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Background: For decades, non–Hodgkin lymphoma (NHL) incidence has been increasing worldwide. NHL risk is strongly increased among HIV-infected people. Our understanding of trends in NHL incidence has been hampered by difficulties in separating HIV-infected NHL cases from general population rates.Methods: NHL incidence data during 1992–2009 were derived from 10 U.S. SEER cancer registries with information on HIV status at NHL diagnosis. The CDC estimated the number of people living with HIV in the registry areas. The proportion of NHL cases with HIV and NHL rates in the total and the HIV-uninfected populations were estimated. Time trends were assessed with Joinpoint analyses.Results: Of 115,643 NHL cases diagnosed during 1992–2009, 5.9% were HIV-infected. The proportions of NHL cases with HIV were highest for diffuse large B-cell (DLBCL; 7.8%), Burkitt (26.9%), and peripheral T-cell lymphomas (3.2%) with low proportions (≤1.1%) in the other subtypes. NHL rates in the total population increased 0.3% per year during 1992–2009. However, rates of NHL in HIV-uninfected people increased 1.4% per year during 1992–2003, before becoming stable through 2009. Similar trends were observed for DLBCLs and follicular lymphoma in HIV-uninfected people; rates increased 2.7% per year until 2003 and 1.7% per year until 2005, respectively, before stabilizing.Conclusions: NHL incidence rates in the United States have plateaued over the last 5–10 years, independent of HIV infection.Impact: Although the causes of the long-term increase in NHL incidence rates in the United States remain unknown, general population rates of NHL have stabilized since the early 2000s, independent of HIV. Cancer Epidemiol Biomarkers Prev; 22(6); 1069–78. ©2013 AACR.

Supplementary Table - PDF file 46K, NHL rates excluding persons with HIV with 1) the SEER population as the denominator; 2) the SEER population excluding persons with AIDS as the denominator; and 3) the SEER population excluding persons with HIV as the denominator, 2006-2009.

Background Uptake of HIV pre-exposure prophylaxis (PrEP) has been increasing in the United States since its FDA approval in 2012; however, the COVID-19 pandemic may have affected this trend. Our objective was to assess the impact of COVID-19 on PrEP prescriptions in the United States. Methods We analyzed data from a national pharmacy database from January 2017 through March 2021 to fit an interrupted time-series model that predicted PrEP prescriptions and new PrEP users had the pandemic not occurred. Observed PrEP prescriptions and new users were compared with those predicted by the model. Main outcomes were weekly numbers of PrEP prescriptions and new PrEP users based on a previously developed algorithm. The impact of the COVID-19 pandemic was quantified by computing rate ratios and percentage decreases between the observed and predicted counts during 15/3/2020–31/3/2021. Results In the absence of the pandemic, our model predicted that there would have been 1 058 162 PrEP prescriptions during 15/3/2020–31/3/2021. We observed 825 239 PrEP prescriptions, a 22.0% reduction (95% CI: 19.1–24.8%) after the emergency declaration. The model predicted 167 720 new PrEP users during the same period; we observed 125 793 new PrEP users, a 25.0% reduction (95% CI: 20.9–28.9%). The COVID-19 impact was greater among younger persons and those with commercial insurance. The impact of the pandemic varied markedly across states. Conclusions The COVID-19 pandemic disrupted an increasing trend in PrEP prescriptions in the United States, highlighting the need for innovative interventions to maintain access to HIV-prevention services during similar emergencies.

Background Understanding advances in the care and treatment of adults with HIV as well as remaining gaps requires comparing differences in mortality between persons entering care for HIV and the general population. Objective To assess the extent to which mortality among persons entering HIV care in the United States is elevated over mortality among matched persons in the general U.S. population and trends in this difference over time. Design Observational cohort study. Setting Thirteen sites from the U.S. North American AIDS Cohort Collaboration on Research and Design. Participants 82 766 adults entering HIV clinical care between 1999 and 2017 and a subset of the U.S. population matched on calendar time, age, sex, race/ethnicity, and county using U.S. mortality and population data compiled by the National Center for Health Statistics. Measurements Five-year all-cause mortality, estimated using the Kaplan-Meier estimator of the survival function. Results Overall 5-year mortality among persons entering HIV care was 10.6%, and mortality among the matched U.S. population was 2.9%, for a difference of 7.7 (95% CI, 7.4 to 7.9) percentage points. This difference decreased over time, from 11.1 percentage points among those entering care between 1999 and 2004 to 2.7 percentage points among those entering care between 2011 and 2017. Limitation Matching on available covariates may have failed to account for differences in mortality that were due to sociodemographic factors rather than consequences of HIV infection and other modifiable factors. Conclusion Mortality among persons entering HIV care decreased dramatically between 1999 and 2017, although those entering care remained at modestly higher risk for death in the years after starting care than comparable persons in the general U.S. population. Primary funding source National Institutes of Health.

Background: The introduction of combination antiretroviral therapy (cART) has led to a significant reduction in Kaposi sarcoma (KS) incidence among people with HIV (PWH). However, it is unclear if incidence has declined similarly across key demographic and HIV transmission groups and the annual number of incident and prevalent KS cases remains unquantified. Methods: Using population-based registry linkage data, we evaluated temporal trends in KS incidence using adjusted Poisson regression. Incidence and prevalence estimates were applied to CDC HIV surveillance data, to obtain the number of incident (2008–2015) and prevalent (2015) cases in the United States. Results: Among PWH, KS rates were elevated 521-fold [95% confidence intervals (CI), 498–536] compared with the general population and declined from 109 per 100,000 person-years in 2000 to 47 per 100,000 person-years in 2015, at an annual percentage change of −6%. Rates declined substantially (Ptrend < 0.005) across all demographic and HIV transmission groups. Of the 5,306 new cases estimated between 2008 and 2015, 89% occurred among men who have sex with men. At the end of 2015, 1,904 PWH (0.20%) had been diagnosed with KS in the previous 5 years. Conclusions: A consistent gradual decline in KS incidence has occurred among PWH in the United States during the current cART era. This decrease is uniform across key demographic and HIV transmission groups, though rates remain elevated relative to the general population. Impact: Continued efforts to control HIV through early cART initiation and retention in care need to be maintained and possibly expanded to sustain declines.

To assess disruption in healthcare services for HIV treatment by national emergency in response to the coronavirus disease 2019 (COVID-19) pandemic in the United States.Time-series analysis.We analyzed the IQVIA Real World Data-Longitudinal Prescriptions Database and calculated time trends in the weekly number of persons with active antiretroviral prescriptions for HIV treatment, and of persons who obtained antiretroviral prescriptions during January 2017-March 2021. We used interrupted time-series models to estimate the impact of the COVID-19 pandemic on antiretroviral therapy (ART) use between March 2020 and March 2021.We found that the weekly number of persons with active antiretroviral prescriptions decreased by an average 2.5% (95% confidence interval [CI]: -3.8% to -1.1%), compared to predicted use, during March 2020 through March 2021. The weekly number of persons who obtained antiretroviral prescriptions decreased 4.5% (95% CI: -6.0% to -3.0%), compared to the predicted number. Men, persons aged ≤34 years, privately insured persons, and persons in medication assistance programs had greater decreases than other groups.We demonstrated a decrease in the number of persons with active antiretroviral prescriptions during the first year of the COVID-19 pandemic and the number did not return to levels expected in the absence of the pandemic. Disruptions in HIV care and decreased ART may lead to lower levels of viral suppression and immunologic control, and increased HIV transmission in the community.

