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Pre-exposure prophylaxis (PrEP) is an effective method to prevent HIV acquisition in high-risk individuals. This cross-sectional survey study estimated the proportion of patients who were PrEP eligible among a targeted sample of emergency department (ED) patients with chief complaints indicative of HIV risk. Research assistants screened a convenience sample of adult patients who presented to two hospital EDs in Washington, DC, during a 6-month period with genitourinary, substance use, or intentional injury-related complaints. Patients with these complaints who reported being sexually active within the past 6 months and HIV negative completed a computer-assisted survey that included questions on sexual practices and partners, substance use, and attitudes and knowledge about PrEP. We used the Centers for Disease Control and Prevention (CDC) clinical guidelines to determine whether PrEP use was indicated. We report differences in PrEP eligibility by demographic characteristics, knowledge, and attitudes. Of the 410 participants, the majority were black (85%), and heterosexual females (72%). PrEP use was indicated in 20% (N = 84), most commonly because of condomless sex with a person of unknown HIV status (82%) and/or a sexually transmitted infection (STI) diagnosis (41%). One-third (34%) of participants had heard of PrEP. Overall, 36% of the sample (N = 148) wanted to learn more about PrEP while in the ED. The percentage who wanted to learn more about PrEP was higher among PrEP-eligible patients (52%) compared with PrEP-ineligible patients (32%). Using CDC criteria, targeted screening identified that a substantial proportion of ED patients are PrEP eligible based on their self-reported behaviors.

Purpose Oral emtricitabine (FTC)/tenofovir disoproxil fumarate (TDF) was approved for use as pre-exposure prophylaxis (PrEP) by the United States Food and Drug Administration (FDA) in 2012. We used national pharmacy data to examine trends of PrEP use in U.S. counties from 2012-2018. Methods Using multi-level small-area spatial temporal modelling, we calculated the estimated annual percent change (EAPC) in prevalence of PrEP use in the general population from 2012 to 2018. We also used a proxy measure for prevalence of PrEP use among men who have sex with men (MSM) to evaluate trends of use among MSM, the PrEP use-to-MSM ratio (PmR) or number of male PrEP users per 1,000 MSM population. Results The prevalence of PrEP use and PmR increased (EAPC range:(+26.9%, +71.0%) and (+28.4%, +158.7%), respectively) in all counties with varying magnitude of increase. Counties of the Midwest and the upper South and upper West had the slowest increase in prevalence of PrEP use (EAPC range: (+26.9%; +52.9%)). Counties of the northern part of the South had the lowest PmR (EAPC range: (+28.4%; +76.0%)). Counties of the most populous Core-based Statistical Areas (CBSAs) had a relatively faster increase in population prevalence of PrEP use but slower increase in PmR. Conclusion All counties in the U.S. have witnessed an increase in PrEP use with important geographic variabilities. Identifying areas with slow improvement in PrEP use, as well as ‘model counties’ with the fastest pace of progress in PrEP coverage, is critical to inform local and state-level policies and program evaluation for PrEP scale up, particularly among MSM at higher risk for HIV.

With more effective antiretroviral therapy (ART), people with HIV (PWH) are living longer and have more chronic diseases, including diabetes mellitus (DM). The prevalence of DM has been estimated in PWH previously, however there is less research regarding DM control. Our objectives were to determine the prevalence of DM and DM control and determine factors associated with DM control in a large urban cohort of PWH in care. We examined DC Cohort participants aged ≥18 years old to determine DM prevalence and to assess DM control (HbA1c measurement

BACKGROUND: In this era of effective combination antiretroviral therapy (cART) the incidence of AIDS defining cancers (ADCs) is projected to decline while the incidence of certain non-AIDS defining cancers (NADCs) increases. Some of these NADCs are potentially preventable with appropriate cancer screening. SETTING: We examined cancer incidence, screening eligibility, and receipt of screening among persons actively enrolled in the DC Cohort, a longitudinal observational cohort of PLWH, between 2011-2017. METHODS: Cancer screening eligibility was determined based on age, sex, smoking history and comorbidity data available and published national guidelines. RESULTS: The incidence rate of NADCs was 12.1 (95% CI 10.7, 13.8) and ADCs 1.6 (95% CI 0.6, 4.6) per 1000 person-years. The most common incident NADCs were breast 2.6 (95% CI 0.5,1 2.1), prostate 2.3 (95% CI 1.2, 4.3), and non-melanoma skin 1.2 (95% CI 0.6, 2.3) incident diagnoses/cases per 1000 person-years. Among cohort sites where receipt of cancer screening was assessed, less than 60% of eligible participants had any ascertained anal HPV, breast, cervical, colorectal, hepatocellular carcinoma, or lung cancer screening. CONCLUSIONS: In this cohort of PLWH, there were more incident NADCs versus ADCs in contrast to earlier cohort studies where ADCs predominated. Despite a large eligible population there were low rates of screening. Implementation of cancer screening is an important component of care among PLWH.

Background Using the results of a site assessment survey performed at clinics throughout Washington, DC, we studied the impact of clinic-level factors on antiretroviral therapy (ART) initiation and viral suppression (VS) among people living with human immunodeficiency virus (HIV; PLWH). Methods This was a retrospective analysis from the District of Columbia (DC) Cohort, an observational, clinical cohort of PLWH from 2011–2018. We included data from PLWH not on ART and not virally suppressed at enrollment. Outcomes were ART initiation and VS (HIV RNA < 200 copies/mL). A clinic survey captured information on care delivery (eg, clinical services, adherence services, patient monitoring services) and clinic characteristics (eg, types of providers, availability of evenings/weekends sessions). Multivariate marginal Cox regression models were generated to identify those factors associated with the time to ART initiation and VS. Results Multiple clinic-level factors were associated with ART initiation, including retention in care monitoring and medication dispensing reviews (adjusted hazard ratios [aHRs], 1.34 to 1.40; P values < .05 for both). Furthermore, multiple factors were associated with VS, including retention in HIV care monitoring, medication dispensing reviews, and the presence of a peer interventionist (aHRs, 1.35 to 1.72; P values < .05 for all). In multivariable models evaluating different combinations of clinic-level factors, enhanced adherence services (aHR, 1.37; 95% confidence interval [CI], 1.18–1.58), medication dispensing reviews (aHR, 1.22; 95% CI, 1.10–1.36), and the availability of opioid treatment (aHR, 1.26; 95% CI, 1.01–1.57) were all associated with the time to VS. Conclusions The observed association between clinic-level factors and ART initiation/VS suggests that the presence of specific clinic services may facilitate the achievement of HIV treatment goals.

Re-engaging people living with HIV (PLWH) who are out of care (OOC) is of utmost importance to ending the HIV epidemic in the U.S. We used DC Department of Health (DCDOH) HIV surveillance data to determine whether re-engaging PLWH results in improved long-term clinical outcomes. PLWH identified as OOC for 6-12 months at both the clinic-level and using DCDOH data were targeted for re-engagement efforts through Recapture Blitz (RB). Uni- and bivariate analyses were conducted comparing engagement in care (EIC), CD4 counts, and viral suppression (VS) at 6, 12, and 18-months post-re-engagement between persons re-engaged through RB and those not re-engaged via RB. Of the 569 PLWH contacted; 57 were re-engaged through RB, 46 were not but may have reengaged on their own. Compared to those not re-engaged via RB, at 18-months of follow-up, more PLWH re-engaged through RB were EIC (71.9% vs. 56.5%) and VS (52.6% vs. 30.4%). Higher proportions of PLWH re-engaged through RB were virally suppressed at 6, 12, and 18-months (

