Literature DB >> 33674597

Gait speed in clinical and daily living assessments in Parkinson's disease patients: performance versus capacity.

Arash Atrsaei1,2, Marta Francisca Corrà3,4, Farzin Dadashi5, Nuno Vila-Chã4, Luis Maia4, Benoit Mariani5, Walter Maetzler6, Kamiar Aminian7.   

Abstract

Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions provides the actual performance of the patient. The goal of this study was to investigate objectively under what conditions during daily activities, patients perform as well as or better than in the clinic. To this end, we recruited 27 Parkinson's disease (PD) patients and measured their gait speed by inertial measurement units through several walking tests in the clinic as well as their daily activities at home. By fitting a bimodal Gaussian model to their gait speed distribution, we found that on average, patients had similar modes in the clinic and during daily activities. Furthermore, we observed that the number of medication doses taken throughout the day had a moderate correlation with the difference between clinic and home. Performing a cycle-by-cycle analysis on gait speed during the home assessment, overall only about 3% of the strides had equal or greater gait speeds than the patients' capacity in the clinic. These strides were during long walking bouts (>1 min) and happened before noon, around 26 min after medication intake, reaching their maximum occurrence probability 3 h after Levodopa intake. These results open the possibility of better control of medication intake in PD by considering both functional capacity and continuous monitoring of gait speed during real-life conditions.

Entities:  

Year:  2021        PMID: 33674597     DOI: 10.1038/s41531-021-00171-0

Source DB:  PubMed          Journal:  NPJ Parkinsons Dis        ISSN: 2373-8057


  32 in total

1.  Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes.

Authors:  Kamiar Aminian; B Najafi; C Büla; P-F Leyvraz; Ph Robert
Journal:  J Biomech       Date:  2002-05       Impact factor: 2.712

2.  Assessment of spatio-temporal gait parameters from trunk accelerations during human walking.

Authors:  Wiebren Zijlstra; At L Hof
Journal:  Gait Posture       Date:  2003-10       Impact factor: 2.840

3.  3D gait assessment in young and elderly subjects using foot-worn inertial sensors.

Authors:  Benoit Mariani; Constanze Hoskovec; Stephane Rochat; Christophe Büla; Julien Penders; Kamiar Aminian
Journal:  J Biomech       Date:  2010-07-24       Impact factor: 2.712

Review 4.  Clinical and methodological challenges for assessing freezing of gait: Future perspectives.

Authors:  Martina Mancini; Bastiaan R Bloem; Fay B Horak; Simon J G Lewis; Alice Nieuwboer; Jorik Nonnekes
Journal:  Mov Disord       Date:  2019-05-02       Impact factor: 10.338

5.  Long-term monitoring of gait in Parkinson's disease.

Authors:  Steven T Moore; Hamish G MacDougall; Jean-Michel Gracies; Helen S Cohen; William G Ondo
Journal:  Gait Posture       Date:  2006-10-13       Impact factor: 2.840

6.  Abnormalities in the stride length-cadence relation in parkinsonian gait.

Authors:  M Morris; R Iansek; T Matyas; J Summers
Journal:  Mov Disord       Date:  1998-01       Impact factor: 10.338

7.  Continuous Assessment of Levodopa Response in Parkinson's Disease Using Wearable Motion Sensors.

Authors:  Christopher L Pulliam; Dustin A Heldman; Elizabeth B Brokaw; Thomas O Mera; Zoltan K Mari; Michelle A Burack
Journal:  IEEE Trans Biomed Eng       Date:  2017-04-25       Impact factor: 4.538

8.  Systematic evaluation of rating scales for impairment and disability in Parkinson's disease.

Authors:  Claudia Ramaker; Johan Marinus; Anne Margarethe Stiggelbout; Bob Johannes Van Hilten
Journal:  Mov Disord       Date:  2002-09       Impact factor: 10.338

9.  Instrumenting gait with an accelerometer: a system and algorithm examination.

Authors:  A Godfrey; S Del Din; G Barry; J C Mathers; L Rochester
Journal:  Med Eng Phys       Date:  2015-03-04       Impact factor: 2.242

10.  Strategies for the Treatment of Parkinson's Disease: Beyond Dopamine.

Authors:  Alexandre Iarkov; George E Barreto; J Alex Grizzell; Valentina Echeverria
Journal:  Front Aging Neurosci       Date:  2020-01-31       Impact factor: 5.750

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  10 in total

1.  Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.

