Literature DB >> 35224425

A Smartphone Application as an Exploratory Endpoint in a Phase 3 Parkinson's Disease Clinical Trial: A Pilot Study.

Alex Page1,2, Norman Yung1, Peggy Auinger1,2, Charles Venuto1,2, Alistair Glidden1, Eric Macklin3, Larsson Omberg4, Michael A Schwarzschild5, E Ray Dorsey1,2.   

Abstract

BACKGROUND: Smartphones can generate objective measures of Parkinson's disease (PD) and supplement traditional in-person rating scales. However, smartphone use in clinical trials has been limited.
OBJECTIVE: This study aimed to determine the feasibility of introducing a smartphone research application into a PD clinical trial and to evaluate the resulting measures.
METHODS: A smartphone application was introduced part-way into a phase 3 randomized clinical trial of inosine. The application included finger tapping, gait, and cognition tests, and participants were asked to complete an assessment battery at home and in clinic alongside the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS).
RESULTS: Of 236 eligible participants in the parent study, 88 (37%) consented to participate, and 59 (27 randomized to inosine and 32 to placebo) completed a baseline smartphone assessment. These 59 participants collectively completed 1,292 batteries of assessments. The proportion of participants who completed at least one smartphone assessment was 61% at 3, 54% at 6, and 35% at 12 months. Finger tapping speed correlated weakly with the part III motor portion (r = -0.16, left hand; r = -0.04, right hand) and total (r = -0.14) MDS-UPDRS. Gait speed correlated better with the same measures (r = -0.25, part III motor; r = -0.34, total). Over 6 months, finger tapping speed, gait speed, and memory scores did not differ between those randomized to active drug or placebo.
CONCLUSIONS: Introducing a smartphone application midway into a phase 3 clinical trial was challenging. Measures of bradykinesia and gait speed correlated modestly with traditional outcomes and were consistent with the study's overall findings, which found no benefit of the active drug.
Copyright © 2022 by S. Karger AG, Basel.

Entities:  

Keywords:  Clinical trial; Cognition; Gait; Inosine; Movement; Parkinson disease; Smartphone; Telemedicine

Year:  2022        PMID: 35224425      PMCID: PMC8832247          DOI: 10.1159/000521232

Source DB:  PubMed          Journal:  Digit Biomark        ISSN: 2504-110X


  23 in total

1.  Capturing ambulatory activity decline in Parkinson's disease.

Authors:  James T Cavanaugh; Terry D Ellis; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Leland E Dibble
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

Review 2.  A roadmap for implementation of patient-centered digital outcome measures in Parkinson's disease obtained using mobile health technologies.

Authors:  Alberto J Espay; Jeffrey M Hausdorff; Álvaro Sánchez-Ferro; Jochen Klucken; Aristide Merola; Paolo Bonato; Serene S Paul; Fay B Horak; Joaquin A Vizcarra; Tiago A Mestre; Ralf Reilmann; Alice Nieuwboer; E Ray Dorsey; Lynn Rochester; Bastiaan R Bloem; Walter Maetzler
Journal:  Mov Disord       Date:  2019-03-22       Impact factor: 10.338

