Trajectories of Depressive Symptoms Among a Population of HIV-Infected Men and Women in Routine HIV Care in the United States.

Depressive symptoms vary in severity and chronicity. We used group-based trajectory models to describe trajectories of depressive symptoms (measured using the Patient Health Questionnaire-9) and predictors of trajectory group membership among 1493 HIV-infected men (84%) and 292 HIV-infected women (16%). At baseline, 29% of women and 26% of men had depressive symptoms. Over a median of 30 months of follow-up, we identified four depressive symptom trajectories for women (labeled "low" [experienced by 56% of women], "mild/moderate" [24%], "improving" [14%], and "severe" [6%]) and five for men ("low" [61%], "mild/moderate" [14%], "rebounding" [5%], "improving" [13%], and "severe" [7%]). Baseline antidepressant prescription, panic symptoms, and prior mental health diagnoses were associated with more severe or dynamic depressive symptom trajectories. Nearly a quarter of participants experienced some depressive symptoms, highlighting the need for improved depression management. Addressing more severe or dynamic depressive symptom trajectories may require interventions that additionally address mental health comorbidities.

Prevalence and Predictors of Substance Use Disorders Among HIV Care Enrollees in the United States.

Prior efforts to estimate U.S. prevalence of substance use disorders (SUDs) in HIV care have been undermined by caveats common to single-site trials. The current work reports on a cohort of 10,652 HIV-positive adults linked to care at seven sites, with available patient data including geography, demography, and risk factor indices, and with substance-specific SUDs identified via self-report instruments with validated diagnostic thresholds. Generalized estimating equations also tested patient indices as SUD predictors. Findings were: (1) a 48 % SUD prevalence rate (between-site range of 21-71 %), with 20 % of the sample evidencing polysubstance use disorder; (2) substance-specific SUD rates of 31 % for marijuana, 19 % alcohol, 13 % methamphetamine, 11 % cocaine, and 4 % opiate; and (3) emergence of younger age and male gender as robust SUD predictors. Findings suggest high rates at which SUDs occur among patients at these urban HIV care sites, detail substance-specific SUD rates, and identify at-risk patient subgroups.

Prevalence and Factors Associated with Hazardous Alcohol Use Among Persons Living with HIV Across the US in the Current Era of Antiretroviral Treatment.

Hazardous alcohol use is associated with detrimental health outcomes among persons living with HIV (PLWH). We examined the prevalence and factors associated with hazardous alcohol use in the current era using several hazardous drinking definitions and binge drinking defined as ≥5 drinks for men versus ≥4 for women. We included 8567 PLWH from 7 U.S. sites from 2013 to 2015. Current hazardous alcohol use was reported by 27% and 34% reported binge drinking. In adjusted analyses, current and past cocaine/crack (odd ratio [OR] 4.1:3.3-5.1, p < 0.001 and OR 1.3:1.1-1.5, p < 0.001 respectively), marijuana (OR 2.5:2.2-2.9, p < 0.001 and OR 1.4:1.2-1.6, p < 0.001), and cigarette use (OR 1.4:1.2-1.6, p < 0.001 and OR 1.3:1.2-1.5, p < 0.001) were associated with increased hazardous alcohol use. The prevalence of hazardous alcohol use remains high in the current era, particularly among younger men. Routine screening and targeted interventions for hazardous alcohol use, potentially bundled with interventions for other drugs, remain a key aspect of HIV care.

Predictors of Missed Hepatitis C Intake Appointments and Failure to Establish Hepatitis C Care Among Patients Living With HIV.

BACKGROUND: We estimated and characterized the proportion of patients living with HIV (PLWH) who missed hepatitis C (HCV) intake appointments and subsequently failed to establish HCV care. METHODS: Logistic regression analyses were used to identify factors associated with missed HCV intake appointments and failure to establish HCV care among PLWH referred for HCV treatment between January 2014 and December 2017. In addition to demographics, variables included HIV treatment characteristics, type of insurance, liver health status, active alcohol or illicit drug use, unstable housing, and history of a mental health disorder (MHD). RESULTS: During the study period, 349 new HCV clinic appointments were scheduled for 202 unduplicated patients. Approximately half were nonwhite, and 80% had an undetectable HIV viral load. Drug use (31.7%), heavy alcohol use (32.8%), and MHD (37.8%) were prevalent. Over the 4-year period, 21.9% of PLWH referred for HCV treatment missed their HCV intake appointment. The proportion increased each year, from 17.2% in 2014 to 25.4% in 2017 (P = .021). Sixty-six of the 202 newly referred HCV patients (32.7%) missed their first HCV appointment, and 28 of these (42.4%) failed to establish HCV care. Having a history of MHD, CD4 <200, ongoing drug use, and being nonwhite were independent predictors of missing an intake HCV appointment. The strongest predictor of failure to establish HCV care was having a detectable HIV viral load. CONCLUSIONS: The proportion of PLWH with missed HCV appointments increased over time. HCV elimination among PLWH may require integrated treatment of MHD and substance use.

