Assessing Antiretroviral Use During Gaps in HIV Primary Care Using Multisite Medicaid Claims and Clinical Data.

BACKGROUND: Some individuals who appear poorly retained by clinic visit-based retention measures are using antiretroviral therapy (ART) and maintaining viral suppression. We examined whether individuals with a gap in HIV primary care (≥180 days between HIV outpatient clinic visits) obtained ART during that gap after 180 days. SETTING: HIV Research Network data from 5 sites and Medicaid Analytic Extract eligibility and pharmacy data were combined. METHODS: Factors associated with having both an HIV primary care gap and a new (ie, nonrefill) ART prescription during a gap were evaluated with multinomial logistic regression. RESULTS: Of 6892 HIV Research Network patients, 6196 (90%) were linked to Medicaid data, and 4275 had any Medicaid ART prescription. Over half (54%) had occasional gaps in HIV primary care. Women, older people, and those with suppressed viral load were less likely to have a gap. Among those with occasional gaps (n = 2282), 51% received a new ART prescription in a gap. Viral load suppression before gap was associated with receiving a new ART prescription in a gap (odds ratio = 1.91, 95% confidence interval: 1.57 to 2.32), as was number of days in a gap (odds ratio = 1.04, 95% confidence interval: 1.02 to 1.05), and the proportion of months in the gap enrolled in Medicaid. CONCLUSIONS: Medicaid-insured individuals commonly receive ART during gaps in HIV primary care, but almost half do not. Retention measures based on visit frequency data that do not incorporate receipt of ART and/or viral suppression may misclassify individuals who remain suppressed on ART as not retained.

Comparing longitudinal CD4 responses to cART among non-perinatally HIV-infected youth versus adults: Results from the HIVRN Cohort.

BACKGROUND: Youth have residual thymic tissue and potentially greater capacity for immune reconstitution than adults after initiation of combination antiretroviral therapy (cART). However, youth face behavioral and psychosocial challenges that may make them more likely than adults to delay ART initiation and less likely to attain similar CD4 outcomes after initiating cART. This study compared CD4 outcomes over time following cART initiation between ART-naïve non-perinatally HIV-infected (nPHIV) youth (13-24 years-old) and adults (≥25-44 years-old). METHODS: Retrospective analysis of ART-naïve nPHIV individuals 13-44 years-old, who initiated their first cART between 2008 and 2011 at clinical sites in the HIV Research Network. A linear mixed model was used to assess the association between CD4 levels after cART initiation and age (13-24, 25-34, 35-44 years), accounting for random variation within participants and between sites, and adjusting for key variables including gender, race/ethnicity, viral load, gaps in care (defined as > 365 days between CD4 tests), and CD4 levels prior to cART initiation (baseline CD4). RESULTS: Among 2,595 individuals (435 youth; 2,160 adults), the median follow-up after cART initiation was 179 weeks (IQR 92-249). Baseline CD4 was higher for youth (320 cells/mm3) than for ages 25-34 (293) or 35-44 (258). At 239 weeks after cART initiation, median unadjusted CD4 was higher for youth than adults (576 vs. 539 and 476 cells/mm3, respectively), but this difference was not significant when baseline CD4 was controlled. Compared to those with baseline CD4 ≤200 cells/mm3, individuals with baseline CD4 of 201-500 and >500 cells/mm3 had greater predicted CD4 levels: 390, 607, and 831, respectively. Additionally, having no gaps in care and higher viral load were associated with better CD4 outcomes. CONCLUSIONS: Despite having residual thymic tissue, youth attain similar, not superior, CD4 gains as adults. Early ART initiation with minimal delay is as essential to optimizing outcomes for youth as it is for their adult counterparts.

Closing the Gap in Antiretroviral Initiation and Viral Suppression: Time Trends and Racial Disparities.

