Gender difference in HIV-1 RNA viral loads.
HIV Med
; 6(3): 170-8, 2005 May.
Article
em En
| MEDLINE
| ID: mdl-15876283
ABSTRACT
OBJECTIVES:
To test and characterize the dependence of viral load on gender in different countries and racial groups as a function of CD4 T-cell count.METHODS:
Plasma viral load data were analysed for > 30,000 HIV-infected patients attending clinics in the USA [HIV Insight (Cerner Corporation, Vienna, VA, USA) and Plum Data Mining LLC (East Meadow, NY, USA) databases] and the Netherlands (Athena database; HIV Monitoring Foundation, Amsterdam, Netherlands). Log-normal regression models were used to test for an effect of gender on viral load while adjusting for covariates and allowing the effect to depend on CD4 T-cell count. Sensitivity analyses were performed to test the robustness of conclusions to assumptions regarding viral loads below the lower limit of quantification (LLOQ).RESULTS:
After adjusting for covariates, women had (nonsignificantly) lower viral loads than men (HIV Insight -0.053 log(10) HIV-1 RNA copies/mL, P = 0.202; Athena -0.005 log(10) copies/mL, P = 0.667; Plum -0.072 log(10) copies/mL, P = 0.273). However, further investigation revealed that the gender effect depended on CD4 T-cell count. Women had consistently higher viral loads than men when CD4 T-cell counts were at most 50 cells/microL, and consistently lower viral loads than men when CD4 T-cell counts were greater than 350 cells/microL. These effects were remarkably consistent when estimated independently for the racial groups with sufficient data available in the HIV Insight and Plum databases.CONCLUSIONS:
The consistent relationship between gender-related differences in viral load and CD4 T-cell count demonstrated here explains the diverse findings previously published.
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Base de dados:
MEDLINE
Assunto principal:
Infecções por HIV
/
HIV-1
Idioma:
En
Ano de publicação:
2005
Tipo de documento:
Article