Background Recent studies have suggested that Kaposi sarcoma (KS) rates might be increasing in some racial/ethnic groups, age groups, and US regions. We estimated recent US trends in KS incidence among people living with human immunodeficiency virus (HIV; PLWH). Methods Incident KS patients aged 20–59 years were obtained from 36 cancer registries and assumed to be living with HIV. The number of PLWH was obtained from national HIV surveillance data from 2008 to 2016. Age-standardized KS rates and annual percent changes (APCs) in rates were estimated by age, sex, race/ethnicity, state, and region. Results Between 2008 and 2016, the age-adjusted KS rate among PLWH was 116/100 000. Rates were higher among males, in younger age groups, and among white PLWH. Washington, Maine, and California had the highest KS rates among PLWH. KS rates among PLWH decreased significantly (average APC = −3.2% per year, P Conclusions KS incidence rates among PLWH have decreased nationally between 2008 and 2016. Though there were no statistically significant increases in KS rates in any demographic or geographic group, nondecreasing/stagnant KS trends in some states and among younger and black PLWH highlight the need for early diagnosis and treatment of HIV infection.

Background Approximately 38,000 new human immunodeficiency virus (HIV) infections occur in the United States each year; these infections can be prevented. A proposed national initiative, Ending the HIV Epidemic: A Plan for America, incorporates three strategies (diagnose, treat, and prevent HIV infection) and seeks to leverage testing, treatment, and preexposure prophylaxis (PrEP) to reduce new HIV infections in the United States by at least 90% by 2030. Targets to reach this goal include that at least 95% of persons with HIV receive a diagnosis, 95% of persons with diagnosed HIV infection have a suppressed viral load, and 50% of those at increased risk for acquiring HIV are prescribed PrEP. Using surveillance, pharmacy, and other data, CDC determined the current status of these three initiative strategies. Methods CDC analyzed HIV surveillance data to estimate annual number of new HIV infections (2013-2017); estimate the percentage of infections that were diagnosed (2017); and determine the percentage of persons with diagnosed HIV infection with viral load suppression (2017). CDC analyzed surveillance, pharmacy, and other data to estimate PrEP coverage, reported as a percentage and calculated as the number of persons who were prescribed PrEP divided by the estimated number of persons with indications for PrEP. Results The number of new HIV infections remained stable from 2013 (38,500) to 2017 (37,500) (p = 0.448). In 2017, an estimated 85.8% of infections were diagnosed. Among 854,206 persons with diagnosed HIV infection in 42 jurisdictions with complete reporting of laboratory data, 62.7% had a suppressed viral load. Among an estimated 1.2 million persons with indications for use of PrEP, 18.1% had been prescribed PrEP in 2018. Conclusion Accelerated efforts to diagnose, treat, and prevent HIV infection are needed to achieve the U.S. goal of at least 90% reduction in the number of new HIV infections by 2030.

BACKGROUND Men who have sex with men (MSM) accounted for two thirds of new HIV infections in the United States in 2019 despite representing approximately 2% of the adult population. METHODS CDC analyzed surveillance data to determine trends in estimated new HIV infections and to assess measures of undiagnosed infection and HIV prevention and treatment services including HIV testing, preexposure prophylaxis (PrEP) use, antiretroviral therapy (ART) adherence, and viral suppression, as well as HIV-related stigma. RESULTS The estimated number of new HIV infections among MSM was 25,100 in 2010 and 23,100 in 2019. New infections decreased significantly among White MSM but did not decrease among Black or African American (Black) MSM and Hispanic/Latino MSM. New infections increased among MSM aged 25-34 years. During 2019, approximately 83% of Black MSM and 80% of Hispanic/Latino MSM compared with 90% of White MSM with HIV had received an HIV diagnosis. The lowest percentage of diagnosed infection was among MSM aged 13-24 years (55%). Among MSM with a likely PrEP indication, discussions about PrEP with a provider and PrEP use were lower among Black MSM (47% and 27%, respectively) and Hispanic/Latino MSM (45% and 31%) than among White MSM (59% and 42%). Among MSM with an HIV diagnosis, adherence to ART and viral suppression were lower among Black MSM (48% and 62%, respectively) and Hispanic/Latino MSM (59% and 67%) compared with White MSM (64% and 74%). Experiences of HIV-related stigma among those with an HIV diagnosis were higher among Black MSM (median = 33; scale = 0-100) and Hispanic/Latino MSM (32) compared with White MSM (26). MSM aged 18-24 years had the lowest adherence to ART (45%) and the highest median stigma score (39). CONCLUSION Improving access to and use of HIV services for MSM, especially Black MSM, Hispanic/Latino MSM, and younger MSM, and addressing social determinants of health, such as HIV-related stigma, that contribute to unequal outcomes will be essential to end the HIV epidemic in the United States.

OBJECTIVE To examine changes in the lengths of time from HIV infection to diagnosis (Infx-to-Dx) and from diagnosis to first viral suppression (Dx-to-VS), two periods during which HIV can be transmitted. DESIGN Data from the National HIV Surveillance System (NHSS) for persons who were aged at least 13 years at the time of HIV diagnosis during 2014-2018 and resided in one of 33 United States jurisdictions with complete laboratory reporting. METHODS The date of HIV infection was estimated based on a CD4+-depletion model. Date of HIV diagnosis, and dates and results of first CD4+ test and first viral suppression (

Purpose Estimates of HIV prevalence, and how it changes over time, are needed to inform action (e.g., resource allocation) to improve HIV-related public health. However, creating adequate estimates of (diagnosed and undiagnosed) HIV prevalence is challenging due to biases in samples receiving HIV testing and due to difficulties enumerating key risk populations. To our knowledge, estimates of HIV prevalence among high risk heterosexuals in the United States produced for geographic areas smaller than the entire nation have to date been only for single years and/or for single cities (or other single geographic locations). Methods The present study addresses these gaps by using multilevel modeling on multiple data series, in combination with previous estimates of HIV prevalence among heterosexuals from the extant literature, to produce annual estimates of HIV prevalence among high risk heterosexuals for each of 89 metropolitan statistical areas, from 1992 to 2013. It also produces estimates for these MSAs and years by racial/ethnic subgroup to allow for an examination of change over time in racial/ethnic disparities in HIV prevalence among high risk heterosexuals. Results The resulting estimates suggest that HIV prevalence among high risk heterosexuals has decreased steadily, on average, from 1992 to 2013. Examination of these estimates by racial/ ethnic subgroup suggests that this trend is primarily due to decreases among Black and Hispanic/Latino high risk heterosexuals. HIV prevalence among white high risk heterosexuals remained steady over time at around 1% during the study period. Although HIV prevalence among Black and Hispanic/Latino high risk heterosexuals was much higher (approximately 3.5% and 3.3%, respectively) than that among whites in 1992, over time these differences decreased as HIV prevalence decreased over time among these subgroups. By 2013, HIV prevalence among Hispanic/Latino high risk heterosexuals was estimated to be very similar to that among white high risk heterosexuals (approximately 1%), with prevalence among Black high risk heterosexuals still estimated to be almost twice as high. Conclusions It is likely that as HIV incidence has decreased among heterosexuals from 1992 to 2013, mortality due to all causes has remained disparately high among racial/ethnic minorities, thereby outpacing new HIV cases. Future research should aim to empirically examine this by comparing changes over time in estimated HIV incidence among heterosexuals to changes over time in mortality and causes of death among HIV-positive heterosexuals, by racial/ethnic subgroup.