BACKGROUND: In the current antiretroviral (ART) era, the evolution of HIV guidelines and emergence of new ART agents might be expected to impact the times to ART initiation and HIV virologic suppression. We sought to determine if times to AI and virologic suppression decreased and if disparities exist by age, race/ethnicity, and HIV risk. METHODS: We performed a retrospective cohort study of data from 12 sites of the HIV Research Network, a consortium of US clinics caring for HIV-infected patients. HIV-infected adults (≥18 year old) newly presenting for care between 2003 and 2013 were included in this study. Times to AI and virologic suppression were defined as time from enrollment to AI and HIV RNA <400 copies per milliliter, respectively. We conducted time-to-event analyses using competing risk regression in the HIV Research Network cohort from 2003 to 2012 in 2-year intervals, with follow-up through 2013. RESULTS: Among 15,272 participants, 76.9% were male, 48.4% black, and 10.9% were injection drug use with median age of 38 years (interquartile range: 29-46 years). The adjusted subdistribution hazards ratios (SHRs) for AI and virologic suppression each increased for years 2007-2008 [SHR 1.23 (1.16-1.30), and SHR 1.25 (1.17-1.34), respectively], 2009-2010 [1.55 (1.46-1.64), and 1.54 (1.43-1.65), respectively], and 2011-2012 [1.94 (1.83-2.07), and 1.73 (1.61-1.86), respectively] compared with 2003-2004. Blacks had a lower probability of AI than whites and Hispanics. CONCLUSIONS: Since 2007, times from enrollment to AI and virologic suppression have decreased significantly compared with 2003-2004, but persisting disparities should be addressed.

Healthcare Coverage for HIV Provider Visits Before and After Implementation of the Affordable Care Act.

BACKGROUND: Before implementation of the Patient Protection and Affordable Care Act (ACA) in 2014, 100 000 persons living with human immunodeficiency virus (HIV) (PLWH) lacked healthcare coverage and relied on a safety net of Ryan White HIV/AIDS Program support, local charities, or uncompensated care (RWHAP/Uncomp) to cover visits to HIV providers. We compared HIV provider coverage before (2011-2013) versus after (first half of 2014) ACA implementation among a total of 28 374 PLWH followed up in 4 sites in Medicaid expansion states (California, Oregon, and Maryland), 4 in a state (New York) that expanded Medicaid in 2001, and 2 in nonexpansion states (Texas and Florida). METHODS: Multivariate multinomial logistic models were used to assess changes in RWHAP/Uncomp, Medicaid, and private insurance coverage, using Medicare as a referent. RESULTS: In expansion state sites, RWHAP/Uncomp coverage decreased (unadjusted, 28% before and 13% after ACA; adjusted relative risk ratio [ARRR], 0.44; 95% confidence interval [CI], .40-.48). Medicaid coverage increased (23% and 38%; ARRR, 1.82; 95% CI, 1.70-1.94), and private coverage was unchanged (21% and 19%; 0.96; .89-1.03). In New York sites, both RWHAP/Uncomp (20% and 19%) and Medicaid (50% and 50%) coverage were unchanged, while private coverage decreased (13% and 12%; ARRR, 0.86; 95% CI, .80-.92). In nonexpansion state sites, RWHAP/Uncomp (57% and 52%) and Medicaid (18% and 18%) coverage were unchanged, while private coverage increased (4% and 7%; ARRR, 1.79; 95% CI, 1.62-1.99). CONCLUSIONS: In expansion state sites, half of PLWH relying on RWHAP/Uncomp coverage shifted to Medicaid, while in New York and nonexpansion state sites, reliance on RWHAP/Uncomp remained constant. In the first half of 2014, the ACA did not eliminate the need for RWHAP safety net provider visit coverage.

Expenditures for Persons Living With HIV Enrolled in Medicaid, 2006-2010.