Introduction Prior studies found renal disease was common among HIV-infected outpatients. We updated incident renal disease estimates in this population, comparing those with and without tenofovir exposure. Methods We conducted a retrospective analysis of the DC Cohort, a longitudinal study of HIV patients in Washington, DC, from 2011 to 2015. We included adults prescribed antiretroviral therapy (ART) with baseline glomerular filtration rate (GFR) ≥15 ml/min per 1.73 m2. We defined renal disease as 50% decrease in GFR or doubled serum creatinine (Cr) within 3 months. We defined cumulative viral load as area under the curve (AUC) of log10 transformed longitudinal HIV RNA viral load (VL). Correlates of time to incident renal disease were identified using Cox proportional hazard regression models, adjusted for demographics and known risk factors for kidney disease. Results Among 6068 adults, 77% were Black and median age was 48 years. Incident renal disease rate was 0.77 per 100 person-years (95% confidence interval [CI]: 0.65–0.9). Factors associated with renal disease were age (adjusted hazard ratio [aHR]: 1.4; CI 1.1–1.7 per 10 years), public non-Medicaid, non-Medicare insurance (aHR: 3.4; CI: 1.9–6.4), AUC VL (aHR: 1.1; CI: 1.1–1.2), diabetes mellitus (aHR: 1.6; CI: 1.0–2.4), and mildly reduced GFR (60–89 ml/min per 1.73 m2) (aHR: 1.5; CI: 1.0–2.3); recent tenofovir exposure was not associated with renal disease (aHR: 0.7; CI: 0.5–1.1). Conclusion Our study revealed a substantial burden of renal disease among HIV patients. Cumulative VL was associated with renal disease, suggesting that early VL suppression may decrease its incidence., Graphical abstract

Integrase inhibitors (INSTIs) are recommended by expert panels as initial therapy for people with HIV. Because there can be disparities in prescribing and uptake of novel and/or recommended therapies, this analysis assessed potential INSTI prescribing disparities using a combined data set from the Johns Hopkins HIV Clinical Cohort and the DC Cohort. We performed multivariable logistic regression to identify factors associated with ever being prescribed an INSTI. Disparities were noted, including clinic location, age, and being transgender. Identifying disparities may allow clinicians to focus their attention on these individuals and ensure that therapy decisions are grounded in valid clinical reasons., We assessed INSTI prescribing disparities using Johns Hopkins HIV Clinical Cohort/DC Cohort data. Disparities were noted, including clinic location, age, and being transgender. Clinicians should focus their attention on these individuals and make therapy decisions grounded in valid clinical reasons.

We conducted a retrospective analysis of 38 children and youth with human immunodeficiency virus (aged 0–19 years) in the United States and report an increased rate of change of BMI-for-age z score after initiating integrase strand transfer inhibitors (+0.19 z score units/year [95% confidence interval, .01–.37]; P = .036) for a median follow-up of 527.5 days., Children and youth with HIV in the United States (n=38) have an increased rate of change of BMI-for-age z-score (+0.19 z-score units/year) after initiating integrase strand transfer inhibitors for a median follow-up of 527.5 days.

Molecular epidemiology (ME) is one tool used to end the HIV epidemic in the United States. We combined clinical and behavioral data with HIV sequence data to identify any overlap in clusters generated from different sequence datasets; to characterize HIV transmission clusters; and to identify correlates of clustering among people living with HIV (PLWH) in Washington, District of Columbia (DC). First, Sanger sequences from DC Cohort participants, a longitudinal HIV study, were combined with next-generation sequences (NGS) from participants in a ME substudy to identify clusters. Next, demographic and self-reported behavioral data from ME substudy participants were used to identify risks of secondary transmission. Finally, we combined NGS from ME substudy participants with Sanger sequences in the DC Molecular HIV Surveillance database to identify clusters. Cluster analyses used HIV-Transmission Cluster Engine to identify linked pairs of sequences (defined as distance ≤1.5%). Twenty-eight clusters of ≥3 sequences (size range: 3–12) representing 108 (3%) participants were identified. None of the five largest clusters (size range: 5–12) included newly diagnosed PLWH. Thirty-four percent of ME substudy participants (n = 213) reported condomless sex during their last sexual encounter and 14% reported a Syphilis diagnosis in the past year. Seven transmission clusters (size range: 2–19) were identified in the final analysis, each containing at least one ME substudy participant. Substudy participants in clusters from the third analysis were present in clusters from the first analysis. Combining HIV sequence, clinical and behavioral data provided insights into HIV transmission that may not be identified using traditional epidemiological methods alone. Specifically, the sexual risk behaviors and STI diagnoses reported in the substudy survey may not have been disclosed during Partner Services activities and the survey data complemented clinical data to fully characterize transmission clusters. These findings can be used to enhance local efforts to interrupt transmission and avert new infections.

Substance use disorders (SUDs) are common among people with HIV and can prevent achievement of optimal health outcomes. Using data from a longitudinal HIV cohort study in the District of Columbia (2011-2018), we calculated the prevalence and correlates of SUD (alcohol, stimulant, and/or opioid use disorders) and determined the association of SUD with engagement in HIV care, ART prescription, viral suppression, and mortality. Of 8420 adults, 3168 (37.6%) had a history of any SUD, most commonly history of alcohol use disorder (29.6%). SUDs disproportionately affected Black individuals (aOR 1.33) and heterosexuals (aOR 1.18), and women had a lower risk of SUD (aOR 0.65). SUD was not associated with engagement in care, ART prescription, or viral suppression. SUD was associated with mortality (aHR 1.31). Addressing alcohol use disorder and preventable causes of death among people with HIV and substance use disorders should be priorities for clinical care and public health.Los trastornos por uso de sustancias (TUS) son comunes entre las personas con VIH y pueden impedir el logro de resultados óptimos de salud. Utilizando datos de un estudio sobre VIH de cohorte longitudinal en el Distrito de Columbia (2011–2018), calculamos la prevalencia y los correlatos de TUS (trastornos por consumo de alcohol, estimulantes y/o opioides) y determinamos la asociación de los TUS con la vinculación a cuidado de VIH, prescripción de terapia antirretroviral, supresión viral y mortalidad. De 8420 adultos, 3168 (37.6%) tenían historial de algún TUS, más comúnmente historial de trastorno por consumo de alcohol (29.6%). Los TUS afectaron de manera desproporcionada a las personas negras (aOR 1.33) y a los heterosexuales (aOR 1.18) y las mujeres tenían un riesgo menor de TUS (aOR 0.65). TUS no tuvo asociación estadísticamente significativa con la vinculación a cuidado de VIH, la prescripción de terapia antirretroviral o la supresión viral. TUS se asoció con mortalidad (aHR 1.31). Abordar el trastorno por consumo de alcohol y las causas prevenibles de muerte entre personas con VIH y trastornos por consumo de sustancias debe ser una prioridad para el cuidado clínico y la salud pública.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of COVID-19, was first detected in China in December 2019 and has rapidly spread throughout the world. Globally, the impact of COVID-19 has been severe with more than half a million deaths over 6 months; in contrast, the HIV pandemic has resulted in over 32 million deaths worldwide over 40 years. This paper reviews the current epidemiology of COVID-19, summarizes its relationship to HIV, identifies synergies in our response, and suggests actions that can be taken to curtail the spread of COVID-19 among persons living with HIV (PLWH). Our understanding of the epidemiology, clinical presentation, prevention, and treatment of COVID-19 has evolved rapidly as they did with HIV. Epidemiologically, there are similarities between the two viruses including asymptomatic spread, disproportionate impact on persons of color, need for rapid diagnostic testing, and lack of a cure or vaccine. PLWH do not appear generally to have an increased incidence of COVID-19 infection or a more severe course of disease. Clinical trials to identify potential treatment and prevention options for COVID-19 have included antiretrovirals used to treat HIV that have not been efficacious. Public health responses overlap between the two pandemics including the need for behavior change and containment strategies such as contact tracing. As the SARS-CoV-2 pandemic evolves, the path forward to controlling, preventing, and treating COVID-19 can be informed by lessons learned from HIV as we seek to control the spread of both viral pandemics.

The process of recruiting racial and ethnic minority persons living with HIV (PLWH) is important for research studies to ensure inclusivity of underrepresented groups. To understand factors associated with recruitment of minority PLWH, this study examined the recruitment process of PLWH for an observational study of their routine medical care at 14 clinics in Washington, DC. Research assistant (RA) recruiters were interviewed to assess their consenting processes and strategies. Data were collected on clinic services, patient demographics, and recruitment logs of patient approaches for obtaining informed consent resulting in agreement or refusal. A median of 96% of eligible patients was approached to obtain consent, yielding a median consent rate of 78% across all sites. A total of 8438 patients consented and 1326 refused study participation. Clinical sites with more comprehensive services had higher consent rates. black/African American and Hispanic/Latinx PLWH consented or refused study participation in similar proportions, while significantly more white patients enrolled than refused. More men, compared with women, enrolled than refused study participation. The most frequent reasons for refusing study participation were the lack of interest in research (33.2%) and no specific reason provided (28%). RAs identified that effective recruitment strategies used culturally sensitive approaches, built rapport with patients, and obtained provider support for the study. Recruitment strategies that are gender sensitive to address the disparity of underrepresentation of women, address perceived barriers, and examine clinic-specific services are needed to maximize research participation for minority PLWH to improve prevention and health outcomes.

