期刊名称：General Internal Medicine and Clinical Innovations
电子版ISSN：2397-5237
出版年度：2019
卷号：4
期号：3
页码：1-9
DOI：10.15761-GIMCI.1000181
语种：English
出版社：Open Access Text
摘要：Aim: To obtain the mapping algorithms for translating the specific severity measures obtained by FKSI upon three generic utility instruments (SF-6D, EQ5D-3L y and HUI-3) for chronic kidney disease (CKD) patients. Methods: A cross-sectional prospective observational study design, including CKD patients recruited at random on demand for attention, was used. The final sample was composed by 161 patients suffering CKD. Women were 42%, mean age 54.6 years (SD=15.5) and average disease seniority of 2.82 years (SD=1.61). Three questionnaires measuring HRQoL (EQ5D-3L, SF-6D and HUI-3) were administered along with av CKD symptom severity specific (FKSI-9). Different regression models (linear, quadratic, cubic) were fitted for each separate generic instrument estimating preference-based utility values from FKSI symptom severity and compared using several goodness-of-fit statistics. Empirical grouping of patients based on utilities and severity was explored using Latent Profile Analysis. Results: Observed FKSI scores distributed between 0 and 29 points with an average M=7.5 (SD=6.39). Utility mean values for the three instruments were noticeably different: MEQ=0.676 (SDEQ=0.247), MSF=0.514 (SDSF=0.286) and MHU=0.673 (SDHU=0.232). In the three cases, the best fitting model was the cubic one, with the best fit attained by SF-6D (R2=0.619) while EQ-5D (R2=0.548) and HUI-3 (R2=0.565) were lower. Latent profile analysis distinguished four clusters, with R2=0.87 and 7% classification-error-rate. Conclusions: Obtained results allow to transfer CKD deterioration values into social utility values for those health states, as measured by the three most widely used HRQoL instruments.
关键词：social utility; health related quality of life; mapping; regression models; patient reported outcome measurement (PROM); FKSI; MOS SF-6D; HUI-3; EuroQol-5D
