Clinical Utility and Cost Savings in Predicting Inadequate Response to Anti-TNF Therapies in Rheumatoid Arthritis.

Clinical Utility and Cost Savings in Predicting Inadequate Response to Anti-TNF Therapies in Rheumatoid Arthritis.
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DOI:
10.1007/s40744-020-00226-3
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发表时间:
2020-12
影响因子:
3.8
通讯作者:
Withers JB
Withers JB
中科院分区:
医学2区
文献类型:
--
作者:
Bergman MJ;Kivitz AJ;Pappas DA;Kremer JM;Zhang L;Jeter A;Withers JB

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PrismRA®检测可识别对抗肿瘤坏死因子(抗TNF)治疗不太可能有反应的类风湿性关节炎(RA)患者。本研究评估了将PrismRA纳入RA患者常规临床护理的临床和财务结局。建立了一个决策分析模型,以评估首次生物治疗后12个月内的临床和经济结局。比较了两种治疗策略:(1)基于175例患者队列观察的临床决策,该队列在常规合成疾病缓解抗风湿药物(csDMARD)治疗失败后接受抗TNF治疗作为其第一种生物制剂;(2)使用PrismRA结果模拟相同人群的临床决策,以告知一线生物制剂治疗选择。模型成本包括生物制药、非生物制药和总医疗成本。根据PrismRA结果计算对抗TNF治疗和患者护理的各种组成部分反应不足的几率。确定抗TNF治疗的预测应答不足导致对一线生物治疗的ACR 50应答增加38%。PrismRA分层人群中12个月内对任何治疗(TNFi和其他)达到ACR 50应答的患者比例比未分层人群高33%(分别为59%和44%)。当根据PrismRA结果对治疗处方进行建模时,对所有财务变量的成本节约进行建模:总成本(总成本降低4%,无效治疗降低19%),总生物药物药房(总成本降低4%,无效治疗降低23%),非生物药物药房(总成本降低2%,无效治疗降低19%)和医疗成本(总成本降低6%,无效治疗降低19%)。女性是显示与抗TNF治疗应答不足相关性最大的临床指标(比值比2.42,95%置信区间1.20,4.88)。如果PrismRA按照模型实施到常规临床护理中,预测哪些RA患者对抗TNF治疗反应不足,每1000名受试患者可节省> 700万美元的总体无效医疗费用,并提高RA的目标DMARD反应率。本文的在线版本(10.1007/s40744-020-00226-3)包含补充材料,可供授权用户使用。
The PrismRA® test identifies rheumatoid arthritis (RA) patients who are unlikely to respond to anti-tumor necrosis factor (anti-TNF) therapies. This study evaluated the clinical and financial outcomes of incorporating PrismRA into routine clinical care of RA patients. A decision-analytic model was created to evaluate clinical and economic outcomes in the 12-month period following first biologic treatment. Two treatment strategies were compared: (1) observed clinical decision-making based on a 175-patient cohort receiving an anti-TNF therapy as their first biologic after failure of conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) and (2) modeled clinical decision-making of the same population using PrismRA results to inform first-line biologic treatment choice. Modeled costs include biologic drug pharmacy, non-biologic pharmacy, and total medical costs. The odds of inadequate response to anti-TNF therapies and various components of patient care were calculated based on PrismRA results. Identifying predicted inadequate responders to anti-TNF therapies resulted in a modeled 38% increase in ACR50 response to first-line biologic therapies. The fraction of patients who achieved an ACR50 response to any therapy (TNFi and others) within the 12-month period was 33% higher in the PrismRA-stratified population than in the unstratified population (59 vs. 44%, respectively). When therapy prescriptions were modeled according to PrismRA results, cost savings were modeled for all financial variables: overall costs (4% decreased total, 19% decreased on ineffective treatments), total biologic drug pharmacy (4% total, 23% ineffective), non-biologic pharmacy (2% total, 19% ineffective), and medical costs (6% total, 19% ineffective). Female sex was the clinical metric that showed the greatest association with inadequate response to anti-TNF therapies (odds ratio 2.42, 95% confidence interval 1.20, 4.88). If PrismRA is implemented into routine clinical care as modeled, predicting which RA patients will have an inadequate response to anti-TNF therapies could save > $7 million in overall ineffective healthcare costs per 1000 patients tested and increase targeted DMARD response rates in RA. The online version of this article (10.1007/s40744-020-00226-3) contains supplementary material, which is available to authorized users.
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发表时间: 2015-01
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