Examining the Prediction Properties of a Visual Analogue Scale for Utility Measurement in End-Stage Liver Disease Pre and Post Transplantation
Author(s)
Canton P1, Burns R2, Mulrennan K2, McCarthy E3
1Atlantic Technological University, Sligo, Ireland, 2Atlantic Technological University, Sligo, Sligo, Ireland, 3Atlantic Technological University, Galway, Galway, Ireland
OBJECTIVES: This study aims to investigate the predictive properties between a Visual Analogue Scale (VAS) and the EuroQol EQ-5D-5L utility scores in End-Stage Liver Disease (ESLD) patients across European countries as part of the EU COPE transplantation trial.
METHODS: Complete case data was extracted from the EU COPE liver transplantation trial (n=79) across three time points. Country-specific EQ-5D-5L normative values were used to calculate utility scores. Pearson’s correlation coefficient assessed relationships between utility scores and the VAS scores. Age was the predictor for two linear regression models that explored its influence on the VAS and utility scores. A pooled analysis of all time points evaluated the predictive power of the VAS on utility scores.
RESULTS: In the UK, correlations ranged from 0.55 to 0.62 (p < 0.001). Spain and Belgium showed correlations above 0.70 (p < 0.05), while Germany had weaker correlations, especially at 30 days post-transplant (p = 0.054). Age significantly affects VAS scores in the UK, Spain, and Belgium. Utility scores demonstrated significant age effects in the UK and Belgium, but not in Germany and Spain. When assessing model fit, R2 values range from 34.6% to 41.5%, which signifies moderate predictive model given limitations on available controls and confounding factors. Therefore, it suggests that utility scores explain a moderate amount of the variability in EQ-VAS overall.
CONCLUSIONS: The study found that utility and VAS scores are associated, though the correlation strength varies across countries. Age significantly affects both measures, contributing to variation, which suggests age-related stratification is necessary for ESLD quality of life modelling. The moderate and variable predictive power of utility scores may indicate that the two techniques cannot be considered as interchangeable. Further research is warranted in understanding computational approaches addressing the impact of clinical heterogeneity for assessing quality of life.
Conference/Value in Health Info
Value in Health, Volume 27, Issue 12, S2 (December 2024)
Acceptance Code
P44
Topic
Patient-Centered Research
Topic Subcategory
Health State Utilities, Patient-reported Outcomes & Quality of Life Outcomes
Disease
Gastrointestinal Disorders