Background To identify reasons for increased atherosclerotic risk among women living with HIV ( WLWH ), we evaluated the associations between psychosocial risk factors (depressive symptoms, perceived stress, and posttraumatic stress disorder symptoms) and subclinical atherosclerosis among WLWH and HIV ‐negative women. Methods and Results Carotid artery focal plaque (localized intima‐media thickness >1.5 mm) was measured using B‐mode ultrasound imaging in 2004–2005 and 2010–2012 in the Women's Interagency HIV Study. We created psychosocial risk groups using latent class analysis and defined prevalent plaque at the final measurement. We also examined repeated semiannual depression measures with respect to focal plaque formation throughout follow‐up. The associations between latent class and prevalent plaque, and between depressive symptom persistence and plaque formation, were assessed separately by HIV status using multivariable logistic regression. Among 700 women (median age 47 years), 2 latent classes were identified: high (n=163) and low (n=537) psychosocial risk, with corresponding prevalence of depression (65%/13%), high stress (96%/12%), and probable posttraumatic stress disorder (46%/2%). Among WLWH , plaque prevalence was 23% and 11% in high versus low psychosocial risk classes (adjusted odds ratio [aOR], 2.12; 95% CI, 1.11–4.05) compared with 9% and 9% among HIV ‐negative women (aOR, 1.07; 95% CI, 0.24–4.84), respectively. New plaque formation occurred among 17% and 9% of WLWH who reported high depressive symptoms at ≥45% versus HIV ‐negative women (aOR, 0.82; 95% CI, 0.16–4.16), respectively. Conclusions Psychosocial factors were independent atherosclerotic risk factors among WLWH . Research is needed to determine whether interventions for depression and psychosocial stress can mitigate the increased risk of atherosclerosis for WLWH .

BACKGROUND: Optimal management of noncommunicable diseases, including diabetes mellitus (DM), is crucially important as people with HIV (PWH) live longer with antiretroviral therapy. Our objective was to assess patient-level and clinic-level factors associated with achieving hemoglobin A1c (HbA1c) ≤7.0% among PWH and DM. SETTING: The DC Cohort, an observational clinical cohort of PWH, followed from 2011 to 2019 at 12 sites in Washington, DC. METHODS: Among PWH with diagnosed DM and elevated HbA1c (>7.0%), we examined the association between achieving HbA1c ≤7.0% and demographic and clinical factors, including time-updated medication data, and clinic-level factors related to services and structure. A multilevel marginal extended Cox regression model was generated to identify factors associated with time to HbA1c ≤7.0%. RESULTS: Over half (52.3%) of 419 participants achieved HbA1c ≤7.0%. Individual-level factors associated with HbA1c ≤7.0% included a diagnosis of DM after enrollment and a longer time since HIV diagnosis [hazard ratio (HR) = 2.65 and 1.13, P < 0.05 for both]. Attending a clinic with an endocrinologist was associated with the outcome [adjusted HR (aHR) = 1.41 95% confidence interval (CI): (1.01 to 1.97)]. In addition, comparing clinics that treat everyone, refer everyone or have a mix of treating and referring, showed an association between attending a clinic that treats everyone [aHR = 1.52 95% CI: (1.21 to 1.90)] or a clinic that refers everyone [aHR = 2.24 95% CI: (1.63 to 3.07)] compared with clinics with a mix in achieving glycemic control. CONCLUSION: Multiple factors are associated with achieving glycemic control in an urban cohort of PWH. Determining if specific services or structures improve DM outcomes may improve health outcomes for PWH and DM.

OBJECTIVE: To evaluate the uptake of perinatal HIV preventive interventions by risk of perinatal HIV transmission in mother-infant pairs in a high HIV prevalence area in the United States (US). STUDY DESIGN: This was a retrospective cohort study of mother-infant pairs with perinatal HIV exposure during 2013–2017 managed at a subspecialty pediatric HIV program in Washington, DC. We collected demographics, maternal HIV history, delivery mode, maternal and infant antiretroviral drug (ARV) use, and infant’s HIV test results. We compared the uptake of recommended preventive interventions in low-risk (mothers on ARVs with viral suppression) and high-risk (mothers without ARVs or viral suppression) mother-infant pairs using Pearson’s Chi-square, Fisher’s exact, Wilcoxon rank sum tests, and logistic regression. RESULTS: We analyzed 551 HIV-exposed infants and 542 mothers living with HIV. The majority of mothers received ARVs (95.5%), had HIV RNA ≤1,000 copies/mL before delivery (81.9%), and received intrapartum zidovudine (65.5%). The majority of all HIV-exposed infants was low-risk (82.6%) and received postpartum ARVs (98.9%). Among low-risk infants, 53.2% were delivered via cesarean delivery, and 62.9% and 96.5% were administered intrapartum and postpartum zidovudine, respectively. Among high-risk infants, 84.4% were delivered via cesarean delivery, 78.1% received intrapartum zidovudine, and 62.5% received combination ARVs. Nine high-risk infants acquired HIV perinatally. CONCLUSION: In an area of high HIV prevalence in the US, a large proportion of low-risk HIV-exposed infants received intrapartum zidovudine and was delivered via cesarean delivery. We also observed missed opportunities for the prevention of perinatal HIV transmission.

BACKGROUND: Data on integrase strand transfer inhibitor (INSTI) use in children, adolescents, and young adults with HIV are limited. We evaluated virologic and safety outcomes following INSTI initiation among treatment-experienced children, adolescents, and young adults. METHODS: The DC Cohort is a multi-center observational study of individuals receiving HIV care in Washington, DC. This analysis included treatment-experienced participants aged 0-24 years who initiated an INSTI during 2011-2017. Viral suppression (VS) and safety outcomes were quantified. Differences in VS by age, sex, and CD4 count were assessed using Kaplan-Meier curves. RESULTS: Of 141 participants (median age 20 years; 35% 500) cells/μL were less likely to achieve VS (p

To explore reasons for the disproportionate metabolic and cardiovascular disease burdens among older HIV-infected persons, we investigated whether associations of CD4 count and HIV viral load (VL) with non-high-density lipoprotein cholesterol (non-HDL-C) and high-density lipoprotein cholesterol [HDL-C] differed by age. Longitudinal clinical and laboratory data were collected between 2011 and 2016 for HIV-infected outpatients in the DC Cohort study. Using data for patients aged ≥21 years with ≥1 cholesterol result and contemporaneous CD4/VL results, we created multivariable linear regression models with generalized estimating equations. Among 3,912 patients, the median age was 50 years, 78% were male, 76% were non-Hispanic black, 93% were using antiretroviral therapy, 8% had a CD4 count 500) cells/μL and VL ≥200 copies/mL were associated with lower non-HDL-C concentrations (p 500 cells/μL [β = −2.2 (95% CI: −3.7 to −0.8)] (CD4–VL interaction, p

Background HIV cohort studies have been used to assess health outcomes and inform the care and treatment of people living with HIV disease. However, there may be similarities and differences between cohort participants and the general population from which they are drawn. Objective The objective of this analysis was to compare people living with HIV who have and have not been enrolled in the DC Cohort study and assess whether participants are a representative citywide sample of people living with HIV in the District of Columbia (DC). Methods Data from the DC Health (DCDOH) HIV surveillance system and the DC Cohort study were matched to identify people living with HIV who were DC residents and had consented for the study by the end of 2016. Analysis was performed to identify differences between DC Cohort and noncohort participants by demographics and comorbid conditions. HIV disease stage, receipt of care, and viral suppression were evaluated. Adjusted logistic regression assessed correlates of health outcomes between the two groups. Results There were 12,964 known people living with HIV in DC at the end of 2016, of which 40.1% were DC Cohort participants. Compared with nonparticipants, participants were less likely to be male (68.0% vs 74.9%, P Conclusions These data have important implications when assessing the representativeness of patients enrolled in clinic-based cohorts compared with the DC-area general HIV population. As participants continue to enroll in the DC Cohort study, ongoing assessment of representativeness will be required.

