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Background: Disclosing HIV status to HIV-positive children is a major challenge facing families and health care providers. Despite recommendations for disclosure, rates remain low. We tested whether a pediatric HIV disclosure intervention delivered as an integral component of routine HIV health care in Ghana would improve disclosure to children., Methods: Dyads of HIV-infected children aged 7-18 years and their caregivers were enrolled from 2 HIV clinics in Accra and Kumasi, Ghana. The sites were randomly assigned to one of the 2 intervention arms to avoid treatment contamination between intervention and control participants. Trained interventionist used theory-guided therapeutic communication and personalized interaction to promote disclosure. Disclosure outcomes were measured at 12-week intervals. All analyses were completed using a modified intention-to-treat approach., Results: We enrolled 446 child-caregiver dyads (N = 240 intervention group; N = 206 control group); 52% of the children were boys, mean age 9.78 (±2.27) years. For disclosure at 1 year, a better overall treatment effect was observed (P < 0.001). Children in the treatment group had greater disclosure at each time point (P < 0.001) and a higher proportion of them had been disclosed to by 1 year (51.4% vs. 16.2%; P < 0.001; un-adjusted hazard ratio = 3.98: 95% confidence interval: 2.63 to 6.03) and 3 years (71.3% vs. 34.0%; unadjusted hazard ratio = 4.21: 95% confidence interval: 3.09 to 5.72). In the multivariate Cox model, factors associated with disclosure were treatment group (P < 0.001), children <11 years of age (P < 0.001), HIV-infected caregivers (P = 0.015), and caregiver's with greater education (P = 0.022)., Conclusions: This practical clinic-based disclosure intervention shows excellent promise as a means of improving HIV pediatric disclosure outcomes.

Objective: Newer antiretroviral drugs provide substantial benefits but are expensive. The cost-effectiveness of using antiretroviral drugs in combination for patients with multidrug-resistant HIV disease was determined., Design: A cohort state-transition model was built representing treatment-experienced patients with low CD4 counts, high viral load levels, and multidrug-resistant virus. The effectiveness of newer drugs (those approved in 2005 or later) was estimated from published randomized trials. Other parameters were estimated from a randomized trial and from the literature. The model had a lifetime time horizon and used the perspective of an ideal insurer in the United States. The interventions were combination antiretroviral therapy, consisting of 2 newer drugs and 1 conventional drug, compared with 3 conventional drugs. Outcome measures were life-years, quality-adjusted life-years (QALYs), costs, and incremental cost-effectiveness., Results: Substituting newer antiretroviral drugs increased expected survival by 3.9 years in advanced HIV disease. The incremental cost-effectiveness ratio of newer, compared with conventional, antiretroviral drugs was $75,556/QALY gained. Sensitivity analyses showed that substituting only one newer antiretroviral drug cost $54,559 to $68,732/QALY, depending on assumptions about efficacy. Substituting 3 newer drugs cost $105,956 to $117,477/QALY. Cost-effectiveness ratios were higher if conventional drugs were not discontinued., Conclusions: In treatment-experienced patients with advanced HIV disease, use of newer antiretroviral agents can be cost-effective, given a cost-effectiveness threshold in the range of $50,000 to $75,000 per QALY gained. Newer antiretroviral agents should be used in carefully selected patients for whom less expensive options are clearly inferior.

