Literature DB >> 8892493

Factors associated with the CD4+ lymphocyte count at diagnosis of acquired immunodeficiency syndrome. The AIDS IN EUROPE Study Group.

A N Phillips1, A Lazzarin, J Gonzales-Lahoz, N Clumeck, M P Glauser, R Proenca, D Banhegyi, C Pedersen, J D Lundgren, A M Johnson.   

Abstract

To assess which factors are associated with the CD4+ lymphocyte count at the time of AIDS diagnosis we studied 3046 patients in the AIDS IN EUROPE study who were diagnosed with AIDS in 1 of 17 European countries between 1979 and 1989 and for whom the CD4 count at AIDS diagnosis was known. Data were extracted retrospectively from patient case notes, using a standardized form. There was a wide range of average CD4+ lymphocyte counts at AID diagnosis, according to which diseases were present at diagnosis. The highest geometric mean CD4+ lymphocyte counts at AIDS diagnosis were associated with the diagnosis of extrapulmonary tuberculosis, Kaposi's sarcoma, and non-Hodgkin's lymphoma while the lowest counts were found when histoplasmosis and cytomegalovirus (CMV) retinitis were present. There were no appreciable differences between CD4+ lymphocyte counts at AIDS in patients according to the three major transmission route categories (sex, age, or region of diagnosis) but there was a marked trend (p < 0.005) toward lower CD4+ lymphocyte counts at AIDS diagnosis in more recent years. These associations remained largely unchanged after adjustment for other factors.

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Year:  1996        PMID: 8892493     DOI: 10.1016/s0895-4356(96)00216-8

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  Factors associated with the time elapsed between the initial detection of HIV-1 antibodies and a diagnosis of AIDS among patients followed in Lyons University Hospitals. CISIH Collaborators.

Authors:  P Vanhems; D Baratin; R Allard; E Marceillac; F Biron; L Cotte; T Saint-Marc
Journal:  Sex Transm Infect       Date:  1999-12       Impact factor: 3.519

Review 2.  Can we predict the prognosis of HIV infection? How to use the findings of a prospective study.

Authors:  N Low; M Egger
Journal:  Sex Transm Infect       Date:  1998-04       Impact factor: 3.519

  2 in total

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