Statin coverage has been examined among HIV-infected patients using Adult Treatment Panel III (ATP III) and American College of Cardiology/American Heart Association (ACC/AHA) guidelines, although not with newer National Lipid Association (NLA) guidelines. We investigated statin eligibility, prescribing practices, and therapeutic responses using these three guidelines. Sociodemographic, clinical, and laboratory data were collected between 2011 and 2016 for HIV-infected outpatients enrolled in the DC Cohort, a multi-center, prospective, observational study in Washington, DC. This analysis included patients aged ≥21 years receiving primary care at their HIV clinic site with ≥1 cholesterol result available. Of 3312 patients (median age 52; 79% black), 52% were eligible for statins based on ≥1 guideline, including 45% (NLA), 40% (ACC/AHA), and 30% (ATP III). Using each guideline, 49% (NLA), 56% (ACC/AHA), and 73% (ATP III) of eligible patients were prescribed statins. Predictors of new prescriptions included older age (aHR = 1.16 [1.08-1.26]/5 years), body mass index ≥30 (aHR = 1.50 [1.07-2.11]), and diabetes (aHR = 1.35 [1.03-1.79]). Hepatitis C coinfection was inversely associated with statin prescriptions (aHR = 0.67 [0.45-1.00]). Among 216 patients with available cholesterol results pre-/post-prescription, 53% achieved their NLA cholesterol goal after 6 months. Hepatitis C coinfection was positively associated (aHR = 1.87 [1.06-3.32]), and depression (aHR = 0.56 [0.35-0.92]) and protease inhibitor use (aHR = 0.61 [0.40-0.93]) were inversely associated, with NLA goal achievement. Half of patients were eligible for statins based on current US guidelines, with the highest proportion eligible based on NLA guidelines, yet, fewer received prescriptions and achieved treatment goals. Greater compliance with recommended statin prescribing practices may reduce cardiovascular disease risk among HIV-infected individuals.

Community-based hepatitis C virus screening can identify individuals who are unaware of their infection and not regularly engaged in care. We report on a pilot study exploring the utility of using HIV surveillance data to identify targeted, geographical areas with high HIV prevalence and poor care indicators for screening baby boomers at risk for HCV. Between August-September 2014, we conducted community-based HCV rapid testing in high-risk census tracts. Eligible participants were born from 1945-1965 and not currently engaged in HCV care. Overall, 30% were HCV-antibody positive, 34% had a medical visit in the past year and among those with a medical visit, 75% had never been HCV-tested before. Using HIV surveillance data for targeted, community-based HCV testing yielded a high prevalence of untreated HCV cases. A large proportion had never been HCV-tested, suggesting this testing paradigm may be effective in reaching individuals at risk for HCV in a community-based setting.

Background Central to measuring the impact of the COVID-19 pandemic on HIV is understanding the role of loss of access to essential HIV prevention and care services created by clinic and community-based organization closures. In this paper, we use a comprehensive list of HIV prevention services in four corridors of the US heavily impacted by HIV, developed as part of a large RCT, to illustrate the potential impact of service closure on LGBTQ+ youth. Methods We identified and mapped LGBTQ+ friendly services offering at least one of the following HIV-related services: HIV testing; STI testing; PrEP/PEP; HIV treatment and care; and other HIV-related services in 109 counties across four major interstate corridors heavily affected by HIV US Census regions: Pacific (San Francisco, CA to San Diego, CA); South-Atlantic (Washington, DC to Atlanta, GA); East-North-Central (Chicago, IL to Detroit, MI); and East-South-Central (Memphis, TN to New Orleans, LA). Results There were a total of 831 LGBTQ+ youth-friendly HIV service providers across the 109 counties. There was a range of LGBTQ+ youth-friendly HIV-service provider availability across counties (range: 0–14.33 per 10,000 youth aged 13–24 (IQR: 2.13), median: 1.09); 9 (8.26%) analyzed counties did not have any LGBTQ+ youth-friendly HIV service providers. The Pearson correlation coefficient for the correlation between county HIV prevalence and LGBTQ+ youth-friendly HIV service provider density was 0.16 (p = 0.09), suggesting only a small, non-statistically significant linear relationship between a county’s available LGBTQ+ youth-friendly HIV service providers and their HIV burden. Conclusions As the COVID-19 pandemic continues, we must find novel, affordable ways to continue to provide sexual health, mental health and other support services to LGBTQ+ youth.

Background HealthMindr is a mobile phone HIV prevention app for men who have sex with men (MSM). In a previous pilot study, HealthMindr was found to be acceptable among users and to demonstrate preliminary effectiveness for increasing pre-exposure prophylaxis (PrEP) uptake among MSM. PrEP is a highly effective HIV prevention intervention; however, uptake remains low. Objective To assess the efficacy of a mobile app for increasing PrEP uptake among MSM in the southern United States. Methods In this randomized controlled trial, we will assess the efficacy of HealthMindr for increasing PrEP uptake among MSM in the following three southern US cities: Atlanta, Georgia; Jackson, Mississippi; and Washington, DC. In total, 657 men will be recruited and randomized to intervention and control arms in a 2:1 ratio. Participants in the intervention arm will receive access to the full HealthMindr app, with information and resources about PrEP (eg, frequently asked questions, risk assessment tool, and PrEP provider locator), other HIV prevention information, ability to order free HIV/sexually transmitted infection test kits, and additional resources related to substance use and mental health. Participants in the control arm will use the HealthMindr app but will only have access to the study timeline and a message center to communicate with study staff. Participants will complete quarterly surveys to assess self-reported PrEP uptake over 12 months of follow-up. Self-reported PrEP uptake will be verified by dried blood spot testing and/or uploading a photograph of a PrEP prescription. Results Participant recruitment is expected to begin in January 2020. Conclusions This trial will determine whether the HealthMindr app can increase PrEP uptake among MSM in the southern United States. Trial Registration ClinicalTrials.gov NCT03763942; https://clinicaltrials.gov/ct2/show/NCT03763942 International Registered Report Identifier (IRRID) PRR1-10.2196/16231

Purpose HIV pre-exposure prophylaxis (PrEP) is highly efficacious, and yet most individuals indicated for it are not currently using it. To provide guidance for health policymakers, researchers, and community advocates, we developed county-level PrEP use estimates and assessed locality and policy associations. Methods Using data from a national aggregator, we applied a validated crosswalk procedure to generate county-level estimates of PrEP users in 2018. A multilevel Poisson regression explored associations between PrEP use and (1) state policy variables of Medicaid expansion and state Drug Assistance Programs (PrEP-DAPs) and (2) county-level characteristics from the U.S. Census Bureau. Outcomes were PrEP per population (prevalence) and PrEP-to-need ratio (PnR), defined as the ratio of PrEP users per new HIV diagnosis. Higher levels of PrEP prevalence or PnR indicate more PrEP users relative to the total population or estimated need, respectively. Results Our 2018 county-level data set included a total of 188,546 PrEP users in the United States. Nationally, PrEP prevalence was 70.3/100,000 population and PnR was 4.9. In an adjusted model, counties with a 5% higher proportion of black residents had 5% lower PnR (rate ratio (RR): 0.95, 95% confidence interval (CI): 0.93, 0.96). Similarly, counties with higher concentration of residents uninsured or living in poverty had lower PnR. Relative to states without Medicaid expansion or PrEP-DAPs, states with only one of those programs had 25% higher PrEP prevalence (RR: 1.25, 95% CI: 1.09, 1.45), and states with both programs had 99% higher PrEP prevalence (RR: 1.99, 95% CI: 1.60, 2.48). There was a significant linear trend across the three policy groups, and similar findings for the relation between PnR and the policy groups. Conclusions In a data set comprising approximately 80% of PrEP users in the United States, we found that Medicaid expansion and PrEP-DAPs were associated with higher PrEP use in states that adopted those policies, after controlling for potential confounders. Future research should identify which components of PrEP support programs have the most success and how to best promote PrEP among groups most impacted by the epidemic. States should support the admirable health decisions of their residents to get on PrEP by implementing policies that facilitate access.

