Mapping the EQ-5D index by UPDRS and PDQ-8 in patients with Parkinson's disease
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Mapping the EQ-5D index by UPDRS and PDQ-8 in patients with Parkinson's disease. / Dams, Judith; Klotsche, Jens; Bornschein, Bernhard; Reese, Jens P; Balzer-Geldsetzer, Monika; Winter, Yaroslav; Schrag, Anette; Siderowf, Andrew; Oertel, Wolfgang H; Deuschl, Günther; Siebert, Uwe; Dodel, Richard.
in: HEALTH QUAL LIFE OUT, Jahrgang 11, 2013, S. 35.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Mapping the EQ-5D index by UPDRS and PDQ-8 in patients with Parkinson's disease
AU - Dams, Judith
AU - Klotsche, Jens
AU - Bornschein, Bernhard
AU - Reese, Jens P
AU - Balzer-Geldsetzer, Monika
AU - Winter, Yaroslav
AU - Schrag, Anette
AU - Siderowf, Andrew
AU - Oertel, Wolfgang H
AU - Deuschl, Günther
AU - Siebert, Uwe
AU - Dodel, Richard
PY - 2013
Y1 - 2013
N2 - BACKGROUND: Clinical studies employ the Unified Parkinson's Disease Rating Scale (UPDRS) to measure the severity of Parkinson's disease. Evaluations often fail to consider the health-related quality of life (HrQoL) or apply disease-specific instruments. Health-economic studies normally use estimates of utilities to calculate quality-adjusted life years. We aimed to develop an estimation algorithm for EuroQol- 5 dimensions (EQ-5D)-based utilities from the clinical UPDRS or disease-specific HrQoL data in the absence of original utilities estimates.METHODS: Linear and fractional polynomial regression analyses were performed with data from a study of Parkinson's disease patients (n=138) to predict the EQ-5D index values from UPDRS and Parkinson's disease questionnaire eight dimensions (PDQ-8) data. German and European weights were used to calculate the EQ-5D index. The models were compared by R(2), the root mean square error (RMS), the Bayesian information criterion, and Pregibon's link test. Three independent data sets validated the models.RESULTS: The regression analyses resulted in a single best prediction model (R(2): 0.713 and 0.684, RMS: 0.139 and 13.78 for indices with German and European weights, respectively) consisting of UPDRS subscores II, III, IVa-c as predictors. When the PDQ-8 items were utilised as independent variables, the model resulted in an R2 of 0.60 and 0.67. The independent data confirmed the prediction models.CONCLUSION: The best results were obtained from a model consisting of UPDRS subscores II, III, IVa-c. Although a good model fit was observed, primary EQ-5D data are always preferable. Further validation of the prediction algorithm within large, independent studies is necessary prior to its generalised use.
AB - BACKGROUND: Clinical studies employ the Unified Parkinson's Disease Rating Scale (UPDRS) to measure the severity of Parkinson's disease. Evaluations often fail to consider the health-related quality of life (HrQoL) or apply disease-specific instruments. Health-economic studies normally use estimates of utilities to calculate quality-adjusted life years. We aimed to develop an estimation algorithm for EuroQol- 5 dimensions (EQ-5D)-based utilities from the clinical UPDRS or disease-specific HrQoL data in the absence of original utilities estimates.METHODS: Linear and fractional polynomial regression analyses were performed with data from a study of Parkinson's disease patients (n=138) to predict the EQ-5D index values from UPDRS and Parkinson's disease questionnaire eight dimensions (PDQ-8) data. German and European weights were used to calculate the EQ-5D index. The models were compared by R(2), the root mean square error (RMS), the Bayesian information criterion, and Pregibon's link test. Three independent data sets validated the models.RESULTS: The regression analyses resulted in a single best prediction model (R(2): 0.713 and 0.684, RMS: 0.139 and 13.78 for indices with German and European weights, respectively) consisting of UPDRS subscores II, III, IVa-c as predictors. When the PDQ-8 items were utilised as independent variables, the model resulted in an R2 of 0.60 and 0.67. The independent data confirmed the prediction models.CONCLUSION: The best results were obtained from a model consisting of UPDRS subscores II, III, IVa-c. Although a good model fit was observed, primary EQ-5D data are always preferable. Further validation of the prediction algorithm within large, independent studies is necessary prior to its generalised use.
KW - Female
KW - Humans
KW - Male
KW - Parkinson Disease
KW - Quality of Life
KW - Severity of Illness Index
KW - Surveys and Questionnaires
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
U2 - 10.1186/1477-7525-11-35
DO - 10.1186/1477-7525-11-35
M3 - SCORING: Journal article
C2 - 23497005
VL - 11
SP - 35
JO - HEALTH QUAL LIFE OUT
JF - HEALTH QUAL LIFE OUT
SN - 1477-7525
ER -
