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采用基于患者偏好数据的临床实用指数和暴露反应建模的个性化医学方法。

A Personalized Medicine Approach Using Clinical Utility Index and Exposure-Response Modeling Informed by Patient Preferences Data.

机构信息

Clinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen am Rhein, Germany.

Health Economics & Outcomes Research, AbbVie, North Chicago, Illinois, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2021 Jan;10(1):40-47. doi: 10.1002/psp4.12570. Epub 2020 Dec 18.

DOI:10.1002/psp4.12570
PMID:33200566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7825192/
Abstract

Selection of a personalized dose for an individual patient can be informed by the patient's preferences, translated as weights on each of the clinically relevant safety and efficacy drug attributes, based on results from a brief patient preference elicitation questionnaire. In this analysis, the weighted attributes were simulated to represent various endometriosis patient profiles. Exposure-response simulations were performed for elagolix, a drug approved for management of moderate to severe pain associated with endometriosis, across a range of plasma exposures corresponding to a range of doses. The results were combined to calculate a personalized clinical utility index. An interactive user-friendly online application was developed and envisioned as a physician's desk tool to personalize the dose selection process based on individual patient preferences. This demonstration should serve as an example of how patient/physician conversation can be facilitated with quantitative tools for personalizing the dose.

摘要

为个体患者选择个性化剂量可以参考患者的偏好,将其转化为每个具有临床相关性的安全性和疗效药物属性的权重,这是基于简短的患者偏好征询问卷的结果。在这项分析中,对加权属性进行了模拟,以代表各种子宫内膜异位症患者的特征。对获批用于治疗与子宫内膜异位症相关的中度至重度疼痛的药物 Elagolix 进行了暴露-反应模拟,模拟范围涵盖了与一系列剂量相对应的各种血浆暴露水平。将结果进行组合,以计算个性化临床效用指数。开发了一个互动式用户友好型在线应用程序,并将其设想为医生的桌面工具,以根据个体患者的偏好来个性化剂量选择过程。本演示应作为如何使用定量工具来个性化剂量从而促进医患对话的一个示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/7825192/fe52cb72ca59/PSP4-10-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/7825192/fe52cb72ca59/PSP4-10-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/7825192/fe52cb72ca59/PSP4-10-40-g001.jpg

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本文引用的文献

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CPT Pharmacometrics Syst Pharmacol. 2020 Nov;9(11):639-648. doi: 10.1002/psp4.12560. Epub 2020 Oct 8.
2
Effect of Elagolix Exposure on Clinical Efficacy End Points in Phase III Trials in Women With Endometriosis-Associated Pain: An Application of Markov Model.Elagolix 暴露对患有子宫内膜异位症相关疼痛的女性的 III 期试验中临床疗效终点的影响:马尔可夫模型的应用。
CPT Pharmacometrics Syst Pharmacol. 2020 Aug;9(8):466-475. doi: 10.1002/psp4.12545. Epub 2020 Jul 31.
3
An overview of clinical decision support systems: benefits, risks, and strategies for success.
临床决策支持系统概述:益处、风险及成功策略。
NPJ Digit Med. 2020 Feb 6;3:17. doi: 10.1038/s41746-020-0221-y. eCollection 2020.
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Design, Conduct, and Use of Patient Preference Studies in the Medical Product Life Cycle: A Multi-Method Study.医疗产品生命周期中患者偏好研究的设计、实施与应用:一项多方法研究
Front Pharmacol. 2019 Dec 3;10:1395. doi: 10.3389/fphar.2019.01395. eCollection 2019.
5
Clinical Pharmacology of Elagolix: An Oral Gonadotropin-Releasing Hormone Receptor Antagonist for Endometriosis.Elagolix 的临床药理学:一种用于子宫内膜异位症的口服促性腺激素释放激素受体拮抗剂。
Clin Pharmacokinet. 2020 Mar;59(3):297-309. doi: 10.1007/s40262-019-00840-7.
6
Patient Preferences for Endometriosis Pain Treatments in the United States.美国子宫内膜异位症疼痛治疗的患者偏好。
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