@incollection{42022,
author = "Winfried Ilg and Bj{\"o}rn M{\"u}ller and Jennifer Faber and Judith van Gaalen and Holger Hengel and Ina R. Vogt and Guido Hennes and Bart van de Warrenburg and Thomas Klockgether and Ludger Schoels and Matthis Synofzik",
abstract = "Measures of step variability and body sway during gait have shown to correlate with clinical ataxia severity in several cross-sectional studies. However, to serve as a valid progression biomarker, these gait measures have to prove their sensitivity to robustly capture longitudinal change, ideally within short time-frames (e.g. one year). We present the first multi-center longitudinal gait analysis study in spinocerebellar ataxias (SCAs). We performed a combined cross-sectional (n=28) and longitudinal (1-year interval, n=17) analysis in SCA3 subjects (including 7 pre-ataxic mutation carriers). Longitudinal analysis revealed significant change in gait measures between baseline and 1-year follow-up, with high effect sizes (stride length variability: p=0.01, effect size rprb=0.66; lateral sway: p=0.007, rprb=0.73). Sample size estimation for lateral sway reveals a required cohort size of n=43 for detecting a 50% reduction of natural progression, compared to n=240 for the clinical ataxia score SARA. These measures thus present promising motor biomarkers for upcoming interventional studies.",
doi = "10.1101/2022.03.10.22272119",
month = "March",
publisher = "MedRxiv Preprint",
title = "{D}igital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in {S}pinocerebellar ataxia type 3 ({SCA}3)",
url = "https://www.medrxiv.org/content/10.1101/2022.03.10.22272119v1",
year = "2022",
files = "MEDRXIV-Ilg_ataxia_esmi_2022.pdf",
}