OBJECTIVE: At issue is whether weight loss in HIV infection is a cachectic process, characterised by loss of lean body mass with conservation of fat, or a process of starvation. We present data on body composition from 516 persons at different stages of HIV infection as determined by CD4 counts. DESIGN: Cross-sectional analyses of body composition in relation to CD4 count. SETTING: The baseline data from a prospective cohort study of outcomes in HIV/AIDS in relation to nutritional status in Boston, Massachusetts, USA. SUBJECTS: : The first 516 subjects with HIV/AIDS to enroll in the study. RESULTS: Differences in weight in relation to CD4 counts were present only at CD4 counts of 600 or less (slope below : 1.9 kg per 100 CD4 cells, On average, 68% of the difference in weight over CD4 counts was fat (slope: 1.3 kg fat per 100 CD4 cells, CONCLUSIONS: This cross-sectional analysis suggests that weight loss consists principally of fat loss in those persons with adequate fat stores. This observation will need to be confirmed in longitudinal analyses.
OBJECTIVE: At issue is whether weight loss in HIV infection is a cachectic process, characterised by loss of lean body mass with conservation of fat, or a process of starvation. We present data on body composition from 516 persons at different stages of HIV infection as determined by CD4 counts. DESIGN: Cross-sectional analyses of body composition in relation to CD4 count. SETTING: The baseline data from a prospective cohort study of outcomes in HIV/AIDS in relation to nutritional status in Boston, Massachusetts, USA. SUBJECTS: : The first 516 subjects with HIV/AIDS to enroll in the study. RESULTS: Differences in weight in relation to CD4 counts were present only at CD4 counts of 600 or less (slope below : 1.9 kg per 100 CD4 cells, On average, 68% of the difference in weight over CD4 counts was fat (slope: 1.3 kg fat per 100 CD4 cells, CONCLUSIONS: This cross-sectional analysis suggests that weight loss consists principally of fat loss in those persons with adequate fat stores. This observation will need to be confirmed in longitudinal analyses.
Authors: James H McMahon; Christine A Wanke; Julian H Elliott; Sally Skinner; Alice M Tang Journal: J Acquir Immune Defic Syndr Date: 2011-09-01 Impact factor: 3.731
Authors: Nancy Crum-Cianflone; Mollie Poehlman Roediger; Lynn Eberly; Maryam Headd; Vincent Marconi; Anuradha Ganesan; Amy Weintrob; R Vincent Barthel; Susan Fraser; Brian K Agan Journal: PLoS One Date: 2010-04-09 Impact factor: 3.240
Authors: Margo N Woods; Christine A Wanke; Pei-Ra Ling; Kristy M Hendricks; Alice M Tang; Tamsin A Knox; Charlotte E Andersson; Kimberly R Dong; Sally C Skinner; Bruce R Bistrian Journal: Am J Clin Nutr Date: 2009-10-21 Impact factor: 7.045
Authors: Bela F Asztalos; Robert Matera; Katalin V Horvath; Michael Horan; Mariko Tani; Joseph F Polak; Sally Skinner; Christine A Wanke Journal: J AIDS Clin Res Date: 2014-06-12