library. Data are presented in forest plots by country, as simple prevalence or pooled across multiple studies. Results Eighty-seven country- and population-specific studies were identified from 23 countries. The highest number of studies, and the largest variation in HIV prevalence, were identified for MSM, ranging from 2.4–29.0% (19 countries) and PWID, from 0.0–59.5% (13 countries). Prevalence ranged from 0.0–15.6% in prisoners (nine countries), 1.1–8.5% in sex workers (five countries) and was 10.9% in transgender people (one country). Individuals belonging to several key population groups had higher prevalence. Conclusion This review demonstrates that HIV prevalence is highly diverse across population groups and countries. People belonging to multiple key population groups are particularly vulnerable; however, more studies are needed, particularly for sex workers, transgender people and people with multiple risks.

Background: Underlying conditions have been found to be associated with severe COVID-19 outcomes, such as hospitalisation and death. This study aimed to estimate age-specific adjusted relative and absolute effects of individual underlying conditions on hospitalisation, death and in-hospital death among COVID-19 cases. Methods: We analysed case-based COVID-19 data submitted to The European Surveillance System (TESSy) between 2 June and 13 December 2020 by nine European countries. We individually assessed the association between 11 underlying conditions with hospitalisation, death and in-hospital death. Two additional categorical exposures were created: number of underlying conditions (1,2, ≥ 3) and the presence of any underlying condition (≥ 1). Adjusted ORs (aOR) for the association between each exposure condition and outcome were estimated using two multivariable logistic regression models: 1) an age-adjusted model and 2) an age-interaction model (exposure condition*age). All models were adjusted for sex, reporting period (June-September; October-December) and reporting country. From the age-interaction model we estimated the predicted probability of the three outcomes for each level of condition and age-group, marginalised over the levels of each covariable. Findings: After controlling for age, sex, reporting period and reporting country in the age-adjusted models, cases with cancer, cardiac disorder, diabetes, immune deficiency disorder, kidney disease, liver disease, lung disease, neurological disorders, obesity, any underlying condition or up to three or more conditions were between 1·5 and 5·6 times more likely to be hospitalised or die than cases with no underlying condition. Asthma was associated with increased overall risk of hospitalisation, not death. Age was an important modifier of these associations, with an age interaction present in the majority of models. For all outcomes, age-specific aOR in the age-interaction models tended to decrease with increasing age, whereas predicted probabilities of the outcome increased with age. For instance, individuals aged

Aims To examine the cost-effectiveness of hepatitis C virus (HCV) treatment of people who inject drugs (PWID), combined with medication-assisted treatment (MAT) and syringe-service programs (SSP), to tackle the increasing HCV epidemic in the United States. DesignHCV transmission and disease progression models with cost-effectiveness analysis using a health-care perspective. Setting Rural Perry County, KY (PC) and urban San Francisco, CA (SF), USA. Compared with PC, SF has a greater proportion of PWID with access to MAT or SSP. HCV treatment of PWID is negligible in both settings. Participants PWID data were collected between 1998 and 2015 from Social Networks Among Appalachian People, U Find Out, Urban Health Study and National HIV Behavioral Surveillance System studies. Interventions and comparator Three intervention scenarios modeled: baseline—existing SSP and MAT coverage with HCV screening and treatment with direct-acting antiviral for ex-injectors only as per standard of care; intervention 1—scale-up of SSP and MAT without changes to treatment; and intervention 2—scale-up as intervention 1 combined with HCV screening and treatment for current PWID. Measurements Incremental cost-effectiveness ratios (ICERs) and uncertainty using cost-effectiveness acceptability curves. Benefits were measured in quality-adjusted life-years (QALYs). Findings For both settings, intervention 2 is preferred to intervention 1 and the appropriate comparator for intervention 2 is the baseline scenario. Relative to baseline, for PC intervention 2 averts 1852 more HCV infections, increases QALYS by 3095, costs $21.6 million more and has an ICER of $6975/QALY. For SF, intervention 2 averts 36 473 more HCV infections, increases QALYs by 7893, costs $872 million more and has an ICER of $11 044/QALY. The cost-effectiveness of intervention 2 was robust to several sensitivity analysis. Conclusions Hepatitis C screening and treatment for people who inject drugs, combined with medication-assisted treatment and syringe-service programs, is a cost-effective strategy for reducing hepatitis C burden in the United States.

To aid decision-making during CDC's response to the 2014-2016 Ebola virus disease (Ebola) epidemic in West Africa, CDC activated a Modeling Task Force to generate estimates on various topics related to the response in West Africa and the risk for importation of cases into the United States. Analysis of eight Ebola response modeling projects conducted during August 2014-July 2015 provided insight into the types of questions addressed by modeling, the impact of the estimates generated, and the difficulties encountered during the modeling. This time frame was selected to cover the three phases of the West African epidemic curve. Questions posed to the Modeling Task Force changed as the epidemic progressed. Initially, the task force was asked to estimate the number of cases that might occur if no interventions were implemented compared with cases that might occur if interventions were implemented; however, at the peak of the epidemic, the focus shifted to estimating resource needs for Ebola treatment units. Then, as the epidemic decelerated, requests for modeling changed to generating estimates of the potential number of sexually transmitted Ebola cases. Modeling to provide information for decision-making during the CDC Ebola response involved limited data, a short turnaround time, and difficulty communicating the modeling process, including assumptions and interpretation of results. Despite these challenges, modeling yielded estimates and projections that public health officials used to make key decisions regarding response strategy and resources required. The impact of modeling during the Ebola response demonstrates the usefulness of modeling in future responses, particularly in the early stages and when data are scarce. Future modeling can be enhanced by planning ahead for data needs and data sharing, and by open communication among modelers, scientists, and others to ensure that modeling and its limitations are more clearly understood. The activities summarized in this report would not have been possible without collaboration with many U.S. and international partners (http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/partners.html).

