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Utility-Weighted Modified Rankin Scale Scores for the Assessment of Stroke Outcome: Pooled Analysis of 20 000+ Patients

  • Xia Wang
  • , Tom J. Moullaali
  • , Qiang Li
  • , Eivind Berge
  • , Thompson G. Robinson
  • , Richard Lindley
  • , Danni Zheng
  • , Candice Delcourt
  • , Hisatomi Arima
  • , Lili Song
  • , Xiaoying Chen
  • , Jie Yang
  • , John Chalmers
  • , C. Anderson
  • , Else Charlotte Sandset

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract


Background and Purpose: 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. Methods: 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. Results: 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]). Conclusions: 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.

Original languageEnglish
Pages (from-to)2411-2417
Number of pages7
JournalStroke
Volume51
Issue number8
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • clinical trial
  • patient-centered care
  • quality of life
  • sample size
  • stroke

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