|Title||Optimizing odor identification testing as quick and accurate diagnostic tool for Parkinson's disease|
|Author(s)||Mahlknecht, Philipp; Pechlaner, Raimund; Boesveldt, Sanne; Volc, Dieter; Pinter, Bernardette; Reiter, Eva; Müller, Christoph; Krismer, Florian; Berendse, Henk W.; Hilten, Jacobus J. van; Wuschitz, Albert; Schimetta, Wolfgang; Högl, Birgit; Djamshidian, Atbin; Nocker, Michael; Göbel, Georg; Gasperi, Arno; Kiechl, Stefan; Willeit, Johann; Poewe, Werner; Seppi, Klaus|
|Source||Movement Disorders 31 (2016)9. - ISSN 0885-3185 - p. 1408 - 1413.|
Chair Sensory Science and Eating Behaviour
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||diagnosis - olfactory dysfunction - Parkinson's disease - parkinsonism - tremor|
Introduction: The aim of this study was to evaluate odor identification testing as a quick, cheap, and reliable tool to identify PD. Methods: Odor identification with the 16-item Sniffin' Sticks test (SS-16) was assessed in a total of 646 PD patients and 606 controls from three European centers (A, B, and C), as well as 75 patients with atypical parkinsonism or essential tremor and in a prospective cohort of 24 patients with idiopathic rapid eye movement sleep behavior disorder (center A). Reduced odor sets most discriminative for PD were determined in a discovery cohort derived from a random split of PD patients and controls from center A using L1-regularized logistic regression. Diagnostic accuracy was assessed in the rest of the patients/controls as validation cohorts. Results: Olfactory performance was lower in PD patients compared with controls and non-PD patients in all cohorts (each P <0.001). Both the full SS-16 and a subscore of the top eight discriminating odors (SS-8) were associated with an excellent discrimination of PD from controls (areas under the curve ≥0.90; sensitivities ≥83.3%; specificities ≥82.0%) and from non-PD patients (areas under the curve ≥0.91; sensitivities ≥84.1%; specificities ≥84.0%) in all cohorts. This remained unchanged when patients with >3 years of disease duration were excluded from analysis. All 8 incident PD cases among patients with idiopathic rapid eye movement sleep behavior disorder were predicted with the SS-16 and the SS-8 (sensitivity, 100%; positive predictive value, 61.5%). Conclusions: Odor identification testing provides excellent diagnostic accuracy in the distinction of PD patients from controls and diagnostic mimics. A reduced set of eight odors could be used as a quick tool in the workup of patients presenting with parkinsonism and for PD risk indication.