This study assessed the prevalence of exchanging sex for money or drugs among men who have sex with men (MSM) in the 2011 US National HIV Behavioral Surveillance system. Prevalence of HIV, being HIV-positive but unaware (HIV-positive-unaware), risk behaviors and use of services were compared between MSM who did and did not receive money or drugs from one or more casual male partners in exchange for oral or anal sex in the past 12 months. Among 8411 MSM, 7.0 % exchanged sex. MSM who exchanged sex were more likely to be non-Hispanic black, live in poverty, have injected drugs, have multiple condomless anal sex partners, be HIV-positive and be HIV-positive-unaware. In multivariable analysis, exchange sex was associated with being HIV-positive-unaware (aPR 1.34, 95 % CI 1.05-1.69) after adjusting for race/ethnicity, age, education, poverty, and injecting drugs. MSM who exchange sex represent an important group to reach with HIV prevention, testing, and care services as they were more likely to report behavioral risk factors that put them at risk of HIV.

In the United States, hepatitis C virus (HCV) transmission is rising among people who inject drugs (PWID). Many regions have insufficient prevention intervention coverage. Using modeling, we investigated the impact of scaling up prevention and treatment interventions on HCV transmission among PWID in Perry County, Kentucky, and San Francisco, California, where HCV seroprevalence among PWID is >50%. A greater proportion of PWID access medication-assisted treatment (MAT) or syringe service programs (SSP) in urban San Francisco (established community) than in rural Perry County (young, expanding community). We modeled the proportion of HCV-infected PWID needing HCV treatment annually to reduce HCV incidence by 90% by 2030, with and without MAT scale-up (50% coverage, both settings) and SSP scale-up (Perry County only) from 2017. With current MAT and SSP coverage during 2017–2030, HCV incidence would increase in Perry County (from 21.3 to 22.6 per 100 person-years) and decrease in San Francisco (from 12.9 to 11.9 per 100 person-years). With concurrent MAT and SSP scale-up, 5% per year of HCV-infected PWID would need HCV treatment in Perry County to achieve incidence targets—13% per year without MAT and SSP scale-up. In San Francisco, a similar proportion would need HCV treatment (10% per year) irrespective of MAT scale-up. Reaching the same impact by 2025 would require increases in treatment rates of 45%–82%. Achievable provision of HCV treatment, alongside MAT and SSP scale-up (Perry County) and MAT scale-up (San Francisco), could reduce HCV incidence.

Many studies of persons who exchange sex for money or drugs have focused on their HIV acquisition risk, and are often limited to select populations and/or geographical locations. National estimates of exchange sex among people living with HIV (PLWH) who are in medical care, and its correlates, are lacking. To address these gaps, we analyzed data from the Medical Monitoring Project, a surveillance system that produces nationally representative estimates of behavioral and clinical characteristics of PLWH receiving medical care in the United States, to estimate the weighted prevalence of exchange sex overall, and by selected socio-demographic, behavioral and clinical characteristics. We found 3.6% of sexually active adults reported exchange sex in the past 12 months. We found a higher prevalence of exchange sex among transgender persons, those who experienced homelessness, and those with unmet needs for social and medical services. Persons who exchanged sex were more likely to report depression and substance use than those who did not exchange sex. We found a higher prevalence of sexual behaviors that increase the risk of HIV transmission and lower viral suppression among persons who exchanged sex. PLWH who exchanged sex had a higher prevalence of not being prescribed ART, and not being ART adherent than those who did not exchange sex. We identify several areas for intervention, including: provision of or referral to services for unmet needs (such as housing or shelter), enhanced delivery of mental health and substance abuse screening and treatment, risk-reduction counseling, and ART prescription and adherence support services.

