BACKGROUND: It is unknown if the CD4 cell count response differs according to antiretroviral drugs used in combination antiretroviral therapy (cART) in patients with maximal virological suppression [viral load (VL) < 50 copies/ml]. OBJECTIVES: To compare the change in CD4 cell count over consecutive measurements with VL < 50 copies/ml at both time-points according to nucleoside backbones and other antiretrovirals used. METHODS: Generalized linear models, accounting for multiple measurements within patients, were used to compare CD4 cell count changes after adjustment for antiretrovirals, time from starting cART, age, CD4 at first VL < 50 copies/ml, prior antiretroviral treatment, and change in CD4 cell count since starting cART. RESULTS: We studied 28418 instances of VL < 50 copies/ml in 4041 patients. The mean annual change in CD4 cell count was +45.5/microl [95% confidence interval (CI) +39.4 to +51.6/microl). Comparing two drug nucleoside backbones, there was a lower annual change in CD4 cell count for zidovudine/lamivudine (n = 13038; -15.4/microl; P = 0.012) and for those on tenofovir (n = 1809; -27.3/microl; P = 0.029) compared to lamivudine/stavudine (n = 7339). Compared to the boosted-protease inhibitor regimen (n = 5915), use of an abacavir-based triple-nucleoside regimen was associated with a lower annual change in CD4 cell count (n = 2504 pairs; -26.1/microl; P = 0.011). CONCLUSIONS: A nucleoside backbone of zidovudine/lamivudine or any tenofovir-based backbone was associated with significantly poorer increases in CD4 cell count compared to a nucleoside backbone of stavudine/lamivudine, as was an abacavir-based triple nucleoside regimen compared to a boosted protease inhibitor regimen. Long-term studies are needed to determine whether the differences in immunological response seen here translate into differences in the risk of clinical disease.
BACKGROUND: It is unknown if the CD4 cell count response differs according to antiretroviral drugs used in combination antiretroviral therapy (cART) in patients with maximal virological suppression [viral load (VL) < 50 copies/ml]. OBJECTIVES: To compare the change in CD4 cell count over consecutive measurements with VL < 50 copies/ml at both time-points according to nucleoside backbones and other antiretrovirals used. METHODS: Generalized linear models, accounting for multiple measurements within patients, were used to compare CD4 cell count changes after adjustment for antiretrovirals, time from starting cART, age, CD4 at first VL < 50 copies/ml, prior antiretroviral treatment, and change in CD4 cell count since starting cART. RESULTS: We studied 28418 instances of VL < 50 copies/ml in 4041 patients. The mean annual change in CD4 cell count was +45.5/microl [95% confidence interval (CI) +39.4 to +51.6/microl). Comparing two drug nucleoside backbones, there was a lower annual change in CD4 cell count for zidovudine/lamivudine (n = 13038; -15.4/microl; P = 0.012) and for those on tenofovir (n = 1809; -27.3/microl; P = 0.029) compared to lamivudine/stavudine (n = 7339). Compared to the boosted-protease inhibitor regimen (n = 5915), use of an abacavir-based triple-nucleoside regimen was associated with a lower annual change in CD4 cell count (n = 2504 pairs; -26.1/microl; P = 0.011). CONCLUSIONS: A nucleoside backbone of zidovudine/lamivudine or any tenofovir-based backbone was associated with significantly poorer increases in CD4 cell count compared to a nucleoside backbone of stavudine/lamivudine, as was an abacavir-based triple nucleoside regimen compared to a boosted protease inhibitor regimen. Long-term studies are needed to determine whether the differences in immunological response seen here translate into differences in the risk of clinical disease.
Authors: Nicole L De La Mata; Penh S Ly; Oon T Ng; Kinh V Nguyen; Tuti P Merati; Thuy T Pham; Man P Lee; Jun Y Choi; Annette H Sohn; Matthew G Law; Nagalingeswaran Kumarasamy Journal: Int J STD AIDS Date: 2017-03-21 Impact factor: 1.359
Authors: Carlo Torti; Antonella d'Arminio-Monforte; Anton L Pozniak; Giuseppe Lapadula; Giuliana Cologni; Andrea Antinori; Andrea De Luca; Cristina Mussini; Antonella Castagna; Paola Cicconi; Lorenzo Minoli; Andrea Costantini; Giampiero Carosi; Hua Liang; Bruno M Cesana Journal: BMC Infect Dis Date: 2011-01-25 Impact factor: 3.090
Authors: Reena Rajasuriar; Maelenn Gouillou; Tim Spelman; Tim Read; Jennifer Hoy; Matthew Law; Paul U Cameron; Kathy Petoumenos; Sharon R Lewin Journal: PLoS One Date: 2011-06-02 Impact factor: 3.240
Authors: Isabelle Poizot-Martin; Clotilde Allavena; Cyrille Delpierre; Claudine Duvivier; Véronique Obry-Roguet; Carla E Cano; Francine Guillouet de Salvador; David Rey; Pierre Dellamonica; Antoine Cheret; Lise Cuzin; Christine Katlama; André Cabié; Bruno Hoen Journal: Medicine (Baltimore) Date: 2016-10 Impact factor: 1.889