Fat Distribution in HIV-Infected Women in the United States
University of California, San Francisco, CA, USA.JAIDS Journal of Acquired Immune Deficiency Syndromes (Impact Factor: 4.56). 02/2005; 38(1):18-22. DOI: 10.1097/00126334-200501010-00004
Surveys in HIV-infected men on antiretroviral therapy (ART) consistently demonstrate decreased levels of peripheral fat, with variable effects on central fat. This substudy of the Women's Interagency HIV Study was undertaken to examine fat distribution in a well-characterized cohort of HIV-positive and HIV-negative women in the United States. Whole-body dual-energy x-ray absorptiometry scanning with standardized regional analysis was performed in 271 nonpregnant women. Results were compared in the following groups: HIV negative (n = 88); and HIV positive on no ART (n = 70), highly active ART with a protease inhibitor (HAART/PI) (n = 48), or non-PI-containing HAART (n = 53). The groups were well matched with respect to race, with the majority of women coming from racial/ethnic minorities. The majority of both HIV-positive and HIV-negative women were overweight (body mass index [BMI] >/=25 kg/m), and many were obese (BMI >30 kg/m). Leg fat in both groups on HAART was significantly lower than in HIV-negative women (P = 0.01 and <0.0001 vs. HIV-negative for HAART/PI and HAART/no PI, respectively), whereas trunk fat was lower only in HAART/no PI (P = 0.0004 vs. HIV-negative). Thus, consistent with reports in men, lower levels of peripheral (leg) fat are seen in HIV-infected women on HAART, despite the high prevalence of obesity in this population.
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ABSTRACT: 1.0 Summary 1.1 HIV Testing 1.2 Methodology 1.3 Adherence 1.4 Gender and ethnicity 1.5 When to start treatment 1.5.1 Primary HIV infection 1.5.2 Symptomatic HIV Infection 1.5.3 Asymptomatic HIV Infection 220.127.116.11 Individuals with CD4 counts o200 cells/mL 18.104.22.168 Individuals with CD4 counts 4350 cells/mL 22.214.171.124 Individuals with CD4 countsHIV Medicine 08/2005; 6 Suppl 2(8):1-61. DOI:10.1111/j.1468-1293.2005.0311b.x · 3.99 Impact Factor
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ABSTRACT: Objective: Both peripheral fat loss and central fat gain have been reported in women with HIV infection. We determined the fat changes that are specific to HIV infection in women. Methods: HIV-infected and control women from the study of Fat Redistribution and Metabolic Change in HIV Infection (FRAM) were compared. Lipoatrophy or lipohypertrophy was defined as concordance between participant report of fat change and clinical examination. Whole-body magnetic resonance imaging measured regional adipose tissue volumes. The relationship among different adipose tissue depots was assessed. Factors associated with individual depots were analyzed using multivariate linear regression. Results: HIV-infected women reported more fat loss than controls in all peripheral and most central depots. Peripheral lipoatrophy was more frequent in HIV-infected women than controls (28% vs. 4%, P < 0.001), whereas central lipohypertrophy was similar (62% vs. 63%). Among HIV-infected women, those with central lipohypertrophy were less likely to have peripheral lipoatrophy (odds ratio, 0.39; 95% confidence interval, 0.20 to 0.75, P = 0.006) than those without central lipohypertrophy. On magnetic resonance imaging, HIV-infected women with clinical peripheral lipoatrophy had less subcutaneous adipose tissue (SAT) in peripheral and central sites and less visceral adipose tissue (VAT) than HIV-infected women without peripheral lipoatrophy. Compared with controls, HIV-infected women had less SAT in the legs, regardless of the presence or absence of lipoatrophy. However, those without lipoatrophy had more VAT and upper trunk SAT than controls. Use of the antiretroviral drug stavudine was associated with less leg SAT but was not associated with VAT. The use of highly active antiretroviral therapy, however, was associated with more VAT. Conclusions: Peripheral lipoatrophy occurs commonly in HIV-infected women but is not associated with reciprocally increased VAT or trunk fat.JAIDS Journal of Acquired Immune Deficiency Syndromes 08/2006; 42(5):562-571. DOI:10.1097/01.qai.0000229996.75116.da · 4.56 Impact Factor
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