Predicting EQ-5D utility scores from the Seattle Angina Questionnaire in coronary artery disease: a mapping algorithm...

Area of Science:

• Cardiology
• Health Economics
• Outcomes Research

Background:

• The Seattle Angina Questionnaire (SAQ) is a quality of life measure for coronary artery disease (CAD).
• Current SAQ limitations prevent its use in economic evaluations.
• Translating SAQ scores to EQ-5D utility scores is needed for health economic analyses.

Purpose of the Study:

• To develop a mapping algorithm for converting SAQ scores into EQ-5D utility values.
• To enable the use of SAQ data in economic evaluations for CAD studies.

Main Methods:

• Utilized data from the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH) database.
• Developed mapping algorithms using linear regression and Tobit models with Bayesian extensions.
• Validated models by comparing predicted and observed EQ-5D scores in a derivation and validation cohort.

Main Results:

• A cohort of 1992 patients was analyzed.
• Simple linear regression demonstrated the best predictive performance with an R2 of 0.38.
• The linear regression model accurately predicted mean EQ-5D utility scores (0.81 predicted vs. 0.81 observed).

Conclusions:

• A simple linear regression mapping algorithm effectively estimates mean EQ-5D utility weights from SAQ scores.
• This method facilitates the integration of SAQ data into health economic assessments for CAD.