Journal
NEUROLOGY
Volume 81, Issue 14, Pages 1226-1234Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1212/WNL.0b013e3182a6cbd5
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Funding
- Paracelsus-Elena-Klinik, Kassel, Germany
- TEVA Pharma/Lundbeck
- GE Health care
- Hermann und Lilly Schilling Foundation
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Objective: To determine nonmotor signs (NMS) and evaluate the utility of several diagnostic tools in patients with de novo Parkinson disease (PD). Methods: This is a large single-center study of the DeNoPa cohort, including frequency-matched healthy controls. This study covers motor signs, NMS, and a combination of diagnostic tests including olfactory testing, transcranial sonography of substantia nigra (TCS), and polysomnography (PSG). We report the frequency and characteristics of NMS and the outcomes of nonmotor tests at the time of diagnosis. Results: Cross-sectional analyses of baseline investigations identified significant differences in the NMS Questionnaire (NMSQuest) and the Scopa-AUT Gastrointestinal score in 159 drug-naive PD patients vs 110 controls. In addition, patients with PD showed reduced olfactory function, hyperechogenicity on TCS, and higher frequency of REM sleep behavior disorder (RBD). In exploring predictive markers, we found that the combination of several investigations, i.e., the NMSQuest, Scopa-AUT Gastrointestinal score, and Smell Identification Test reached an area under the receiver operating characteristic curve (AUC) of 0.913 (95% confidence interval [CI] 0.878-0.948). With the addition of serum cholesterol and mean heart rate values, the AUC value reached 0.919 (95% CI 886-0.953); when TCS and PSG were added, the AUC increased to 0.963 (95% CI 0.943-0.982). Conclusions: We show feasibility and utility of standardized data acquisition in a large, single-center cohort of patients with de novo PD and matched healthy controls. The baseline results from our prospective investigations reached a value of >0.9 sensitivity and specificity for biological markers when we added routine laboratory investigations and quantified nonmotor features including sleep.
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