BACKGROUND: Costs of care for persons living with HIV have been high historically. Cost estimates based on data from 1 health care site may underestimate total expenditures; using insurance claims avoids this limitation. We used Medicaid claims data to comprehensively assess payments for care for persons living with HIV between 2006 and 2010. METHODS: Five sites from the HIV Research Network (HIVRN) provided information on patients with Medicaid coverage. Medicaid data were obtained from the sites' states (MD, NY, and MA) and 3 surrounding states and matched to HIVRN medical record-based data. Individuals less than 18, those with Medicare, and those in Medicaid managed care plans were excluded. Medicaid and HIVRN data were compared to ascertain concordance in capturing any inpatient event and any antiretroviral (ART) medication use. RESULTS: Of 6892 unique HIVRN identifiers, 6196 (90%) were linked to Medicaid data. The analytic sample included 11,341 person-years of Medicaid claims data from 3695 individuals in fee-for-service (FFS) programs. The mean annual FFS payment for all services was $47,434; mean annual FFS payment for only medical services was $38,311. Concordance between Medicaid and HIVRN data was excellent for ART use, but HIVRN data did not record a substantial proportion of years in which Medicaid recorded inpatient use. CONCLUSIONS: Estimated Medicaid payment amounts in this study are higher than some previous estimates. More complete capture of expensive inpatient hospitalizations in Medicaid data may partially explain this finding. Although inpatient care and ART medications contribute the most, expenditures for nonmedical services are substantial.

Factors Associated With Retention Among Non-Perinatally HIV-Infected Youth in the HIV Research Network.

BACKGROUND: The transmission of human immunodeficiency virus (HIV) among youth through high-risk behaviors continues to increase. Retention in Care is associated with positive clinical outcomes and a decrease in HIV transmission risk behaviors. We evaluated the clinical and demographic characteristics of non-perinatally HIV (nPHIV)-infected youth associated with retention 1 year after initiating care and in the 2 years thereafter. We also assessed the impact retention in year 1 had on retention in years 2 and 3. METHODS: This was a retrospective analysis of treatment-naive nPHIV-infected 12- to 24-year-old youth presenting for care in 16 US HIV clinical sites within the HIV Research Network between 2002 and 2008. Multivariate logistic regression identified factors associated with retention. RESULTS: Of 1160 nPHIV-infected youth, 44.6% were retained in care during the first year, and 22.4% were retained in all 3 years. Retention in the first year was associated with starting antiretroviral therapy in the first year (adjusted odds ratio [AOR], 3.47 [95% confidence interval (CI), 2.57-4.67]), Hispanic ethnicity (AOR, 1.66 [95% CI, 1.08-2.56]), men who have sex with men (AOR, 1.59 [95% CI, 1.07-2.36]), and receiving care at a pediatric site (AOR, 5.37 [95% CI, 3.20-9.01]). Retention in years 2 and 3 was associated with being retained 1 year after initiating care (AOR, 7.44 [95% CI, 5.11-10.83]). CONCLUSION: A high proportion of newly enrolled nPHIV-infected youth were not retained for 1 year, and only 1 in 4 were retained for 3 years. Patients who were Hispanic, were men who have sex with men, or were seen at pediatric clinics were more likely to be retained in care. Interventions that target those at risk of being lost to follow up are essential for this high-risk population.

The HIV Care Continuum: Changes over Time in Retention in Care and Viral Suppression.

BACKGROUND: The HIV care continuum (diagnosis, linkage to care, retention in care, receipt of antiretroviral therapy (ART), viral suppression) has been used to identify opportunities for improving the delivery of HIV care. Continuum steps are typically calculated in a conditional manner, with the number of persons completing the prior step serving as the base population for the next step. This approach may underestimate the prevalence of viral suppression by excluding patients who are suppressed but do not meet standard definitions of retention in care. Understanding how retention in care and viral suppression interact and change over time may improve our ability to intervene on these steps in the continuum. METHODS: We followed 17,140 patients at 11 U.S. HIV clinics between 2010-2012. For each calendar year, patients were classified into one of five categories: (1) retained/suppressed, (2) retained/not-suppressed, (3) not-retained/suppressed, (4) not-retained/not-suppressed, and (5) lost to follow-up (for calendar years 2011 and 2012 only). Retained individuals were those completing ≥ 2 HIV medical visits separated by ≥ 90 days in the year. Persons not retained completed ≥ 1 HIV medical visit during the year, but did not meet the retention definition. Persons lost to follow-up had no HIV medical visits in the year. HIV viral suppression was defined as HIV-1 RNA ≤ 200 copies/mL at the last measure in the year. Multinomial logistic regression was used to determine the probability of patients' transitioning between retention/suppression categories from 2010 to 2011 and 2010 to 2012, adjusting for age, sex, race/ethnicity, HIV risk factor, insurance status, CD4 count, and use of ART. RESULTS: Overall, 65.8% of patients were retained/suppressed, 17.4% retained/not-suppressed, 10.0% not-retained/suppressed, and 6.8% not-retained/not-suppressed in 2010. 59.5% of patients maintained the same status in 2011 (kappa=0.458) and 53.3% maintained the same status in 2012 (kappa=0.437). CONCLUSIONS: Not counting patients not-retained/suppressed as virally suppressed, as is commonly done in the HIV care continuum, underestimated the proportion suppressed by 13%. Applying the care continuum in a longitudinal manner will enhance its utility.

