A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy.

Revell, A D; Boyd, M A; Wang, D; Emery, S; Gazzard, B; Reiss, P; van Sighem, A I; Montaner, J S; Lane, H C; Larder, B A

Revell, A D; Boyd, M A; Wang, D; Emery, S; Gazzard, B; Reiss, P; van Sighem, A I; Montaner, J S; Lane, H C; Larder, B A.

Affiliation

Revell AD; The HIV Resistance Response Database Initiative (RDI), London, UK.

HIV Med ; 15(7): 442-8, 2014 Aug.

Article in En | MEDLINE | ID: mdl-24735474

Subject(s)

Anti-HIV Agents/therapeutic use; Computer Simulation; HIV Infections/drug therapy; HIV/genetics; Adult; CD4 Lymphocyte Count; Female; Genotype; HIV/drug effects; HIV Infections/virology; Humans; Male; Middle Aged; Models, Biological; Predictive Value of Tests; Retrospective Studies; Reverse Transcriptase Inhibitors/therapeutic use; Viral Load

Key words

HIV; antiretroviral; computational model; genotype; response prediction

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Full text: 1 Database: MEDLINE Main subject: Computer Simulation / HIV Infections / HIV / Anti-HIV Agents Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Year: 2014 Type: Article

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