Clinical Correlation of the Immunological Markers of HIV Infection in Individuals From Thailand
- 1 April 1992
- journal article
- research article
- Published by Wolters Kluwer Health in AIDS
- Vol. 6 (4) , 393-398
- https://doi.org/10.1097/00002030-199204000-00006
Abstract
Objective To evaluate the usefulness of T-cell subsets, β2-microglobulin (β2M), p24 antigen and anti-p24 antibodies as differentiating and prognostic markers in HIV-infected Thai patients. Design Sixty-one HIV-infected patients in various stages of disease (six AIDS, three AIDS-related complex, 34 persistent generalized lymphadenopathy and 18 HIV-asymptomatic) were followed prospectively for 2 years. Patients were examined and immunological markers assessed every 6 months at least. Any HIV-related complications were treated symptomatically and clinical staging was re-evaluated at each visit. Due to financial constraints, none of the patients were given antiretroviral drugs. Methods T-cell subsets were enumerated by indirect immunofluorescence using OKT4 or OKT8 for T-helper and T-suppressor cells, respectively. β2M and p24 antigen were quantified by enzyme-linked immunosorbent assay and anti-p24 antibodies were by immunoblot assay. Results Our preliminary study revealed that the decrease in CD4+ T-cells or anti-p24 litre and the increase in p24 antigen or β2M correlated well with disease staging as defined by the Centers for Disease Control. Absolute number and percentage of CD4+ T-cells, absolute number of CD8+ T-cells, β2M level and p24 antigen and anti-p24 antibody levels at entry could be used as reliable prognostic markers for HIV progression. The combination of p24 antigen with the number of CD4+ T-cells substantially increased the prognostic value, compared with either used alone. Conclusions The annual rate of clinical progression from asymptomatic to symptomatic HIV infection in our study was 6.8%. The results we obtained in this preliminary study may be used as baseline data for planning future therapeutic interventions in Asian patients.Keywords
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