Evidence map›Paper›PMID 40166640›Full record

ArticleFrontiers in neurology2025

Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures.

Hannah L Casey, Vrutangkumar V Shah, Daniel Muzyka, James McNames, Mahmoud El-Gohary, Kristen Sowalsky, Delaram Safarpour, Patricia Carlson-Kuhta, Christian Rummey, Fay B Horak and 1 more

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Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hannah L CaseyDepartment of Neurology, The University of Chicago, Chicago, IL, United States.
Vrutangkumar V ShahAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
Daniel MuzykaAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
James McNamesAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
Mahmoud El-GoharyAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
Kristen SowalskyAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
Delaram SafarpourDepartment of Neurology, Oregon Health & Science University, Portland, OR, United States.
Patricia Carlson-KuhtaDepartment of Neurology, Oregon Health & Science University, Portland, OR, United States.
Christian RummeyClinical Data Science GmbH, Basel, Switzerland.
Fay B HorakAPDM Wearable Technologies - A Clario Company, Portland, OR, United States.
Christopher M GomezDepartment of Neurology, The University of Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gait assessments in a clinical setting may not accurately reflect mobility in everyday life. To better understand gait during daily life, we compared measures that discriminated Friedreich ataxia (FRDA) from healthy control (HC) subjects in prescribed clinic tests and free, daily-life monitoring. Methods: We recruited 9 people with FRDA (median age: 20, IQR [12, 48] years). A comparative healthy control (HC) subject cohort of 9 was sampled using propensity matching on age (median age: 18 [13, 22] years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory during a 2-min walk at a natural pace, followed by 7 days of daily life. For daily life analysis, a total of 99,216 strides across 1,008 h of recording were included. Mann-Whitney U test and area under the curve (AUC) compared gait differences between FRDA and HC when assessed in the laboratory and daily life. Pairwise Wilcoxon tests also compared if participants exhibited different metric values between the two environments. Results: The FRDA group exhibited lower levels of daily activity. Measures that best discriminated gait characteristics of FRDA from HC differed between environments. Variation in elevation of the feet at midswing best discriminated in-clinic (Clinic AUC = 1, Home AUC = 0.69), whereas slow gait speed performed best in daily life (Home AUC = 1, Clinic AUC = 0.64). Of the 17 measures tested, 11 had an AUC > 0.8 in-clinic and 8 had an AUC >0.8 at home. Variability of swing time (Clinic AUC = 0.97, Home AUC = 0.94) and double-support time (Clinic AUC = 0.94, Home AUC = 0.94) were the most sensitive and specific for FRDA in both environments. Conclusion: Digital gait characteristics from inertial sensors are sensitive and specific for FRDA in both environments. However, different gait measures were more sensitive and specific during free-living versus prescribed gait, suggesting that in-clinic gait does not reflect daily life gait.

Indexed as

clinical trialsdigital biomarkerfree-livingFriedreich’s ataxiagaitwearable inertial sensors

Identifiers

PMID40166640
PMCPMC11956684

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.