The lifetime medical cost savings from preventing HIV in the United States.

OBJECTIVE: Enhanced HIV prevention interventions, such as preexposure prophylaxis for high-risk individuals, require substantial investments. We sought to estimate the medical cost saved by averting 1 HIV infection in the United States. METHODS: We estimated lifetime medical costs in persons with and without HIV to determine the cost saved by preventing 1 HIV infection. We used a computer simulation model of HIV disease and treatment (CEPAC) to project CD4 cell count, antiretroviral treatment status, and mortality after HIV infection. Annual medical cost estimates for HIV-infected persons, adjusted for age, sex, race/ethnicity, and transmission risk group, were from the HIV Research Network (range, $1854-$4545/mo) and for HIV-uninfected persons were from the Medical Expenditure Panel Survey (range, $73-$628/mo). Results are reported as lifetime medical costs from the US health system perspective discounted at 3% (2012 USD). RESULTS: The estimated discounted lifetime cost for persons who become HIV infected at age 35 is $326,500 (60% for antiretroviral medications, 15% for other medications, 25% nondrug costs). For individuals who remain uninfected but at high risk for infection, the discounted lifetime cost estimate is $96,700. The medical cost saved by avoiding 1 HIV infection is $229,800. The cost saved would reach $338,400 if all HIV-infected individuals presented early and remained in care. Cost savings are higher taking into account secondary infections avoided and lower if HIV infections are temporarily delayed rather than permanently avoided. CONCLUSIONS: The economic value of HIV prevention in the United States is substantial given the high cost of HIV disease treatment.

Aging and loss to follow-up among youth living with human immunodeficiency virus in the HIV Research Network.

PURPOSE: In the United States, 21 years is a critical age of legal and social transition, with changes in social programs such as public insurance coverage. Human immunodeficiency virus (HIV)-infected youth have lower adherence to care and medications and may be at risk of loss to follow-up (LTFU) at this benchmark age. We evaluated LTFU after the 22nd birthday for HIV-infected youth engaged in care. LTFU was defined as having no primary HIV visits in the year after the 22nd birthday. METHODS: All HIV-infected 21-year-olds engaged in care (2002-2011) at the HIV Research Network clinics were included. We assessed the proportion LTFU and used multivariable logistic regression to evaluate demographic and clinical characteristics associated with LTFU after the 22nd birthday. We compared LTFU at other age transitions during the adolescent/young adult years. RESULTS: Six hundred forty-seven 21-year-olds were engaged in care; 91 (19.8%) were LTFU in the year after turning 22 years. Receiving care at an adult versus pediatric HIV clinic (adjusted odds ratio [AOR], 2.91; 95% confidence interval [CI], 1.42-5.93), having fewer than four primary HIV visits/year (AOR, 2.72; 95% CI, 1.67-4.42), and antiretroviral therapy prescription (AOR, .50; 95% CI, .41-.60) were independently associated with LTFU. LTFU was prevalent at each age transition, with factors associated with LTFU similar to that identified for 21-year-olds. CONCLUSIONS: Although 19.8% of 21-year-olds at the HIV Research Network sites were LTFU after their 22nd birthday, significant proportions of youth of all ages were LTFU. Fewer than four primary HIV care visits/year, receiving care at adult clinics and not prescribed antiretroviral therapy, were associated with LTFU and may inform targeted interventions to reduce LTFU for these vulnerable patients.

Impact of hepatitis coinfection on healthcare utilization among persons living with HIV.