The first cases of Pneumocystis carinii (jirovecii) pneumonia among young men, which were subsequently linked to HIV infection, were reported in the MMWR on June 5, 1981 (1). At year-end 2019, an estimated 1.2 million persons in the United States were living with HIV infection (2). Using data reported to the National HIV Surveillance System, CDC estimated the annual number of new HIV infections (incidence) among persons aged ≥13 years in the United States during 1981-2019. Estimated annual HIV incidence increased from 20,000 infections in 1981 to a peak of 130,400 infections in 1984 and 1985. Incidence was relatively stable during 1991-2007, with approximately 50,000-58,000 infections annually, and then decreased in recent years to 34,800 infections in 2019. The majority of infections continue to be attributable to male-to-male sexual contact (63% in 1981 and 66% in 2019). Over time, the proportion of HIV infections has increased among Black/African American (Black) persons (from 29% in 1981 to 41% in 2019) and among Hispanic/Latino persons (from 16% in 1981 to 29% in 2019). Despite the lack of a cure or a vaccine, today's HIV prevention tools, including HIV testing, prompt and sustained treatment, preexposure prophylaxis, and comprehensive syringe service programs, provide an opportunity to substantially decrease new HIV infections. Intensifying efforts to implement these strategies equitably could accelerate declines in HIV transmission, morbidity, and mortality and reduce disparities.

PURPOSE OF REVIEW: To summarize recent trends in knowledge of HIV status, care and viral suppression, and the status of implementation of relevant contextual requirements for the United States to achieve the 90-90-90 goals. Recently, the US government announced a plan to decrease HIV incidence by over 90% by 2030. Reaching this goal may require higher targets than 90-90-90. RECENT FINDINGS: The United States is on course to reach 90-90-90 goals in the near future, with 86% of persons with HIV aware of their infection, 74% of persons with diagnosed infection in care, and 83% of persons in care with viral suppression in 2016. Some high-burden subnational jurisdictions have already achieved these goals. SUMMARY: The United States is likely to reach 90-90-90 targets in the near future. However, to reduce HIV incidence by at least 90% by 2030, the United States will need to rapidly meet the new 95-95-95 targets and deploy a comprehensive strategy with novel approaches to testing, retaining persons with HIV on treatment, and preventing new infections with preexposure prophylaxis and comprehensive syringe services programs.

Objective Build a dynamic model system to assess the effects of HIV intervention and prevention strategies on future annual numbers of new HIV infections, newly diagnosed cases of HIV infection, and deaths among persons infected with HIV. Design and setting Model parameters are defined to quantify the putative effects of HIV prevention strategies that would increase HIV testing, thereby diagnosing infection earlier; increase linkage to care and viral suppression, thereby reducing infectiousness; and increase the use of preexposure prophylaxis, thereby protecting persons at risk of infection. Surveillance data are used to determine the initial values of the model system's variables and parameters, and the impact on the future course of various outcome measures of achieving either specified target values or specified rates of change for the model parameters is examined. Participants A hypothetical population of persons with HIV infection and persons at risk of acquiring HIV infection. Main outcome measures HIV incidence, HIV prevalence, proportion of persons infected with HIV whose infection is diagnosed, and proportion of persons with diagnosed HIV infection who are virally suppressed. Results A model system based on the basic year-to-year algebraic relationships among the model variables and relying almost exclusively on HIV surveillance data was developed to project the course of HIV disease over a specified time period. Based on the most recent HIV surveillance data in the United States-which show a relatively high proportion of infections having been diagnosed but a relatively low proportion of diagnosed persons being virally suppressed-increasing the proportion of diagnosed persons who are virally suppressed and increasing preexposure prophylaxis use appear to be the most effective ways of reducing new HIV infections and accomplishing national HIV prevention and care goals. Conclusions Both having current and accurate information regarding the epidemiologic dynamics of HIV infection and knowing the potential impact of prevention strategies are critical in order for limited HIV prevention resources to be optimally allocated.

Background In 2016, an estimated 1.1 million persons had human immunodeficiency virus (HIV) infection in the United States; 38,700 were new infections. Knowledge of HIV infection status, behavior change, and antiretroviral therapy (ART) all prevent HIV transmission. Persons who achieve and maintain viral suppression (achieved by most persons within 6 months of starting ART) can live long, healthy lives and pose effectively no risk of HIV transmission to their sexual partners. Methods A model was used to estimate transmission rates in 2016 along the HIV continuum of care. Data for sexual and needle-sharing behaviors were obtained from National HIV Behavioral Surveillance. Estimated HIV prevalence, incidence, receipt of care, and viral suppression were obtained from National HIV Surveillance System data. Results Overall, the HIV transmission rate was 3.5 per 100 person-years in 2016. Along the HIV continuum of care, the transmission rates from persons who were 1) acutely infected and unaware of their infection, 2) non-acutely infected and unaware, 3) aware of HIV infection but not in care, 4) receiving HIV care but not virally suppressed, and 5) taking ART and virally suppressed were 16.1, 8.4, 6.6, 6.1, and 0 per 100 person-years, respectively. The percentages of all transmissions generated by each group were 4.0%, 33.6%, 42.6%, 19.8%, and 0%, respectively. Conclusion Approximately 80% of new HIV transmissions are from persons who do not know they have HIV infection or are not receiving regular care. Going forward, increasing the percentage of persons with HIV infection who have achieved viral suppression and do not transmit HIV will be critical for ending the HIV epidemic in the United States.

Background:Calculating national rates of HIV diagnosis, incidence, and prevalence can quantify disease burden, and is important for planning and evaluating programs. We calculated HIV rates among MSM, persons who inject drugs (PWID), and heterosexuals in 2010 and 2015.Methods:We used proportion esti

Background Results from the HPTN 065 study showed that financial incentives (FI) were associated with significantly higher viral load suppression and higher levels of engagement in care among patients at HIV care sites randomized to FI versus sites randomized to standard of care (SOC). We assessed HIV viral suppression and continuity in care after intervention withdrawal to determine the durability of FI on these outcomes. Setting A total of 37 HIV test and 39 HIV care sites in the Bronx, New York, and Washington, DC, participated in the study. Methods Laboratory data reported to the US National HIV Surveillance System were used to determine site-level viral suppression and continuity in care outcomes. Postintervention effects were assessed for the 3 quarters after discontinuation of FI. Generalized estimation equations were used to compare FI and SOC site-level outcomes after intervention withdrawal. Results After FI withdrawal, a trend remained for an increase in viral suppression by 2.7% (-0.3%, 5.6%, P = 0.076) at FI versus SOC sites, decreasing from the 3.8% increase noted during implementation of the intervention. The significant increase in continuity in care during the FI intervention was sustained after intervention with 7.5% (P = 0.007) higher continuity in care at FI versus SOC sites. Conclusions After the withdrawal of FI, findings at the 9-months postintervention withdrawal from this large study showed evidence of durable effects of FI on continuity in care, with trend for continued higher viral suppression. These findings are promising for adoption of such interventions to enhance key HIV-related care outcomes.

