The George Institute for Global Health, University of New South Wales, Australia (X.W., Q.L., R.L., D.Z., C.D., X.C., J.C., C.S.A.).
University of Leicester, Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, United Kingdom (T.G.R.).
Stroke. 2020 Aug;51(8):2411-2417. doi: 10.1161/STROKEAHA.119.028523. Epub 2020 Jul 9.
Patient-centered care prioritizes patient beliefs and values towards wellbeing. We aimed to map functional status (modified Rankin Scale [mRS] scores) and health-related quality of life on the European Quality of Life 5-dimensional questionnaire (EQ-5D) to derive utility-weighted (UW) stroke outcome measures and test their statistical properties and construct validity.
UW-mRS scores were derived using linear regression, with mRS as a discrete ordinal explanatory response variable in 8 large international acute stroke trials. Linear regression models were used to validate UW-mRS scores by assessing differences in mean UW-mRS scores between the treatment groups of each trial. To explore the variability in EQ-5D between individual mRS categories, we generated receiver operator characteristic curves for EQ-5D to differentiate between sequential mRS categories and misclassification matrix to classify individual patients into a matched mRS category based on the closest UW-mRS value to their observed individual EQ-5D value.
Among 22 946 acute stroke patients, derived UW-mRS across mRS scores 0 to 6 were 0.96, 0.83, 0.72, 0.54, 0.22, -0.18, and 0, respectively. Both UW-mRS and ordinal mRS scores captured divergent treatment effects across all 8 acute stroke trials. The sample sizes required to detect the treatment effects using UW-mRS scores as a continuous variable were almost half that required in trials for a binary cut point on the mRS. Area under receiver operator characteristic curves based on EQ-5D utility values varied from 0.66 to 0.81. Misclassification matrix showed moderate agreement between actual and matched mRS scores (kappa, 0.68 [95% CI, 0.67-0.68]).
Medical strategies that target avoiding dependency may provide maximum benefit in terms of poststroke health-related quality of life. Despite variable differences with mRS scores, the UW-mRS provides efficiency gains as a smaller sample size is required to detect a treatment effect in acute stroke trials through use of continuous scores. Registration: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT00226096, NCT00716079, NCT01422616, NCT02162017, NCT00120003, NCT02123875. URL: http://ctri.nic.in; Unique identifier: CTRI/2013/04/003557. URL: https://www.isrctn.com; Unique identifier: ISRCTN89712435.
以患者为中心的护理将患者的信念和幸福感放在首位。我们旨在通过欧洲生活质量 5 维问卷(EQ-5D)来绘制功能状态(改良 Rankin 量表[mRS]评分)和与健康相关的生活质量,并得出效用加权(UW)的卒中结局测量值,并检验其统计学特性和结构效度。
使用线性回归法从 8 项大型国际急性卒中试验中得出 UW-mRS 评分,mRS 作为离散有序解释性因变量。使用线性回归模型通过评估每个试验的治疗组之间的平均 UW-mRS 评分差异来验证 UW-mRS 评分。为了探索 EQ-5D 中个体 mRS 类别之间的变异性,我们生成了 EQ-5D 的接收者操作特征曲线,以区分连续的 mRS 类别,并生成错误分类矩阵,根据与观察到的个体 EQ-5D 值最接近的 UW-mRS 值将个体患者分类到匹配的 mRS 类别中。
在 22946 例急性卒中患者中,mRS 评分 0 至 6 的 UW-mRS 分别为 0.96、0.83、0.72、0.54、0.22、-0.18 和 0。在所有 8 项急性卒中试验中,UW-mRS 和有序 mRS 评分都捕捉到了不同的治疗效果。使用 UW-mRS 评分作为连续变量检测治疗效果所需的样本量几乎是试验中 mRS 二进制切点的一半。基于 EQ-5D 效用值的接收者操作特征曲线下面积从 0.66 到 0.81 不等。错误分类矩阵显示实际和匹配的 mRS 评分之间存在中等一致性(kappa,0.68 [95%CI,0.67-0.68])。
针对避免依赖的医疗策略可能会在卒中后健康相关生活质量方面提供最大的益处。尽管 UW-mRS 与 mRS 评分存在差异,但 UW-mRS 作为一种连续评分,通过使用连续评分,可提高效率,因为在急性卒中试验中检测治疗效果所需的样本量更小。注册:网址:https://www.clinicaltrials.gov;唯一标识符:NCT00226096、NCT00716079、NCT01422616、NCT02162017、NCT00120003、NCT02123875。网址:http://ctri.nic.in;唯一标识符:CTRI/2013/04/003557。网址:https://www.isrctn.com;唯一标识符:ISRCTN89712435。