Technology-based assessment of motor and nonmotor phenomena in Parkinson disease

Merola, Aristide; Sturchio, Andrea; Hacker, Stephanie; Serna, Santiago Padilla Díaz de la; Vizcarra, Joaquín A.; Marsili, Luca; Fasano, Alfonso; Espay, Alberto J.

doi:10.1080/14737175.2018.1530593

Cited by 36 publications

(32 citation statements)

References 145 publications

(97 reference statements)

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“…Such objective markers might be predictive as well as sensitive to subtle progressive prodromal changes. However, sensor-based quantitative motor 40,41 and nonmotor markers (eg, cardiac/ autonomous dysfunction) in (prodromal) PD [41][42][43] require further prospective evidence and standardization of methods. 4.…”

Section: Promising Candidate Markersmentioning

confidence: 99%

Update of the MDS research criteria for prodromal Parkinson's disease

et al. 2019

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The MDS Research Criteria for Prodromal PD allow the diagnosis of prodromal Parkinson's disease using an evidence‐based conceptual framework, which was designed to be updated as new evidence becomes available. New prospective evidence of predictive values of risk and prodromal markers published since 2015 was reviewed and integrated into the criteria. Many of the predictive values (likelihood ratios, LR) remain unchanged. The positive likelihood ratio notably increase for olfactory loss and decreased for substantia nigra hyperechogenicity. Negative likelihood ratio remained largely unchanged for all markers. New levels of diagnostic certainty for neurogenic and symptomatic orthostatic hypotension have been added, which substantially differ in positive likelihood ratio from the original publication. For intermediate strength genetic variants, their age‐related penetrance is now incorporated in the calculation of the positive likelihood ratio. Moreover, apart from prospective studies, evidence from cross‐sectional case‐control genome‐wide association studies is also considered (given their likely lack of confounding and reverse causation), and to account for the effect of multiple low‐penetrance genetic variants polygenic risk scores are added to the model. Diabetes, global cognitive deficit, physical inactivity, and low plasma urate levels in men enter the criteria as new markers. A web‐based prodromal PD risk calculator allows the calculation of probabilities of prodromal PD for individuals. Several promising candidate markers may improve the diagnostic accuracy of prodromal PD in the future. © 2019 International Parkinson and Movement Disorder Society

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Section: Promising Candidate Markersmentioning

confidence: 99%

Update of the MDS research criteria for prodromal Parkinson's disease

et al. 2019

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“…We provide the experimental basis for further exploration into the kinematics mechanism of PD. This will also enhance early and differential diagnosis [ 41 , 42 ], in addition to providing strategies of improving the management of PD. The shortcomings and prospects of current evaluation tools are also described.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Wearable Sensor Devices in Parkinson’s Disease: A Review of Current Status and Future Prospects

et al. 2020

Parkinson's Disease

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Parkinson’s disease (PD) decreases the quality of life of the affected individuals. The incidence of PD is expected to increase given the growing aging population. Motor symptoms associated with PD render the patients unable to self-care and function properly. Given that several drugs have been developed to control motor symptoms, highly sensitive scales for clinical evaluation of drug efficacy are needed. Among such scales, the objective and continuous evaluation of wearable devices is increasingly utilized by clinicians and patients. Several electronic technologies have revolutionized the clinical monitoring of PD development, especially its motor symptoms. Here, we review and discuss the recent advances in the development of wearable devices for bradykinesia, tremor, gait, and myotonia. Our aim is to capture the experiences of patients and clinicians, as well as expand our understanding on the application of wearable technology. In so-doing, we lay the foundation for further research into the use of wearable technology in the management of PD.

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“…This led to some ethical and legal issues, mainly related to the maintenance of boundaries or to the respect of privacy and personal data (6). Finally, digital devices, including wearable devices and exergames (i.e., the use of commercial video games for retraining impaired functions), are increasingly entering the clinical practice, complementing the more traditional tools for monitoring performance or providing exercise (2,(7)(8)(9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%