Background: Although antiretroviral therapy (ART) is known to be protective against HIV-related mortality, the expected magnitude of effect is unclear because existing estimates of the effect of ART may not directly generalize to recently HIV-diagnosed persons.

BACKGROUND Life expectancy for persons with human immunodeficiency virus (HIV) infection who receive recommended treatment can approach that of the general population, yet HIV remains among the 10 leading causes of death among certain populations. Using surveillance data, CDC assessed progress toward reducing deaths among persons with diagnosed HIV (PWDH). METHODS CDC analyzed National HIV Surveillance System data for persons aged ≥13 years to determine age-adjusted death rates per 1,000 PWDH during 2010-2018. Using the International Classification of Diseases, Tenth Revision, deaths with a nonmissing underlying cause were classified as HIV-related or non-HIV-related. Temporal changes in total deaths during 2010-2018 and deaths by cause during 2010-2017 (2018 excluded because of delays in reporting), by demographic characteristics, transmission category, and U.S. Census region of residence at time of death were calculated. RESULTS During 2010-2018, rates of death decreased by 36.6% overall (from 19.4 to 12.3 per 1,000 PWDH). During 2010-2017, HIV-related death rates decreased 48.4% (from 9.1 to 4.7), whereas non-HIV-related death rates decreased 8.6% (from 9.3 to 8.5). Rates of HIV-related deaths during 2017 were highest by race/ethnicity among persons of multiple races (7.0) and Black/African American persons (5.6), followed by White persons (3.9) and Hispanic/Latino persons (3.9). The HIV-related death rate was highest in the South (6.0) and lowest in the Northeast (3.2). CONCLUSION Early diagnosis, prompt treatment, and maintaining access to high-quality care and treatment have been successful in reducing HIV-related deaths and remain necessary for continuing reductions in HIV-related deaths.

Objective Although some studies have reported a higher incidence of HIV infection among non–US-born people than among US-born people, national data on this topic are scarce. We compared the epidemiology of HIV infection between US-born and non–US-born residents of the United States and examined the characteristics of non–US-born people with diagnosed HIV infection by region of birth (ROB). Methods We used a cross-sectional study design to produce national, population-based data describing HIV infection among US-born and non–US-born people. We analyzed National HIV Surveillance System data for people with HIV infection diagnosed during 2010-2017 and reported to the Centers for Disease Control and Prevention (CDC). We compared data on demographic characteristics, transmission risk category, and stage 3 infection (AIDS) classification within 3 months of HIV diagnosis, by nativity and ROB. Results During 2010-2017, 328 317 children and adult US residents were diagnosed with HIV infection and were reported to CDC: 214 973 (65.5%) were US-born, 50 301 (15.3%) were non–US-born, and 63 043 (19.2%) were missing data on country of birth. After adjusting for missing country of birth, 266 147 (81.1%) people were US-born and 62 170 (18.9%) were non–US-born. This group accounted for 15 928 of 65 645 (24.2%) HIV diagnoses among girls and women and 46 242 of 262 672 (17.6%) HIV diagnoses among boys and men. A larger percentage of non–US-born people than US-born people had stage 3 infection (AIDS) at HIV diagnosis (31.2% vs 23.9%). Among non–US-born people with HIV diagnoses, 19 876 (39.5%) resided in the South. Conclusions Characterizing non–US-born people with HIV infection is essential for developing effective HIV interventions, particularly in areas with large immigrant populations.

BACKGROUND: Since 2012, treatment guidelines have recommended initiating antiretroviral therapy for all persons as soon as possible after HIV diagnosis, irrespective of CD4 counts. If clinicians adopted the treatment guidelines, a shortened interval between diagnosis and first viral suppression (Dx-to-VS) would be expected, with greater declines among those with CD4 counts ≥500 cells/μL at diagnosis. METHODS: Using the National HIV Surveillance System data, we examined Dx-to-VS intervals among persons aged ≥13 years with HIV infection diagnosed during 2012–2017. Analyses were stratified by the first CD4 count: CD4 ≥500 cells/μL, 200–499 cells/μL

Background Evaluation of the time from HIV diagnosis to viral suppression (VS) captures the collective effectiveness of HIV prevention and treatment activities in a given locale and provides a more global estimate of how effectively the larger HIV care system is working in a given geographic area or jurisdiction. Objective This study aimed to evaluate temporal and geographic variability in VS among persons with newly diagnosed HIV infection in Alabama between 2012 and 2014. Methods With data from the National HIV Surveillance System, we evaluated median time from HIV diagnosis to VS ( Results Among 1979 newly diagnosed persons, 1181 (59.67%) achieved VS within 12 months of diagnosis; 52.6% (353/671) in 2012, 59.5% (377/634) in 2013, and 66.9% (451/674) in 2014. Median time from HIV diagnosis to VS was 8 months: 10 months in 2012, 8 months in 2013, and 6 months in 2014. Across 11 PHAs in Alabama, 12-month VS ranged from 45.8% (130/284) to 84% (26/31), and median time from diagnosis to VS ranged from 5 to 13 months. Conclusions Temporal improvement in persons achieving VS following HIV diagnosis statewide in Alabama is encouraging. However, considerable geographic variability warrants further evaluation to inform public health action. Time from HIV diagnosis to VS represents a meaningful indicator that can be incorporated into public health surveillance and programming.

The challenges of producing adequate estimates of HIV prevalence among men who have sex with men (MSM) are well known. Among them are accurately estimating MSM population size and obtaining HIV testing data from unbiased samples. Previous research has produced rigorous estimates of HIV prevalence among MSM in specific geographic locations (e.g., large cities with large populations of MSM), or for a broader range of locations, but only over a relatively short period of time (e.g., one year). No one, to our knowledge, has published annual estimates of HIV prevalence among MSM over an extended period of time and across a wide range of geographic areas. This is an important gap in the literature, given that this information is needed to identify multi-level predictors of change over time in HIV prevalence among MSM and to help target resources to high-need areas - a national priority. This paper integrates data from numerous sources: Centers for Disease Control and Prevention’s (CDC) National HIV Surveillance System and National HIV Prevention Monitoring and Evaluation data; estimates of 1992 MSM population size and HIV prevalence and incidence among MSM by Holmberg, 1997; and estimates of HIV among MSM from published literature using 1992–2013 data. It applies multilevel modeling to these data to estimate and validate trajectories of HIV prevalence among MSM from 1992–2013 for 86 of the largest metropolitan statistical areas (MSAs) in the United States. Our estimates indicate that, consistently, HIV prevalence among MSM increased during this time period in each MSA, from an across-MSA mean of 11% in 1992 to 20% in 2013 (with slightly smaller increases among MSAs with the initially-largest HIV burden among MSM; S.D. across all years = 3.5%). Our estimates by racial/ethnic subgroups of MSM suggest higher mean HIV prevalence among minority (Black and Hispanic/Latino) MSM than among white MSM across all years and geographic regions. The consistent increases found in HIV prevalence among all MSM are likely primarily attributable to decreases in mortality among HIV-positive MSM, and are likely secondarily attributable to increasing HIV incidence among racial/ethnic minority subpopulations of MSM. Future research is needed to confirm that these are in fact the factors driving the increases in HIV prevalence observed in our estimates. If so, without detracting from HIV prevention efforts targeting MSM, new healthcare initiatives may be needed which focus on targeted HIV prevention efforts among racial/ethnic minority MSM and on training healthcare providers to address cross-cutting health challenges of increased longevity among HIV-positive MSM populations.