Objective: To investigate the relative magnitude and duration of impact of AIDS-defining events (ADEs) and non-AIDS serious adverse events (SAEs) on health-related quality of life (HRQoL) among patients with advanced HIV/AIDS., Methods: We use data from OPTIMA (OPTions In Management with Antiretrovirals), a multinational, randomized, open, control, clinical management trial of treatment strategies for patients with multidrug-resistant HIV and advanced immune disease. Longitudinal models were used to determine the effects of ADEs and SAEs on HRQoL across periods before, during, and after event onset. The Medical Outcomes Study HIV Health Survey (MOS-HIV) physical and mental health summary scores (MOS-PHS and MOS-MHS), EQ-5D, and the Health Utilities Index Mark 3 HRQoL measures were all assessed at regular follow-up intervals during the trial., Results: ADEs occurred much less frequently than SAEs (n = 147 vs. n = 821) in the study sample population of 368 patients, during median follow-up of 3.96 years. Although both ADEs and SAEs had significant negative impacts on HRQoL, SAEs had at least as large an impact upon HRQoL as ADEs when both were included in a multivariate linear regression model, controlling for other covariates. However, the effect of ADEs on HRQoL was more persistent, with larger magnitude of effect across all instruments in time intervals further from the onset of the event., Conclusions: Non-AIDS SAEs occurring in patients with late-stage HIV/AIDS seem to have at least as important an immediate impact on patient HRQoL as ADEs; however, the impact of ADEs seems to be more persistent. Our findings call for a greater emphasis on the detection and active prevention of non-AIDS SAEs in patients with late-stage HIV/AIDS.

Objective: To assess and compare alternative approaches of measuring preference-based health-related quality of life (HRQoL) in treatment-experienced HIV patients and evaluate their association with health status and clinical variables., Design: Cross-sectional study., Setting: Twenty-eight Veterans Affairs hospitals in the United States, 13 hospitals in Canada, and 8 hospitals in the United Kingdom., Patients: Three hundred sixty-eight treatment-experienced HIV-infected patients enrolled in the Options in Management with Antiretrovirals randomized trial., Measurements: Baseline sociodemographic and clinical indicators and baseline HRQoL using the Medical Outcome Study HIV Health Survey (MOS-HIV), the EQ-5D, the EQ-5D visual analog scale (EQ-5D VAS), the Health Utilities Index Mark 3 (HUI3), and standard gamble (SG) and time trade-off (TTO) techniques., Results: The mean (SD) baseline HRQoL scores were as follows: MOS-HIV physical health summary score 41.70 (11.16), MOS-HIV mental health summary score 44.76 (11.38), EQ-5D 0.77 (0.19), HUI3 0.59 (0.32), EQ-5D VAS 65.94 (21.71), SG 0.75 (0.29), and TTO 0.80 (0.31). Correlations between MOS-HIV summary scores and EQ-5D, EQ-5D VAS, and HUI3 ranged from 0.60 to 0.70; the correlation between EQ-5D and HUI3 was 0.73; and the correlation between SG and TTO was 0.43. Preference-based HRQoL scores were related to physical, mental, social, and overall health as measured by MOS-HIV. Concomitant medication use, CD4 cell count, and HIV viral load were related to some instruments' scores., Conclusions: On average, preference-based HRQoL for treatment-experienced HIV patients was decreased relative to national norms but also highly variable. Health status and clinical variables were related to HRQoL.

Objectives: To develop and validate a rapid, genotypic, quantitative AZT resistance assay, and to evaluate the predictive ability of a resistance index., Methods: AZT resistance profiles of paired samples from HIV-infected patients were determined by a ligase chain reaction (LCR) assay. AZT resistance levels and surrogate markers of HIV disease progression (viral load and CD4 counts) were used to compare AZT-naive and AZT-experienced patients. The ability of a "mutant/wild-type HIV-1 quasi-species" index to predict viral load was assessed., Results: AZT resistance, evident at baseline in both AZT-experienced and AZT-naive patients, increased over 6 months of treatment. The resistance profile of AZT-naive patients differed from that of AZT-experienced patients ( p <.05); viral load and CD4 counts were similar. The relative predictive ability (for subsequent viral load) of the resistance index was similar to or higher than that of baseline viral load or CD4 count., Conclusions: This assay used to detect AZT resistance could be adapted for use with other antiretrovirals. The predictive ability of the proposed resistance index was equal to or surpassed that of viral load and CD4 count, lending further support to the use of resistance assays in selecting drug regimens both before and during antiretroviral therapy.