GlaxoSmithKline, 5 Crescent Dr., Philadelphia, PA 19112.
J Manag Care Spec Pharm. 2015 Feb;21(2):158-64. doi: 10.18553/jmcp.2015.21.2.158.
There are currently many approved agents for the treatment of metastatic melanoma (MM), the most aggressive form of skin cancer. Treatments may include systemic therapies such as ipilimumab, dacarbazine, temozolomide, high-dose interleukin 2, interferon α, dacarbazine- or temozolomide-based combination chemotherapy/biochemotherapy, paclitaxel, paclitaxel/cisplatin, and paclitaxel/carboplatin, as well as the targeted therapies vemurafenib, dabrafenib, and trametinib for patients with BRAF V600 mutation. However, all treatment options are associated with different adverse events (AEs) and, in some instances, considerable toxicity. The occurrence of such treatment-related AEs can lead to higher health care resource utilization and increasing treatment and patient management costs. An understanding of the economic burden of these AEs will therefore enable better management of health care expenditures, not just for existing therapies, but also for new and novel treatments in development.
To estimate the incremental health care costs of specific AEs among patients with MM treated with paclitaxel, vemurafenib, ipilimumab, dacarbazine, temozolomide, high-dose interleukin 2, or interferon α, along with AEs known to be associated with dabrafenib and trametinib.
This cohort study employed a retrospective administrative claims-based analysis of MarketScan commercial and Medicare supplemental databases from July 1, 2004, to April 30, 2012. Patients included those aged ≥ 18 years who had diagnosed melanoma (ICD-9-CM code 172.xx)with ≥ 1 diagnosis of metastasis and ≥ 1 claim for any of the 7 study treatments. Health care encounters for AEs of interest were based on ICD-9-CM diagnosis/procedure codes. Incremental cost per AE was determined by comparing the 30-day expenditures in patients with the event to patients without the event based on a shadow event date. Multivariate generalized linear models (GLMs) with a log-link function and gamma distribution were utilized to control for baseline differences between groups.
A total of 2,621 patients with MM were included. Mean age was 56.0 years (SD ± 13.0); 64% were male; and 24% had a diagnosis of primary or secondary brain cancer at the time of MM diagnosis. GLM-based estimate of 30-day incremental costs by AE category were metabolic, $9,135 (95% CI = $6,404-$12,392); hematologic/lymphatic, $8,450 (95% CI = $6,528-$10,633); cardiovascular, $6,476 (95% CI = $4,667-$8,541); gastrointestinal, $6,338 (95% CI = $4,740-$8,122); skin/subcutaneous, -$900 (95% CI = -$1,899-$237); central nervous system/psychiatric, $5,903 (95% CI = $3,842-$8,313); and pain, $5,078 (95% CI = $3,392-$7,012).
Incremental costs associated with many MM treatment-related AEs are substantial. New approaches to prevent and/or better manage these events may reduce overall health care costs.
目前有许多批准的药物可用于治疗转移性黑色素瘤(MM),这是最具侵袭性的皮肤癌形式。治疗方法可能包括全身治疗,如 ipilimumab、达卡巴嗪、替莫唑胺、高剂量白细胞介素 2、干扰素 α、基于达卡巴嗪或替莫唑胺的联合化疗/生物化疗、紫杉醇、紫杉醇/顺铂和紫杉醇/卡铂,以及针对 BRAF V600 突变患者的靶向治疗药物 vemurafenib、dabrafenib 和 trametinib。然而,所有治疗选择都与不同的不良反应 (AE) 相关,在某些情况下,毒性相当大。这些与治疗相关的 AE 的发生会导致更高的医疗保健资源利用,并增加治疗和患者管理成本。因此,了解这些 AE 的经济负担将有助于更好地管理医疗保健支出,不仅针对现有疗法,也针对新的和正在开发的疗法。
评估接受紫杉醇、vemurafenib、ipilimumab、达卡巴嗪、替莫唑胺、高剂量白细胞介素 2 或干扰素 α 治疗的 MM 患者中特定 AE 的增量医疗保健成本,以及与 dabrafenib 和 trametinib 相关的已知 AE。
本队列研究采用回顾性市场扫描商业和医疗保险补充数据库分析,时间为 2004 年 7 月 1 日至 2012 年 4 月 30 日。纳入标准为年龄≥18 岁、诊断为黑色素瘤(ICD-9-CM 代码 172.xx)且≥1 次诊断为转移和≥1 次接受任何 7 种研究治疗的患者。感兴趣的 AE 相关医疗保健就诊情况基于 ICD-9-CM 诊断/程序代码。根据影子事件日期,通过比较有事件患者和无事件患者的 30 天支出,确定每个 AE 的增量成本。使用具有对数链接函数和伽马分布的多变量广义线性模型 (GLM) 来控制组间的基线差异。
共纳入 2621 例 MM 患者。平均年龄为 56.0 岁(标准差 ±13.0);64%为男性;24%在 MM 诊断时患有原发性或继发性脑癌。根据 AE 类别进行的基于 GLM 的 30 天增量成本估计为代谢性,9135 美元(95%置信区间=6404 美元-12392 美元);血液/淋巴,8450 美元(95%置信区间=6528 美元-10633 美元);心血管,6476 美元(95%置信区间=4667 美元-8541 美元);胃肠道,6338 美元(95%置信区间=4740 美元-8122 美元);皮肤/皮下,-900 美元(95%置信区间= -1899 美元-237 美元);中枢神经系统/精神,5903 美元(95%置信区间=3842 美元-8313 美元);和疼痛,5078 美元(95%置信区间=3392 美元-7012 美元)。
与许多 MM 治疗相关的 AE 相关的增量成本是相当大的。预防和/或更好管理这些事件的新方法可能会降低整体医疗保健成本。