Social science and public health literature has framed residential segregation as a potent structural determinant of the higher HIV burden among black heterosexuals, but empirical evidence has been limited. The purpose of this study is to test, for the first time, the association between racial segregation and newly diagnosed heterosexually acquired HIV cases among black adults and adolescents in 95 large US metropolitan statistical areas (MSAs) in 2008–2015. We operationalized racial segregation (the main exposure) using Massey and Denton’s isolation index for black residents; the outcome was the rate of newly diagnosed HIV cases per 10,000 black adult heterosexuals. We tested the relationship of segregation to this outcome using multilevel multivariate models of longitudinal (2008–2015) MSA-level data, controlling for potential confounders and time. All covariates were lagged by 1 year and centered on baseline values. We preliminarily explored mediation of the focal relationship by inequalities in education, employment, and poverty rates. Segregation was positively associated with the outcome: a one standard deviation decrease in baseline isolation was associated with a 16.2% reduction in the rate of new HIV diagnoses; one standard deviation reduction in isolation over time was associated with 4.6% decrease in the outcome. Exploratory mediation analyses suggest that black/white socioeconomic inequality may mediate the relationship between segregation and HIV. Our study suggests that residential segregation may be a distal determinant of HIV among black heterosexuals. The findings further emphasize the need to address segregation as part of a comprehensive strategy to reduce racial inequities in HIV. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11524-018-0303-1) contains supplementary material, which is available to authorized users.

Accurate interpretations and comparisons of record linkage results across jurisdictions require valid and reliable matching methods. We compared existing matching methods used by 6 US state and local health departments (Houston, Texas; Louisiana; Michigan; New York, New York; North Dakota; and Wisconsin) to link human immunodeficiency virus and viral hepatitis surveillance data with a 14-key automated, hierarchical deterministic matching method. Applicable years of study varied by disease and jurisdiction, ranging from 1979 to 2016. We calculated percentage agreement and Cohen's κ coefficient to compare the matching methods used within each jurisdiction. We calculated sensitivity, specificity, and positive predictive value for each matching method, as compared with a new standard that included manual review of discrepant cases. Agreement between the existing matching method and the deterministic matching method was 99.6% or higher in all jurisdictions; Cohen's κ values ranged from 0.87 to 0.98. The sensitivity of the deterministic matching method ranged from 97.4% to 100% in the 6 jurisdictions; specificity ranged from 99.7% to 100%; and positive predictive value ranged from 97.4% to 100%. Although no gold standard exists, prior assessments of existing methods and review of discrepant classifications suggest good accuracy and reliability of our deterministic matching method, with the advantage that our method reduces the need for manual review and allows for standard comparisons across jurisdictions when linking human immunodeficiency virus and viral hepatitis data.

Objective To explore the effectiveness of raltegravir-based antiretroviral therapy (ART) on treatment response among ART-naive patients seeking routine clinical care. Design Cohort study of adults enrolled in HIV care in the United States. Methods We compared virologic suppression and CD4 cell count recovery over a 2.5 year period after initiation of an ART regimen containing raltegravir or efavirenz using observational data from a US clinical cohort, generalized to the US population of people with diagnosed HIV. We accounted for nonrandom treatment assignment, informative censoring, and nonrandom selection from the US target population using inverse probability weights. Results Of the 2843 patients included in the study, 2476 initiated the efavirenz-containing regimen and 367 initiated the raltegravir-containing regimen. In the weighted intent-to-treat analysis, patients spent an average of 74 (95% confidence interval: 41, 106) additional days alive with a suppressed viral load on the raltegravir regimen than on the efavirenz regimen over the 2.5-year study period. CD4 cell count recovery was also superior under the raltegravir regimen. Conclusion Patients receiving raltegravir spent more time alive and suppressed than patients receiving efavirenz, but the probability of viral suppression by 2.5 years after treatment was similar between groups. Optimizing the amount of time spent in a state of viral suppression is important to improve survival among people living with HIV and to reduce onward transmission.

Epidemic control is necessary to eliminate human immunodeficiency virus infections. We assessed epidemic control in the United States by applying 4 proposed UNAIDS metrics to national surveillance data collected between 2010 and 2015. Although epidemic control in the United States is possible, progress by UNAIDS metrics has been mixed.

Background Persons unaware of their human immunodeficiency virus (HIV) infection account for approximately 40% of ongoing transmissions in the United States. Persons are unaware of their infection because of delayed HIV diagnoses that represent substantial missed opportunities to improve health outcomes and prevent HIV transmission. Methods Data from CDC's National HIV Surveillance System were used to estimate, among persons with HIV infection diagnosed in 2015, the median interval (and range) from infection to diagnosis (diagnosis delay), based on the first CD4 test after HIV diagnosis and a CD4 depletion model indicating disease progression and, among persons living with HIV in 2015, the percentage with undiagnosed infection. Data from CDC's National HIV Behavioral Surveillance were analyzed to determine the percentage of persons at increased risk for HIV infection who had tested in the past 12 months and who had missed opportunities for testing. Results An estimated 15% of persons living with HIV in 2015 were unaware of their infection. Among the 39,720 persons with HIV infection diagnosed in 2015, the estimated median diagnosis delay was 3.0 years (interquartile range = 0.7-7.8 years); diagnosis delay varied by race/ethnicity (from 2.2 years among whites to 4.2 years among Asians) and transmission category (from 2.0 years among females who inject drugs to 4.9 years among heterosexual males). Among persons interviewed through National HIV Behavioral Surveillance, 71% of men who have sex with men, 58% of persons who inject drugs, and 41% of heterosexual persons at increased risk for HIV infection reported testing in the past 12 months. In each risk group, at least two thirds of persons who did not have an HIV test had seen a health care provider in the past year. Conclusions Delayed HIV diagnoses continue to be substantial for some population groups and prevent early entry to care to improve health outcomes and reduce HIV transmission to others. Implications for public health practice Health care providers and others providing HIV testing can reduce HIV-related adverse health outcomes and risk for HIV transmission by implementing routine and targeted HIV testing to decrease diagnosis delays.

Objective To examine changes in viral suppression status among HIV patients receiving care in 2014 and the extent of viral suppression among persons with infrequent care visits. Methods Using data reported to the National HIV Surveillance System from 33 jurisdictions with complete reporting of CD4 and viral load tests, we created four viral suppression status groups based on their first and last viral loads in 2014: both suppressed, first unsuppressed and last suppressed (improved), first suppressed and last unsuppressed (worsened), and both unsuppressed. We also calculated the number and percentage of persons whose sole viral load in 2014 was suppressed and had a suppressed viral load at their last test in 2013. Results Among 339 515 persons with at least two viral load tests in 2014, 72.6% had all viral loads suppressed (durably suppressed); 75.5% had the first and last tests suppressed, 10.5% improved, 4.2% worsened, and 9.9% had both unsuppressed. Among 92 309 persons who had only one viral load test in 2014, 69 960 (75.8%) were suppressed and, of those, 53 834 (76.9%) also had a suppressed viral load at their last test in 2013. Conclusion National surveillance data show that the majority of patients in HIV care during 2014 were durably suppressed. More showed improved compared with worsened viral suppression status. Some patients who have less frequent care visits have sustained viral suppression. Yet one in 10 who was in regular care did not have a suppressed viral load in 2014, indicating missed opportunities for clinical interventions to help patients achieve and sustain viral suppression.

