Literature DB >> 19500014

How much fat loss is needed for lipoatrophy to become clinically evident?

Daniel Podzamczer1, Elena Ferrer, Esteban Martínez, Luis Del Rio, Joaquín Rosales, Jordi Curto, Esteban Ribera, Pilar Barrufet, Josep M Llibre, Miquel Aranda.   

Abstract

The objective of this study was to evaluate how much limb fat is needed to be lost for lipoatrophy to become clinically evident. Antiretroviral drug-naive patients from a randomized trial comparing stavudine or abacavir plus lamivudine and efavirenz, who had subjective assessment to detect clinically evident lipoatrophy (standardized questionnaire) and objective measurements of limb fat (dual X-ray absorptiometry) at baseline, 48 weeks, and 96 weeks were included. ROC curves were used to assess the sensitivity and specificity of several cut-off values of absolute and percent limb fat loss for diagnosing lipoatrophy. Of 54 patients included, 13 (24%) had subjective lipoatrophy at 96 weeks. After 96 weeks, median limb fat change was -2.3 kg (interquartile range: -5.2, +0.2) and 0.4 kg (interquartile range: -7.2, +3.4) in patients with and without lipoatrophy, respectively. Median percent limb fat change was -45.5% (interquartile range: -78.0, +3.7) and 5.5% (interquartile range: -62.8, +95.6), respectively. The cut-off values of absolute and percent limb fat loss showing the best sensitivity and specificity values were -1.5 kg (sensitivity, 77%; specificity, 76%) and -30% (sensitivity, 85%; specificity, 73%). At least 30% limb fat is needed to be lost in HIV-infected patients for lipoatrophy to become clinically evident.

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Year:  2009        PMID: 19500014     DOI: 10.1089/aid.2008.0264

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  9 in total

1.  LIPODYSTROPHY SYNDROME IN HIV-INFECTED CHILDREN ON HAART.

Authors:  Steve Innes; Leon Levin; Mark Cotton
Journal:  South Afr J HIV Med       Date:  2009-12       Impact factor: 2.744

2.  Peripheral and central fat changes in subjects randomized to abacavir-lamivudine or tenofovir-emtricitabine with atazanavir-ritonavir or efavirenz: ACTG Study A5224s.

Authors:  Grace A McComsey; Douglas Kitch; Paul E Sax; Pablo Tebas; Camlin Tierney; Nasreen C Jahed; Laurie Myers; Kathleen Melbourne; Belinda Ha; Eric S Daar
Journal:  Clin Infect Dis       Date:  2011-07-15       Impact factor: 9.079

3.  Subjective clinical lipoatrophy assessment correlates with DEXA-measured limb fat.

Authors:  Marisa Tungsiripat; Mary Ann O'Riordan; Norma Storer; Danielle Harrill; Jason Ganz; Daniel Libutti; Mariana Gerschenson; Grace A McComsey
Journal:  HIV Clin Trials       Date:  2009 Sep-Oct

Review 4.  Approach to the human immunodeficiency virus-infected patient with lipodystrophy.

Authors:  Todd T Brown
Journal:  J Clin Endocrinol Metab       Date:  2008-08       Impact factor: 5.958

5.  Body Composition Changes After Initiation of Raltegravir or Protease Inhibitors: ACTG A5260s.

Authors:  Grace A McComsey; Carlee Moser; Judith Currier; Heather J Ribaudo; Pawel Paczuski; Michael P Dubé; Theodoros Kelesidis; Jennifer Rothenberg; James H Stein; Todd T Brown
Journal:  Clin Infect Dis       Date:  2016-01-20       Impact factor: 9.079

6.  Lipodystrophy in HIV patients: its challenges and management approaches.

Authors:  Rohit Singhania; Donald P Kotler
Journal:  HIV AIDS (Auckl)       Date:  2011-12-14

7.  New and emerging agents in the management of lipodystrophy in HIV-infected patients.

Authors:  Eric Bonnet
Journal:  HIV AIDS (Auckl)       Date:  2010-09-17

8.  Differential relationships of hepatic and epicardial fat to body composition in HIV.

Authors:  Lindsay T Fourman; Michael T Lu; Hang Lee; Kathleen V Fitch; Travis R Hallett; Jakob Park; Natalia Czerwonka; Julian Weiss; Takara L Stanley; Janet Lo; Steven K Grinspoon
Journal:  Physiol Rep       Date:  2017-10-16

9.  Anthropometric differences between HIV-infected individuals prior to antiretroviral treatment and the general population from 1998-2007: the AIDS Clinical Trials Group Longitudinal Linked Randomized Trials (ALLRT) cohort and NHANES.

Authors:  Benjamin E Atkinson; Supriya Krishnan; Gary Cox; Todd Hulgan; Ann C Collier
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

  9 in total

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