Purpose Pre-exposure prophylaxis (PrEP) is a pillar of the US Department of Health and Human Services “Ending the HIV Epidemic” (EHE) initiative in 50 EHE jurisdictions (48 U.S. counties and two U.S. cities) and seven U.S. states with high numbers of HIV diagnoses rates in rural areas. Current data systems do not provide data on PrEP uptake in counties or cities. Methods We report on PrEP users at the county level. Data from a large, commercial pharmacy database were used; we applied the U.S. Census Bureau's method to allocate PrEP users within a ZIP3 into counties and validated the results. We report counts and rates of PrEP users in 2018 for all EHE jurisdictions. We used joinpoint regression to model the estimated annual percent change in PrEP use for each jurisdiction and state. Results 93,156 people in the 50 EHE jurisdictions used PrEP in 2018; 94% were men and 39% were aged 25–34 years. There was more than an 80-fold difference in the range of rates of PrEP use per 100,000 population among the EHE jurisdictions (range: 8–644 per 100,000 population; median 93 per 100,000 population). PrEP use increased from 2012 to 2018 in all EHE counties and states. At current rates of growth of PrEP use, 94% of EHE counties and jurisdictions will reach their National HIV/AIDS Strategy goals of a 500% increase in PrEP use in 2020. EHE states had less variation in rates of PrEP use (range: 29–51/100,000 population; median 32/100,000 population). Conclusions At the outset of a major U.S. government program to reduce HIV infections, rates of PrEP use are highly variable among the 50 EHE jurisdictions. Data from commercial prescription databases will be a useful public resource to understand progress in promoting use of PrEP as part of the EHE initiative and evaluating progress in PrEP use across health jurisdictions.

Objective: Adolescents and young adults (AYAs) account for >20% of new HIV diagnoses in the United States, yet >50% are unaware of their infection. Digital gaming is widespread among youth and has proven efficacious in other disease areas; thus, we sought to determine whether a life-and-dating simulation game to increase HIV testing would be acceptable among AYAs. Materials and Methods: Focus groups and surveys were administered to health care providers and AYAs in Washington, DC. AYAs were shown a life-and-dating simulation game that incorporated the Centers for Disease Control and Prevention Risk Estimator tool to demonstrate the potential HIV risk of selected behaviors and a zipcode-level HIV testing locator. Thematic analysis was used to identify general gaming themes and game acceptance. Descriptive statistics were used to summarize response frequencies and Likert scales were used to evaluate game acceptability. Results: Providers, some of whom (38%, n = 5/13) had significant experience caring for youth living with or at increased risk for HIV, advised against the game forcing youth to disclose sexual identity or labeling youth “at risk.” AYAs (n = 46) found the initial and revised versions of the game to be highly acceptable: youth thought the game was interesting [mean (standard deviation, SD) = 4.8/5 (0.4)]; liked playing games about HIV-related behaviors [mean (SD) = 4.8/5 (0.5)]; and would share the game to help friends get tested for HIV [mean = 4.6/5 (0.8)]. Conclusions: This study suggests that a digital game to improve HIV testing is acceptable among youth. An efficacy trial is planned to determine the impact of the game on improving HIV testing.

The HIV epidemic in the USA began as a bicoastal epidemic focused in large cities but, over nearly four decades, the epidemiology of HIV has changed. Public health surveillance data can inform an understanding of the evolution of the HIV epidemic in terms of the populations and geographical areas most affected. We analysed publicly available HIV surveillance data and census data to describe: current HIV prevalence and new HIV diagnoses by region, race or ethnicity, and age; trends in HIV diagnoses over time by HIV acquisition risk and age; and the distribution of HIV prevalence by geographical area. We reviewed published literature to explore the reasons for the current distribution of HIV cases and important disparities in HIV prevalence. We identified opportunities to improve public health surveillance systems and uses of data for planning and monitoring public health responses. The current US HIV epidemic is marked by geographical concentration in the US South and profound disparities between regions and by race or ethnicity. Rural areas vary in HIV prevalence; rural areas in the South are more likely to have a high HIV prevalence than rural areas in other US Census regions. Ongoing disparities in HIV in the South are probably driven by the restricted expansion of Medicaid, health-care provider shortages, low health literacy, and HIV stigma. HIV diagnoses overall declined in 2009-18, but HIV diagnoses among individuals aged 25-34 years increased during the same period. HIV diagnoses decreased for all risk groups in 2009-18; among men who have sex with men (MSM), new diagnoses decreased overall and for White MSM, remained stable for Black MSM, and increased for Hispanic or Latino MSM. Surveillance data indicate profound and ongoing disparities in HIV cases, with disproportionate impact among people in the South, racial or ethnic minorities, and MSM.

Purpose Propensity score matching (PSM) is often used to estimate the average treatment effect among the treated (ATT) using observational data. We demonstrate how the use of “double propensity score adjustment” can reduce residual confounding and avoid bias due to incomplete matching compared with traditional PSM methods. Methods The DC Cohort is an observational clinical HIV cohort in Washington, DC. We compared the mean percent change in non–high-density lipoprotein cholesterol (non–HDL-C) concentration after 3–12 months between participants treated and participants not treated with statin therapy between 2011 and 2018. We conducted traditional PSM procedures (optimal, nearest neighbor, and nearest neighbor caliper matching) and double propensity score adjustment. Results Among 202 treated and 1252 untreated participants, the ATT was −14.5% (95% CI: −18.4, −10.6) after optimal matching (202 matched pairs; 15/22 covariates balanced), −14.9% (−18.9, −11.0) after nearest neighbor matching (202 matched pairs; 17/22 covariates balanced), and −12.0% (−16.5, −7.5) after nearest neighbor caliper matching (153 matched pairs; 21/22 covariates balanced). After double propensity score adjustment, the ATT was -13.0% (−16.0, −10.1). Conclusions In PSM analyses, double propensity score adjustment is a readily accessible alternative approach for estimating ATTs when sufficient covariate balance between treatment groups cannot be achieved without excluding treated participants.

OBJECTIVE: To evaluate associations of mood, anxiety, stress-/trauma-related, and psychotic disorders, both treated and untreated, with duration of unsuppressed HIV viral load (VL) among persons living with HIV (PLWH). SETTING: The DC Cohort, an observational clinical cohort of PLWH followed from 2011–2018 at 14 sites in Washington, DC. METHODS: Among PLWH ≥18 years old who received primary care at their HIV clinic, we determined in a time-updated manner whether participants had diagnoses and pharmacologic prescriptions for mood, anxiety, stress-/trauma-related, and/or psychotic disorders. Associations between psychiatric disorders/treatments and the proportion of subsequent days with VL ≥200 copies/mL were assessed using multivariable Poisson regression with generalized estimating equations. RESULTS: Among 5,904 participants (median age 51; 70% male; 82% Black), 45% had ≥1 psychiatric disorder, including 38% with mood disorders (50% treated), 18% with anxiety or stress-/trauma-related disorders (64% treated), and 4% with psychotic disorders (52% treated). Untreated major depressive disorder (adjusted rate ratio=1.17; 95% confidence interval: 1.00–1.37), untreated other/unspecified depressive disorder (1.23; 1.01–1.49), untreated bipolar disorder (1.39; 1.15–1.69), and treated bipolar disorder (1.25; 1.02–1.53) (vs. no mood disorder) predicted more time with VL ≥200 copies/mL. Treated anxiety disorders (vs. no anxiety disorder) predicted less time (0.78; 0.62–0.99). Associations were weaker and non-significant for treated depressive disorders (vs. no mood disorder) and untreated anxiety disorders (vs. no anxiety disorder). CONCLUSIONS: PLWH with depressive and bipolar disorders, particularly when untreated, spent more time with unsuppressed VL than PLWH without a mood disorder. Treatment of mood disorders may be important for promoting sustained viral suppression.