Authors:  Yuezhou Zhang; Amos A Folarin; Shaoxiong Sun; Nicholas Cummins; Srinivasan Vairavan; Linglong Qian; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Petroula Laiou; Heet Sankesara; Faith Matcham; Katie M White; Carolin Oetzmann; Alina Ivan; Femke Lamers; Sara Siddi; Sara Simblett; Aki Rintala; David C Mohr; Inez Myin-Germeys; Til Wykes; Josep Maria Haro; Brenda W J H Penninx; Vaibhav A Narayan; Peter Annas; Matthew Hotopf; Richard J B Dobson
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-04       Impact factor: 4.947

2.  Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease.

Authors:  George Roussos; Teresa Ruiz Herrero; Derek L Hill; Ariel V Dowling; Martijn L T M Müller; Luc J W Evers; Jackson Burton; Adrian Derungs; Katherine Fisher; Krishna Praneeth Kilambi; Nitin Mehrotra; Roopal Bhatnagar; Sakshi Sardar; Diane Stephenson; Jamie L Adams; E Ray Dorsey; Josh Cosman
Journal:  NPJ Digit Med       Date:  2022-07-15

3.  A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.

Authors:  Robbin Romijnders; Elke Warmerdam; Clint Hansen; Gerhard Schmidt; Walter Maetzler
Journal:  Sensors (Basel)       Date:  2022-05-19       Impact factor: 3.847

4.  Effect of Fear of Falling on Mobility Measured During Lab and Daily Activity Assessments in Parkinson's Disease.

Authors:  Arash Atrsaei; Clint Hansen; Morad Elshehabi; Susanne Solbrig; Daniela Berg; Inga Liepelt-Scarfone; Walter Maetzler; Kamiar Aminian
Journal:  Front Aging Neurosci       Date:  2021-11-30       Impact factor: 5.750

5.  Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds.

Authors:  Charlotte Werner; Chris Awai Easthope; Armin Curt; László Demkó
Journal:  Sensors (Basel)       Date:  2021-11-06       Impact factor: 3.576

Review 6.  Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.

Authors:  Ashley Polhemus; Laura Delgado Ortiz; Gavin Brittain; Nikolaos Chynkiamis; Francesca Salis; Heiko Gaßner; Michaela Gross; Cameron Kirk; Rachele Rossanigo; Kristin Taraldsen; Diletta Balta; Sofie Breuls; Sara Buttery; Gabriela Cardenas; Christoph Endress; Julia Gugenhan; Alison Keogh; Felix Kluge; Sarah Koch; M Encarna Micó-Amigo; Corinna Nerz; Chloé Sieber; Parris Williams; Ronny Bergquist; Magda Bosch de Basea; Ellen Buckley; Clint Hansen; A Stefanie Mikolaizak; Lars Schwickert; Kirsty Scott; Sabine Stallforth; Janet van Uem; Beatrix Vereijken; Andrea Cereatti; Heleen Demeyer; Nicholas Hopkinson; Walter Maetzler; Thierry Troosters; Ioannis Vogiatzis; Alison Yarnall; Clemens Becker; Judith Garcia-Aymerich; Letizia Leocani; Claudia Mazzà; Lynn Rochester; Basil Sharrack; Anja Frei; Milo Puhan
Journal:  NPJ Digit Med       Date:  2021-10-14

7.  Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson's Disease Classification Using Machine Learning.

Authors:  Rana Zia Ur Rehman; Yu Guan; Jian Qing Shi; Lisa Alcock; Alison J Yarnall; Lynn Rochester; Silvia Del Din
Journal:  Front Aging Neurosci       Date:  2022-03-22       Impact factor: 5.750

8.  An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease.

Authors:  Luis R Peraza; Kirsi M Kinnunen; Roisin McNaney; Ian J Craddock; Alan L Whone; Catherine Morgan; Richard Joules; Robin Wolz
Journal:  Sensors (Basel)       Date:  2021-12-11       Impact factor: 3.576

9.  Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease.

Authors:  Florian Lipsmeier; Kirsten I Taylor; Ronald B Postuma; Ekaterina Volkova-Volkmar; Timothy Kilchenmann; Brit Mollenhauer; Atieh Bamdadian; Werner L Popp; Wei-Yi Cheng; Yan-Ping Zhang; Detlef Wolf; Jens Schjodt-Eriksen; Anne Boulay; Hanno Svoboda; Wagner Zago; Gennaro Pagano; Michael Lindemann
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

10.  Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke.

Authors:  Johannes Pohl; Alain Ryser; Janne Marieke Veerbeek; Geert Verheyden; Julia Elisabeth Vogt; Andreas Rüdiger Luft; Chris Awai Easthope
Journal:  Front Physiol       Date:  2022-09-26       Impact factor: 4.755

  10 in total

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