Phenotype or virtual phenotype for choosing antiretroviral therapy after failure: a prospective, randomized study

• Published in: Antiviral therapy 2003-12, Vol.8 (6), p.577-584
• Main Authors: PEREZ-ELIAS, Maria Jesus, GARCIA-ARATA, Isabel, ANTELA, Antonio, PUMARES, Maria, MARTI-BELDA, Paloma, CASADO, Jose L, GEIJO, Paloma, MORENO, Santiago, MUNOZ, Vicente, SANTOS, Ignacio, SANZ, José, ABRAIRA, Victor, ARRIBAS, José R, GONZALEZ, Juan, MORENO, Ana, DRONDA, Fernando
• Format: Article
• Language: English
• Subjects: Adult; Anti-HIV Agents - therapeutic use; Antibacterial agents; Antibiotics. Antiinfectious agents. Antiparasitic agents; Biological and medical sciences; Double-Blind Method; Drug Resistance, Viral; Female; Genotype; HIV - classification; HIV - genetics; HIV Infections - drug therapy; HIV Infections - virology; Humans; Male; Medical sciences; Middle Aged; Pharmacology. Drug treatments; Phenotype; Prospective Studies; Treatment Failure
• ISSN: 1359-6535; 2040-2058
• DOI: 10.1177/135965350300800604

Resistance testing is useful in the management of virological failure patients, although the best method to be used in clinical practice has not been determined. A prospective, randomized, double-blind, multicentre, controlled clinical trial was performed to compare the usefulness of drug resistance testing with a recombinant viral phenotype method or with a virtual phenotype, a genotyping interpretation system. Planned 300 HIV-infected adults failing their current antiretroviral therapy (HIV RNA > 1000 copies/ml) were centrally randomized 1:1 to resistance testing with a recombinant viral phenotype method or with a virtual phenotype, after stratifying according to previous drug exposure (one or two versus three drug classes). Percent of patients with HIV RNA suppression (% < 400 copies/ml) after 24 weeks was the primary outcome variable. Median HIV RNA concentration and change from baseline in HIV RNA concentration were also used to compare effectiveness. An extended analysis was performed at week 48. Of the 300 patients enrolled, a total of 276 patients could be analysed; 139 patients were randomized to the phenotype group and 137 patients were randomized to the virtual phenotype group. After 24 weeks of follow-up, 46.8 and 56.2% of patients had HIV RNA < 400 copies/ml (P = 0.1) in the phenotype and virtual phenotype, respectively. Mean decrease from baseline in viral load was 1.0 and 1.3 log copies/ml in the phenotype and virtual phenotype groups, respectively (P = 0.017). In a multivariate linear regression analysis, after adjusting for baseline HIV RNA and adherence to treatment, the virtual phenotype was associated with a greater mean decrease in plasma HIV RNA (P = 0.0063). The results observed at week 48 were similar. Virtual phenotype is at least as effective as phenotype when used to select an optimized treatment for patients who have failed one or more antiretroviral regimens.