Abstract

547 Background: The National Cancer Institute of Canada CO17 study, which showed that patients with advanced colorectal cancer had improved overall survival and derived health related quality of life benefits (measured with EORTC QLQ C30) when treated with cetuximab, collected health preferences with HUI3 prospectively. We examined the relationship between baseline health utilities and quality of life, and constructed a mapping algorithm to derive health utilities from EORTC QLQ C30. Methods: Data from 545 patients including baseline characteristics (age, gender, treatment arm, K-ras, ECOG PS, etc.), health preferences (HUI3), EORTC QLQ C30 five function scales, a two-item global health status (GHS) scale, three symptom scales, and six single items were obtained from the CO17 dataset. Correlations among HUI3 and EORTC QLQ C30 scales and baseline characteristics were examined. Multivariable linear regression model was constructed to develop a mapping algorithm to derive HUI3 from EORTC QLQ C30 scales and/or baseline characteristics. Leave-one-out cross validation (LOOCV) mean absolute error (MAE) and root mean square error (RMSE) were calculated to examine predictive ability. Results: The mean HUI3 was 0.717 (SD = 0.235). HUI3 was significantly correlated with baseline ECOG PS, number of disease sites and the presence of liver metastasis, but not with age, gender, treatment arms or K-ras. HUI3 was also significantly correlated with all EORTC QLQ C30 scales except the diarrhea scale. Multivariable regression showed that HUI3 remained significantly associated with four of the five functional scales (physical, role, cognitive and emotional), the pain scale and the GHS scale. A mapping algorithm consisting of these 6 scales resulted in a model with an adjusted R2 of 0.61, and LOOCV mean error of -0.00014, MAE of 0.11, and RMSE of 0.15. Conclusions: Health preferences as measured by HUI3 are significantly associated with HRQL as measured by EORTC QLQ C30 in patients with advanced refractory colorectal cancer. Our mapping will allow for the generation of health preference values in advanced colorectal cancer when only EORTC QLQ C30 results exist in order to conduct cost-effectiveness analysis.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call