OBJECTIVE: To compare the clinical, immunologic, and virologic outcomes of efavirenz (EFV)-based versus protease inhibitor (PI)-based highly active antiretroviral therapy (HAART) in severely immunosuppressed HIV-1-infected patients. DESIGN: Retrospective observational cohort study. METHODS: Responses were analyzed according to the intent-to-treat principle among antiretroviral-naive patients with < 100 CD4 cells/muL who started EFV (n = 92) or a PI (n = 218) plus 2 nucleoside reverse transcriptase inhibitors. The primary end point was time to treatment failure. Secondary end points were percentage of patients with a viral load < 400 copies/mL, time to virologic failure, time to CD4 lymphocyte count > 200 cells/microL, and incidence of opportunistic events or death. RESULTS: The median baseline CD4 cell count and viral load were 34 cells/microL and 5.54 log10 copies/mL (EFV group) and 38 cells/microL and 5.40 log10 copies/mL (PI group). Time to treatment failure was shorter with a PI-based regimen than with an EFV-based regimen (adjusted relative hazard [RH] = 2.19, 95% confidence interval [CI]: 1.23-3.89). After 12 months of therapy, a significantly higher proportion of patients receiving EFV reached a viral load < 400 copies/mL (69.4 vs. 45.1%; P < 0.05). The probability of virologic failure was higher with a PI than with EFV (adjusted HR = 2.52, 95% CI: 1.14-5.61; P = 0.024). There was no difference in time to CD4 cell count > 200 cells/microL or in incidence of opportunistic events or death. CONCLUSION: : In severely immunosuppressed, antiretroviral-naive, HIV-1-infected patients, treatment with an EFV-based regimen compared with a nonboosted PI-based regimen resulted in a superior virologic response with no difference in immunologic or clinical effectiveness.
OBJECTIVE: To compare the clinical, immunologic, and virologic outcomes of efavirenz (EFV)-based versus protease inhibitor (PI)-based highly active antiretroviral therapy (HAART) in severely immunosuppressed HIV-1-infectedpatients. DESIGN: Retrospective observational cohort study. METHODS: Responses were analyzed according to the intent-to-treat principle among antiretroviral-naive patients with < 100 CD4 cells/muL who started EFV (n = 92) or a PI (n = 218) plus 2 nucleoside reverse transcriptase inhibitors. The primary end point was time to treatment failure. Secondary end points were percentage of patients with a viral load < 400 copies/mL, time to virologic failure, time to CD4 lymphocyte count > 200 cells/microL, and incidence of opportunistic events or death. RESULTS: The median baseline CD4 cell count and viral load were 34 cells/microL and 5.54 log10 copies/mL (EFV group) and 38 cells/microL and 5.40 log10 copies/mL (PI group). Time to treatment failure was shorter with a PI-based regimen than with an EFV-based regimen (adjusted relative hazard [RH] = 2.19, 95% confidence interval [CI]: 1.23-3.89). After 12 months of therapy, a significantly higher proportion of patients receiving EFV reached a viral load < 400 copies/mL (69.4 vs. 45.1%; P < 0.05). The probability of virologic failure was higher with a PI than with EFV (adjusted HR = 2.52, 95% CI: 1.14-5.61; P = 0.024). There was no difference in time to CD4 cell count > 200 cells/microL or in incidence of opportunistic events or death. CONCLUSION: : In severely immunosuppressed, antiretroviral-naive, HIV-1-infectedpatients, treatment with an EFV-based regimen compared with a nonboosted PI-based regimen resulted in a superior virologic response with no difference in immunologic or clinical effectiveness.
Authors: Allison L Agwu; George K Siberry; Jonathan Ellen; John A Fleishman; Richard Rutstein; Aditya H Gaur; P Todd Korthuis; Robert Warford; Stephen A Spector; Kelly A Gebo Journal: J Adolesc Health Date: 2011-11-04 Impact factor: 5.012
Authors: Allison Agwu; Jane C Lindsey; Kimberly Ferguson; Haili Zhang; Stephen Spector; Bret J Rudy; Stuart C Ray; Steven D Douglas; Patricia M Flynn; Deborah Persaud Journal: AIDS Patient Care STDS Date: 2008-07 Impact factor: 5.078
Authors: A Antinori; A Ammassari; C Torti; P Marconi; M Andreoni; G Angarano; S Bonora; A Castagna; R Cauda; M Clerici; A d'Arminio Monforte; A De Luca; G Di Perri; M Galli; E Girardi; A Gori; A Lazzarin; S Lo Caputo; F Mazzotta; F Montella; C Mussini; C F Perno; M Puoti; G Rizzardini; S Rusconi; V Vullo; G Carosi Journal: Infection Date: 2009-05-28 Impact factor: 3.553
Authors: Michael J Mugavero; Margaret May; Ross Harris; Michael S Saag; Dominique Costagliola; Matthias Egger; Andrew Phillips; Huldrych F Günthard; Francois Dabis; Robert Hogg; Frank de Wolf; Gerd Fatkenheuer; M John Gill; Amy Justice; Antonella D'Arminio Monforte; Fiona Lampe; Jose M Miró; Schlomo Staszewski; Jonathan A C Sterne Journal: AIDS Date: 2008-11-30 Impact factor: 4.177
Authors: Jialun Zhou; N Kumarasamy; Rossana Ditangco; Adeeba Kamarulzaman; Christopher K C Lee; Patrick C K Li; Nicholas I Paton; Praphan Phanuphak; Sanjay Pujari; Asda Vibhagool; Wing-Wai Wong; Fujie Zhang; John Chuah; Kevin R Frost; David A Cooper; Matthew G Law Journal: J Acquir Immune Defic Syndr Date: 2005-02-01 Impact factor: 3.771