: Hepatitis B virus (HBV) and hepatitis C virus (HCV) coinfection are increasingly important sources of morbidity among HIV-infected persons. We determined associations between hepatitis coinfection and healthcare utilization among HIV-infected adults at 4 US sites during 2006-2011. Outpatient HIV visits did not differ by hepatitis serostatus and decreased over time. Mental health visits were more common among HIV/HCV coinfected persons than among HIV monoinfected persons [incidence rate ratio (IRR): 1.27, 95% confidence interval (CI): 1.08 to 1.50]. Hospitalization rates were higher among all hepatitis-infected groups than among HIV monoinfected (HIV/HBV: IRR: 1.23, 95% CI: 1.05 to 1.44; HIV/HCV: IRR: 1.22, 95% CI: 1.10 to 1.36; HIV/HBV/HCV: IRR: 1.31, 95% CI: 1.02 to 1.68). These findings may inform the design of clinical services and allocation of resources.

Health insurance coverage for persons in HIV care, 2006-2012.

We examined trends in health insurance coverage among 36,999 HIV-infected adults in care at 11 US HIV clinics between 2006 and 2012. Aggregate health insurance coverage was stable during this time. The proportions of patient-years with private, Medicaid, Medicare, and no insurance during this period were 15.9%, 35.7%, 20.1%, and 28.4%, respectively. Medicaid coverage was more prevalent among women than men, blacks, and Hispanics than whites, and individuals with injection drug use risk compared with other transmission risk factors. Hispanics and younger age groups were more likely to be uninsured than other racial/ethnic and older age groups, respectively.

Hepatitis C virus testing in adults living with HIV: a need for improved screening efforts.

OBJECTIVES: Guidelines recommend hepatitis C virus (HCV) screening for all people living with HIV (PLWH). Understanding HCV testing practices may improve compliance with guidelines and can help identify areas for future intervention. METHODS: We evaluated HCV screening and unnecessary repeat HCV testing in 8,590 PLWH initiating care at 12 U.S. HIV clinics between 2006 and 2010, with follow-up through 2011. Multivariable logistic regression examined the association between patient factors and the outcomes: HCV screening (≥1 HCV antibody tests during the study period) and unnecessary repeat HCV testing (≥1 HCV antibody tests in patients with a prior positive test result). RESULTS: Overall, 82% of patients were screened for HCV, 18% of those screened were HCV antibody-positive, and 40% of HCV antibody-positive patients had unnecessary repeat HCV testing. The likelihood of being screened for HCV increased as the number of outpatient visits rose (adjusted odds ratio 1.02, 95% confidence interval 1.01-1.03). Compared to men who have sex with men (MSM), patients with injection drug use (IDU) were less likely to be screened for HCV (0.63, 0.52-0.78); while individuals with Medicaid were more likely to be screened than those with private insurance (1.30, 1.04-1.62). Patients with heterosexual (1.78, 1.20-2.65) and IDU (1.58, 1.06-2.34) risk compared to MSM, and those with higher numbers of outpatient (1.03, 1.01-1.04) and inpatient (1.09, 1.01-1.19) visits were at greatest risk of unnecessary HCV testing. CONCLUSIONS: Additional efforts to improve compliance with HCV testing guidelines are needed. Leveraging health information technology may increase HCV screening and reduce unnecessary testing.

Increase in CD4 count among new enrollees in HIV care in the modern antiretroviral therapy era.

