Are missed- and kept-visit measures capturing different aspects of retention in HIV primary care?

The literature recognizes six measures of retention in care, an integral component of the HIV Continuum of Care. Given prior research showing that different retention measures are differentially associated with HIV health outcomes (e.g., CD4 count and viral suppression), we hypothesized that different groups of people living with HIV (PLWH) would also have differential retention outcomes based on the retention measure applied. We conducted a cross-sectional analysis of multisite patient-level medical record data (n = 10,053) from six academically-affiliated HIV clinics using six different measures of retention. Principal component analysis indicated two distinct retention constructs: kept-visit-measures and missed-visit measures. Although black (compared to white) PLWH had significantly poorer retention on the three missed-visit measures, race was not significantly associated with any of the three kept-visit measures. Males performed significantly worse than females on all kept-visit measures, but sex differences were not observed for any missed-visit retention measures. IDU risk transmission group and younger age were associated with poorer retention on both missed- and kept-visit retention measures. Missed- and kept-visit measures may capture different aspects of retention, as indicated in the observed differential associations among race, sex, age, and risk transmission group. Multiple measures are needed to effectively assess retention across patient subgroups.

Evaluation of a computer-based and counseling support intervention to improve HIV patients' viral loads.

We sought to integrate a brief computer and counseling support intervention into the routine practices of HIV clinics and evaluate effects on patients' viral loads. The project targeted HIV patients in care whose viral loads exceeded 1000 copies/ml at the time of recruitment. Three HIV clinics initiated the intervention immediately, and three other HIV clinics delayed onset for 16 months and served as concurrent controls for evaluating outcomes. The intervention components included a brief computer-based intervention (CBI) focused on antiretroviral therapy adherence; health coaching from project counselors for participants whose viral loads did not improve after doing the CBI; and behavioral screening and palm cards with empowering messages available to all patients at intervention clinics regardless of viral load level. The analytic cohort included 982 patients at intervention clinics and 946 patients at control clinics. Viral loads were assessed at 270 days before recruitment, at time of recruitment, and +270 days later. Results indicated that both the control and intervention groups had significant reductions in viral load, ending with approximately the same viral level at +270 days. There was no evidence that the CBI or the targeted health coaching was responsible for the viral reduction in the intervention group. Results may stem partially from statistical regression to the mean in both groups. Also, clinical providers at control and intervention clinics may have taken action (e.g., conversations with patients, referrals to case managers, adherence counselors, mental health, substance use specialists) to help their patients reduce their viral loads. In conclusion, neither a brief computer-based nor targeted health coaching intervention reduced patients' viral loads beyond levels achieved with standard of care services available to patients at well-resourced HIV clinics.

Gaps Up To 9 Months Between HIV Primary Care Visits Do Not Worsen Viral Load.

Current guidelines specify that visit intervals with viral monitoring should not exceed 6 months for HIV patients. Yet, gaps in care exceeding 6 months are common. In an observational cohort using US patients, we examined the association between gap length and changes in viral load status and sought to determine the length of the gap at which significant increases in viral load occur. We identified patients with gaps in care greater than 6 months from 6399 patients from six US HIV clinics. Gap strata were >6 to <7, 7 to <8, 8 to <9, 9 to <12, and ≥12 months, with viral load measurements matched to the opening and closing dates for the gaps. We examined visit gap lengths in association with two viral load measurements: continuous (log10 viral load at gap opening and closing) and dichotomous (whether patients initially suppressed but lost viral suppression by close of the care gap). Viral load increases were nonsignificant or modest when gap length was <9 months, corresponding to 10% or fewer patients who lost viral suppression. For gaps ≥12 months, there was a significant increase in viral load as well as a much larger loss of viral suppression (in 23% of patients). Detrimental effects on viral load after a care gap were greater in young patients, black patients, and those without private health insurance. On average, shorter gaps in care were not detrimental to patient viral load status. HIV primary care visit intervals of 6 to 9 months for select patients may be appropriate.

Do Persons Living with HIV Continue to Fill Prescriptions for Antiretroviral Drugs during a Gap in Care? Analysis of a Large Commercial Claims Database.