Achieving viral suppression among HIV-positive persons is a critical component of HIV treatment and prevention, because it leads to improved health outcomes for the individual and reduced risk of HIV transmission. There is wide variation in viral suppression across jurisdictions, races/ethnicities, age groups, and transmission risk groups. This analysis uses HIV surveillance data to examine rates of viral suppression among people living with diagnosed HIV (PLWDH) in 38 jurisdictions with complete lab reporting. Among people who received a diagnosis in 2014, the percentage with viral suppression within 12 months of diagnosis and the average time to viral suppression was assessed. Overall, among PLWDH in 2014, 57.9% were virally suppressed, and, among people with HIV diagnosed in 2014, 68.2% were suppressed within 12 months of diagnosis with an average time to suppression of 6.9 months. All outcomes varied by jurisdiction, but most had similar patterns of disparities with a few exceptions. These data highlight the need for tailored interventions at the local level. In addition, jurisdictions with relatively low viral suppression among particular groups could adapt effective interventions from jurisdictions who have higher rates of suppression.

BACKGROUND Understanding the flow of patients through the continuum of HIV care is critical to determine how best to intervene so that the proportion of HIV-infected persons who are on antiretroviral treatment and virally suppressed is as large as possible. METHODS Using immunological and virological data from the Centers for Disease Control and Prevention and the North American AIDS Cohort Collaboration on Research and Design from 2009 to 2012, we estimated the distribution of time spent in and dropout probability from each stage in the continuum of HIV care. We used these estimates to develop a queueing model for the expected number of patients found in each stage of the cascade. RESULTS HIV-infected individuals spend an average of about 3.1 months after HIV diagnosis before being linked to care, or dropping out of that stage of the continuum with a probability of 8%. Those who link to care wait an additional 3.7 months on average before getting their second set of laboratory results (indicating engagement in care) or dropping out of care with probability of almost 6%. Those engaged in care spent an average of almost 1 year before achieving viral suppression on antiretroviral therapy or dropping out with average probability 13%. For patients who achieved viral suppression, the average time suppressed on antiretroviral therapy was an average of 4.5 years. CONCLUSIONS Interventions should be targeted to more rapidly identifying newly infected individuals, and increasing the fraction of those engaged in care that achieves viral suppression.

The National HIV Behavioral Surveillance system was designed to monitor risk factors for HIV infection and HIV prevalence among individuals at higher risk for HIV infection, that is, sexually active men who have sex with men who attend venues, persons who recently injected drugs, and heterosexuals of low socioeconomic status living in urban areas. These groups were selected as priorities for behavioral surveillance because they represent the major HIV transmission routes and the populations with the highest HIV burden. Accurate data on the behaviors in these populations are critical for understanding trends in HIV infections and planning and evaluating effective HIV prevention activities. The articles in this supplement illustrate how National HIV Behavioral Surveillance data can be used to assess HIV risk behaviors, prevalence, and service utilization of the populations most affected by HIV in the United States and guide local and national high-impact prevention strategies to meet national HIV prevention goals.

Background/Aims HIV continues to be a major public health threat in the United States, and mathematical modeling has demonstrated that the universal effective use of antiretroviral therapy among all HIV-positive individuals (i.e. the “test and treat” approach) has the potential to control HIV. However, to accomplish this, all the steps that define the HIV care continuum must be achieved at high levels, including HIV testing and diagnosis, linkage to and retention in clinical care, antiretroviral medication initiation, and adherence to achieve and maintain viral suppression. The HPTN 065 (Test, Link-to-Care Plus Treat [TLC-Plus]) study was designed to determine the feasibility of the “test and treat” approach in the United States. Methods HPTN 065 was conducted in two intervention communities, Bronx, NY, and Washington, DC, along with four non-intervention communities, Chicago, IL; Houston, TX; Miami, FL; and Philadelphia, PA. The study consisted of five components: (1) exploring the feasibility of expanded HIV testing via social mobilization and the universal offer of testing in hospital settings, (2) evaluating the effectiveness of financial incentives to increase linkage to care, (3) evaluating the effectiveness of financial incentives to increase viral suppression, (4) evaluating the effectiveness of a computer-delivered intervention to decrease risk behavior in HIV-positive patients in healthcare settings, and (5) administering provider and patient surveys to assess knowledge and attitudes regarding the use of antiretroviral therapy for prevention and the use of financial incentives to improve health outcomes. The study used observational cohorts, cluster and individual randomization, and made novel use of the existing national HIV surveillance data infrastructure. All components were developed with input from a community advisory board, and pragmatic methods were used to implement and assess the outcomes for each study component. Results A total of 76 sites in Washington, DC, and the Bronx, NY, participated in the study: 37 HIV test sites, including 16 hospitals, and 39 HIV care sites. Between September 2010 and December 2014, all study components were successfully implemented at these sites and resulted in valid outcomes. Our pragmatic approach to the study design, implementation, and the assessment of study outcomes allowed the study to be conducted within established programmatic structures and processes. In addition, it was successfully layered on the ongoing standard of care and existing data infrastructure without disrupting health services. Conclusion The HPTN 065 study demonstrated the feasibility of implementing and evaluating a multi-component “test and treat” trial that included a large number of community sites and involved pragmatic approaches to study implementation and evaluation.

Background. The long-term effectiveness of human immunodeficiency virus (HIV) treatments containing integrase inhibitors is unknown. Methods. We use observational data from the Centers for AIDS Research Network of Integrated Clinical Systems and the Centers for Disease Control and Prevention to estimate 4-year risk of AIDS and all-cause mortality among 415 patients starting a raltegravir regimen compared to 2646 starting an efavirenz regimen (both regimens include emtricitabine and tenofovir disoproxil fumarate). We account for confounding and selection bias as well as generalizability by standardization for measured variables, and present both observational intent-to-treat and per-protocol estimates. Results. At treatment initiation, 12% of patients were female, 36% black, 13% Hispanic; median age was 37 years, CD4 count 321 cells/µL, and viral load 4.5 log10 copies/mL. Two hundred thirty-five patients incurred an AIDS-defining illness or died, and 741 patients left follow-up. After accounting for measured differences, the 4-year risk was similar among those starting both regimens (ie, intent-to treat hazard ratio [HR], 0.96 [95% confidence interval {CI}, .63-1.45]; risk difference, -0.9 [95% CI, -4.5 to 2.7]), as well as among those remaining on regimens (ie, per-protocol HR, 0.95 [95% CI, .59-1.54]; risk difference, -0.5 [95% CI, -3.8 to 2.9]). Conclusions. Raltegravir and efavirenz-based initial antiretroviral therapy have similar 4-year clinical effects. Vigilance regarding longer-term comparative effectiveness of HIV regimens using observational data is needed because large-scale experimental data are not forthcoming.

