The Golden Helix Foundation, London, UK.
Centro di Riferimento Oncologico (CRO), Aviano, Italy.
Pharmacol Res. 2023 Nov;197:106949. doi: 10.1016/j.phrs.2023.106949. Epub 2023 Oct 5.
A cost-utility analysis was conducted to evaluate pharmacogenomic (PGx)-guided treatment compared to the standard-of-care intervention among patients diagnosed with colorectal cancer (CRC) in Italy.
Data derived from a prospective, open-label, block randomized clinical trial, as a part of the largest PGx study worldwide (355 patients in both arms) were used. Mortality was used as the primary health outcome to estimate life years (LYs) gained in treatment arms within a survival analysis context. PGx-guided treatment was based on established drug-gene interactions between capecitabine, 5-fluorouracil and irinotecan with DPYD and/or UGT1A1 genomic variants. Utility values for the calculation of Quality Adjusted Life Year (QALY) was based on Visual Analog Scale (VAS) score. Missing data were imputed via the Multiple Imputation method and linear interpolation, when possible, while censored cost data were corrected via the Replace-From-The-Right algorithm. The Incremental Cost-Effectiveness Ratio (ICER) was calculated for QALYs. Raw data were bootstrapped 5000 times in order to produce 95% Confidence Intervals based on non-parametric percentile method and to construct a cost-effectiveness acceptability curve. Cost differences for study groups were investigated via a generalized linear regression model analysis. Total therapy cost per patient reflected all resources expended in the management of any adverse events, including medications, diagnostics tests, devices, surgeries, the utilization of intensive care units, and wards.
The total cost of the study arm was estimated at €380 (∼ US$416; 95%CI: 195-596) compared to €565 (∼ US$655; 95%CI: 340-724) of control arm while the mean survival in study arm was estimated at 1.58 (+0.25) LYs vs 1.50 (+0.26) (Log Rank test, X2 = 4.219, df=1, p-value=0.04). No statistically significant difference was found in QALYs. ICER was estimated at €13418 (∼ US$14695) per QALY, while the acceptability curve indicated that when the willingness-to-pay was under €5000 (∼ US$5476), the probability of PGx being cost-effective overcame 70%. The most frequent adverse drug event in both groups was neutropenia of severity grade 3 and 4, accounting for 82.6% of total events in the study arm and 65.0% in the control arm. Apart from study arm, smoking status, Body-Mass-Index and Cumulative Actionability were also significant predictors of total cost. Subgroup analysis conducted in actionable patients (7.9% of total patients) indicated that PGx-guided treatment was a dominant option over its comparator with a probability greater than 92%. In addition, a critical literature review was conducted, and these findings are in line with those reported in other European countries.
PGx-guided treatment strategy may represent a cost-saving option compared to the existing conventional therapeutic approach for colorectal cancer patient management in the National Health Service of Italy.
在意大利,对诊断为结直肠癌(CRC)的患者进行了成本效用分析,以评估基于药物基因组学(PGx)的治疗与标准护理干预相比的效果。
使用了来自一项前瞻性、开放标签、分块随机临床试验的数据,该试验是全球最大的 PGx 研究的一部分(每组 355 例患者)。死亡率被用作主要的健康结果,以估计治疗组在生存分析背景下的寿命年(LYs)增加。基于卡培他滨、5-氟尿嘧啶和伊立替康与 DPYD 和/或 UGT1A1 基因组变异之间已建立的药物-基因相互作用,进行基于 PGx 的治疗。用于计算质量调整生命年(QALY)的效用值基于视觉模拟量表(VAS)评分。缺失数据通过多重插补法和线性内插法(在可能的情况下)进行插补,而对截尾的成本数据则通过右侧替换算法进行校正。对 QALYs 进行了增量成本效益比(ICER)的计算。为了基于非参数百分位法生成 95%置信区间并构建成本效益可接受性曲线,对原始数据进行了 5000 次自举。通过广义线性回归模型分析研究组之间的成本差异。每位患者的总治疗成本反映了管理任何不良事件所消耗的所有资源,包括药物、诊断测试、设备、手术、重症监护病房和病房的使用。
研究组的总成本估计为 380 欧元(约合 416 美元;95%CI:195-596),而对照组为 565 欧元(约合 655 美元;95%CI:340-724),研究组的平均存活时间估计为 1.58(+0.25)LYs 与 1.50(+0.26)(对数秩检验,X2=4.219,df=1,p 值=0.04)。在 QALYs 方面未发现统计学上的显著差异。ICER 估计为 13418 欧元(约合 14695 美元)/QALY,而可接受性曲线表明,当支付意愿低于 5000 欧元(约合 5476 美元)时,PGx 的成本效益概率超过 70%。在两组中最常见的不良药物事件是 3 级和 4 级中性粒细胞减少症,占研究组总事件的 82.6%,对照组为 65.0%。除了研究组外,吸烟状况、体重指数和累积作用性也是总费用的重要预测因素。对可操作患者(总患者的 7.9%)进行的亚组分析表明,PGx 指导治疗策略可能是一种比其比较药物更具成本效益的选择,其概率大于 92%。此外,还进行了一项关键的文献综述,这些发现与其他欧洲国家报告的结果一致。
与意大利国家卫生服务机构中结直肠癌患者管理的现有常规治疗方法相比,基于药物基因组学的治疗策略可能是一种节省成本的选择。