475-M.

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Initial CD4+ T-Cell Counts in Patients with Newly Diagnosed HIV Infection Indicate that a Substantial Proportion of these Patients Have Advanced Disease Regardless of Gender, Race, or Socio-Economic Status
M. Dybul*1, R. Bolan2, D. Condoluci3, R. Cox-Iyamu4, R. Redfield5, C. Hallahan1, K. Sathasivam4, M. Folino3, M. Weisberg2, M. Andrews3, B. Hidalgo1, J. Vasquez1, and A. S. Fauci1
1NIAID, NIH, Bethesda, MD; 2Jeffrey Goodman Special Care Program, Glendale, CA; 3Garden State Infectious Disease Associates, Voorhes, NJ; 4Whitman Walker Clin., Washington, DC; and 5Inst. of Human Virology, Baltimore, MD
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Background: CD4+ T-cell counts are a significant determinant of the stage of disease progression and prognosis in HIV-infected individuals. Thus, a diagnosis of HIV infection at a relatively high CD4+ T-cell count may be important for managing patients with regard to treatment decisions, which may ultimately impact prognosis.
Methods: Initial CD4+ T-cell counts of individuals with newly diagnosed HIV infection in 1999 or 2000 were mined from computer files of 4 clinics in urban settings. The data were further analyzed by gender, race, and socio-economic status.
Results: The demographics of the patients were: 73% male, 27% female, 59% black, 29% white, 12% latino, 74% receiving public assistance for healthcare and 26% with private health insurance. 57% of 2223 individuals with newly diagnosed HIV infection had a CD4+ T-cell count < 350 cells/mm3 and 36% had a CD4+ T-cell count < 200 cells/mm3. There were no clear statistical differences in these parameters by gender, race, or socio-economic status.
Conclusions: A majority of HIV-infected individuals in community settings had relatively advanced HIV disease at the time of diagnosis. Approximately 40% of these individuals were diagnosed simultaneously with HIV infection and AIDS, as determined by CD4+ T-cell count. Enhanced educational efforts regarding the importance of HIV testing for at-risk individuals across gender, race, and socio-economic strata in community settings may be important to identify HIV-individuals earlier in infection. This in turn could influence treatment decisions that could impact on the prognosis of patients who receive antiretroviral therapy.
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