Kovanda Laura L, Kolamunnage-Dona Ruwanthi, Neely Michael, Maertens Johan, Lee Misun, Hope William W
Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, United Kingdom.
Astellas Pharma Global Development, Inc, Northbrook, Illinois.
Clin Infect Dis. 2017 Jun 1;64(11):1557-1563. doi: 10.1093/cid/cix198.
BACKGROUND.: The ability to make early therapeutic decisions when treating invasive aspergillosis using changes in biomarkers as a surrogate for therapeutic response could significantly improve patient outcome.
METHODS.: Cox proportional hazards model and logistic regression were used to correlate early changes in galactomannan index (GMI) to mortality and overall response, respectively, from patients with positive baseline GMI (≥0.5) and serial GMI during treatment from a phase 3 clinical trial for the treatment of invasive mold disease. Pharmacokinetic/pharmacodynamic (PK/PD) analysis in patients with isavuconazole plasma concentrations was conducted to establish the exposure necessary for GMI negativity at the end of therapy.
RESULTS.: The study included 158 patients overall and 78 isavuconazole patients in the PK/PD modeling. By day 7, GMI increases of >0.25 units from baseline (3/130 survivors; 9/28 who died) significantly increased the risk of death compared to those with no increase or increases <0.25 (hazard ratio, 9.766; 95% confidence interval [CI], 4.356-21.9; P < .0001). For each unit decrease by day 7 from baseline, the odds of successful therapy doubled (odds ratio, 2.154; 95% CI, 1.173-3.955). An area under the concentration-versus-time curve over half-maximal effective concentration (AUC:EC50) of 108.6 is estimated to result in a negative GMI at the end of isavuconazole therapy.
CONCLUSIONS.: Early trends in GMI are highly predictive of patient outcome. GMI increases by day 7 could be considered in context of clinical signs to trigger changes in treatment, once validated. Our data suggest that this improves survival by 10-fold and positive outcome by 3-fold. These data have important implications for individualized therapy for patients and clinical trials.
CLINICAL TRIALS REGISTRATION.: NCT00412893.
在治疗侵袭性曲霉病时,利用生物标志物的变化作为治疗反应的替代指标来做出早期治疗决策的能力,可显著改善患者预后。
采用Cox比例风险模型和逻辑回归,分别将半乳甘露聚糖指数(GMI)的早期变化与一项治疗侵袭性霉菌病的3期临床试验中基线GMI阳性(≥0.5)且治疗期间有系列GMI值的患者的死亡率和总体反应进行关联分析。对有艾沙康唑血浆浓度的患者进行药代动力学/药效学(PK/PD)分析,以确定治疗结束时GMI转阴所需的暴露量。
该研究共纳入158例患者,其中78例艾沙康唑患者纳入PK/PD建模。到第7天时,与GMI没有增加或增加<0.25单位的患者相比,GMI较基线增加>0.25单位(130例幸存者中的3例;28例死亡患者中的9例)显著增加死亡风险(风险比,9.766;95%置信区间[CI],4.356 - 21.9;P <.0001)。到第7天时,GMI较基线每降低1个单位,成功治疗的几率增加一倍(优势比,2.154;95% CI,1.173 - 3.955)。估计在艾沙康唑治疗结束时,浓度 - 时间曲线下面积与半数最大效应浓度之比(AUC:EC50)为108.6时可使GMI转阴。
GMI的早期变化趋势对患者预后具有高度预测性。一旦得到验证,可结合临床体征考虑在第7天时GMI的增加情况来触发治疗方案的改变。我们的数据表明,这可使生存率提高10倍,阳性结果提高3倍。这些数据对患者的个体化治疗和临床试验具有重要意义。
NCT00412893。