• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

效用加权改良 Rankin 量表:作为真正以患者为中心的主要结局指标仍过于粗糙?

Utility-weighted modified Rankin Scale: Still too crude to be a truly patient-centric primary outcome measure?

机构信息

NHMRC Centre for Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.

Eastern Health and Eastern Health Clinical School, Monash University, Clayton, Australia.

出版信息

Int J Stroke. 2020 Apr;15(3):268-277. doi: 10.1177/1747493019830583. Epub 2019 Feb 12.

DOI:10.1177/1747493019830583
PMID:30747612
Abstract

BACKGROUND

The utility-weighted modified Rankin Scale (UW-mRS) is an outcome measure recently proposed to improve statistical efficiency and interpretability of the mRS. Statistical properties of the UW-mRS have been well investigated, but construct validity has yet to be established.

AIMS

To investigate the construct validity of the UW-mRS as a primary outcome measure by assessing variability in utility values within and between mRS categories, over time post-stroke, and by different derivation methods.

METHODS

UW-mRS was derived using assessment of quality of life (AQoL-4D) and mRS scores at 3 and 12 months ( = 2030) from a large randomized controlled trial, A Very Early Rehabilitation Trial (AVERT). Receiver operator characteristic (ROC) analysis of AQoL-4D was conducted to differentiate between sequential mRS categories. Intraclass correlation was used to explore variability in utility values over time post-stroke, UW-mRS values, and derivation methods from multiple studies.

RESULTS

UW-mRS values for mRS categories 0-6 at three months were 0.80, 0.78, 0.63, 0.37, 0.11, 0.03, and 0. Based on AQoL-4D utility values, areas under the ROC curve varied from 0.54 to 0.87. Time post-stroke explained 42%-56% of variability in AQoL-4D utility values in patients with no change in mRS between 3 and 12 months. The choice of the derivation method contributed to 25% of the variability in UW-mRS values.

CONCLUSIONS

The high variability in utility values between and within mRS categories, over time post-stroke, and using different derivation methods is not adequately reflected in the UW-mRS. These threats to construct validity warrant caution when using UW-mRS as a primary outcome measure.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ACTRN12606000185561).

摘要

背景

实用权重改良 Rankin 量表(UW-mRS)是一种最近提出的结局测量方法,旨在提高 mRS 的统计效率和可解释性。UW-mRS 的统计学特性已经得到了很好的研究,但结构效度尚未得到证实。

目的

通过评估脑卒中后不同时间点和不同推导方法下 mRS 各等级内和等级间的效用值变化,探讨 UW-mRS 作为主要结局测量指标的结构效度。

方法

从一项大型随机对照试验(AVERT)中获取了 3 个月和 12 个月( = 2030)的生活质量评估(AQoL-4D)和 mRS 评分,利用这些数据推导 UW-mRS。通过 AQoL-4D 的受试者工作特征(ROC)分析来区分连续的 mRS 等级。采用组内相关系数来探讨脑卒中后不同时间点、UW-mRS 值和多个研究推导方法下效用值的变异性。

结果

3 个月时 mRS 0-6 各等级的 UW-mRS 值分别为 0.80、0.78、0.63、0.37、0.11、0.03 和 0。基于 AQoL-4D 的效用值,ROC 曲线下面积从 0.54 到 0.87 不等。脑卒中后 3 个月至 12 个月间 mRS 无变化的患者,AQoL-4D 效用值的变异性有 42%-56%可以用时间来解释。推导方法的选择对 UW-mRS 值的变异性有 25%的贡献。

结论

mRS 各等级内和等级间的效用值在脑卒中后不同时间点和使用不同推导方法时存在较大的变异性,而 UW-mRS 并不能充分反映这些变化。这些对结构效度的威胁提示在将 UW-mRS 作为主要结局测量指标时应谨慎使用。