The significance of a gap in HIV care depends, at least partially, on whether patients continue to fill prescriptions for antiretroviral (ARV) drugs during the gap in care. We used a billing claims database to determine the proportion of persons who filled ≥1 prescription for ARV drugs during a gap in care (no clinic visit in >6 months). Persons were stratified into 3 groups: "never" (prescriptions never filled), "sometimes" (prescriptions filled >0%-<100% of months), and "always" (prescriptions filled monthly). Logistic regression analyses were conducted to determine factors associated with "never" filling ARV drugs. Of 14 308 persons, 69% (n = 9817), 13% (n = 1928), and 18% (n = 2563) "never," "sometimes," and "always" filled ARV drugs during the gap in care. Persons aged 18 to 29 years (odds ratio [OR] = 1.56, 95% confidence interval [CI] 1.39-1.74), women (OR = 1.67, CI 1.52-1.83), and persons from the Northeast region of the United States (OR = 1.86, CI 1.69-2.03) were more likely to never fill ARV drugs than persons aged ≥30 years, men, and persons outside the Northeast, respectively. Efforts should be made to minimize gaps in care, emphasize importance of therapy, and provide adherence support.

Faster entry into HIV care among HIV-infected drug users who had been in drug-use treatment programs.

OBJECTIVE: We evaluated whether being in drug use treatment improves linkage to HIV medical care for HIV-infected drug users. We assessed whether an evidence-based intervention for linkage to care ['ARTAS'] works better for HIV-infected drug users who had been in drug use treatment than those who had not. DESIGN: Randomized trial. METHODS: 295 Participants in the Antiretroviral Treatment Access Study ['ARTAS'] trial were followed for time to first HIV medical care. Drug use (injected and non-injected drugs) in the last 30days and being in drug treatment in the last 12 months were assessed by audio-CASI. We used a proportional hazards model of time to care in drug users with and without drug treatment, adjusting for barriers to care, AIDS symptoms, and demographic factors. We tested whether drug treatment modified the intervention effect by using a drug use/drug treatment*intervention interaction term. RESULTS: Ninety-nine participants (30%) reported drug use in the 30days before enrollment. Fifty-three (18%) reported being in a drug treatment program in the last 12 months. Drug users reporting methadone maintenance became engaged in care in less than half the time of drug users without a treatment history [HR 2.97 (1.20, 6.21)]. The ARTAS intervention effect was significantly larger for drug users with a treatment history compared to drug users without a treatment history (AHR 5.40, [95% CI, 2.03-14.38]). CONCLUSIONS: Having been in drug treatment programs facilitated earlier entry into care among drug users diagnosed with HIV infection, and improved their response to the ARTAS linkage intervention.

Single Viral Load Measurements Overestimate Stable Viral Suppression Among HIV Patients in Care: Clinical and Public Health Implications.

BACKGROUND: The HIV continuum of care paradigm uses a single viral load test per patient to estimate the prevalence of viral suppression. We compared this single-value approach with approaches that used multiple viral load tests to examine the stability of suppression. METHODS: The retrospective analysis included HIV patients who had at least 2 viral load tests during a 12-month observation period. We assessed the (1) percent with suppressed viral load (<200 copies/mL) based on a single test during observation, (2) percent with suppressed viral loads on all tests during observation, (3) percent who maintained viral suppression among patients whose first observed viral load was suppressed, and (4) change in viral suppression status comparing first with last measurement occasions. Prevalence ratios compared demographic and clinical subgroups. RESULTS: Of 10,942 patients, 78.5% had a suppressed viral load based on a single test, whereas 65.9% were virally suppressed on all tests during observation. Of patients whose first observed viral load was suppressed, 87.5% were suppressed on all subsequent tests in the next 12 months. More patients exhibited improving status (13.3% went from unsuppressed to suppressed) than worsening status (5.6% went from suppressed to unsuppressed). Stable suppression was less likely among women, younger patients, black patients, those recently diagnosed with HIV, and those who missed ≥1 scheduled clinic visits. CONCLUSIONS: Using single viral load measurements overestimated the percent of HIV patients with stable suppressed viral load by 16% (relative difference). Targeted clinical interventions are needed to increase the percent of patients with stable suppression.

Assessing efficacy of a retention-in-care intervention among HIV patients with depression, anxiety, heavy alcohol consumption and illicit drug use.