The Department of Health and Human Services recommends drug resistance testing at linkage to HIV care. Because receipt and timing of testing are not well characterized, we examined testing patterns among persons with diagnosed HIV who are linked to care. Using surveillance data in six jurisdictions for persons aged ≥13 years with HIV infection diagnosed in 2013, we assessed the proportion receiving testing, and among these, the proportion receiving testing at linkage. Multivariable log-binomial regression modeling estimated associations between selected characteristics and receipt of testing (1) overall, and (2) at linkage among those tested. Of 9,408 persons linked to care, 66% received resistance testing, among whom 68% received testing at linkage. Less testing was observed among male persons who inject drugs (PWID), compared with men who have sex with men (adjusted prevalence ratio [aPR]: 0.88; 95% confidence interval [CI]: 0.81–0.97) and persons living in areas with population

Objectives. To describe trends in HIV diagnoses and prevalence among persons who inject drugs (PWID), and trend variations by jurisdiction. Methods. We used National HIV Surveillance System data to estimate the number of HIV diagnoses made during 2008 through 2013, and measured trends by estimated annual percent change; and persons living with diagnosed HIV infection at year-end 2008 to 2012, and measured trends in prevalence by the 2012–2008 arithmetic difference. Results. During 2008 through 2013, the number of HIV diagnoses was stable among all persons ( 10% per year) overall and in 10 jurisdictions. The Black-to-White PWID diagnosis ratio was 2 to 1. During 2008 through 2012, the number of persons living with diagnosed HIV infection increased overall, was stable among PWID, and decreased in 14 jurisdictions. Conclusions. Had the rate of decrease in diagnoses of HIV infection among PWID equaled that of all persons, an additional 1500 diagnoses would have occurred between 2008 and 2013. Prevalence was stable among PWID, and increased overall among all persons living with HIV infection. Pronounced racial inequities persist, particularly for Blacks, and appear to be diminishing.

BACKGROUND Evaluation of the time from HIV diagnosis to viral suppression (VS) captures the collective effectiveness of HIV prevention and treatment activities in a given locale and provides a more global estimate of how effectively the larger HIV care system is working in a given geographic area or jurisdiction. OBJECTIVE This study aimed to evaluate temporal and geographic variability in VS among persons with newly diagnosed HIV infection in Alabama between 2012 and 2014. METHODS With data from the National HIV Surveillance System, we evaluated median time from HIV diagnosis to VS ( RESULTS Among 1979 newly diagnosed persons, 1181 (59.67%) achieved VS within 12 months of diagnosis; 52.6% (353/671) in 2012, 59.5% (377/634) in 2013, and 66.9% (451/674) in 2014. Median time from HIV diagnosis to VS was 8 months: 10 months in 2012, 8 months in 2013, and 6 months in 2014. Across 11 PHAs in Alabama, 12-month VS ranged from 45.8% (130/284) to 84% (26/31), and median time from diagnosis to VS ranged from 5 to 13 months. CONCLUSIONS Temporal improvement in persons achieving VS following HIV diagnosis statewide in Alabama is encouraging. However, considerable geographic variability warrants further evaluation to inform public health action. Time from HIV diagnosis to VS represents a meaningful indicator that can be incorporated into public health surveillance and programming.

Purpose: The aim of the article was to investigate recent trends in human immunodeficiency virus (HIV) diagnosis rates among men who have sex with men (MSM) in high-income countries in North America, Western Europe, and Australia. Methods: Data on annual rates of HIV diagnoses among MSM aged 15 to 65 years from 2000 to 2014 were collected from 13 high-income countries. Joinpoint regression software was used to empirically determine country-specific trend periods. Trends in HIV diagnosis rates and in the proportion of diagnoses occurring in young MSM aged 15 to 24 years were analyzed using Poisson regression and log-binomial regression, respectively. Results: Six countries experienced an increasing trend from 2000 to 2007-08 followed by either a stable or declining trend through 2014. Five countries had recently increasing trends, and two countries had one stable trend from 2000 to 2014. All 13 countries experienced increases in the proportion of diagnoses occurring in young MSM. Conclusions: Since 2008, half of the 13 high-income countries examined experienced stable or decreasing trends. Still, some countries continue to experience increasing HIV trends, and young MSM are increasingly represented among new diagnoses. Efforts to support early sexual health promotion, reduce barriers to pre-exposure prophylaxis, and improve care engagement for young MSM are critical to addressing current HIV trends. info:eu-repo/semantics/publishedVersion

Purpose To assess cross-population linkages in HIV/AIDS epidemics, we tested the hypothesis that the number of newly diagnosed AIDS cases among Black people who inject drugs (PWID) was positively related to the natural log of the rate of newly diagnosed HIV infections among Black non-PWID heterosexuals in 84 large U.S. metropolitan statistical areas (MSAs) in 2008–2016. Methods We estimated a multilevel model centering the time-varying continuous exposures at baseline between the independent (Black PWID AIDS rates) and dependent (HIV diagnoses rate among Black heterosexuals) variables. Results At MSA level, baseline (standardized β = 0.12) Black PWID AIDS rates and change in these rates over time (standardized β = 0.11) were positively associated with the log of new HIV diagnoses rates among Black heterosexuals. Thus, MSAs with Black PWID AIDS rates that were 1 standard deviation= higher at baseline also had rates of newly diagnosed HIV infections among Black non-PWID heterosexuals that were 10.3% higher. A 1 standard deviation increase in independent variable over time corresponded to a 7.8% increase in dependent variable. Conclusions Black PWID AIDS rates may predict HIV rates among non-PWID Black heterosexuals. Effective HIV programming may be predicated, in part, on addressing intertwining of HIV epidemics across populations.

Purpose The HIV care continuum is used to monitor success in HIV diagnosis and treatment among persons living with HIV in the United States. Significant differences exist along the HIV care continuum between subpopulations of people living with HIV; however, differences that may exist between residents of rural and nonrural areas have not been reported. Methods We analyzed the Centers for Disease Control and Prevention's National HIV Surveillance System data on adults and adolescents (≥13 years) with HIV diagnosed in 28 jurisdictions with complete reporting of HIV-related lab results. Lab data were used to assess linkage to care (≥1 CD4 or viral load test ≤3 months of diagnosis), retention in care (≥2 CD4 and/or viral load tests ≥3 months apart), and viral suppression (viral load

Background: Published death rates for persons with HIV have not distinguished deaths due to HIV from deaths due to other causes. Cause-specific death rates would allow better assessment of care needs. Methods: Using data reported to the US national HIV surveillance system, we examined a) associations between selected decedent characteristics and causes of death during 2007-2011, b) trends in rates of death due to underlying causes among persons with AIDS during 1990-2011, and among all persons with diagnosed HIV infection (with or without AIDS) during 2000-2011. Results: During 2007-2011, non-HIV-attributable causes of death with the highest rates per 1,000 person-years were heart disease (2.0), non-AIDS cancers other than lung cancer (1.4), and accidents (0.8). During 1990-2011, among persons with AIDS, the annual rate of death due to HIV-attributable causes decreased by 89% (from 122.0 to 13.2), and the rate due to non-HIV-attributable-causes decreased by 57% (from 20.0 to 8.6), while the percentage of deaths caused by non-HIV-attributable causes increased from 11% to 43%. During 2000-2011, among persons with HIV infection, the rate of death due to HIV-attributable causes decreased by 69% (from 26.4 to 8.3), and the rate due to non-HIV-attributable causes decreased by 28% (from 10.5 to 7.6), while the percentage of deaths caused by non-HIV-attributable causes increased from 25% to 48%. Conclusion: Among HIV-infected persons, as rates of death due to HIV-attributable causes decreased, rates due to non-HIV-attributable causes also decreased, but the percentages of deaths due to non-HIV-attributable causes, such as heart disease and non-AIDS cancers increased.

