HIV Infection, Antiretroviral Therapy, and CD4 + Cell Count Distributions in African Populations
October 27, 2006
Brian Williams of the World Health Organization's Stop TB Department and colleagues developed a mathematical model that aimed to predict the distribution of CD4+ T cell counts in HIV-positive adults across Africa using the distribution of CD4+ T cell counts in HIV-negative adults. Working under the assumption that survival is unrelated to CD4+ T cell counts before HIV seroconversion, the researchers predicted that HIV-positive Zambians with CD4+ T cell counts of 200 would have a median life expectancy of four years, 1.7 times that of HIV-positive South Africans' life expectancy of 2.3 years with the same CD4+ T cell count. According to researchers, the mathematical model "provides a way to estimate the changing distribution of CD4+ T cell counts and, hence, the changing incidence of HIV-related opportunistic infections as the epidemic matures." The researchers said that the study could "substantially improve" the development of health care services, including the need and demand for antiretroviral therapy. They also wrote that clearer data are needed to assess the study model and its theories and to fully understand the variability in CD4+ T cell counts within and among various groups (Williams et al., Journal of Infectious Diseases, 10/3).
Association of Herpes Simplex Virus Type 2 Infection and Syphilis With HIV Infection Among Men Who Have Sex With Men in Peru
This article was provided by Henry J. Kaiser Family Foundation. It is a part of the publication Kaiser Daily HIV/AIDS Report. Visit the Kaiser Family Foundation's website to find out more about their activities, publications and services.