Background and Aims Men who have sex with men (MSM) and inject drugs are at risk for HIV infection. Although research exists on non-injection methamphetamine (meth) use and sexual risk among MSM, less is known about meth injection and its association with HIV infection among MSM who inject drugs. Methods We analyzed data from men aged ≥18 years who reported injecting drugs and male-to-male sexual contact. Men were recruited using respondent-driven sampling, interviewed, and tested for HIV during the 2012 and 2015 cycles of National HIV Behavioral Surveillance among persons who inject drugs. We included data from 8 cities where ≥10 MSM reported meth as the primary drug injected. We assessed differences in demographic characteristics, past 12 months risk behaviors, and HIV infection between MSM who primarily injected meth and those who primarily injected another drug. Results Among 961 MSM, 33.7% reported meth as the drug they injected most often. Compared to MSM who primarily injected other drugs, MSM who primarily injected meth were more likely to have had ≥5 condomless anal sex partners, have been diagnosed with syphilis, and were less likely to report sharing syringes. In multivariable analysis, injecting meth was associated with being HIV-positive (adjusted prevalence ratio 1.48; 95% confidence interval 1.08–2.03). Including number of condomless anal sex partners in mediation analysis rendered this association no longer significant. Conclusions HIV prevalence among MSM who primarily injected meth was almost 50% higher than among MSM who primarily injected other drugs, and this association was mediated by sexual risk.

Background Women who inject drugs and who also exchange sex are at increased risk for HIV infection, but data on this population in the United States remain sparse. Methods This study assessed the prevalence of exchanging sex for money or drugs among women who inject drugs using data from the 2009 US National HIV Behavioral Surveillance (NHBS) system. Prevalence of being HIV-positive (testing positive in NHBS), HIV-positive-unaware (reporting being HIV-negative or unknown status but testing positive in NHBS), and risk behaviors and use of services were compared between women who did and did not exchange sex. The association between exchange sex and being HIV-positive-unaware of the infection was examined using multivariate Poisson models with robust standard errors. Results Among 2305 women who inject drugs, 39% reported receiving things like money or drugs from ≥1 male partners in exchange for oral, vaginal, or anal sex in the previous 12 months. Women who exchanged sex were more likely to be unemployed, homeless, lack health insurance, have multiple condomless vaginal or anal sex partners, and receptively share syringes. In multivariate analysis, exchange sex was associated with being HIV-positive-unaware (adjusted prevalence ratio 1.97, 95% confidence intervals: 1.31 to 2.97). Conclusions Prevalence of exchange sex was high in this population. Women who exchange sex were more likely to be socially disadvantaged, report sexual and injection risk, and be HIV-positive-unaware. They represent an important group to reach with HIV prevention, testing, and care services.

Background Pre-exposure prophylaxis (PrEP) is an effective prevention tool for people at substantial risk of acquiring human immunodeficiency virus (HIV). To monitor the current state of PrEP use among men who have sex with men (MSM), we report on willingness to use PrEP and PrEP utilization. To assess whether the MSM subpopulations at highest risk for infection have indications for PrEP according to the 2014 clinical guidelines, we estimated indications for PrEP for MSM by demographics. Methods We analyzed data from the 2014 cycle of the National HIV Behavioral Surveillance (NHBS) system among MSM who tested HIV negative in NHBS and were currently sexually active. Adjusted prevalence ratios and 95% confidence intervals were estimated from log-linked Poisson regression with generalized estimating equations to explore differences in willingness to take PrEP, PrEP use, and indications for PrEP. Results Whereas over half of MSM said they were willing to take PrEP, only about 4% reported using PrEP. There was no difference in willingness to take PrEP between black and white MSM. PrEP use was higher among white compared with black MSM and among those with greater education and income levels. Young, black MSM were less likely to have indications for PrEP compared with young MSM of other races/ethnicities. Conclusions Young, black MSM, despite being at high risk of HIV acquisition, may not have indications for PrEP under the current guidelines. Clinicians may need to consider other factors besides risk behaviors such as HIV incidence and prevalence in subgroups of their communities when considering prescribing PrEP.

BACKGROUND: Little is known about the extent to which HIV-infected street youth (living part or full time on the streets) exhibit behaviors associated with HIV transmission in their interactions with youth not living on the streets ("non-street youth"). We aimed to determine prevalences and predictors of such "bridging behaviors": inconsistent condom use and needle sharing between HIV-positive street youth and non-street youth. METHODS: A total of 171 street youth in 3 Ukrainian cites were identified as HIV infected after testing of eligible participants aged 15 to 24 years after random selection of venues. Using data from these youth we calculated prevalence estimates of bridging behaviors and assessed predictors using logistic regression. RESULTS: Overall two-thirds of HIV-infected street youth exhibited bridging behaviors; subgroups with high prevalences of bridging included females (78.3%) and those involved in transactional sex (84.2%). In multivariable analysis inconsistent condom use with non-street youth was associated with being female (adjusted prevalence ratio [aPR] 1.2; 95% confidence interval [CI] 1.1-1.4) working (aPR 1.2; 95% CI 1.03-1.4) multiple partners (aPR 1.4; 95% CI 1.2-1.6) and "never" (aPR 1.4; 95% CI 1.1-1.6) or "sometimes" (aPR 1.3; 95% CI 1.02-1.8) versus "always" sleeping on the street. Needle sharing with non-street youth was associated with being male (aPR 1.4; 95% CI 1.02-2.0) orphaned (aPR 2.3; 95% CI 1.8-3.0) and 2 years or less living on the streets (aPR 1.8; 95% CI 1.5-2.1). CONCLUSIONS: Bridging behaviors between HIV-infected street youth and non-street youth are common. Addressing the comprehensive needs of street and other at-risk youth is a critical prevention strategy.