OBJECTIVE: We evaluated whether heavy alcohol use, illicit drug use or high levels of anxiety, and depression symptoms were modifiers of the retention through enhanced personal contact intervention. The intervention had previously demonstrated overall efficacy in the parent study. DESIGN: Randomized trial. METHODS: A total of 1838 patients from six US HIV clinics were enrolled into a randomized trial in which intervention patients received an 'enhanced contact' protocol for 12 months. All participants completed an audio computer-assisted self-interview that measured depression and anxiety symptoms from the Brief Symptom Inventory, alcohol use from the Alcohol Use Disorders Identification Test-Consumption instrument, and drug use from the WHO (Alcohol, Smoking and Substance Involvement Screening Test) questions. The 12-month binary outcome was completing an HIV primary care visit in three consecutive 4-month intervals. The outcome was compared between intervention and standard of care patients within subgroups on the effect modifier variables using log-binomial regression models. RESULTS: Persons with high levels of anxiety or depression symptoms and those reporting illicit drug use, or heavy alcohol consumption had no response to the intervention. Patients without these 'higher risk' characteristics responded significantly to the intervention. Further analysis revealed higher risk patients were less likely to have successfully received the telephone contact component of the intervention. Among higher risk patients who did successfully receive this component, the intervention effect was significant. CONCLUSION: Our findings suggest that clinic-based retention-in-care interventions are able to have significant effects on HIV patients with common behavioral health issues, but the design of those interventions should assure successful delivery of intervention components to increase effectiveness.

The Contribution of Missed Clinic Visits to Disparities in HIV Viral Load Outcomes.

OBJECTIVES: We explored the contribution of missed primary HIV care visits ("no-show") to observed disparities in virological failure (VF) among Black persons and persons with injection drug use (IDU) history. METHODS: We used patient-level data from 6 academic clinics, before the Centers for Disease Control and Prevention and Health Resources and Services Administration Retention in Care intervention. We employed staged multivariable logistic regression and multivariable models stratified by no-show visit frequency to evaluate the association of sociodemographic factors with VF. We used multiple imputations to assign missing viral load values. RESULTS: Among 10 053 patients (mean age = 46 years; 35% female; 64% Black; 15% with IDU history), 31% experienced VF. Although Black patients and patients with IDU history were significantly more likely to experience VF in initial analyses, race and IDU parameter estimates were attenuated after sequential addition of no-show frequency. In stratified models, race and IDU were not statistically significantly associated with VF at any no-show level. CONCLUSIONS: Because missed clinic visits contributed to observed differences in viral load outcomes among Black and IDU patients, achieving an improved understanding of differential visit attendance is imperative to reducing disparities in HIV.

Time above 1500 copies: a viral load measure for assessing transmission risk of HIV-positive patients in care.

OBJECTIVE: We examined HIV transmission potential of patients in care by analyzing the amount of person-time spent above a viral load threshold that increases risk for transmission. DESIGN: Observational cohort and supplemental data. METHODS: The cohort included HIV patients who received care at six HIV clinics in the United States, from 1 April 2009 to 31 March 2013, and had two or more viral load tests during this interval. Person-time (in days) above a viral load of 1500 copies/ml out of the total observation time was determined by inspecting consecutive pairs of viral load results and the time intervals between those pairs. The person-time rate ratios comparing demographic and clinical subgroups were estimated with Poisson regression. RESULTS: The cohort included 14 532 patients observed for a median of 1073 days with a median of nine viral load records. Ninety percent of the patients had been prescribed antiretroviral therapy. On average, viral load exceeded 1500 copies/ml during 23% of the patients' observation time (average of 84 days per year, per patient). Percentage of person-time above the threshold was higher among patients who had more than a fourth of their viral load pairs exceeding a 6-month interval (34% of observation time), patients not on antiretroviral therapy (58% of time), new/re-engaging patients (34% of time), patients 16-39 years of age (32% of time), and patients of black race (26% of time). CONCLUSION: HIV patients in care spent an average of nearly a quarter of their time with viral loads above 1500 copies/ml, higher among some subgroups, placing them at risk for potentially transmitting HIV to others.

Clinic-wide intervention lowers financial risk and improves revenue to HIV clinics through fewer missed primary care visits.

