Literature DB >> 27589540

An Ambulatory Tremor Score for Parkinson's Disease.

Michelle Braybrook1,2, Sam O'Connor3, Philip Churchward3, Thushara Perera4,5, Parisa Farzanehfar1,2, Malcolm Horne1,2,6.   

Abstract

BACKGROUND: While tremor in Parkinson's Disease (PD) can be characterised in the consulting room, its relationship to treatment and fluctuations can be clinically helpful.
OBJECTIVE: To develop an ambulatory assessment of tremor of PD.
METHODS: Accelerometry data was collected using the Parkinson's KinetiGraph System (PKG, Global Kinetics). An algorithm was developed, which could successfully distinguish been subjects with a resting or postural tremor that involved the wrist whose frequency was greater than 3 Hz. Percent of time that tremor was present (PTT) between 09 : 00 and 18 : 00 was calculated.
RESULTS: This algorithm was applied to 85 people with PD who had been assessed clinically for the presence and nature of tremor. The Sensitivity and Selectivity of a PTT ≥0.8% was 92.5% and 92.9% in identifying tremor, providing that the tremor was not a fine kinetic and postural tremor or was not in the upper limb. A PTT >1% provide high likely hood of the presence of clinical meaningful tremor. These cut-offs were retested on a second cohort (n = 87) with a similar outcome. The Sensitivity and Selectivity of the combined group was 88.7% and 89.5% respectively. Using the PTT, 50% of 22 newly diagnosed patients had a PTT >1.0%.The PKG's simultaneous bradykinesia scores was used to find a threshold for the emergence of tremor. Tremor produced artefactual increase in the PKG's dyskinesia score in 1% of this sample.
CONCLUSIONS: We propose this as a means of assessing the presence of tremor and its relationship to bradykinesia.

Entities:  

Keywords:  Parkinson disease; Tremor; ambulatory monitoring; tremor dominant zzm321990Parkinsons

Mesh:

Year:  2016        PMID: 27589540     DOI: 10.3233/JPD-160898

Source DB:  PubMed          Journal:  J Parkinsons Dis        ISSN: 1877-7171            Impact factor:   5.568


  20 in total

1.  Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson's Disease.

Authors:  Kevin B Wilkins; Matthew N Petrucci; Yasmine Kehnemouyi; Anca Velisar; Katie Han; Gerrit Orthlieb; Megan H Trager; Johanna J O'Day; Sudeep Aditham; Helen Bronte-Stewart
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

2.  Can Valproic Acid Regulate Neurogenesis from Nestin+ Cells in the Adult Midbrain?

Authors:  Parisa Farzanehfar; Malcolm K Horne; Tim D Aumann
Journal:  Neurochem Res       Date:  2017-04-22       Impact factor: 3.996

3.  Assessment of Wearing Off in Parkinson's disease using objective measurement.

Authors:  Parisa Farzanehfar; Holly Woodrow; Malcolm Horne
Journal:  J Neurol       Date:  2020-09-15       Impact factor: 4.849

Review 4.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

Review 5.  Point of view: Wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information.

Authors:  Behnaz Ghoraani; James E Galvin; Joohi Jimenez-Shahed
Journal:  Parkinsonism Relat Disord       Date:  2021-01-30       Impact factor: 4.891

6.  Do neuropsychiatric fluctuations temporally match motor fluctuations in Parkinson's disease?

Authors:  Eleonora Del Prete; Emmanuelle Schmitt; Sara Meoni; Valerie Fraix; Anna Castrioto; Pierre Pelissier; Roberto Ceravolo; Elena Moro
Journal:  Neurol Sci       Date:  2022-01-19       Impact factor: 3.307

7.  Qualitative Evaluation of the Personal KinetiGraphTM Movement Recording System in a Parkinson's Clinic.

Authors:  Anthony Santiago; James W Langston; Rita Gandhy; Rohit Dhall; Salima Brillman; Linda Rees; Carrolee Barlow
Journal:  J Parkinsons Dis       Date:  2019       Impact factor: 5.568

8.  Objective measurement in routine care of people with Parkinson's disease improves outcomes.

Authors:  Parisa Farzanehfar; Holly Woodrow; Michelle Braybrook; Sarah McGregor; Andrew Evans; Frank Nicklason; Malcolm Horne
Journal:  NPJ Parkinsons Dis       Date:  2018-04-03

9.  Objective measurement in Parkinson's disease: a descriptive analysis of Parkinson's symptom scores from a large population of patients across the world using the Personal KinetiGraph®.

Authors:  Rajesh Pahwa; Filip Bergquist; Malcolm Horne; Michael E Minshall
Journal:  J Clin Mov Disord       Date:  2020-04-30

Review 10.  Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).

Authors:  Jennifer C Goldsack; Andrea Coravos; Jessie P Bakker; Brinnae Bent; Ariel V Dowling; Cheryl Fitzer-Attas; Alan Godfrey; Job G Godino; Ninad Gujar; Elena Izmailova; Christine Manta; Barry Peterson; Benjamin Vandendriessche; William A Wood; Ke Will Wang; Jessilyn Dunn
Journal:  NPJ Digit Med       Date:  2020-04-14
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