ArticleJournal of neuroengineering and rehabilitation2024
Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models.
Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Assessment of patients affected by INPH after external lumbar drainage: what is the better timing?Fluids and barriers of the CNS · 2026Article
- Effect of a Physio-Feedback Exercise Intervention Program on the Static Balance of Community-Dwelling Older Adults: A Clustered Randomized Controlled Trial.Geriatrics (Basel, Switzerland) · 2026Article
- Validation of markerless human pose estimation methods for clinical assessment of elbow range of motion.PloS one · 2026Article
- Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.Frontiers in neurology · 2026Article
- Feasibility and reliability of pressure algometry for mechanical nociceptive threshold quantification in lambs in a field environment.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Anchor-based evaluation of digital motor biomarkers from a 2-year observation in 100 patients with multiple sclerosis.Journal of neurology · 2025Observational
- Tug-vimu: a GoPro-based mobility assessment bridging the gap between technology and clinical practice.Journal of neuroengineering and rehabilitation · 2025Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTracking gait and balance impairment in time is paramount in the care of older neurological patients. The Minimal Detectable Change (MDC), built upon the Standard Error of the Measurement (SEM), is the smallest modification of a measure exceeding the measurement error. Here, a novel method based on linear mixed-effects models (LMMs) is applied to estimate the standard error of the measurement from data collected before and after rehabilitation and calculate the MDC of gait and balance measures.
methodsOne hundred nine older adults with a gait impairment due to neurological disease (66 stroke patients) completed two assessment sessions before and after inpatient rehabilitation. In each session, two trials of the 10-meter walking test and the Timed Up and Go (TUG) test, instrumented with inertial sensors, have been collected. The 95% MDC was calculated for the gait speed, TUG test duration (TTD) and other measures from the TUG test, including the angular velocity peak (ω
resultsThe MDC of gait speed was 0.13 m/s. The TTD MDC, ln-transformed and then expressed as a percentage of the baseline value to meet LMMs' assumptions, was 15%, i.e. TTD should be < 85% of the baseline value to conclude the patient's improvement. ω
conclusionsLMMs allowed calculating the MDC of gait and balance measures even if the test-retest steady-state assumption did not hold. The MDC of gait speed, TTD and ω
trial registrationNA.
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