Literature DB >> 1676279

CD4% is the best predictor of development of AIDS in a cohort of HIV-infected homosexual men.

J Burcham1, M Marmor, N Dubin, B Tindall, D A Cooper, G Berry, R Penny.   

Abstract

To determine the relationships between individuals' baseline T-cell subsets, their rates of change with time, and AIDS-free survival time, data were collected at 6-monthly intervals from 379 HIV-seropositive homosexual Sydney men, of whom 31 developed AIDS during the 3-year observation period. Both CD4% and rate of change of CD4% in an individual had significant prognostic value in determining AIDS-free survival time. Compared with subjects whose CD4% remained stable, subjects whose CD4% dropped by 7% or more in a year had a relative hazard of 35.1 (95% confidence interval = 11.7-105.6, P less than 0.001) of developing AIDS. Increasing CD4% had a significant protective effect, reducing the risk of developing AIDS. CD4%, CD4 cell count and CD4: CD8 ratios showed steeper declines in subjects who were later diagnosed with AIDS than in those who remained AIDS-free. The rates of immunological change in AIDS-free seroconverters and seropositives were similar, despite indeterminate differences in durations of infections. In the multivariate Cox regression analysis, baseline CD4%, the rate of change of CD4%, and baseline lymphocyte count were associated with AIDS-free survival time. Baseline CD4% had greater prognostic value than baseline CD4 cell count. Baseline CD8%, baseline CD8 count, their rates of change and their mean square errors were not independently significant in this analysis. These findings are important for clinicians monitoring HIV infection in an individual and for entry criteria and monitoring procedures in clinical trials. They also have implications for resource-poor settings; prognosis based on CD4% can be made with a flow cytometer without a full blood count.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1991        PMID: 1676279     DOI: 10.1097/00002030-199104000-00002

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


  17 in total

1.  Quantitative trait loci on chromosomes 1, 2, 3, 4, 8, 9, 11, 12, and 18 control variation in levels of T and B lymphocyte subpopulations.

Authors:  M A Hall; P J Norman; B Thiel; H Tiwari; A Peiffer; R W Vaughan; S Prescott; M Leppert; N J Schork; J S Lanchbury
Journal:  Am J Hum Genet       Date:  2002-04-09       Impact factor: 11.025

2.  When should asymptomatic patients with HIV infection be treated with zidovudine?

Authors:  B G Gazzard
Journal:  BMJ       Date:  1992-02-22

3.  Misclassification of first-line antiretroviral treatment failure based on immunological monitoring of HIV infection in resource-limited settings.

Authors:  Rami Kantor; Lameck Diero; Allison Delong; Lydia Kamle; Sarah Muyonga; Fidelis Mambo; Eunice Walumbe; Wilfred Emonyi; Philip Chan; E Jane Carter; Joseph Hogan; Nathan Buziba
Journal:  Clin Infect Dis       Date:  2009-08-01       Impact factor: 9.079

4.  The UK register of HIV seroconverters: methods and analytical issues. UK register of HIV seroconverters (UKRHS) Steering Committee.

Authors: 
Journal:  Epidemiol Infect       Date:  1996-10       Impact factor: 2.451

5.  Viral load, CD4 percentage, and delayed-type hypersensitivity in subjects receiving the HIV-1 immunogen and antiviral drug therapy.

Authors:  R B Moss; F Ferre; A Levine; J Turner; F C Jensen; A E Daigle; S P Richieri; A Truckenbrod; R J Trauger; D J Carlo; J Salk
Journal:  J Clin Immunol       Date:  1996-09       Impact factor: 8.317

6.  HIV exceptionalism, CD4+ cell testing, and conscientious subversion.

Authors:  L A Jansen
Journal:  J Med Ethics       Date:  2005-06       Impact factor: 2.903

7.  Effect of BMI and fat mass on HIV disease progression in HIV-infected, antiretroviral treatment-naïve adults in Botswana.

Authors:  S S Martinez; A Campa; H Bussmann; S Moyo; J Makhema; F G Huffman; O D Williams; M Essex; R Marlink; M K Baum
Journal:  Br J Nutr       Date:  2016-04-18       Impact factor: 3.718

8.  Discordance between CD4+ T-lymphocyte counts and percentages in HIV-infected persons with liver fibrosis.

Authors:  Cassidy W Claassen; Marie Diener-West; Shruti H Mehta; David L Thomas; Gregory D Kirk
Journal:  Clin Infect Dis       Date:  2012-03-28       Impact factor: 9.079

Review 9.  Lymphocyte subsets as prognostic markers for cancer patients receiving immunomodulative therapy.

Authors:  M Hernberg
Journal:  Med Oncol       Date:  1999-09       Impact factor: 3.064

10.  Laboratory control values for CD4 and CD8 T lymphocytes. Implications for HIV-1 diagnosis.

Authors:  M Bofill; G Janossy; C A Lee; D MacDonald-Burns; A N Phillips; C Sabin; A Timms; M A Johnson; P B Kernoff
Journal:  Clin Exp Immunol       Date:  1992-05       Impact factor: 4.330

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