E Malvy1, R Thiébaut, C Marimoutou, F Dabis. 1. Unité INSERM 330, Université Victor Segalen Bordeaux 2, Hĵpital Saint-André, Centre Hospitalier Universitaire de Bordeaux, France. crdess@crl.u-boedeaux2.fr
Abstract
OBJECTIVE: To assess the performance of weight related nutritional markers (reported involuntary weight loss greater than 10%, measured weight loss and body mass index-BMI-) in predicting HIV disease progression. DESIGN: Multirisk cohort of HIV-1 infected patients. METHOD: The three nutritional variables were studied in Cox proportional hazard models as time dependant variables. RESULTS: The sample included 2376 subjects (median follow up: 43.1 months), of those 675 experienced an AIDS defining event. After adjustment for well known prognostic factors, the reported weight loss greater than 10% tripled the risk of progression to clinical AIDS (Hazard ratio [HR] 3.0. 95% confidence interval [CI] 2.5-3.7). For measured weight loss under 5%. between 5% and 10% and greater than 10% of baseline weight compared with no weight loss, hazard ratios were respectively 1.8 (CI 1.5-2.2), 2.6 (CI 2.1-3.2) and 5.1 (CI 4.1-6.4). The relative risks of AIDS were 1.7 (CI 1.3-2.2) for BMI between 17 kg/m2 and 18.5 kg/m2, 2.6 (CI 1.7-4.0) for BMI between 16 kg/m2 and 17 kg/m2 and 4.7 (CI 3.0-7.4) for BMI under 16 kg/m2. COMMENTS: Even a limited weight loss measured at a given time during follow up increases the risk of HIV progression; moreover, a simple cross-sectionnal measure of BMI has a good predictive value for subsequent development of clinical disease.
OBJECTIVE: To assess the performance of weight related nutritional markers (reported involuntary weight loss greater than 10%, measured weight loss and body mass index-BMI-) in predicting HIV disease progression. DESIGN: Multirisk cohort of HIV-1 infectedpatients. METHOD: The three nutritional variables were studied in Cox proportional hazard models as time dependant variables. RESULTS: The sample included 2376 subjects (median follow up: 43.1 months), of those 675 experienced an AIDS defining event. After adjustment for well known prognostic factors, the reported weight loss greater than 10% tripled the risk of progression to clinical AIDS (Hazard ratio [HR] 3.0. 95% confidence interval [CI] 2.5-3.7). For measured weight loss under 5%. between 5% and 10% and greater than 10% of baseline weight compared with no weight loss, hazard ratios were respectively 1.8 (CI 1.5-2.2), 2.6 (CI 2.1-3.2) and 5.1 (CI 4.1-6.4). The relative risks of AIDS were 1.7 (CI 1.3-2.2) for BMI between 17 kg/m2 and 18.5 kg/m2, 2.6 (CI 1.7-4.0) for BMI between 16 kg/m2 and 17 kg/m2 and 4.7 (CI 3.0-7.4) for BMI under 16 kg/m2. COMMENTS: Even a limited weight loss measured at a given time during follow up increases the risk of HIV progression; moreover, a simple cross-sectionnal measure of BMI has a good predictive value for subsequent development of clinical disease.
Authors: A Muñoz; D Vlahov; L Solomon; J B Margolick; J C Bareta; S Cohn; J Astemborski; K E Nelson Journal: J Acquir Immune Defic Syndr (1988) Date: 1992
Authors: T Niyongabo; O Bouchaud; D Henzel; J C Melchior; B Samb; M C Dazza; C Ruggeri; J C Begue; J P Coulaud; B Larouzé Journal: Eur J Clin Nutr Date: 1997-09 Impact factor: 4.016
Authors: J P Palenicek; N M Graham; Y D He; D A Hoover; J S Oishi; L Kingsley; A J Saah Journal: J Acquir Immune Defic Syndr Hum Retrovirol Date: 1995-11-01
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