OBJECTIVE: To examine whether the levels of plasma RNA and DNA provirus predict the rate of CD4 cell decline and patient death. DESIGN: Retrospective analysis of HIV-2 cohort subjects. METHODS: Fifty-two subjects were recruited between January 1991 and December 1992. HIV-2 RNA levels in plasma and DNA levels in peripheral blood mononuclear cells (PBMC) were measured using in-house quantitative PCR assays. The annual rate of CD4 cell decline was calculated using the least-squares method. The survival data on 31 December 1997 were used. RESULTS: The mean percentage of CD4 cells at baseline was 30.7 (SD, 9.5). In a linear regression model, the annual rate of CD4 cell decline was 1.76 CD4% faster for every increase in one log10 RNA copies/ml [95% confidence interval (CI), 0.81-2.7; P = 0.0006; r = 0.46; n = 52] and 1.76 CD4% faster for every increase in log10 DNA copies/10(5) PBMC (95% CI 0.46-3.1; P = 0.01; r = 0.33; n = 42). In a multiple linear regression model, RNA load was related to CD4 decline independently of DNA load (P = 0.02). The overall mortality rate was 7.29/100 person-years. In a Cox regression model, the hazard rate increased by 2.12 for each log10 increase in RNA load (95% CI, 1.3-3.5; P = 0.0023) but only by 1.09 for each log10 increase in DNA load (95% CI, 0.64-1.87; P = 0.8). CONCLUSION: This longitudinal study shows for the first time that a baseline HIV-2 RNA load predicts the rate of disease progression. HIV-2-infected patients with a high viral load may need to be treated as vigorously as HIV-1 patients.
OBJECTIVE: To examine whether the levels of plasma RNA and DNA provirus predict the rate of CD4 cell decline and patientdeath. DESIGN: Retrospective analysis of HIV-2 cohort subjects. METHODS: Fifty-two subjects were recruited between January 1991 and December 1992. HIV-2 RNA levels in plasma and DNA levels in peripheral blood mononuclear cells (PBMC) were measured using in-house quantitative PCR assays. The annual rate of CD4 cell decline was calculated using the least-squares method. The survival data on 31 December 1997 were used. RESULTS: The mean percentage of CD4 cells at baseline was 30.7 (SD, 9.5). In a linear regression model, the annual rate of CD4 cell decline was 1.76 CD4% faster for every increase in one log10 RNA copies/ml [95% confidence interval (CI), 0.81-2.7; P = 0.0006; r = 0.46; n = 52] and 1.76 CD4% faster for every increase in log10 DNA copies/10(5) PBMC (95% CI 0.46-3.1; P = 0.01; r = 0.33; n = 42). In a multiple linear regression model, RNA load was related to CD4 decline independently of DNA load (P = 0.02). The overall mortality rate was 7.29/100 person-years. In a Cox regression model, the hazard rate increased by 2.12 for each log10 increase in RNA load (95% CI, 1.3-3.5; P = 0.0023) but only by 1.09 for each log10 increase in DNA load (95% CI, 0.64-1.87; P = 0.8). CONCLUSION: This longitudinal study shows for the first time that a baseline HIV-2 RNA load predicts the rate of disease progression. HIV-2-infectedpatients with a high viral load may need to be treated as vigorously as HIV-1patients.
Authors: Ming Chang; Katrin Steinmetzer; Dana N Raugi; Robert A Smith; Selly Ba; Fatima Sall; Moussa Seydi; Alassane Niang; ElHadji Ibrahima Sall; Ousseynou Cisse; Katja Rödel; Robert W Coombs; Geoffrey S Gottlieb Journal: J Clin Virol Date: 2017-10-24 Impact factor: 3.168
Authors: Geoffrey S Gottlieb; Ndeye Mery Dia Badiane; Stephen E Hawes; Louise Fortes; Macoumba Toure; Cheikh T Ndour; Alison K Starling; Fatou Traore; Fatima Sall; Kim G Wong; Stephen L Cherne; Donovan J Anderson; Stefanie A Dye; Robert A Smith; James I Mullins; Nancy B Kiviat; Papa Salif Sow Journal: Clin Infect Dis Date: 2009-02-15 Impact factor: 9.079
Authors: Florence Damond; Marie Gueudin; Sophie Pueyo; Isabelle Farfara; David L Robertson; Diane Descamps; Geneviève Chène; Sophie Matheron; Pauline Campa; Françoise Brun-Vézinet; François Simon Journal: J Clin Microbiol Date: 2002-10 Impact factor: 5.948
Authors: Melody G Duvall; Melissa L Precopio; David A Ambrozak; Assan Jaye; Andrew J McMichael; Hilton C Whittle; Mario Roederer; Sarah L Rowland-Jones; Richard A Koup Journal: Eur J Immunol Date: 2008-02 Impact factor: 5.532
Authors: Jamil S Saad; Sherimay D Ablan; Ruba H Ghanam; Andrew Kim; Kalola Andrews; Kunio Nagashima; Ferri Soheilian; Eric O Freed; Michael F Summers Journal: J Mol Biol Date: 2008-07-16 Impact factor: 5.469