: We calculated the financial impact in 6 HIV clinics of a low-effort retention in care intervention involving brief motivational messages from providers, patient brochures, and posters. We used a linear regression model to calculate absolute changes in kept primary care visits from the preintervention year (2008-2009) to the intervention year (2009-2010). Revenue from patients' insurance was also assessed by clinic. Kept visits improved significantly in the intervention year versus the preintervention year (P < 0.0001). We found a net-positive effect on clinic revenue of +$24,000/year for an average-size clinic (7400 scheduled visits/year). We encourage HIV clinic administrators to consider implementing this low-effort intervention.

Enhanced personal contact with HIV patients improves retention in primary care: a randomized trial in 6 US HIV clinics.

BACKGROUND: The aim of the study was to determine whether enhanced personal contact with human immunodeficiency virus (HIV)-infected patients across time improves retention in care compared with existing standard of care (SOC) practices, and whether brief skills training improves retention beyond enhanced contact. METHODS: The study, conducted at 6 HIV clinics in the United States, included 1838 patients with a recent history of inconsistent clinic attendance, and new patients. Each clinic randomized participants to 1 of 3 arms and continued to provide SOC practices to all enrollees: enhanced contact with interventionist (EC) (brief face-to-face meeting upon returning for care visit, interim visit call, appointment reminder calls, missed visit call); EC + skills (organization, problem solving, and communication skills); or SOC only. The intervention was delivered by project staff for 12 months following randomization. The outcomes during that 12-month period were (1) percentage of participants attending at least 1 primary care visit in 3 consecutive 4-month intervals (visit constancy), and (2) proportion of kept/scheduled primary care visits (visit adherence). RESULTS: Log-binomial risk ratios comparing intervention arms against the SOC arm demonstrated better outcomes in both the EC and EC + skills arms (visit constancy: risk ratio [RR], 1.22 [95% confidence interval {CI}, 1.09-1.36] and 1.22 [95% CI, 1.09-1.36], respectively; visit adherence: RR, 1.08 [95% CI, 1.05-1.11] and 1.06 [95% CI, 1.02-1.09], respectively; all Ps < .01). Intervention effects were observed in numerous patient subgroups, although they were lower in patients reporting unmet needs or illicit drug use. CONCLUSIONS: Enhanced contact with patients improved retention in HIV primary care compared with existing SOC practices. A brief patient skill-building component did not improve retention further. Additional intervention elements may be needed for patients reporting illicit drug use or who have unmet needs. CLINICAL TRIALS REGISTRATION: CDCHRSA9272007.

Shifting the paradigm: using HIV surveillance data as a foundation for improving HIV care and preventing HIV infection.

CONTEXT: Reducing HIV incidence in the United States and improving health outcomes for people living with HIV hinge on improving access to highly effective treatment and overcoming barriers to continuous treatment. Using laboratory tests routinely reported for HIV surveillance to monitor individuals' receipt of HIV care and contacting them to facilitate optimal care could help achieve these objectives. Historically, surveillance-based public health intervention with individuals for HIV control has been controversial because of concerns that risks to privacy and autonomy could outweigh benefits. But with the availability of lifesaving, transmission-interrupting treatment for HIV infection, some health departments have begun surveillance-based outreach to facilitate HIV medical care. METHODS: Guided by ethics frameworks, we explored the ethical arguments for changing the uses of HIV surveillance data. To identify ethical, procedural, and strategic considerations, we reviewed the activities of health departments that are using HIV surveillance data to contact persons identified as needing assistance with initiating or returning to care. FINDINGS: Although privacy concerns surrounding the uses of HIV surveillance data still exist, there are ethical concerns associated with not using HIV surveillance to maximize the benefits from HIV medical care and treatment. Early efforts to use surveillance data to facilitate optimal HIV medical care illustrate how the ethical burdens may vary depending on the local context and the specifics of implementation. Health departments laid the foundation for these activities by engaging stakeholders to gain their trust in sharing sensitive information; establishing or strengthening legal, policy and governance infrastructure; and developing communication and follow-up protocols that protect privacy. CONCLUSIONS: We describe a shift toward using HIV surveillance to facilitate optimal HIV care. Health departments should review the considerations outlined before implementing new uses of HIV surveillance data, and they should commit to an ongoing review of activities with the objective of balancing beneficence, respect for persons, and justice.

