Orphanet Journal of Rare Diseases (Feb 2024)

Instrumented assessment of gait disturbance in PMM2-CDG adults: a feasibility analysis

  • Lara Cirnigliaro,
  • Fabio Pettinato,
  • Maria Stella Valle,
  • Antonino Casabona,
  • Agata Fiumara,
  • Michele Vecchio,
  • Valerio Amico,
  • Renata Rizzo,
  • Jaak Jaeken,
  • Rita Barone,
  • Matteo Cioni

DOI
https://doi.org/10.1186/s13023-024-03027-x
Journal volume & issue
Vol. 19, no. 1
pp. 1 – 11

Abstract

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Abstract Background Congenital disorders of glycosylation (CDG) are genetic diseases caused by impaired synthesis of glycan moieties linked to glycoconjugates. Phosphomannomutase 2 deficiency (PMM2-CDG), the most frequent CDG, is characterized by prominent neurological involvement. Gait disturbance is a major cause of functional disability in patients with PMM2-CDG. However, no specific gait assessment for PMM2-CDG is available. This study analyses gait-related parameters in PMM2-CDG patients using a standardized clinical assessment and instrumented gait analysis (IGA). Results Seven adult patients with a molecular diagnosis of PMM2-CDG were followed-up from February 2021 to December 2022 and compared to a group of healthy control (HC) subjects, matched for age and sex. Standardized assessment of disease severity including ataxia and peripheral neuropathy along with isometric muscle strength and echo-biometry measurements at lower limbs were performed. IGA spatiotemporal parameters were obtained by means of a wearable sensor in basal conditions. PMM2-CDG patients displayed lower gait speed, stride length, cadence and symmetry index, compared to HC. Significant correlations were found among the used clinical scales and between disease severity (NCRS) scores and the gait speed measured by IGA. Variable reduction of knee extension strength and a significant decrease of lower limb muscle thickness with conserved echo intensity were found in PMM2-CDG compared to HC. Conclusions The study elucidates different components of gait disturbance in PMM2-CDG patients and shows advantages of using wearable sensor-based IGA in this frame. IGA parameters may potentially serve as quantitative measures for follow-up or outcome quantification in PMM2-CDG.

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