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To construct a model to predict preference-adjusted EuroQol 5D (EQ-5D) health utilities for CS using the disease-specific health-related quality of life measure (CushingQOL).
Data were obtained from the European Registry on CS (ERCUSYN). ERCUSYN is a web-based, multicenter, observational study that enrolled 508 CS patients from 36 centers in 23 European countries. Patients included in the study completed both the EQ-5D and the disease-specific CushingQOL questionnaire. Socio-demographic and clinical data were also collected. The UK tariff values were used to calculate EQ-5D utility scores. Various predictive models were tested, and the final model was selected based on four criteria: explanatory power (adjusted R-squared), consistency of estimated coefficients (sign and parameter estimation), normality of prediction errors (mean error, mean absolute error, root mean squared error), and parsimony.
For the mapping analysis, data were available from a total of 129 patients. Mean (SD) age was 43.1 (13) years, and the sample was predominantly female (84.5 %). Patients had a mean (SD) CushingQOL score of 39.7 (17.1) and a mean (SD) ‘tariff’ value on the EQ-5D of 0.55 (0.3). The model which best met the criteria for selection included the intercept and 3 CushingQOL’s questions and had an R2 of 0.506 and a root mean square error of 0.216.
It was possible to find a mapping function which successfully predicted the EQ-5D UK utilities from disease-specific CushingQOL scores. The function may be useful in calculating EQ-5D scores when EQ-5D data have not been gathered directly in a study.
Gotch, P. M. (1994). Cushing’s syndrome from the patient’s perspective. Endocrinology and Metabolism Clinics of North America, 23(3), 607–617. PubMed
van der Klaauw, A. A., Kars, M., Biermasz, N. R., Roelfsema, F., Dekkers, O. M., Corssmit, E. P., et al. (2008). Disease-specific impairments in quality of life during long-term follow-up of patients with different pituitary adenomas. Clinical Endocrinology (Oxf), 69(5), 775–784. CrossRef
Badia, X., Barahona, M. J., Glusman, J., Pérez, P., \& Webb, S. M. (2007). Strategy for developing a specific Cushing’s syndrome QoL questionnaire. In 12th ISOQOL Conference on patient reported outcomes in clinical practice. Hungary: Budapest, 24–26 (Abstract).
Tiemensma, J., Kaptein, A. A., Pereira, A. M., Smit, J. W., Romijn, J. A., & Biermasz, N. R. (2011). Negative illness perceptions are associated with impaired quality of life in patients after long-term remission of Cushing’s syndrome. European Journal of Endocrinology, 165(4), 527–535. PubMedCrossRef
Kind, P., Brooks, R., & Rabin, R. (Eds.). (2005). EQ-5D concepts and methods: a developmental history. Dordrecht: Springer.
Szende, A., Oppe, M., & Devlin, N. (2007). EQ-5D value sets. Inventory, comparative review and user guide. Dordrecht: Springer. CrossRef
Nichol, M. B., Sengupta, N., & Globe, D. R. (2001). Evaluating quality-adjusted life years: estimation of the health utility index (HUI2) from the SF-36. Medical Decision Making, 21, 105–112. PubMed
Hsieh, F. Y., Bloch, D. A., & Larsen, M. D. (2001). A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine, 17, 1623–1634. CrossRef
- Mapping CushingQOL scores to EQ-5D utility values using data from the European Registry on Cushing’s syndrome (ERCUSYN)
S. M. Webb
- Springer Netherlands