MDS Abstracts

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

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Articles tagged "Interventions"

  • 2022 International Congress

    A modified Delphi panel to establish a threshold of meaningful progression on MDS-UPDRS Part III

    D. Trundell, L. Barrett, R. Rogers, E. Davies, S. Zanigni, N. Pross, G. Pagano, T. Nikolcheva, S. Cano (Welwyn Garden City, United Kingdom)

    Objective: To establish a threshold for meaningful progression on MDS-UPDRS Part III in an early-stage Parkinson's disease (PD) population (Hoehn & Yahr [H&Y] Stage I–II)…
  • 2022 International Congress

    The STEPWISE Parkinson study: a Smartphone Based Exercise Solution for Patients With Parkinson’s Disease

    S. Schootemeijer, N. de Vries, E. Macklin, A. Ascherio, M. Schwarzschild, B. Bloem (Nijmegen, Netherlands)

    Objective: To investigate the feasibility of a smartphone app (STEPWISE app) to increase the physical activity level (i.e. number of steps) in people with Parkinson’s…
  • 2022 International Congress

    Improving the design of clinical trials in early-stage Parkinson’s disease by using the estimand framework

    J. Anzures-Cabrera, A. Monnet, G. Pagano (Welwyn Garden City, United Kingdom)

    Objective: To show how the estimand framework can be used to improve design of clinical trials testing treatments in early-stage Parkinson’s disease (PD). Background: The…
  • 2022 International Congress

    Effect of exercise on brain metabolism and energetics in PD

    C. Bevington, R. Jayde Williams, B. Pike, J. Mckenzie, J. Zhang, W. Luh, AJ. Stoessl, V. Sossi (Vancouver, Canada)

    Objective: To identity the effect of exercise on brain metabolism and energetics in PD using PET/MR imaging. Background: Aerobic exercise slows PD progression as reflected…
  • 2022 International Congress

    NONINVASIVE BRAINSTEM MODULATION FOR THE TREATMENT OF NONMOTOR SYMPTOMS IN PARKINSON’S DISEASE: A RANDOMIZED CONTROLLED TRIAL AND OPEN LABEL EXTENSION STUDY

    K. Ade (Durham, USA)

    Objective: A multi-site double-blinded pivotal randomized controlled trial (RCT) with an open label extension (OLE) study has been initiated to evaluate the safety and efficacy…
  • 2022 International Congress

    Time-to-event approach mitigates the treatment masking effect of symptomatics on MDS-UPDRS Part III

    S. Zanigni, N. Shariati, T. Simuni, N. Pavese, K. Marek, R. Postuma, A. Monnet, E. Moore, A. Hahn, E. Davies, N. Pross, D. Trundell, T. Nikolcheva, G. Pagano (Basel, Switzerland)

    Objective: To assess whether a time-to-event (TTE) approach may mitigate the masking effect of changing symptomatic therapy on Movement Disorders Society–Unified Parkinson’s Disease (PD) Rating…
  • 2022 International Congress

    Parkinson`s disease in Pandemic Covid

    S. Galbineanu, A. Ailene (Brasov, Romania)

    Objective: SARS-CoV2 infection invades the brain through ACE2 receptors or the cytotoxic aggregation of proteins, including α-synuclein.Studies are uncertain on the risk of COVID and…
  • 2022 International Congress

    Yoga for Functional Neurological Disorder (FND) – A Case Study

    D. Kipnis, K. Kwei, H. Shah, L. Quinn (New York, USA)

    Objective: To describe key components of a yoga program for an individual with FND and evaluate feasibility and efficacy. Background: FND is the second most…
  • 2022 International Congress

    Liraglutide once daily versus placebo in Parkinson’s disease: a randomized, double-blind, placebo-controlled trial

    T. Wu, C. Bresee, J. Wertheimer, E. Hogg, C. Malatt, E. Tan, H. Pomeroy, G. Obialisi, M. Tagliati (Los Angeles, USA)

    Objective: To test safety and efficacy of the glucagon-like peptide 1 (GLP-1) agonist liraglutide in idiopathic Parkinson’s disease (PD). Background: Insulin resistance (IR) may play…
  • 2022 International Congress

    A motor-cognitive intervention impacts daily-living gait and activity in Parkinson’s disease fallers differently than a motor intervention: analysis using a machine learning approach

    K. Cohavi, S. Del Din, E. Gazit, E. Pelosin, L. Avanzino, N. Nieuwboer, B. Bloem, A. Cereatti, U. Croce, L. Rochester, N. Giladi, J. Hausdorff, A. Mirelman (Tel Aviv Yafo, Israel)

    Objective: Applying machine learning (ML) to identify if there were clusters of daily-living gait and physical activity measures that differed among responders to the two…
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