p24 as a predictor of mortality in a cohort of HIV-1-infected adults in rural Africa
Research output: Contribution to journal › Journal article › Research › peer-review
BACKGROUND: Implementation of antiretroviral treatment in sub-Saharan Africa requires efficient tools to monitor HIV patients. p24 measurements have been proposed as an alternative to HIV-RNA because of the low cost of reagents and equipment needed. Here, we evaluate p24 as a prognostic marker in a cohort of HIV-1-infected individuals in Zimbabwe.
METHODS: Treatment-naive HIV-1-infected individuals (n=198) from the Mupfure Schistosomiasis and HIV Cohort were followed until death or censoring (3-4.3 years). At baseline, p24, HIV-RNA, CD4 cell counts, and clinical staging (Centers for Disease Control and Prevention classification) were assessed.
RESULTS: p24 correlated with HIV-RNA (P<0.0001, R: 0.44). Ten percent of p24 but only 1% of HIV-RNA measurements was undetectable. p24 predicted Centers for Disease Control and Prevention category (P<0.001) stronger than CD4 count (P=0.34) in multivariate logistic regression. p24 predicted mortality in univariate Cox analysis (P<0.0001) and in multivariate analysis, but it was inferior to HIV-RNA and CD4 count.
CONCLUSIONS: This is the first study to evaluate the prognostic strength of p24 in an area with a predominance of HIV subtype C infections. p24 correlated with HIV-RNA and predicted clinical stage better than CD4 count. It predicted mortality in both univariate and multivariate analysis, but in multivariate analysis, it was inferior to HIV-RNA and CD4 count.
Original language | English |
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Journal | Journal of acquired immune deficiency syndromes (1999) |
Volume | 48 |
Issue number | 3 |
Pages (from-to) | 345-9 |
Number of pages | 5 |
ISSN | 1525-4135 |
DOIs | |
Publication status | Published - 1 Jul 2008 |
- Acquired Immunodeficiency Syndrome, Adult, Biomarkers, CD4 Lymphocyte Count, HIV Core Protein p24, HIV Infections, HIV-1, Humans, Predictive Value of Tests, Prognosis, RNA, Viral, Survival Analysis, Zimbabwe, Evaluation Studies, Journal Article, Research Support, Non-U.S. Gov't
Research areas
ID: 180571121