Mapping EQ-5D-5L utility scores from the Severe Asthma Questionnaire in the SHARP CRC RegistryMeulmeester, Fleur L. (Avtor) Van den Akker-van Marle, M. Elske (Avtor) Have, Lianne ten (Avtor) Lanario, Joseph (Avtor) Hyland, Michael E. (Avtor) Mcgahey, Anne (Avtor) Hamerlijnck, Dominique (Avtor) Bansal, Aruna T. (Avtor) Brinke, Anneke Ten (Avtor) Jong, Kim De (Avtor) Wainwright, Tania (Avtor) Tilley, Joanna (Avtor) Doe, Simon (Avtor) Bayani, K. (Avtor) Yasinska, Valentyina (Avtor) Tenselius, Oksana (Avtor) Dahlén, Barbro (Avtor) Bieksiene, Kristina (Avtor) Palacionyte, Jolita (Avtor) Loureiro, Clàudia (Avtor) Gonçalves Cunha, M (Avtor) Canhoto, Diogo (Avtor) Hromiš, Sanja (Avtor) Škrgat, Sabina (Avtor) Žaže Bertoncel, Ana (Avtor) Kopač, Peter (Avtor) Rezelj, Mariana Paula (Avtor) Masoli, Matthew (Avtor) Sont, Jacob K. (Avtor) questionnairesquality of lifehealth economic evaluationpatient registriesBackground Severe asthma imposes a substantial burden on individuals’ health-related quality of life (HRQoL), which might not be fully captured by generic instruments. The Severe Asthma Questionnaire (SAQ) is a validated disease-specific HRQoL instrument capturing the unique lived experience of people with severe asthma. However, the SAQ does not generate preference-based utility values required for health economic evaluations. This study aimed to develop and validate mapping algorithms from the SAQ to the EuroQol (EQ)-5D-5L, enabling estimation of utility values when EQ-5D data are unavailable. Methods We used baseline and 6-month data from the longitudinal, multicentre SHARP Burden of Asthma study, including adults with severe asthma across 7 European countries. Direct mapping (ordinary least squares and beta-mixture regression models) using the UK value set and indirect mapping (ordered probit regression models) were developed with baseline data to predict EQ-5D-5L utility values from SAQ scores. Performance was assessed via mean absolute error (MAE), root mean square error (RMSE), and R2, with 6-month data used for validation. Results Data from 327 patients were included. The beta-mixture model using SAQ subscales marginally outperformed the other models in the development set (MAE=0.090, RMSE=0.129, R2=0.704), whereas in the validation set the ordered probit regression model showed the best predictive performance (MAE=0.106, RMSE=0.151, R2=0.589). Conclusions Direct mapping with beta-mixture regression showed good overall performance, aligning with prior studies. Indirect mapping may be advantageous in settings requiring flexibility across EQ-5D-5L value sets. These findings demonstrate that EQ-5D-5L utility values can be reliably estimated from the SAQ, supporting use of the instrument in health-economic analyses.20262026-03-23 14:13:11Neznano28546sl