Ledergerber Bruno, Lundgren Jens D, Walker A Sarah, Sabin Caroline, Justice Amy, Reiss Peter, Mussini Cristina, Wit Ferdinand, d'Arminio Monforte Antonella, Weber Rainer, Fusco Gregory, Staszewski Schlomo, Law Matthew, Hogg Robert, Lampe Fiona, Gill M John, Castelli Francesco, Phillips Andrew N
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland.
Lancet. 2004;364(9428):51-62. doi: 10.1016/S0140-6736(04)16589-6.
Treatment strategies for patients in whom HIV replication is not suppressed after exposure to several drug classes remain unclear. We aimed to assess the inter-relations between viral load, CD4-cell count, and clinical outcome in patients who had experienced three-class virological failure.
We undertook collaborative joint analysis of 13 HIV cohorts from Europe, North America, and Australia, involving patients who had had three-class virological failure (viral load >1000 copies per mL for >4 months). Regression analyses were used to quantify the associations between CD4-cell-count slope, HIV-1 RNA concentration, treatment information, and demographic characteristics. Predictors of death were analysed by Cox's proportional-hazards models.
2488 patients were included. 2118 (85%) had started antiretroviral therapy with single or dual therapy. During 5015 person-years of follow-up, 276 patients died (mortality rate 5.5 per 100 person-years; 3-year mortality risk 15.3% (95% CI 13.5-17.3). Risk of death was strongly influenced by the latest CD4-cell count with a relative hazard of 15.8 (95% CI 9.28-27.0) for counts below 50 cells per microL versus above 200 cells per microL. The latest viral load did not independently predict death. For any given viral load, patients on treatment had more favourable CD4-cell-count slopes than those off treatment. For patients on treatment and with stable viral load, CD4-cell counts tended to be increasing at times when the current viral load was below 10000 copies per mL or 1.5 log10 copies per mL below off-treatment values.
In patients for whom viral-load suppression to below the level of detection is not possible, achievement and maintenance of a CD4-cell count above 200 per microL becomes the primary aim. Treatment regimens that maintain the viral load below 10000 copies per mL or at least provide 1.5 log10 copies per mL suppression below the off-treatment value do not seem to be associated with appreciable CD4-cell-count decline.
对于接受多种药物治疗后HIV复制仍未被抑制的患者,治疗策略尚不清楚。我们旨在评估经历三类病毒学失败的患者的病毒载量、CD4细胞计数和临床结局之间的相互关系。
我们对来自欧洲、北美和澳大利亚的13个HIV队列进行了联合分析,纳入了经历三类病毒学失败(病毒载量>1000拷贝/mL超过4个月)的患者。采用回归分析来量化CD4细胞计数斜率、HIV-1 RNA浓度、治疗信息和人口统计学特征之间的关联。通过Cox比例风险模型分析死亡的预测因素。
共纳入2488例患者。2118例(85%)开始接受单药或双药抗逆转录病毒治疗。在5015人年的随访期间,276例患者死亡(死亡率为每100人年5.5例;3年死亡风险为15.3%(95%CI 13.5 - 17.3))。死亡风险受最新CD4细胞计数的强烈影响,每微升低于50个细胞与高于200个细胞相比,相对风险为15.8(95%CI 9.28 - 27.0)。最新的病毒载量不能独立预测死亡。对于任何给定的病毒载量,接受治疗的患者CD4细胞计数斜率比未接受治疗的患者更有利。对于接受治疗且病毒载量稳定的患者,当当前病毒载量低于10000拷贝/mL或比未治疗时的值低1.5 log10拷贝/mL时,CD4细胞计数往往会增加。
对于无法将病毒载量抑制到检测水平以下的患者,使CD4细胞计数达到并维持在每微升200个以上成为主要目标。将病毒载量维持在每毫升10000拷贝以下或至少比未治疗时的值降低1.5 log10拷贝/mL的治疗方案似乎与CD4细胞计数的明显下降无关。