BACKGROUND We examined durable viral suppression, cumulative viral load (VL) burden, and transmission risk potential among human immunodeficiency virus (HIV)-diagnosed persons in care. METHODS Using data from the National HIV Surveillance System from 17 jurisdictions with complete reporting of VL test results, we determined the percentage of persons in HIV care who achieved durable viral suppression (all VL results

Objectives: Assess outcomes along the care continuum for HIV-infected people who inject drugs (PWID), by type of facility and stage of infection at diagnosis. Methods: Data reported by 28 jurisdictions to the National HIV Surveillance System by December 2014 were used to identify PWID aged ≥13 years, diagnosed with HIV infection before December 31, 2013. Analyses used the CDC definition of linkage to care (LTC), retention in care (RIC), and viral suppression (VS), and are stratified by age, sex, race/ethnicity, and type of facility and stage of HIV infection at diagnosis. Results: Of 1,409 PWID diagnosed with HIV in 2013, 1,116 (79.2%) were LTC with the lowest percentages among males (78.4%); blacks (77.5%) ages 13-24 years (69.0%); those diagnosed in early stage infection (71.6%); and at screening, diagnostic, or referral agencies (60.0%). Of 80,958 PWID living with HIV in 2012, 40,234 (49.7%) were RIC and 34,665 (42.8%) achieved VS. The lowest percentages for RIC and VS were among males (47.1% and 41.3% respectively); those diagnosed with late stage disease (47.1% and 42.4%); and young people. Whites had the lowest RIC (47.0%) while blacks had the lowest VS (41.1%). Conclusion: Enhanced LTC activities are needed for PWID diagnosed at screening, diagnostic or referral agencies versus those diagnosed at inpatient or outpatient settings, especially among young people and blacks diagnosed in early stage infection. Less than half of PWID are retained in care or reach viral suppression indicating the need for continued engagement and return to care activities over the long term.

Introduction Using National HIV surveillance system data, we estimated life expectancy and average years of life lost (AYLL) among persons diagnosed with HIV infection during 2008-2011. Methods Population-based surveillance data, restricted to persons with diagnosed HIV infection aged 13 years or older, from all 50 states and Washington, D.C. were used to estimate life expectancy after HIV diagnosis using the life table method. Generated estimates were compared with life expectancy in the general population in the same calendar year to calculate AYLL. Life expectancy and AYLL were also estimated for subgroups by age, sex, and race/ethnicity. Results The overall life expectancy after HIV diagnosis in the United States increased by 3.43 years from 25.43 (95% CI: 25.37 to 25.49) in 2008 to 28.86 (95% CI: 28.80 to 28.92) in 2011. Improvements were observed irrespective of sex, race/ethnicity, transmission category, and stage of disease at diagnosis, though the extent of improvement varied by different characteristics. Based on the life expectancy in the general population, in 2010, the AYLL were 12.8 years for males and 16.5 years for females. By race/ethnicity, on average, blacks (13.3 years) and whites (13.4 years) had fewer AYLL than Hispanics/Latinos (14.7). Conclusions Despite improvements in life expectancy among people diagnosed with an HIV infection during 2008-2011, disparities by sex and by race/ethnicity persist. Targeted efforts should continue to further reduce disparities and improve life expectancy after HIV diagnosis.

Objectives. We sought to determine whether contextual factors shape injection drug use among Black adolescents and adults. Methods. For this longitudinal study of 95 US metropolitan statistical areas (MSAs), we drew annual MSA-specific estimates of the prevalence of injection drug use (IDU) among Black adolescents and adults in 1993 through 2007 from 3 surveillance databases. We used existing administrative data to measure MSA-level socioeconomic status; criminal justice activities; expenditures on social welfare, health, and policing; and histories of Black uprisings (1960–1969) and urban renewal funding (1949–1974). We regressed Black IDU prevalence on these predictors by using hierarchical linear models. Results. Black IDU prevalence was lower in MSAs with declining Black high-school dropout rates, a history of Black uprisings, higher percentages of Black residents, and, in MSAs where 1992 White income was high, higher 1992 Black income. Incarceration rates were unrelated. Conclusions. Contextual factors shape patterns of drug use among Black individuals. Structural interventions, especially those that improve Black socioeconomic security and political strength, may help reduce IDU among Black adolescents and adults.

Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the United States (US) captured in surveillance and other observational databases are few. To explore potential joint data use to guide HIV treatment and prevention in the US, we examined three CDC-funded data sources in 2012: the HIV Outpatient Study (HOPS), a multisite longitudinal cohort; the Medical Monitoring Project (MMP), a probability sample of PLWH receiving medical care; and the National HIV Surveillance System (NHSS), a surveillance system of all PLWH. Overall, data from 1,697 HOPS, 4,901 MMP, and 865,102 NHSS PLWH were analyzed. Compared with the MMP population, HOPS participants were more likely to be older, non-Hispanic/Latino white, not using injection drugs, insured, diagnosed with HIV before 2009, prescribed antiretroviral therapy, and to have most recent CD4+ T-lymphocyte cell count ≥500 cells/mm3 and most recent viral load test

Background Persons living with HIV (PLWH) have an elevated risk for certain types of cancer. With modern antiretroviral therapy, PLWH are aging and cancer rates are changing. Objective To project cancer incidence rates and burden (number of new cancer diagnoses) among adult PLWH in the United States through 2030. Design Descriptive. Setting HIV/AIDS Cancer Match Study to project cancer rates and HIV Optimization and Prevention Economics model to project HIV prevalence. Participants HIV-infected adults. Measurements Projected cancer rates and burden among HIV-infected adults in the United States by age during 2006 to 2030 for AIDS-defining cancer (ADC)-that is, Kaposi sarcoma, non-Hodgkin lymphoma, and cervical cancer-and certain types of non-AIDS-defining cancer (NADC). All other cancer types were combined. Results The proportion of adult PLWH in the United States aged 65 years or older is projected to increase from 8.5% in 2010 to 21.4% in 2030. Age-specific rates are projected to decrease through 2030 across age groups for Kaposi sarcoma, non-Hodgkin lymphoma, cervical cancer, lung cancer, Hodgkin lymphoma, and other cancer types combined, and among those aged 65 years or older for colon cancer. Prostate cancer rates are projected to increase. The estimated total cancer burden in PLWH will decrease from 8150 cases in 2010 (2730 of ADC and 5420 of NADC) to 6690 cases in 2030 (720 of ADC and 5980 of NADC). In 2030, prostate cancer (n = 1590) and lung cancer (n = 1030) are projected to be the most common cancer types. Limitation Projections assume that current trends in cancer incidence rates, HIV transmission, and survival will continue. Conclusion The cancer burden among PLWH is projected to shift, with prostate and lung cancer expected to emerge as the most common types by 2030. Cancer will remain an important comorbid condition, and expanded access to HIV therapies and cancer prevention, screening, and treatment is needed. Primary funding source National Cancer Institute.