Comparison of viral load and human leukocyte antigen statistical and neural network predictive models for the rate of HIV-1 disease progression across two cohorts of homosexual men
Article Abstract:
Predictive models of HIV progression using viral load values are superior to models using human leukocyte antigen (HLA) markers in identifying patients likely to develop AIDS symptoms rapidly. Researchers analyzed data from 236 HIV patients to test statistical and neural network models of disease progression. Patients with 1,000 viral copies/ml of serum had more favorable HLA profiles than patients with 10,000 viral copies/ml. The addition of HLA markers to the viral load models did not significantly improve the accuracy of the models in developing disease prognoses.
Publication Name: Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology
Subject: Health
ISSN: 1077-9450
Year: 1999
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Distinctive effects of CCR5, CCR2, and SDF1 genetic polymorphisms in AIDS progression
Article Abstract:
Gene mutations in the cell receptors CCR5 and CCR2 appear to be linked to slow progression of HIV infection. Researchers analyzed gene mutations in the CCR5 and CCR2 cell receptors in 290 HIV-infected people, of whom 200 were non-progressors or slow progressors and 90 were fast progressors. Slow or non-progressors were more likely to have the ccr5-delta32 gene mutation than fast progressors. Slow or non-progressors who did not have a CCR5 mutation were more likely to have a CCR2 mutation.
Publication Name: Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology
Subject: Health
ISSN: 1077-9450
Year: 1998
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