Background Improved detection and linkage to care of previously undiagnosed HIV infections require innovative approaches to testing. We sought to determine the feasibility of targeted HIV testing in geographic areas, defined by continuum of care parameters, to identify HIV-infected persons needing linkage or engagement in care. Methods Using HIV surveillance data from Washington, DC, we identified census tracts that had an HIV prevalence >1% and were either above (higher risk areas-HRAs) or below (lower risk areas-LRAs) the median for 3 indicators: monitored viral load, proportion of persons out of care (OOC), and never in care. Community-based HIV rapid testing and participant surveys were conducted in the 20 census tracts meeting the criteria. Areas were mapped using ArcGIS, and descriptive and univariate analyses were conducted comparing the areas and participants. Results Among 1471 persons tested, 28 (1.9%) tested HIV positive; 2.1% in HRAs vs. 1.7% in LRAs (P = 0.57). Higher proportions of men (63.7% vs. 56.7%, P = 0.007) and fewer blacks (91.0% vs. 94.6%, P = 0.008) were tested in LRAs vs. HRAs; no differences were observed in risk behaviors between the areas. Among HIV-positive participants, 54% were new diagnoses (n = 9) or OOC (n = 6), all were Black, 64% were men with a median age of 51 years. Conclusions Although significant differences in HIV seropositivity were not observed between testing areas, our approach proved feasible and enabled identification of new diagnoses and OOC HIV-infected persons. This testing paradigm could be adapted in other locales to identify areas for targeted HIV testing and other reengagement efforts.

As the HIV epidemic passes its 35 years mark, the role of multidisciplinary approaches to HIV research has become increasingly important. Development of diverse, cross-cutting research teams has been found to be key to engaging and retaining participants in population-based studies; it is also a crucial component of designing studies capable of examining the sensitive and nuanced issues that surround HIV related risk and adherence behavior. Expanding our understanding of these issues is central to being able to overcome them and ultimately to the development of best practices for translation of research discovery into improvements in prevention and care. The objectives of this paper are to characterize the importance of multidisciplinary teams in HIV research where they are critical to gaining information that can have a positive impact on the epidemic and to propose specific methods for creating teams to conduct research with optimal public health impact.

Background AIDSVu is a public resource for visualizing HIV surveillance data and other population-based information relevant to HIV prevention, care, policy, and impact assessment. Objective The site, AIDSVu.org, aims to make data about the US HIV epidemic widely available, easily accessible, and locally relevant to inform public health decision making. Methods AIDSVu develops visualizations, maps, and downloadable datasets using results from HIV surveillance systems, other population-based sources of information (eg, US Census and national probability surveys), and other data developed specifically for display and dissemination through the website (eg, pre-exposure prophylaxis [PrEP] prescriptions). Other types of content are developed to translate surveillance data into summarized content for diverse audiences using infographic panels, interactive maps, local and state fact sheets, and narrative blog posts. Results Over 10 years, AIDSVu.org has used an expanded number of data sources and has progressively provided HIV surveillance and related data at finer geographic levels, with current data resources providing HIV prevalence data down to the census tract level in many of the largest US cities. Data are available at the county level in 48 US states and at the ZIP Code level in more than 50 US cities. In 2019, over 500,000 unique users consumed AIDSVu data and resources, and HIV-related data and insights were disseminated through nearly 4,000,000 social media posts. Since AIDSVu’s inception, at least 249 peer-reviewed publications have used AIDSVu data for analyses or referenced AIDSVu resources. Data uses have included targeting of HIV testing programs, identifying areas with inequitable PrEP uptake, including maps and data in academic and community grant applications, and strategically selecting locations for new HIV treatment and care facilities to serve high-need areas. Conclusions Surveillance data should be actively used to guide and evaluate public health programs; AIDSVu translates high-quality, population-based data about the US HIV epidemic and makes that information available in formats that are not consistently available in surveillance reports. Bringing public health surveillance data to an online resource is a democratization of data, and presenting information about the HIV epidemic in more visual formats allows diverse stakeholders to engage with, understand, and use these important public health data to inform public health decision making.

The DC Cohort is an ongoing longitudinal observational study of persons living with HIV. To better understand HIV-1 drug resistance and potential transmission clusters among these participants, we performed targeted, paired-end next-generation sequencing (NGS) of protease, reverse transcriptase and integrase amplicons. We elected to use free, publicly-available software (HyDRA Web, Stanford HIVdb and HIV-TRACE) for data analyses so that laboratory personnel without extensive bioinformatics expertise could use it; making the approach accessible and affordable for labs worldwide. With more laboratories transitioning away from Sanger-based chemistries to NGS platforms, lower frequency drug resistance mutations (DRMs) can be detected, yet their clinical relevance is uncertain. We looked at the impact choice in cutoff percentage had on number of DRMs detected and found an inverse correlation between the two. Longitudinal studies will be needed to determine whether low frequency DRMs are an early indicator of emerging resistance. We successfully validated this pipeline against a commercial pipeline, and another free, publicly-available pipeline. RT DRM results from HyDRA Web were compared to both SmartGene and PASeq Web; using the Mantel test, R2 values were 0.9332 (p

Background: An estimated 50% of adolescents and young adults (AYA) living with HIV are failing to adhere to prescribed antiretroviral treatment (ART). Digital games are effective in chronic disease management; however, research on gaming to improve ART adherence among AYA is limited. Objective: We assessed the feasibility and acceptability of video gaming to improve AYA ART adherence. Methods: Focus group discussions and surveys were administered to health care providers and AYA aged 13 to 24 years living with HIV at a pediatric HIV program in Washington, DC. During focus group discussions, AYA viewed demonstrations of 3 game prototypes linked to portable Wisepill medication dispensers. Content analysis strategies and thematic coding were used to identify adherence themes and gaming acceptance and feasibility. Likert scale and descriptive statistics were used to summarize response frequencies. Results: Providers (n=10) identified common adherence barriers and strategies, including use of gaming analogies to improve AYA ART adherence. Providers supported exploration of digital gaming as an adherence intervention. In 6 focus group discussions, 12 AYA participants identified disclosure of HIV status and irregular daily schedules as major barriers to ART and use of alarms and pillboxes as reminders. Most AYA were very or somewhat likely to use the demonstrated game prototypes to help with ART adherence and desired challenging, individually tailored, user-friendly games with in-game incentives. Game prototypes were modified accordingly. Conclusions: AYA and their providers supported the use of digital games for ART adherence support. Individualization and in-game incentives were preferable and informed the design of an interactive technology-based adherence intervention among AYA living with HIV.

Distance to HIV care may be associated with retention in care (RIC) and viral suppression (VS). RIC (≥ 2 HIV visits or labs ≥ 90 days apart in 12 months), prescribed antiretroviral therapy (ART), VS (

Background Agents from the integrase inhibitor (INSTI) therapeutic class only are recommended as initial therapy for most patients with HIV. Clinicians now face a decision when treating ART-experienced patients on non-INSTI regimens: continue current therapy or switch to INSTI. Multiple factors may be considered in this decision: clinician/patient preference, comorbidities, tolerability, and resistance history. The objective of this analysis was to examine patient factors associated with currently taking an INSTI-based regimen. Methods We used data from the DC Cohort, a longitudinal observational cohort of patients receiving HIV care at 14 clinics between 2011–2018. Participants in the sample had ≥ 1 encounter between 4/1/17 and 3/1/18, were aged ≥ 18 years and were ART experienced. Participants were classified as currently, previously, or never on an INSTI. Independent variables included demographics, clinical characteristics, alcohol/tobacco use, HBV/HCV status and HIV-related variables (recent CD4 and HIV RNA, presence of resistance mutations). Multivariable multinomial logistic regression was used to identify factors associated with INSTI use status. Results Among 4584 participants (58.2% aged 50+ years; 69.4% male; 2.5% transgender; 80.3% Black; 36% MSM), most (65.0%) were current INSTI users; however, a sizeable proportion (28.3%) were never users and 6.7% were former users. Current and previous INSTI users were more likely to have a major NRTI, NNRTI or PI mutation compared with never users (see Table 1). Transgender participants (compared with males), were less likely to be current (vs. never) users (adjusted odds ratio (aOR) 0.48, 95% CI 0.32, 0.72). Younger participants (18–24 vs 50+ years) were more likely current users (aOR 1.90, 95% CI 1.18, 3.06), as were Hispanic participants (aOR 1.39, 95% CI 1.05, 1.84). Conclusion The majority of active DC Cohort participants were using INSTI-based therapy. Transgender and older individuals were less likely to be on INSTIs, indicating that they are more likely to be on PI-based or NNRTI-based therapy or not on therapy. Further research should explore whether this is detrimental for long-term HIV outcomes in these patient groups. Additionally, these results suggest resistance history as an important driver of INSTI prescription. Disclosures All authors: No reported disclosures.

