Literature DB >> 1674418

Applications of a computer simulation model of the natural history of CD4 T-cell number in HIV-infected individuals.

J M Taylor1, S J Tan, R Detels, J V Giorgi.   

Abstract

Data from the Multicenter AIDS Cohort Study (MACS) of 1637 gay men, recruited in 1984 and 1985 in Los Angeles and followed at 6-monthly intervals, are used to develop a computer simulation model of the typical pattern of CD4 T-cell number changes in HIV-infected AIDS-free subjects. The empirical model incorporates the following features: (1) within-person and between-person variability in CD4 measurements; (2) variation in the rates of decline of CD4 values; (3) variation in the level of CD4 at which clinical AIDS is diagnosed, and (4) greater absolute variation in CD4 values in men with high CD4 levels compared with men with low CD4 values. Three applications of the model to assist in the design and interpretation of clinical trials are given. Further applications to clinical trials and to estimate the current and future spectrum of HIV-mediated immunological disease in the USA, as measured by the CD4 values, are discussed.

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Year:  1991        PMID: 1674418     DOI: 10.1097/00002030-199102000-00005

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


  6 in total

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

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

2.  A haplotype of the human CXCR1 gene protective against rapid disease progression in HIV-1+ patients.

Authors:  A Vasilescu; Y Terashima; M Enomoto; S Heath; V Poonpiriya; H Gatanaga; H Do; G Diop; T Hirtzig; P Auewarakul; D Lauhakirti; T Sura; P Charneau; S Marullo; A Therwath; S Oka; S Kanegasaki; M Lathrop; K Matsushima; J-F Zagury; F Matsuda
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-21       Impact factor: 11.205

3.  Preventive medicine for HIV-infected patients: an analysis of isoniazid prophylaxis for tuberculin reactors and for anergic patients.

Authors:  D N Rose; C B Schechter; H S Sacks
Journal:  J Gen Intern Med       Date:  1992 Nov-Dec       Impact factor: 5.128

4.  Normal Range of CD4 Cell Counts and Temporal Changes in Two HIVNegative Malawian Populations.

Authors:  A C Crampin; F D Mwaungulu; L R Ambrose; H Longwe; N French
Journal:  Open AIDS J       Date:  2011-08-10

5.  Switch from 200 to 350 CD4 baseline count: what it means to HIV care and treatment programs in Kenya.

Authors:  Joseph Mwangi; Zipporah Nganga; Raphael Lihana; Nancy Lagat; Joyceline Kinyua; Joseph Muriuki; Alex Maiyo; Florence Kinyua; Fredrick Okoth; Solomon Mpoke
Journal:  Pan Afr Med J       Date:  2012-07-23

6.  Clinical prognostic value of RNA viral load and CD4 cell counts during untreated HIV-1 infection--a quantitative review.

Authors:  Eline L Korenromp; Brian G Williams; George P Schmid; Christopher Dye
Journal:  PLoS One       Date:  2009-06-17       Impact factor: 3.240

  6 in total

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