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.

Patterns of diagnoses in hospital admissions in a multistate cohort of HIV-positive adults in 2001.

BACKGROUND: Admissions for AIDS-related illnesses decreased soon after the introduction of highly active antiretroviral therapy (HAART), but it is unclear if the trends have continued in the current HAART era. An understanding of healthcare utilization patterns is important for optimization of care and resource allocation. We examined the diagnoses for hospitalizations of patients with HIV in 2001. METHODS: Demographic and healthcare data were collected for 8376 patients from 6 U.S. HIV care sites in 2001. We categorized diagnoses into 18 disease groups and used Poisson regression to analyze the number of admissions for each of the 4 most common groups. We also compared patients with admissions for AIDS-defining illnesses (ADI) with patients admitted for other diagnoses. RESULTS: Twenty-one percent of patients had at least 1 hospitalization. Among patients hospitalized at least once, 28% were hospitalized for an ADI. Comparing diagnosis categories, the most common hospitalizations were AIDS-defining illnesses (21.6%), gastrointestinal (GI) diseases (9.5%), mental illnesses (9.0%), and circulatory diseases (7.4%). In multivariate analysis, women had higher hospitalization rates than men for ADI (incidence rate ratio [IRR], 1.50; 95% confidence interval [CI], 1.25-1.79) and GI diseases (IRR, 1.52; 95% CI, 1.15-2.00). Compared with whites, blacks had higher admission rates for mental illnesses (IRR, 1.70; 95% CI, 1.22-2.36), but not for ADI. As expected, CD4 count and viral load were associated with ADI admission rates; CD4 counts were also related to hospitalizations for GI and circulatory conditions. CONCLUSIONS: Five years after the introduction of HAART, AIDS-defining illnesses continue to have the highest hospitalization rate among the diagnosis categories examined. This result emphasizes the importance of vaccination for pneumonia and influenza, as well as prophylaxis for Pneumocystis jiroveci pneumonia. The relatively large number of mental illness admissions highlights the need for comanagement of psychiatric disease, substance abuse, and HIV. Overall, the majority of patients were hospitalized for reasons other than ADI, illustrating the importance of managing comorbid conditions in this population. Data from this cohort of patients with HIV may help guide the allocation of healthcare resources by enhancing our understanding of factors associated with variation in inpatient utilization rates.

Hospital and outpatient health services utilization among HIV-infected adults in care 2000-2002.

BACKGROUND: Rapid changes in HIV epidemiology and antiretroviral therapy may have resulted in recent changes in patterns of healthcare utilization. OBJECTIVE: The objective of this study was to examine sociodemographic and clinical correlates of inpatient and outpatient HIV-related health service utilization in a multistate sample of patients with HIV. DESIGN: Demographic, clinical, and resource utilization data were collected from medical records for 2000, 2001, and 2002. SETTING: This study was conducted at 11 U.S. HIV primary and specialty care sites in different geographic regions. PATIENTS: In each year, HIV-positive patients with at least one CD4 count and any use of inpatient, outpatient, or emergency room services. Sample sizes were 13,392 in 2000, 15,211 in 2001, and 14,403 in 2002. MAIN OUTCOME MEASURES: Main outcome measures were number of hospital admissions, total days in hospital, and number of outpatient clinic/office visits per year. Inpatient and outpatient costs were estimated by applying unit costs to numbers of inpatient days and outpatient visits. RESULTS: Mean numbers of admissions per person per year decreased from 2000 (0.40) to 2002 (0.35), but this difference was not significant in multivariate analyses. Hospitalization rates were significantly higher among patients with greater immunosuppression, women, blacks, patients who acquired HIV through drug use, those 50 years of age and over, and those with Medicaid or Medicare. Mean annual outpatient visits decreased significantly between 2000 and 2002, from 6.06 to 5.66 visits per person per year. Whites, Hispanics, those 30 years of age and over, those on highly active antiretroviral therapy (HAART), and those with Medicaid or Medicare had significantly higher outpatient utilization. Inpatient costs per patient per month (PPPM) were estimated to be 514 dollars in 2000, 472 dollars in 2001, and 424 dollars in 2002; outpatient costs PPPM were estimated at 108 dollars in 2000, 100 dollars in 2001, and 101 dollars in 2002. CONCLUSION: Changes in utilization over this 3-year period, although statistically significant in some cases, were not substantial. Hospitalization rates remain relatively high among minority or disadvantaged groups, suggesting persistent disparities in care. Combined inpatient and outpatient costs for patients on HAART were not significantly lower than for patients not on HAART.