试验注册

澳大利亚新西兰临床试验注册中心(ACTRN12606000185561)。

相似文献

1
Utility-weighted modified Rankin Scale: Still too crude to be a truly patient-centric primary outcome measure?效用加权改良 Rankin 量表:作为真正以患者为中心的主要结局指标仍过于粗糙?
Int J Stroke. 2020 Apr;15(3):268-277. doi: 10.1177/1747493019830583. Epub 2019 Feb 12.
2
Utility-Weighted Modified Rankin Scale Scores for the Assessment of Stroke Outcome: Pooled Analysis of 20 000+ Patients.效用加权改良 Rankin 量表评分用于评估脑卒中结局:20000 余例患者的汇总分析。
Stroke. 2020 Aug;51(8):2411-2417. doi: 10.1161/STROKEAHA.119.028523. Epub 2020 Jul 9.
3
Utility-Weighted Modified Rankin Scale as Primary Outcome in Stroke Trials: A Simulation Study.效用加权改良 Rankin 量表作为卒中试验的主要结局指标:一项模拟研究。
Stroke. 2018 Apr;49(4):965-971. doi: 10.1161/STROKEAHA.117.020194. Epub 2018 Mar 13.
4
Health Utility Weighting of the Modified Rankin Scale: A Systematic Review and Meta-analysis.健康效用值对改良 Rankin 量表的加权:系统评价和荟萃分析。
JAMA Netw Open. 2020 Apr 1;3(4):e203767. doi: 10.1001/jamanetworkopen.2020.3767.
5
Adopting a Patient-Centered Approach to Primary Outcome Analysis of Acute Stroke Trials Using a Utility-Weighted Modified Rankin Scale.采用以患者为中心的方法,使用效用加权改良Rankin量表对急性卒中试验进行主要结局分析。
Stroke. 2015 Aug;46(8):2238-43. doi: 10.1161/STROKEAHA.114.008547. Epub 2015 Jul 2.
6
Brief comprehensive quality of life assessment after stroke: the assessment of quality of life instrument in the north East melbourne stroke incidence study (NEMESIS).卒中后简短综合生活质量评估:墨尔本东北部卒中发病率研究(NEMESIS)中的生活质量评估工具
Stroke. 2002 Dec;33(12):2888-94. doi: 10.1161/01.str.0000040407.44712.c7.
7
Early mobilization and quality of life after stroke: Findings from AVERT.脑卒中后早期活动与生活质量:AVERT 的研究结果。
Neurology. 2019 Aug 13;93(7):e717-e728. doi: 10.1212/WNL.0000000000007937. Epub 2019 Jul 26.
8
A Very Early Rehabilitation Trial after stroke (AVERT): a Phase III, multicentre, randomised controlled trial.卒中后极早期康复试验(AVERT):一项 III 期、多中心、随机对照试验。
Health Technol Assess. 2017 Sep;21(54):1-120. doi: 10.3310/hta21540.
9
How well do standard stroke outcome measures reflect quality of life? A retrospective analysis of clinical trial data.标准卒中结局测量指标在多大程度上反映了生活质量?临床试验数据的回顾性分析。
Stroke. 2013 Nov;44(11):3161-5. doi: 10.1161/STROKEAHA.113.001126. Epub 2013 Sep 19.
10
Trade-Offs in Quality-of-Life Assessment Between the Modified Rankin Scale and Neuro-QoL Measures.改良 Rankin 量表与神经生活质量量表在生活质量评估中的权衡。
Value Health. 2020 Oct;23(10):1366-1372. doi: 10.1016/j.jval.2020.06.011. Epub 2020 Sep 1.

引用本文的文献

1
Patient centered outcomes in stroke: utility-weighted modified Rankin Scale results in a community-based study.卒中以患者为中心的结局:基于社区研究的效用加权改良Rankin量表结果
Front Neurol. 2025 Mar 21;16:1539107. doi: 10.3389/fneur.2025.1539107. eCollection 2025.
2
Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.软件采用人工智能衍生算法分析疑似急性脑卒中患者的 CT 脑扫描:系统评价和成本效益分析。
Health Technol Assess. 2024 Mar;28(11):1-204. doi: 10.3310/RDPA1487.
3
Staged use of ordinal and linear disability scales: a practical approach to granular assessment of acute stroke outcome.
序数和线性残疾量表的分期使用:一种对急性卒中结局进行精细评估的实用方法。
Front Neurol. 2023 Jun 28;14:1174686. doi: 10.3389/fneur.2023.1174686. eCollection 2023.
4
Improving Visualization Methods of Utility-Weighted Disability Outcomes for Stroke Trials.改善中风试验中效用加权残疾结果的可视化方法。
Front Neurol. 2022 May 13;13:875350. doi: 10.3389/fneur.2022.875350. eCollection 2022.
5
Cost-Consequence Analysis of Advanced Imaging in Acute Ischemic Stroke Care.急性缺血性卒中治疗中高级影像学检查的成本-后果分析
Front Neurol. 2021 Nov 26;12:774657. doi: 10.3389/fneur.2021.774657. eCollection 2021.
6
Cost-Effectiveness Study of Initial Imaging Selection in Acute Ischemic Stroke Care.急性缺血性脑卒中护理中初始影像选择的成本效益研究。
J Am Coll Radiol. 2021 Jun;18(6):820-833. doi: 10.1016/j.jacr.2020.12.013. Epub 2020 Dec 30.
7
Weights for ordinal analyses of the modified Rankin Scale in stroke trials: A population-based cohort study.卒中试验中改良Rankin量表序贯分析的权重:一项基于人群的队列研究。
EClinicalMedicine. 2020 Jun 15;23:100415. doi: 10.1016/j.eclinm.2020.100415. eCollection 2020 Jun.
8
Health Utility Weighting of the Modified Rankin Scale: A Systematic Review and Meta-analysis.健康效用值对改良 Rankin 量表的加权:系统评价和荟萃分析。
JAMA Netw Open. 2020 Apr 1;3(4):e203767. doi: 10.1001/jamanetworkopen.2020.3767.