Literature DB >> 33325373

Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study.

Elisa Bruno1, Andrea Biondi1, Sebastian Böttcher2, Gergely Vértes3, Richard Dobson1, Amos Folarin1, Yatharth Ranjan1, Zulqarnain Rashid1, Nikolay Manyakov4, Aki Rintala5,6, Inez Myin-Germeys5, Sara Simblett1, Til Wykes1, Amanda Stoneman7, Ann Little7, Sarah Thorpe7, Simon Lees7, Andreas Schulze-Bonhage2, Mark Richardson1.   

Abstract

BACKGROUND: In recent years, a growing body of literature has highlighted the role of wearable and mobile remote measurement technology (RMT) applied to seizure detection in hospital settings, whereas more limited evidence has been produced in the community setting. In clinical practice, seizure assessment typically relies on self-report, which is known to be highly unreliable. Moreover, most people with epilepsy self-identify factors that lead to increased seizure likelihood, including mood, behavior, sleep pattern, and cognitive alterations, all of which are amenable to measurement via multiparametric RMT.
OBJECTIVE: The primary aim of this multicenter prospective cohort study is to assess the usability, feasibility, and acceptability of RMT in the community setting. In addition, this study aims to determine whether multiparametric RMT collected in populations with epilepsy can prospectively estimate variations in seizure occurrence and other outcomes, including seizure frequency, quality of life, and comorbidities.
METHODS: People with a diagnosis of pharmacoresistant epilepsy will be recruited in London, United Kingdom, and Freiburg, Germany. Participants will be asked to wear a wrist-worn device and download ad hoc apps developed on their smartphones. The apps will be used to collect data related to sleep, physical activity, stress, mood, social interaction, speech patterns, and cognitive function, both passively from existing smartphone sensors (passive remote measurement technology [pRMT]) and actively via questionnaires, tasks, and assessments (active remote measurement technology [aRMT]). Data will be collected continuously for 6 months and streamed to the Remote Assessment of Disease and Relapse-base (RADAR-base) server.
RESULTS: The RADAR Central Nervous System project received funding in 2015 from the Innovative Medicines Initiative 2 Joint Undertaking under Grant Agreement No. 115902. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and European Federation of Pharmaceutical Industries and Associations. Ethical approval was obtained in London from the Bromley Research Ethics Committee (research ethics committee reference: 19/LO/1884) in January 2020. The first participant was enrolled on September 30, 2020. Data will be collected until September 30, 2021. The results are expected to be published at the beginning of 2022.
CONCLUSIONS: RADAR Epilepsy aims at developing a framework of continuous data collection intended to identify ictal and preictal states through the use of aRMT and pRMT in the real-life environment. The study was specifically designed to evaluate the clinical usefulness of the data collected via new technologies and compliance, technology acceptability, and usability for patients. These are key aspects to successful adoption and implementation of RMT as a new way to measure and manage long-term disorders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/21840. ©Elisa Bruno, Andrea Biondi, Sebastian Böttcher, Gergely Vértes, Richard Dobson, Amos Folarin, Yatharth Ranjan, Zulqarnain Rashid, Nikolay Manyakov, Aki Rintala, Inez Myin-Germeys, Sara Simblett, Til Wykes, Amanda Stoneman, Ann Little, Sarah Thorpe, Simon Lees, Andreas Schulze-Bonhage, Mark Richardson. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.12.2020.

Entities:  

Keywords:  epilepsy; medical device; mobile phone; seizures; telemedicine

Year:  2020        PMID: 33325373      PMCID: PMC7773514          DOI: 10.2196/21840

Source DB:  PubMed          Journal:  JMIR Res Protoc        ISSN: 1929-0748


  49 in total

Review 1.  The epidemiology of epilepsy in Europe - a systematic review.

Authors:  L Forsgren; E Beghi; A Oun; M Sillanpää
Journal:  Eur J Neurol       Date:  2005-04       Impact factor: 6.089

2.  Epilepsy and the quality of everyday life. Findings from a study of people with well-controlled epilepsy.

Authors:  A Jacoby
Journal:  Soc Sci Med       Date:  1992-03       Impact factor: 4.634

3.  The Work and Social Adjustment Scale: a simple measure of impairment in functioning.

Authors:  James C Mundt; Isaac M Marks; M Katherine Shear; John H Greist
Journal:  Br J Psychiatry       Date:  2002-05       Impact factor: 9.319

Review 4.  Multimodal seizure detection: A review.

Authors:  Frans S S Leijten
Journal:  Epilepsia       Date:  2018-06       Impact factor: 5.864

5.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

Authors:  Robert L Spitzer; Kurt Kroenke; Janet B W Williams; Bernd Löwe
Journal:  Arch Intern Med       Date:  2006-05-22

Review 6.  Automated seizure detection systems and their effectiveness for each type of seizure.

Authors:  A Ulate-Campos; F Coughlin; M Gaínza-Lein; I Sánchez Fernández; P L Pearl; T Loddenkemper
Journal:  Seizure       Date:  2016-06-17       Impact factor: 3.184

7.  Hungarian multicentre epidemiologic study of the warning and initial symptoms (prodrome, aura) of epileptic seizures.

Authors:  P Rajna; B Clemens; E Csibri; E Dobos; A Geregely; M Gottschal; I György; A Horváth; F Horváth; L Mezöfi; I Velkey; J Veres; E Wagner
Journal:  Seizure       Date:  1997-10       Impact factor: 3.184

8.  Mobile mental health: a challenging research agenda.

Authors:  Miranda Olff
Journal:  Eur J Psychotraumatol       Date:  2015-05-19

9.  Estimation of the burden of active and life-time epilepsy: a meta-analytic approach.

Authors:  Anthony K Ngugi; Christian Bottomley; Immo Kleinschmidt; Josemir W Sander; Charles R Newton
Journal:  Epilepsia       Date:  2010-01-07       Impact factor: 5.864

10.  RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices.

Authors:  Yatharth Ranjan; Zulqarnain Rashid; Callum Stewart; Pauline Conde; Mark Begale; Denny Verbeeck; Sebastian Boettcher; Richard Dobson; Amos Folarin
Journal:  JMIR Mhealth Uhealth       Date:  2019-08-01       Impact factor: 4.773

View more
  1 in total

1.  Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study).

Authors:  Callum Stewart; Yatharth Ranjan; Pauline Conde; Zulqarnain Rashid; Heet Sankesara; Xi Bai; Richard J B Dobson; Amos A Folarin
Journal:  JMIR Res Protoc       Date:  2021-12-08
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.