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SCIENTIFIC LITERATURE · MED

Parkinson hastalığındaki motor komplikasyonların KinetiGraphTM kullanılarak tanımlanması ve kantitatif olarak değerlendirilmesi.

Identification and quantitative assessment of motor complications in Parkinson's disease using the Parkinson's KinetiGraph™.

Makine çevirisi · Editoryal inceleme bekliyor

Front Aging Neurosci · 2023-08-01

DOI: 10.3389/fnagi.2023.1142268PMID: 37593376

Open accessresearch-article; Journal ArticleKaynağa git ↗

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IntroductionEffective management and therapies for the motor complications of Parkinson's disease (PD) require appropriate clinical evaluation. The Parkinson's KinetiGraph™ (PKG) is a wearable biosensor system that can record the motion characteristics of PD objectively and remotely.ObjectiveThe study aims to investigate the value of PKG in identifying and quantitatively assessing motor complications including motor fluctuations and dyskinesia in the Chinese PD population, as well as the correlation with the clinical scale assessments.MethodsEighty-four subjects with PD were recruited and continuously wore the PKG for 7 days. Reports with 7-day output data were provided by the manufacturer, including the fluctuation scores (FS) and dyskinesia scores (DKS). Specialists in movement disorders used the Movement Disorder Society-Unified Parkinson's Disease Rating Scale-IV (MDS-UPDRS IV), the wearing-off questionnaire 9 (WOQ-9), and the unified dyskinesia rating scale (UDysRS) for the clinical assessment of motor complications. Spearman correlation analyses were used to evaluate the correlation between the FS and DKS recorded by the PKG and the clinical scale assessment results. Receiver operating characteristic (ROC) curves were generated to analyze the sensitivity and specificity of the FS and DKS scores in the identification of PD motor complications.ResultsThe FS was significantly positively correlated with the MDS-UPDRS IV motor fluctuation (items 4.3-4.5) scores (r = 0.645, p r = 0.629, p r = 0.634, p ConclusionThe PKG assessment of motor complications in the PD population analyzed in this study has a significant correlation with the clinical scale assessment, high sensitivity, and high specificity. Compared with clinical evaluations, PKG can objectively, quantitatively, and remotely identify and assess motor complications in PD, providing a good objective recording for managing motor complications.

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