BACKGROUND: Earlier HIV diagnosis and engagement in care improve outcomes and is cost effective, as a result, in 2006, the Centers for Disease Control and Prevention (CDC) revised the HIV-screening guidelines. We sought to determine whether the CD4 count (CD4) at presentation, a surrogate for time to presentation, increased during the study period. Our a priori hypothesis was that the CD4 at presentation increased during the study period, particularly after the CDC guideline revision. METHODS: We performed a retrospective cohort study and analyzed data from the HIV Research Network, a consortium of 18 US clinics caring for HIV-infected patients. HIV-infected adults (≥18 years old) newly presenting for care between 2003 and 2011 were included in this study. Multivariable linear regression examined associations with CD4 at enrollment. Calendar year was modeled as a linear spline with a change in slope at 2008, allowing determination of the mean change in CD4 per year during 2003-2007 and 2008-2011. RESULTS: Over 13,543 newly presenting subjects enrolled from 2003 to 2011. Median CD4 at enrollment rose from 285 to 317 cells per cubic millimeter between 2003-2007 and 2008-2011 (P < 0.001). After adjusting for age, race/ethnicity, gender, HIV risk factor, and clinic site, the mean increase in the CD4 count at presentation per year was 13.3 cells per cubic millimeter per year (95% confidence interval 6.4 to 20.1 cells per cubic millimeter per year) greater during 2008-2011 than during 2003-2007. CONCLUSIONS: We demonstrate a small, but statistically significant, increase in CD4 at presentation after the CDC guideline revision. More efforts are needed to decrease time to presentation to HIV care.

Impact of hepatitis coinfection on hospitalization rates and causes in a multicenter cohort of persons living with HIV.

BACKGROUND: Chronic viral hepatitis is a potentially important determinant of health care utilization among persons living with HIV. We describe hospitalization rates and reasons for hospitalization among persons living with HIV stratified by coinfection with hepatitis B virus (HBV) and/or hepatitis C virus (HCV). METHODS: Laboratory, demographic, and hospitalization data were obtained for all patients receiving longitudinal HIV care during 2010 at 9 geographically diverse sites. Hepatitis serostatus was assessed by hepatitis B surface antigen and/or hepatitis C antibody. ICD-9 codes were used to assign hospitalizations into diagnostic categories. Negative binomial regression was used to assess factors associated with all-cause and diagnostic category-specific hospitalizations. RESULTS: A total of 2793 hospitalizations were observed among 12,819 patients. Of these patients, 49.3% had HIV monoinfection, 4.1% HIV/HBV, 15.4% HIV/HCV, 2.5% HIV/HBV/HCV, and 28.7% unknown hepatitis serostatus. Compared with HIV monoinfection, the risk of all-cause hospitalization was increased with HIV/HBV [adjusted incidence rate ratio 1.55 (1.17 to 2.06)], HIV/HCV [1.45 (1.21 to 1.74)], and HIV/HBV/HCV [1.52 (1.04 to 2.22)]. Risk of hospitalization for non-AIDS-defining infection was also higher among patients with HIV/HBV [2.07 (1.38 to 3.11)], HIV/HCV [1.81 (1.36 to 2.40)], and HIV/HBV/HCV [1.96 (1.11 to 3.46)]. HIV/HBV was associated with hospitalization for gastrointestinal/liver disease [2.55 (1.30 to 5.01)]. HIV/HCV was associated with hospitalization for psychiatric illness [1.89 (1.11 to 3.26)]. CONCLUSIONS: HBV and HCV coinfection are associated with increased risk of all-cause hospitalization and hospitalization for non-AIDS-defining infections, as compared with HIV monoinfection. Policy-makers and third-party payers should be aware of the heightened risk of hospitalization associated with coinfection when allocating health care resources and considering models of health care delivery.

Retention in care is more strongly associated with viral suppression in HIV-infected patients with lower versus higher CD4 counts.

BACKGROUND: Retention in care is important for all HIV-infected patients, but may be more important for people with advanced HIV disease. We evaluated whether the association between retention in care and viral suppression differed by HIV disease severity. METHODS: A repeated cross-sectional analysis (2006-2011) involving 35,433 adults at 18 US HIV clinics. Multivariable logistic regression models examined associations between retention measures [Health Resources and Services Administration (HRSA) retention measure, 6-month gap, and 3-month visit constancy] and viral suppression (HIV-1 RNA ≤ 400 copies/mL) for HIV disease severity groups defined by CD4 counts: ≤ 200, 201-350, 351-500, and >500 cells per cubic millimeter. RESULTS: Overall, patients met the HRSA measure in 84% of person-years, did not have a 6-month gap in 76%, and had visits in all 4 quarters in 37%; patients achieved viral suppression in 72% of person-years. The association between retention in care and viral suppression differed by disease severity, and was strongest for patients with lower CD4 counts: ≤ 200 [adjusted odds ratio (AOR) = 2.33, 95% confidence interval (CI): 2.16 to 2.51], 201-350 (AOR = 1.96, CI: 1.81 to 2.12), 351-500 (AOR = 1.65, CI: 1.53 to 1.78), and >500 cells per cubic millimeter (AOR = 1.22, CI: 1.14 to 1.30) using the HRSA retention measure as a representative example. CONCLUSIONS: This is one of the first studies to report the impact of HIV disease severity on retention in care and viral suppression, demonstrating that retention in care is more strongly associated with viral suppression in patients with lower CD4 counts. These results have important implications for improving the health of patients with advanced HIV disease and for test and treat approaches to HIV prevention.

