ALS longitudinal studies with frequent data collection at home: study design and baseline data.


Journal

Amyotrophic lateral sclerosis & frontotemporal degeneration
ISSN: 2167-9223
Titre abrégé: Amyotroph Lateral Scler Frontotemporal Degener
Pays: England
ID NLM: 101587185

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 30 11 2018
medline: 11 4 2020
entrez: 30 11 2018
Statut: ppublish

Résumé

To design an ALS clinical study in which patients are remotely recruited, screened, enrolled and then assessed via daily data collection at home by themselves or caregivers. This observational, natural-history study included two academic medical centers, one providing overall clinical management and the other overseeing computing and web-services design and management. Both healthy and ALS subjects were recruited on the Internet via advertisement on governmental and foundation websites as well as through Facebook and Google paid advertisements. Individuals underwent screening and enrollment remotely, including signing an electronic informed consent form. Participants were then provided self-measurement equipment and instructed on their use through a series of web-based videos. The equipment included a handgrip dynamometer, spirometer with smartphone connection, electrical impedance myography device, and an activity tracker. ALS Functional Rating Scale-Revised data were also collected. Subjects were asked to collect data daily for three months and twice-weekly for the subsequent six months. One hundred and eleven ALS patients and 30 healthy individuals enrolled in the study from across 41 states (74 men, 62 women). Baseline median ALSFRS-R score was 33. Seventy two percent of the ALS patients sent equipment and 88% of the healthy subjects sent equipment were able to complete a first set of measurements. Expected baseline differences between the ALS patients and healthy participants were identified for all measures. It is possible to design and institute an at-home based study in ALS patients, using a number of state-of-the-art approaches, including web-based consenting and training and Internet-connected measurement devices.

Identifiants

pubmed: 30486680
doi: 10.1080/21678421.2018.1541095
pmc: PMC6513689
mid: NIHMS1520107
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

61-67

Subventions

Organisme : NINDS NIH HHS
ID : R44 NS070385
Pays : United States

Références

Front Aging Neurosci. 2017 Mar 22;9:68
pubmed: 28382000
J Neurol Sci. 1999 Oct 31;169(1-2):13-21
pubmed: 10540002
Neurology. 2013 Oct 8;81(15):1350-5
pubmed: 24005339
Lancet Neurol. 2017 Jul;16(7):505-512
pubmed: 28522181
PLoS One. 2015 Sep 17;10(9):e0138095
pubmed: 26379170

Auteurs

Seward B Rutkove (SB)

a Department of Neurology , Beth Israel Deaconess Medical Center , Boston , MA , USA.

Kristin Qi (K)

a Department of Neurology , Beth Israel Deaconess Medical Center , Boston , MA , USA.

Kerisa Shelton (K)

b Department of Neurology , Barrow Neurological Institute , Phoenix , AZ , USA.

Julie Liss (J)

d Department of Speech and Hearing Science , Arizona State University , Phoenix , AZ , USA.

Visar Berisha (V)

c University of Arizona College of Medicine , Phoenix , AZ , USA.

Jeremy M Shefner (JM)

b Department of Neurology , Barrow Neurological Institute , Phoenix , AZ , USA.

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Classifications MeSH