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Updated: Jun 2, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
A simplified algorithm may lead to overestimate dementia in PD. A clinical and epidemiological study using criteria
M E Di Battista1, P Giustini, S Bernardi
1Centro Parkinson D.A.I. Neurologia e Pischiatria Policlinico Universitario Umberto I, Sapienza Università di Roma, Viale dell'Università 30, Rome, Italy.
Abstract:
Making an accurate diagnosis of dementia in Parkinson's disease (PD-D) patients is a challenge that neurologists will have to face in the coming years. In 2007, a Task force of the Movement Disorders Society proposed operational diagnostic criteria for the diagnosis of PD-D, consisting of step I and step II. We assessed the validity of step I with reference to the diagnosis made after a formal neuropsychological evaluation and by applying the current gold standard for the diagnosis of PD-D (DSM IV). Step I had a sensitivity of 78% and a specificity of 95.5%. Step I displayed a positive predictive value of 70%, a negative predictive value of 97%, and an accuracy of 93.4%. The clinimetric properties observed in our setting suggest that step I may be considered as a good screening tool (negative predictive value of 97%); however, using step I alone to make a diagnosis of PD-D may lead to an overestimation of dementia in PD, particularly in patients with considerable dysexecutive deficits (positive predictive value of 70%). In conclusion, formal neuropsychology and longitudinal follow-up are still required for the diagnosis and categorization of dementia in PD.
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