Thirty-day hospital readmission rate among adults living with HIV.

OBJECTIVE: Thirty-day hospital readmission rate is receiving increasing attention as a quality-of-care indicator. The objective of this study was to determine readmission rates and to identify factors associated with readmission among persons living with HIV. DESIGN: Prospective multicenter observational cohort. SETTING: Nine US HIV clinics affiliated through the HIV Research Network. PARTICIPANTS: Patients engaged in HIV care during 2005-2010. MAIN OUTCOME MEASURE(S): Readmission rate was defined as the proportion of hospitalizations followed by a readmission within 30 days. Factors in multivariate analyses included diagnostic categories, patient demographic and clinical characteristics, and having an outpatient follow-up visit. RESULTS: Among 11,651 total index hospitalizations, the 30-day readmission rate was 19.3%. AIDS-defining illnesses (ADIs, 9.6% of index hospitalizations) and non-AIDS-defining infections (26.4% of index hospitalizations) had readmission rates of 26.2 and 16.6%, respectively. Factors independently associated with readmission included lower CD4 cell count [adjusted odds ratio 1.80 (1.53-2.11) for CD4 cell count <50 vs. ≥351 cells/µl], longer length of stay [1.77 (1.53-2.04) for ≥9 days vs. 1-3 days], and several diagnostic categories including ADI. Having an outpatient follow-up clinic visit was not associated with lower readmission risk [adjusted hazard ratio 0.98 (0.88-1.08)]. CONCLUSION: The 19.3% readmission rate exceeds the 13.3% rate reported for the general population of 18-64-year-olds. HIV providers may use the 19.3% rate as a basis of comparison. Policymakers may consider the impact of HIV when estimating expected readmissions for a hospital or region. Preventing or recovering from severe immune dysfunction may be the most important factor to reducing readmissions.

Changes in Advanced Immunosuppression and Detectable HIV Viremia Among Perinatally HIV-Infected Youth in the Multisite United States HIV Research Network.

BACKGROUND: Due to successful antiretroviral therapy (ART), perinatally human immunodeficiency virus (PHIV)-infected children are reaching adolescence and young adulthood. Adolescence is characterized by factors (eg, increased risk-taking) that may hamper management. We examined PHIV-infected youth in a multisite US cohort, assessing factors associated with changes in advanced immunosuppression and detectable viremia over time. METHODS: We conducted a retrospective study of 521 PHIV-infected youth, 12 years and older, followed at 16 HIV clinics in the HIV Research Network between 2002 and 2010. We assessed demographic and clinical factors associated with CD4 <200 cells/mm(3) and viral load ≥2.60 log10 HIV-1 RNA copies/mL using multivariable logistic regression. RESULTS: Between 2002 and 2010, the median age of PHIV-infected youth in care increased from 14 to 18 years. The proportion prescribed ART increased from 67.4% to 84%, with virologic suppression increasing from 35.5% to 63.0% (P trend < .01). Older age, Black and Hispanic race/ethnicity, and increasing viremia were independently associated with CD4 <200 cells/mm(3). Older age, Black race and Hispanic ethnicity were independently associated with higher likelihood of detectable viremia, whereas more recent year of evaluation and being prescribed ART were associated with a lower likelihood. CONCLUSIONS: The proportion of PHIV-infected youth on ART has increased. Rates of viremia and advanced immunosuppression have decreased in recent years, but both rates are higher for older PHIV-infected youth. Factors associated with advanced immunosuppression and viremia offer the chance to define strategies to optimize outcomes.