Introduction Preexposure prophylaxis (PrEP) is a promising approach to reducing HIV incidence. So, garnering the support of HIV providers, who are most familiar with antiretrovirals and likely to encounter patients in HIV serodiscordant relationships, to scale-up PrEP implementation is essential. We sought to determine whether certain subgroups of HIV providers were more likely to intend to prescribe PrEP. Methods Surveys were administered to HIV providers in Miami, Florida and Washington, District of Columbia. Composite scores were developed to measure PrEP knowledge, experience, and likelihood of prescribing. Latent class analysis was used to stratify provider attitudes toward PrEP. Results Among 142 HIV providers, 73.2% had cared for more than 20 HIV-infected patients in the previous 3 months; 17% had ever prescribed PrEP. Latent class analysis identified 2 classes of providers (entropy, 0.904); class 1 (n = 95) found PrEP less effective and perceived barriers to prescribing it; class 2 (n = 47) perceived PrEP as moderately effective and perceived fewer barriers to prescribing it. Compared with class 2, class 1 had significantly less experience with PrEP delivery (t(22.7) = 2.88, P = 0.009) and was significantly less likely to intend to prescribe to patients with multiple sex partners (20% vs. 43%, P = 0.04) and those with a drug use history (7% vs. 24%, P = 0.001). Conclusions Although most HIV providers found PrEP to be effective, those considering it less effective had limited knowledge and experience with PrEP and had lesser intentions to prescribe. Provider training regarding whom should receive PrEP and addressing potential barriers to PrEP provision are needed if this HIV prevention method is to be optimized.

Background Indicators for determining one's status on the HIV care continuum are often measured using clinical and surveillance data but do not typically assess patient perspectives. We assessed patient-reported care status along the care continuum and whether it differed from medical records and surveillance data. Methods Between June 2013 and October 2014, a convenience sample of clinic-attending HIV-infected persons was surveyed regarding care-seeking behaviors and self-perceived status along the care continuum. Participant responses were matched to DC Department of Health surveillance data and clinic records. Participants' care patterns were classified using Health Resources Services Administration-defined care status: in care (IC), sporadic care (SC), or out of care (OOC). Semistructured qualitative interviews were analyzed using an open coding process to elucidate relevant themes regarding participants' perceptions of engagement in care. Results Of 169 participants, most were male participants (64%) and black (72%), with a mean age of 50.7 years. Using self-reported visit patterns, 115 participants (68%) were consistent with being IC, 33 (20%) SC, and 21 (12%) OOC. Among OOC participants, 52% perceived themselves to be fully engaged in HIV care. In the previous year, among OOC participants, 71% reported having a non-HIV-related medical visit and 90% reported current antiretroviral use. Qualitatively, most SC and OOC persons did not see their HIV providers regularly because they felt healthy. Conclusions Participants' perceptions of HIV care engagement differed from actual care receipt as measured by surveillance and clinical records. Measures of care engagement may need to be reconsidered as persons not receiving regular HIV care maybe accessing other health care and HIV medications elsewhere.

This update on the epidemiology and prevention of HIV in the United States is intended to provide contextual background that will help inform an understanding of recent developments in the domestic HIV epidemic. We describe the epidemiology of HIV disease in the US and the HIV continuum of care based on data collected primarily through HIV surveillance systems led by the Centers for Disease Control and Prevention including HIV incidence, prevalence, comorbidities and death. Populations and geographic regions disparately impacted by HIV are also highlighted. The HIV prevention armamentarium is also described including behavioral approaches to prevention, the emerging availability of biomedical prevention interventions such as pre-exposure prophylaxis, and structural and population-level interventions including treatment as prevention. Finally gaps in our understanding of the epidemic are underscored and suggestions for future epidemiologic research are proposed.

Purpose The number of individuals who have started a regimen for HIV pre-exposure prophylaxis (PrEP) in the United States is not well characterized but has been on the rise since 2012. This analysis assesses the distribution of PrEP use nationally and among subgroups. Methods A validated algorithm quantifying tenofovir disoproxil fumarate/emtricitabine for PrEP in the United States was applied to a national prescription database to determine the quarterly prevalence of PrEP use. HIV diagnoses from 2016 were used as an epidemiological proxy for PrEP need. The PrEP-to-need ratio (PnR) was defined as the number of PrEP users divided by new HIV diagnoses. Results A total of 70,395 individuals used PrEP in the fourth quarter of 2017: 67,166 males and 3229 females. Nationally, prevalence of PrEP use was 26/100,000 (range across states per 100,000 [RAS/100k]: 4–73) and the PnR was 1.8 (RAS: 0.5–6.6). Prevalence of PrEP use among males and females, respectively, was 50/100,000 and 2/100,000 (RAS/100k: 7–143 and 0.3–7) and PnR was 2.1 and 0.4 (RAS: 0.6–7.1 and 0.1–4.0). Prevalence of PrEP use was lowest among individuals aged less than or equal to 24 and more than or equal to 55 years (15/100,000 and 6/100,000, RAS/100k: 1–45 and 0.4–14), with PnR 0.9 and 1.5 (RAS: 0.2–5.6 and 0.3–7.0). The Northeast had the highest PnR (3.3); the South had the lowest (1.0). States with Medicaid expansion had more than double the PnR than states without expansion. Conclusions Available data suggest that females, individuals aged less than or equal to 24 years and residents of the South had lower levels of PrEP use relative to epidemic need. These results are ecological, and misclassification may attenuate results. PnR is useful for future assessments of HIV prevention strategy uptake.

Purpose Pre-exposure prophylaxis (PrEP) with oral emtricitibine/tenofovir disoproxil fumarate (TDF/FTC) reduces the risk of HIV infection by >90% when taken as prescribed. Trends in prevalence of PrEP use, which account for persons who have stopped PrEP, increased through 2016, but have not been described since. Methods Annual prevalence estimates of unique, TDF/FTC PrEP users (individuals with ≥1 day of a filled PrEP prescription in a given year) in the United States (US) were generated for 2012–2017 from a national prescription database. A validated algorithm was used to distinguish users of TDF/FTC for HIV or chronic Hepatitis B treatment or postexposure prophylaxis from PrEP users. We calculated annual prevalence of PrEP use overall and by age, sex, and region. We used log-transformation to calculate estimated annual percent change (EAPC) in the prevalence of PrEP use. Results Annual prevalence of PrEP use increased from 3.3/100,000 population in 2012 to 36.7 in 2017 –a 56% annual increase from 2012 to 2017 (EAPC: +56%). Annual prevalence of PrEP use increased faster among men than among women (EAPC: +68% and +5%, respectively). By age group, annual prevalence of PrEP use increased fastest among 25- to 34-year olds (EAPC: +61%) and slowest among ≥55-year olds (EAPC: +52%) and ≤24-year olds (EAPC: +51%). In 2017, PrEP use was lowest in the South (29.8/100,000) and highest in the Northeast (62.3/100,000). Conclusions Despite overall increases in the annual number of TDF/FTC PrEP users in the US from 2012 to 2017, the growth of PrEP coverage is inconsistent across groups. Efforts to optimize PrEP access are especially needed for women and for those living in the South.

Background Washington, DC, has one of the highest rates of HIV infection in the United States. Sexual intercourse is the leading mode of HIV transmission, and sexually transmitted infections (STIs) are a risk factor for HIV acquisition and transmission. Methods We evaluated the incidence and demographic factors associated with chlamydia, gonorrhea, and syphilis among HIV-infected persons enrolled at 13 DC Cohort sites from 2011 to 2015. Using Poisson regression, we assessed covariates of risk for incident STIs. We also examined HIV viral loads (VLs) at the time of STI diagnosis as a proxy for HIV transmission risk. Results Six point seven percent (451/6672) developed an incident STI during a median follow-up of 32.5 months (4% chlamydia, 3% gonorrhea, 2% syphilis); 30% of participants had 2 or more STI episodes. The incidence rate of any STIs was 3.8 cases per 100 person-years (95% confidence interval [CI], 3.5–4.1); age 18–34 years, 10.8 (95% CI, 9.7–12.0); transgender women, 9.9 (95% CI, 6.9–14.0); Hispanics, 9.2 (95% CI, 7.2–11.8); and men who have sex with men (MSM), 7.7 (95% CI, 7.1–8.4). Multivariate Poisson regression showed younger age, Hispanic ethnicity, MSM risk, and higher nadir CD4 counts to be strongly associated with STIs. Among those with an STI, 41.8% had a detectable VL within 1 month of STI diagnosis, and 14.6% had a VL ≥1500 copies/mL. Conclusions STIs are highly prevalent among HIV-infected persons receiving care in DC. HIV transmission risk is considerable at the time of STI diagnosis. Interventions toward risk reduction, antiretroviral therapy adherence, and HIV virologic suppression are critical at the time of STI evaluation.

