UNLABELLED: The aim of this study was to assess the predictive value of HIV RNA levels after 1 month of therapy on the long-term virologic outcome in an unselected general population of HIV-infected patients. DESIGN: Analysis was conducted retrospectively on an ongoing clinical cohort of HIV-positive patients who were receiving antiretroviral treatment. Data on 575 patients were analyzed. RESULTS: The HIV RNA value at 1 month was significantly correlated with the virologic outcome after 12 and 24 months of therapy (R = 0.258 and R = 0.44, respectively). The predictive value of the 1-month viral load was also statistically significant after stratification for baseline CD4 T-cell counts. Prediction was similar in highly compromised patients (CD4 < or = 100 cells/microl; R = 0.426; p = .001) or in patients with a better immunologic status (R = 0.419; p < .0001). It retained validity in patients who were naive or experienced for antiretroviral therapy. CONCLUSION: HIV RNA level after 1 month of therapy is a useful prognostic marker in HIV-infected patients. It predicts long-term virologic and immunologic outcome. A cutoff level of 5000 copies/ml identifies patients most likely to fail current therapy. In these patients, a more aggressive strategy or specific diagnostic interventions to clarify the relative influence of viral resistance and/or subtherapeutic regimens is advised.
UNLABELLED: The aim of this study was to assess the predictive value of HIV RNA levels after 1 month of therapy on the long-term virologic outcome in an unselected general population of HIV-infectedpatients. DESIGN: Analysis was conducted retrospectively on an ongoing clinical cohort of HIV-positivepatients who were receiving antiretroviral treatment. Data on 575 patients were analyzed. RESULTS: The HIV RNA value at 1 month was significantly correlated with the virologic outcome after 12 and 24 months of therapy (R = 0.258 and R = 0.44, respectively). The predictive value of the 1-month viral load was also statistically significant after stratification for baseline CD4 T-cell counts. Prediction was similar in highly compromised patients (CD4 < or = 100 cells/microl; R = 0.426; p = .001) or in patients with a better immunologic status (R = 0.419; p < .0001). It retained validity in patients who were naive or experienced for antiretroviral therapy. CONCLUSION: HIV RNA level after 1 month of therapy is a useful prognostic marker in HIV-infectedpatients. It predicts long-term virologic and immunologic outcome. A cutoff level of 5000 copies/ml identifies patients most likely to fail current therapy. In these patients, a more aggressive strategy or specific diagnostic interventions to clarify the relative influence of viral resistance and/or subtherapeutic regimens is advised.
Authors: C William Wester; Ann Muir Thomas; Hermann Bussmann; Sikhulile Moyo; Joseph M Makhema; Tendani Gaolathe; Vladimir Novitsky; Max Essex; Victor deGruttola; Richard G Marlink Journal: AIDS Date: 2010-01 Impact factor: 4.177
Authors: C William Wester; John R Koethe; Bryan E Shepherd; Samuel E Stinnette; Peter F Rebeiro; Aaron M Kipp; Hwanhee Hong; Hermann Bussmann; Tendani Gaolathe; Catherine C McGowan; Timothy R Sterling; Richard G Marlink Journal: AIDS Date: 2011-07-31 Impact factor: 4.177
Authors: Vincent C Marconi; Greg Grandits; Jason F Okulicz; Glenn Wortmann; Anuradha Ganesan; Nancy Crum-Cianflone; Michael Polis; Michael Landrum; Matthew J Dolan; Sunil K Ahuja; Brian Agan; Hemant Kulkarni Journal: PLoS One Date: 2011-05-20 Impact factor: 3.240
Authors: Debra A Benator; Angelo Elmi; Manuel D Rodriguez; Howard B Gale; Virginia L Kan; Heather J Hoffman; Susan Tramazzo; Karen Hall; Angela McKnight; Leah Squires Journal: AIDS Behav Date: 2015-04