Body image in men with HIV.

OBJECTIVE: To determine body image among HIV-infected men and to determine the relationship of lipodystrophy on body image. METHODOLOGY: Self-report questionnaires on body image were distributed to HIV-infected men at the university-based HIV clinic. Two previously validated instruments, the Body Image Quality of Life (BIQLI) scale and the Situational Inventory of Body Image Dysphoria Short Form (SIBID-S) were used to measure body image effects. The presence of lipodystrophy was determined by both self-report and physician examination. Demographic characteristics, disease stage, health status, and quality of life were also ascertained. Analysis of responses was performed via both group comparisons and linear regression analyses. RESULTS: One hundred ten men responded. Seventy-one percent identified their sexual orientation as men having sex with men (MSM). Forty-eight reported the presence of lipodystrophic characteristics; 62 reported no lipodystrophic changes. Agreement regarding the presence of lipodystrophy between physician and subject was 0.80 as measured by the kappa coefficient of agreement. Compared to HIV-infected men who denied lipodystrophy, HIV-infected men with self-reported lipodystrophy demonstrated poor body image as measured by BIQLI (p < 0.0001) and SIBID-S scales (p = 0.0001). Similarly, physician rated lipodystrophy was significantly associated with both body image subscale scores. CONCLUSIONS: We demonstrate that lipodystrophy among HIV-infected men is associated with poor body image.

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.

Early adoption of HIV-1 resistance testing in the San Diego County Ryan White CARE Act Program: predictors and outcome.

This research identifies predictors and outcomes of early use of human immunodeficiency virus type 1 (HIV-1) resistance testing in the San Diego County Ryan White CARE Act program. Between January and November 2000, 98 patients receiving care in 7 clinics participated in the resistance testing program. Provider characteristics predictive of participation included number of patients and percent of practice devoted to HIV care and number of HIV-related continuing medical education hours over the preceding 12 months. Providers rarely requested expert panel review of test results, and expert review was not predictive of better viral load responses. Regimens specified before knowledge of resistance results had more active drugs than those prescribed after knowledge of test results. Phenotypic susceptibility was predictive of virologic response, as was degree of prior nucleoside analogue exposure. There was little relationship between phenotypic susceptibility and a clinician's decision to prescribe a drug. Early adopters of this technology were more experienced HIV providers than their colleagues and utilized susceptibility information using reasoning processes in which resistance was a contributory but not necessarily dominating factor.