Background Drug resistance limits options for antiretroviral therapy (ART) and results in poorer health outcomes among HIV-infected persons. We sought to characterize resistance patterns and to identify predictors of resistance in Washington, DC. Methods We analyzed resistance in the DC Cohort, a longitudinal study of HIV-infected persons in care in Washington, DC. We measured cumulative drug resistance (CDR) among participants with any genotype between 1999 and 2014 (n = 3411), transmitted drug resistance (TDR) in ART-naïve persons (n = 1503), and acquired drug resistance (ADR) in persons with genotypes before and after ART initiation (n = 309). Using logistic regression, we assessed associations between patient characteristics and transmitted resistance to any antiretroviral. Results Prevalence of TDR was 20.5%, of ADR 40.5%, and of CDR 45.1% in the respective analysis groups. From 2004 to 2013, TDR prevalence decreased for nucleoside and nucleotide analogue reverse transcriptase inhibitors (15.0 to 5.5%; p = 0.0003) and increased for integrase strand transfer inhibitors (INSTIs) (0.0–1.4%; p = 0.04). In multivariable analysis, TDR was not associated with age, race/ethnicity, HIV risk group, or years from HIV diagnosis. Conclusions In this urban cohort of HIV-infected persons, almost half of participants tested had evidence of CDR; and resistance to INSTIs was increasing. If this trend continues, inclusion of the integrase-encoding region in baseline genotype testing should be strongly considered.

This article presents an overview of pre-exposure prophylaxis (PrEP) for human immunodeficiency virus (HIV) prevention. The authors describe the past animal and human research that has been conducted that informs our current understanding of PrEP; summarize ongoing research in the area, including describing new regimens and delivery mechanisms being studied for PrEP; and highlight key issues that must be addressed in order to implement and optimize the use of this HIV prevention tool.

Background Among persons living with HIV (PLWH) with type 2 diabetes mellitus (DM) there is limited research on the effect of DM control on CD4 count. Current guidelines recommend that PLWH with DM maintain a hemoglobin A1c (HbA1c) Methods We used data from the DC Cohort, a longitudinal observational cohort of patients receiving HIV care at 14 clinics between 2011–2018. Participants with DM on an ongoing antiretroviral regimen with ≥1 year of follow-up, ≥2 HbA1c results, and ≥2 CD4 count results were included. Participants were compared based on the most recent HbA1c result categorized into one of three control levels control: strict, HbA1c < 7.5%; moderate, HbA1c between 7.5–9.0%; and uncontrolled, HbA1c >9.0%. All statistical tests were performed within the framework of the linear mixed-effects (LME) model. The rates of increase in CD4 count by DM control were compared using an LME model with random slopes and random intercepts, adjusted for sex, BMI, nadir CD4, a history of AIDS, or cancer diagnosis. Results Among 554 participants (median age 53.5; 70.8% male; 82.7% Black), there were 5,138 total CD4 count measurements. In unadjusted analysis, participants with moderate or uncontrolled HbA1c had higher mean CD4 counts over the follow-up period than those with strict HbA1c control (strict: 690 cells/μL, moderate: 712 cells/μL uncontrolled: 711 cells/μL; P = 0.0156 strict vs. moderate, 0.049 strict vs. uncontrolled). All DM control groups had a similar temporal increase over time in CD4 count (P = 0.46). In multivariate analysis, only moderate vs. strict control showed a significant difference in CD4 count (mean difference=18.1; P = 0.02). Results showed CD4 count change was not affected by the duration of HIV diagnosis or diabetes diagnosis. See Table 1 for additional results. Conclusion PLWH and DM with moderate HbA1c control had higher CD4 counts than those with strict HbA1c control and similar CD4 counts compared with those with uncontrolled HbA1c levels, while the rate of increase in CD4 count was similar in the three groups. These results show that moderate DM control may benefit CD4 count, which should be considered when revising DM control guidelines for PLWH. Disclosures All authors: No reported disclosures.

Background In 2019, the US Administration announced the Ending the HIV Epidemic plan to decrease new infections. A key component is the Test and Treat plan to diagnose early, treat rapidly and achieve viral suppression (VS) among persons living with HIV (PLWH). We assessed retention in care (RIC), antiretroviral therapy (ART) initiation and VS among newly diagnosed PLWH in Washington, DC. Methods We conducted a cross-sectional analysis using data from the DC Cohort, an observational longitudinal cohort of PLWH in care in 14 clinics in DC. We included participants enrolled from 2011 to 2016 whose HIV diagnosis was within 1 year of enrollment and with at least 12 months follow-up. RIC was defined as ≥2 visits or HIV lab results 90 days apart in the first year of follow-up. ART initiation was defined as being prescribed ART, VS was defined as HIV RNA Results Among the 455 newly diagnosed participants (6% of all enrollees), median age was 33 years (IQR 25, 45), 69% were Black, 79% male, 60% MSM. Median duration of HIV at enrollment was 4.9 months (IQR 2.3, 7.7). Median nadir CD4 count was 346 cells/μL (IQR 224, 494). Of the 455, 38% had a history of AIDS, 92% were RIC, 65% initiated ART by 3 months and 17% had VS by 3 months. There were no differences by sex or race for RIC, ART initiation and VS. An AIDS diagnosis at enrollment was associated with RIC (aOR 2.28; 1.01–5.15), ART initiation by 3 months (aOR 2.41; 1.54–3.76), and VS by 12 months (aOR 1.92; 1.06–3.46). Lower nadir CD4 (aOR 0.89 per 50 cell increase; 0.84–0.94) and younger age (aOR 0.747 per 10-year increase; 0.584–0.995) were associated with ART initiation by 12 months. Conclusion Although the majority of newly diagnosed PLWH were RIC, fewer started ART or achieved VS. With a large proportion of our sample having an AIDS diagnosis at enrollment, we illustrate the ongoing challenge of late HIV diagnosis in DC. Those with AIDS at diagnosis were more likely to initiate ART within the first 3 months. As same-day ART initiation is scaled up in DC, future research can evaluate if all PLWH, regardless of AIDS status, will achieve this milestone earlier. Disclosures All authors: No reported disclosures.

In 2006, the District of Columbia Department of Health (DC DOH) launched initiatives promoting routine HIV testing and improved linkage to care in support of revised the Centers for Disease Control and Prevention (CDC) HIV-testing guidelines. An ecological analysis was conducted using population-based surveillance data to determine whether these efforts were temporally associated with increased and earlier identification of HIV/AIDS cases and improved linkages to care. Publically funded HIV-testing data and HIV/AIDS surveillance data from 2005 to 2009 were used to measure the number of persons tested, new diagnoses, timing of entry into care, CD4 at diagnosis and rates of progression to AIDS. Tests for trend were used to determine whether statistically significant changes in these indicators were observed over the five-year period. Results indicated that from 2005 to 2009, publically funded testing increased 4.5-fold; the number of newly diagnosed HIV/AIDS cases remained relatively constant. Statistically significant increases in the proportion of cases entering care within three months of diagnosis were observed (p < 0.0001). Median CD4 counts at diagnosis increased over the five-year time period from 346 to 379 cells/µL. The proportion of cases progressing from HIV to AIDS and diagnosed with AIDS initially, decreased significantly (both p < 0.0001). Routine HIV testing and linkage to care efforts in the District of Columbia were temporally associated with earlier diagnoses of cases, more timely entry into HIV-specialized care, and a slowing of HIV disease progression. The continued use of surveillance data to measure the community-level impact of other programmatic initiatives including test and treat strategies will be critical in monitoring the response to the District's HIV epidemic.