Literature DB >> 7546418

The predictive value of changes in serologic and cell markers of HIV activity for subsequent clinical outcome in patients with asymptomatic HIV disease treated with zidovudine.

M A Jacobson1, V De Gruttola, M Reddy, J M Arduino, S Strickland, R C Reichman, J A Bartlett, J P Phair, M S Hirsch, A C Collier.   

Abstract

OBJECTIVE: To determine if serologic marker responses to zidovudine treatment during the first year of antiretroviral therapy could predict subsequent HIV disease progression independently of absolute CD4 lymphocyte responses.
METHODS: We conducted a case-control study in patients with asymptomatic HIV disease, who were initiating zidovudine therapy in a randomized, prospective trial. A total of 102 patients who progressed to AIDS or advanced AIDS-related complex and 177 randomly selected controls matched by baseline CD4 cell count and duration of follow-up had serum samples (from prior to and at 8, 16, 32 and 48 weeks of zidovudine treatment) assayed for acid-disassociated HIV p24 antigen, beta 2-microglobulin (beta 2M), neopterin, soluble interleukin (IL)-2 receptor, soluble CD4 protein and soluble CD8 protein.
RESULTS: Median time to event for cases was 20.2 months; median follow-up on study was 35.4 months for controls. After controlling for absolute CD4 count at baseline, increased baseline serum concentrations of HIV p24 antigen, beta 2M, neopterin, and soluble IL-2 receptor were highly predictive of increased risk of HIV disease progression. In a multiple logistic regression model, controlling for baseline marker values, change in beta 2M consistently added independent value to change in CD4 count in predicting subsequent risk of disease progression.
CONCLUSIONS: Monitoring serum immunologic markers, in particular beta 2M, in addition to absolute CD4 lymphocyte counts prior to and within the first 4 months after initiating dideoxynucleoside therapy can increase the accuracy of estimations of subsequent long-term risk of clinical HIV disease progression. This information may be useful to clinicians and patients who are making decisions about initiating or changing antiretroviral therapy.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7546418     DOI: 10.1097/00002030-199507000-00010

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  1 in total

1.  Strategies for cohort sampling under the Cox proportional hazards model, application to an AIDS clinical trial.

Authors:  S Kim; V De Gruttola
Journal:  Lifetime Data Anal       Date:  1999-06       Impact factor: 1.588

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.