Comprehensive quantification of the spastic catch in children with cerebral palsy

Bar-On Lynn1, Aertbeliën Erwin, Molenaers Guy

  • 1University Hospital, Pellenberg, Clinical Motion Analysis Laboratory, Weligerveld 1, 3212 Pellenberg, Belgium. lynn.1.bar-on@uzleuven.be

Insights

Objective measures can now quantify the spastic catch in children with cerebral palsy (CP). This study found that biomechanical parameters, combined with electromyography (EMG) data, offer a reliable way to assess spasticity severity.

Area of Science:

  • Biomedical Engineering
  • Clinical Biomechanics
  • Pediatric Neurology

Background:

  • Spastic catch, a key indicator of spasticity in cerebral palsy (CP), is currently assessed subjectively in clinical practice.
  • Objective quantification of spastic catch is needed to improve diagnostic accuracy and treatment monitoring in children with CP.

Purpose of the Study:

  • To evaluate the psychometric properties of objective biomechanical parameters for defining and quantifying spastic catch severity in children with spastic CP.
  • To assess the reliability and validity of different definitions of the angle of spastic catch (AOC).

Main Methods:

  • Forty-six children with spastic CP (age 4-16) underwent objective spasticity assessments using high-velocity passive stretches.
  • Surface electromyography (sEMG), inertial sensors, and a force sensor measured muscle activity, joint angles, and reactive torque.
  • Three biomechanical definitions of AOC were derived and correlated with RMS-EMG and the Modified Tardieu Scale (MTS).

Main Results:

  • All three AOC definitions demonstrated moderate to high reliability upon retesting.
  • Weak but significant correlations were observed between the third AOC definition (AOC3) and MTS/RMS-EMG for both gastrocnemius and medial hamstrings.
  • AOC3 successfully differentiated between mild, moderate, and severe spastic catches.

Conclusions:

  • Objective biomechanical parameters, particularly AOC3, can reliably define and quantify spastic catch severity in children with CP.
  • Integrating biomechanical data with RMS-EMG provides a more comprehensive understanding of spastic catch.
  • These objective measures hold potential for improved clinical assessment and management of spasticity in pediatric CP.

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