Measuring retention in HIV care: the elusive gold standard.

BACKGROUND: Measuring retention in HIV primary care is complex, as care includes multiple visits scheduled at varying intervals over time. We evaluated 6 commonly used retention measures in predicting viral load (VL) suppression and the correlation among measures. METHODS: Clinic-wide patient-level data from 6 academic HIV clinics were used for 12 months preceding implementation of the Centers for Disease Control and Prevention/Health Resources and Services Administration (CDC/HRSA) retention in care intervention. Six retention measures were calculated for each patient based on scheduled primary HIV provider visits: count and dichotomous missed visits, visit adherence, 6-month gap, 4-month visit constancy, and the HRSA HIV/AIDS Bureau (HRSA HAB) retention measure. Spearman correlation coefficients and separate unadjusted logistic regression models compared retention measures with one another and with 12-month VL suppression, respectively. The discriminatory capacity of each measure was assessed with the c-statistic. RESULTS: Among 10,053 patients, 8235 (82%) had 12-month VL measures, with 6304 (77%) achieving suppression (VL <400 copies/mL). All 6 retention measures were significantly associated (P < 0.0001) with VL suppression (odds ratio; 95% CI, c-statistic): missed visit count (0.73; 0.71 to 0.75, 0.67), missed visit dichotomous (3.2; 2.8 to 3.6, 0.62), visit adherence (3.9; 3.5 to 4.3,0.69), gap (3.0; 2.6 to 3.3, 0.61), visit constancy (2.8; 2.5 to 3.0, 0.63), and HRSA HAB (3.8; 3.3 to 4.4, 0.59). Measures incorporating "no-show" visits were highly correlated (Spearman coefficient = 0.83-0.85), as were measures based solely on kept visits (Spearman coefficient = 0.72-0.77). Correlation coefficients were lower across these 2 groups of measures (range = 0.16-0.57). CONCLUSIONS: Six retention measures displayed a wide range of correlation with one another, yet each measure had significant association and modest discrimination for VL suppression. These data suggest there is no clear gold standard and that selection of a retention measure may be tailored to context.

A low-effort, clinic-wide intervention improves attendance for HIV primary care.

BACKGROUND: Retention in care for human immunodeficiency virus (HIV)-infected patients is a National HIV/AIDS Strategy priority. We hypothesized that retention could be improved with coordinated messages to encourage patients' clinic attendance. We report here the results of the first phase of the Centers for Disease Control and Prevention/Health Resources and Services Administration Retention in Care project. METHODS: Six HIV-specialty clinics participated in a cross-sectionally sampled pretest-posttest evaluation of brochures, posters, and messages that conveyed the importance of regular clinic attendance. 10,018 patients in 2008-2009 (preintervention period) and 11,039 patients in 2009-2010 (intervention period) were followed up for clinic attendance. Outcome variables were the percentage of patients who kept 2 consecutive primary care visits and the mean proportion of all primary care visits kept. Stratification variables were: new, reengaging, and active patients, HIV RNA viral load, CD4 cell count, age, sex, race or ethnicity, risk group, number of scheduled visits, and clinic site. Data were analyzed by multivariable log-binomial and linear models using generalized estimation equation methods. RESULTS: Clinic attendance for primary care was significantly higher in the intervention versus preintervention year. Overall relative improvement was 7.0% for keeping 2 consecutive visits and 3.0% for the mean proportion of all visits kept (P < .0001). Larger relative improvement for both outcomes was observed for new or reengaging patients, young patients and patients with elevated viral loads. Improved attendance among the new or reengaging patients was consistent across the 6 clinics, and less consistent across clinics for active patients. CONCLUSION: Targeted messages on staying in care, which were delivered at minimal effort and cost, improved clinic attendance, especially for new or reengaging patients, young patients, and those with elevated viral loads.

Predictors of time to enter medical care after a new HIV diagnosis: a statewide population-based study.

