MDS Abstracts

Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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Articles tagged "Scales"

  • 2017 International Congress

    Segregation of subjective and objective clinical measures in Parkinson’s disease

    K. Markopoulou, R. Frigerio, A. Premkumar, B. Schoneburg, M. Dudek, S. Walters, C. Wang, D. Maraganore (Evanston, IL, USA)

    Objective: Use standardized measures to characterize disease severity, progression, and outcomes in Parkinson’s disease (PD). Background: Subjective and objective standardized measures are usually performed in…
  • 2017 International Congress

    Development of a Paroxysmal Movement Disorder Diary for Patients with Glucose Transporter Type 1 Deficiency Syndrome (Glut1 DS)

    R. Hall, S. Kilgariff, P. Collins, M. Brandabur, R. Arbuckle, A. Bowden (Macclesfield, United Kingdom)

    Objective: To perform qualitative research to develop and establish content validity of a new clinical outcome assessment (COA) instrument for paroxysmal movement disorders in Glut1…
  • 2017 International Congress

    Item Response Theory Analysis of the MDS-UPDRS Items

    G. Stebbins, C. Goetz, Y. Liu, S. Luo (Chicago, IL, USA)

    Objective: To investigate the measurement characteristics of the MDS-UPDRS using item response theory (IRT) approaches. Background: The MDS-UPDRS has become the most frequently used assessment…
  • 2017 International Congress

    Assessments of Movement Disorder Symptoms and Functional Impacts in Glucose Transporter Type 1 Deficiency Syndrome (Glut1 DS)

    A. Bowden, S. Blair, K. Wesdock, M. Haller, M. Brandabur, P. Collins, A. Skrinar, J. Mayhew (Novato, CA, USA)

    Objective: To identify Clinical Outcome Assessments (COAs) appropriate for the evaluation of paroxysmal movement disorder symptoms and functional impact in Glut1 DS. Background: Glut1 DS…
  • 2017 International Congress

    Differential Item Functioning in the Unified Dyskinesia Rating Scale (UDysRS)

    S. Luo, G. Stebbins, Y. Liu, C. Goetz (Houston, TX, USA)

    Objective: Test if differential item functioning (DIF) due to gender, age, race/ethnicity or education level is present in UDysRS items.    Background: Testing a rating…
  • 2017 International Congress

    Using measurements from wearable sensors for automatic scoring of Parkinson’s disease motor states

    I. Thomas, F. Bergquist, R. Constantinescu, D. Nyholm, M. Senek, M. Memedi (Falun, Sweden)

    Objective: The aim of this study was to investigate the concurrent validity of an objective gait measure for assessment of motor states in advanced Parkinson’s…
  • 2017 International Congress

    The 3-step clinical prediction tool for falls in Parkinson’s disease: can it be used as a self-assessment measure?

    L. Mewburn, N. Allen, R. Adams, C. Canning (Lidcombe, Sydney, Australia)

    Objective: To determine if people with Parkinson’s disease (PD) are able to estimate their gait speed relative to a threshold speed of 1.1 m/s. Background:…
  • 2017 International Congress

    PDSS: A Novel Mobile-based Parkinson Disease Severity Score

    A. Zhan, S. Mohan, M. Elson, E. Dorsey, A. Terzis, S. Saria (Baltimore, MD, USA)

    Objective: To propose a novel mobile-based Parkinson Disease Severity Score (PDSS) to provide high resolution and objective severity monitoring for patients in the home setting.…
  • 2017 International Congress

    Physical Activity in Early Parkinson Disease

    S. Mantri, M. Fullard, J. Duda, J. Morley (Philadelphia, PA, USA)

    Objective: To characterize physical activity habits in patients with early Parkinson disease (PD). Background: Physical activity is an important therapy for PD as it may…
  • 2017 International Congress

    Autonomous Tracking of Body Bradykinesia during Unconstrained Activities in Parkinson’s Disease

    S. Roy, B. Shiwani, J. Kline, M. Saint-Hilaire, C. Thomas, M. Gennert, G. De Luca (Natick, MA, USA)

    Objective: To develop an algorithm for real-time automated detection of body bradykinesia during unconstrained activities using combined inertial measurement (IMU) and electromyographic (EMG) sensor data.…
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