3.  Effect of Urate-Elevating Inosine on Early Parkinson Disease Progression: The SURE-PD3 Randomized Clinical Trial.

Authors:  Michael A Schwarzschild; Alberto Ascherio; Cindy Casaceli; Gary C Curhan; Rebecca Fitzgerald; Cornelia Kamp; Codrin Lungu; Eric A Macklin; Kenneth Marek; Dariush Mozaffarian; David Oakes; Alice Rudolph; Ira Shoulson; Aleksandar Videnovic; Burton Scott; Lisa Gauger; Jason Aldred; Melissa Bixby; Jill Ciccarello; Steven A Gunzler; Claire Henchcliffe; Matthew Brodsky; Kellie Keith; Robert A Hauser; Christopher Goetz; Mark S LeDoux; Vanessa Hinson; Rajeev Kumar; Alberto J Espay; Joohi Jimenez-Shahed; Christine Hunter; Chadwick Christine; Aaron Daley; Maureen Leehey; J Antonelle de Marcaida; Joseph Harold Friedman; Albert Hung; Grace Bwala; Irene Litvan; David K Simon; Tanya Simuni; Cynthia Poon; Mya C Schiess; Kelvin Chou; Ariane Park; Danish Bhatti; Carolyn Peterson; Susan R Criswell; Liana Rosenthal; Jennifer Durphy; Holly A Shill; Shyamal H Mehta; Anwar Ahmed; Andres F Deik; John Y Fang; Natividad Stover; Lin Zhang; Richard B Dewey; Ashley Gerald; James T Boyd; Emily Houston; Valerie Suski; Sherri Mosovsky; Leslie Cloud; Binit B Shah; Marie Saint-Hilaire; Raymond James; Sarah Elizabeth Zauber; Stephen Reich; David Shprecher; Rajesh Pahwa; April Langhammer; Kathrin LaFaver; Peter A LeWitt; Patricia Kaminski; John Goudreau; Doozie Russell; David J Houghton; Ashley Laroche; Karen Thomas; Martha McGraw; Zoltan Mari; Carmen Serrano; Karen Blindauer; Marcie Rabin; Roger Kurlan; John C Morgan; Michael Soileau; Melissa Ainslie; Ivan Bodis-Wollner; Ruth B Schneider; Cheryl Waters; Amber Servi Ratel; Christopher A Beck; Patrick Bolger; Katherine F Callahan; Grace F Crotty; David Klements; Melissa Kostrzebski; Gearoid Michael McMahon; Lindsay Pothier; Sushrut S Waikar; Anthony Lang; Tiago Mestre
Journal:  JAMA       Date:  2021-09-14       Impact factor: 56.272

Review 4.  The First Frontier: Digital Biomarkers for Neurodegenerative Disorders.

Authors:  E Ray Dorsey; Spyros Papapetropoulos; Mulin Xiong; Karl Kieburtz
Journal:  Digit Biomark       Date:  2017-07-04

5.  Rivastigmine for gait stability in patients with Parkinson's disease (ReSPonD): a randomised, double-blind, placebo-controlled, phase 2 trial.

Authors:  Emily J Henderson; Stephen R Lord; Matthew A Brodie; Daisy M Gaunt; Andrew D Lawrence; Jacqueline C T Close; A L Whone; Y Ben-Shlomo
Journal:  Lancet Neurol       Date:  2016-01-13       Impact factor: 44.182

6.  A Validated Smartphone-Based Assessment of Gait and Gait Variability in Parkinson's Disease.

Authors:  Robert J Ellis; Yee Sien Ng; Shenggao Zhu; Dawn M Tan; Boyd Anderson; Gottfried Schlaug; Ye Wang
Journal:  PLoS One       Date:  2015-10-30       Impact factor: 3.240

7.  Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial.

Authors:  Florian Lipsmeier; Kirsten I Taylor; Timothy Kilchenmann; Detlef Wolf; Alf Scotland; Jens Schjodt-Eriksen; Wei-Yi Cheng; Ignacio Fernandez-Garcia; Juliane Siebourg-Polster; Liping Jin; Jay Soto; Lynne Verselis; Frank Boess; Martin Koller; Michael Grundman; Andreas U Monsch; Ronald B Postuma; Anirvan Ghosh; Thomas Kremer; Christian Czech; Christian Gossens; Michael Lindemann
Journal:  Mov Disord       Date:  2018-04-27       Impact factor: 10.338

8.  Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models.

Authors:  Luca Lonini; Andrew Dai; Nicholas Shawen; Tanya Simuni; Cynthia Poon; Leo Shimanovich; Margaret Daeschler; Roozbeh Ghaffari; John A Rogers; Arun Jayaraman
Journal:  NPJ Digit Med       Date:  2018-11-23

9.  Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements.

Authors:  Murtadha D Hssayeni; Joohi Jimenez-Shahed; Michelle A Burack; Behnaz Ghoraani
Journal:  Sensors (Basel)       Date:  2019-09-28       Impact factor: 3.576

10.  Remote smartphone monitoring of Parkinson's disease and individual response to therapy.

Authors:  Larsson Omberg; Elias Chaibub Neto; Thanneer M Perumal; Abhishek Pratap; Aryton Tediarjo; Jamie Adams; Bastiaan R Bloem; Brian M Bot; Molly Elson; Samuel M Goldman; Michael R Kellen; Karl Kieburtz; Arno Klein; Max A Little; Ruth Schneider; Christine Suver; Christopher Tarolli; Caroline M Tanner; Andrew D Trister; John Wilbanks; E Ray Dorsey; Lara M Mangravite
Journal:  Nat Biotechnol       Date:  2021-08-09       Impact factor: 54.908

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