Public health benefits of expanded HIV screening will be adequately realized only if an early diagnosis is followed by prompt linkage to care. We characterized rates and factors associated with failure to enter into medical care within three months of HIV diagnosis and assessed the predictors of time to enter care over a follow-up period of up to 60 months. The study cohort included 3697 South Carolina (SC) residents' ≥13 years who were newly HIV-diagnosed in 2004-2008. Date of first laboratory report of CD4(+) T-cell count or viral load (VL) test after 30 days of confirmatory HIV diagnosis was used to define time to linkage to care. Results showed that of the total 3697 persons, 1768 (48%) entered care within three months, 1115 (30%) in four-12 months after diagnosis, and 814 (22%) failed to initiate care within 12 months of HIV diagnosis. At the end of study follow-up period of up to 60 months from the date of HIV diagnosis, 472/3697 (13%) individuals remained out of care. Multivariable Cox proportional hazards analysis showed that compared with hospitals, time to enter care was shorter in those diagnosed at state mental health/correctional facilities (adjusted hazards ratio [aHR] 1.16; 95% confidence interval [CI] 1.02-1.34) and longer in those diagnosed at county health departments (aHR 0.87; 95% CI 0.80-0.96) and at "Other/unknown" facilities (aHR 0.79; 95% CI 0.70-0.89). Time to entry into care was longer for men (aHR 0.82; 95% CI 0.75-0.89) compared with women, blacks (aHR 0.91; 95% CI 0.83-0.98) compared with whites, and males who have sex with males (MSM) (aHR 0.89; 95% CI 0.80-0.98) compared with heterosexual exposure. Delayed entry into HIV care remains a challenge in controlling HIV transmission in SC. Better integration of testing and care facilities could improve the proportion of newly HIV-diagnosed persons who enter care in a timely manner.

Cytomegalovirus (CMV) shedding is highly correlated with markers of immunosuppression in CMV-seropositive women.

Cytomegalovirus (CMV) enters latency following primary infection and can subsequently reactivate. Reinfection with a different viral strain can also occur. During these events, CMV is shed in bodily fluids. This study examined correlates of CMV shedding in specimens obtained from the HIV Epidemiology Research Study, a multicenter cohort study of US women with or at high risk for human immunodeficiency virus (HIV) infection. Among the women studied, 91.4 % (911/997) were CMV IgG seropositive. Of these women, 2.7 % (25/911) were CMV IgM seropositive. CMV DNA was detected via real-time PCR more frequently in cervicovaginal lavage (CVL) specimens (55/764, 7.2 %) than in peripheral blood mononuclear cells (PBMCs) (26/897, 2.9 %). CMV viral loads in 1 ml CVL (median 534; mean 2598; range = 40-74, 844) were higher than in 106 PBMCs (median 264; mean 1287; range = 35-13 ,250). CMV DNA in PBMCs was associated with HIV seropositivity [odds ratio (OR) 13.5; 95 % confidence interval (CI) 1.8-100], increasing HIV viral load (P<0.001 for trend), decreasing CD4 cell counts (P<0.001 for trend) and CMV DNA in CVL (OR 26; 95 % CI 10.7-64). CMV DNA in CVL specimens was associated with CMV IgM seropositivity (OR 4.3; 95 % CI 1.5-12.3), HIV seropositivity (OR 7.3; 95 % CI 2.6-20), increasing HIV viral load (P<0.001 for trend) and decreasing CD4 cell counts (P<0.001 for trend). The positive predictive value of CMV IgM seropositivity for CMV DNA shedding in either PBMCs or CVL was 20 %. In summary, CMV shedding in CVL and PBMCs was highly correlated with each other and with markers of immune suppression.

The influence of human leukocyte antigen class I alleles and their population frequencies on human immunodeficiency virus type 1 control among African Americans.

Populations of African ancestry continue to account for a disproportionate burden of the human immunodeficiency virus type 1 (HIV-1) epidemic in the United States. We investigated the effects of human leukocyte antigen (HLA) class I markers in association with virologic and immunologic control of HIV-1 infection among 338 HIV-1 subtype B-infected African Americans in 2 cohorts: Reaching for Excellence in Adolescent Care and Health (REACH) and HIV Epidemiology Research Study (HERS). One-year treatment-free interval measurements of HIV-1 RNA viral loads and CD4(+) T cells were examined both separately and combined to represent 3 categories of HIV-1 disease control (76 controllers, 169 intermediates, and 93 noncontrollers). Certain previously or newly implicated HLA class I alleles (A*32, A*36, A*74, B*14, B*1510, B*3501, B*45, B*53, B*57, Cw*04, Cw*08, Cw*12, and Cw*18) were associated with 1 or more of the endpoints in univariate analyses. After multivariable adjustments for other genetic and nongenetic risk factors of HIV-1 progression, the subset of alleles more strongly or consistently associated with HIV-1 disease control included A*32, A*74, B*14, B*45, B*53, B*57, and Cw*08. Carriage of infrequent HLA-B but not HLA-A alleles was associated with more favorable disease outcomes. Certain HLA class I associations with control of HIV-1 infection cross the boundaries of race and viral subtype, whereas others appear confined within one or the other of those boundaries.

Entry and retention in medical care among HIV-diagnosed persons: a meta-analysis.

OBJECTIVE: A 'test and treat' strategy to reduce HIV transmission hinges on linking and retaining HIV patients in care to achieve the full benefit of antiretroviral therapy. We integrated empirical findings and estimated the percentage of HIV-positive persons in the United States who entered HIV medical care soon after their diagnosis; and were retained in care during specified assessment intervals. METHODS: We comprehensively searched databases and bibliographic lists to identify studies that collected data from May 1995 through 2009. Separate meta-analyses were conducted for entry into care and retention in care (having multiple HIV medical visits during specified assessment intervals) stratified by methodological variables. All analyses used random-effects models. RESULTS: Overall, 69% [95% confidence interval (CI) 66-71%, N = 53 323, 28 findings] of HIV-diagnosed persons in the United States entered HIV medical care averaged across time intervals in the studies. Seventy-two percent (95% CI 67-77%, N = 6586, 12 findings) entered care within 4 months of diagnosis. Seventy-six percent (95% CI 66-84%, N = 561, 15 findings) entered care after testing HIV-positive in emergency/urgent care departments and 67% (95% CI 64-70%, N = 52 762, 13 findings) entered care when testing was done in community locations. With respect to retention in care, 59% (95% CI 53-65%, N = 75 655, 28 findings) had multiple HIV medical care visits averaged across assessment intervals of 6 months to 3-5 years. Retention was lower during longer assessment intervals. CONCLUSION: Entry and retention in HIV medical care in the United States are moderately high. Improvement in both outcomes will increase the success of a test and treat strategy.

Human leukocyte antigen class I supertypes and HIV-1 control in African Americans.

The role of human leukocyte antigen (HLA) class I supertypes in controlling human immunodeficiency virus type 1 (HIV-1) infection in African Americans has not been established. We examined the effects of the HLA-A and HLA-B alleles and supertypes on the outcomes of HIV-1 clade B infection among 338 African American women and adolescents. HLA-B58 and -B62 supertypes (B58s and B62s) were associated with favorable HIV-1 disease control (proportional odds ratio [POR] of 0.33 and 95% confidence interval [95% CI] of 0.21 to 0.52 for the former and POR of 0.26 and 95% CI of 0.09 to 0.73 for the latter); B7s and B44s were associated with unfavorable disease control (POR of 2.39 and 95% CI of 1.54 to 3.73 for the former and POR of 1.63 and 95% CI of 1.08 to 2.47 for the latter). In general, individual alleles within specific B supertypes exerted relatively homogeneous effects. A notable exception was B27s, whose protective influence (POR, 0.58; 95% CI, 0.35 to 0.94) was masked by the opposing effect of its member allele B*1510. The associations of most B supertypes (e.g., B58s and B7s) were largely explained either by well-known effects of constituent B alleles or by effects of previously unimplicated B alleles aggregated into a particular supertype (e.g., B44s and B62s). A higher frequency of HLA-B genotypic supertypes correlated with a higher mean viral load (VL) and lower mean CD4 count (Pearson's r = 0.63 and 0.62, respectively; P = 0.03). Among the genotypic supertypes, B58s and its member allele B*57 contributed disproportionately to the explainable VL variation. The study demonstrated the dominant role of HLA-B supertypes in HIV-1 clade B-infected African Americans and further dissected the contributions of individual class I alleles and their population frequencies to the supertype effects.