Diagnostic approach to paediatric movement disorders: a clinical practice guide

Rick Brandsma1, Martje E van Egmond2, Marina A J Tijssen2

  • 1Department of Pediatric Neurology, University Medical Center Utrecht, Utrecht, the Netherlands.

Insights

Diagnosing paediatric movement disorders (PMDs) is challenging due to complex causes. This paper offers an eight-step diagnostic framework, emphasizing genetic testing, to improve recognition and diagnostic yield for these conditions.

Area of Science:

  • Neurology
  • Genetics
  • Paediatrics

Background:

  • Paediatric movement disorders (PMDs) encompass a diverse range of conditions with often overlapping symptoms.
  • Identifying the specific aetiology of PMDs is frequently complicated by broad differential diagnoses and intricate genotype-phenotype correlations.
  • The diagnostic journey for PMDs can be protracted and challenging for clinicians.

Purpose of the Study:

  • To present a structured, eight-step diagnostic approach for paediatric movement disorders.
  • To emphasize the role of genetic causes and advanced genetic testing in diagnosing PMDs.
  • To enhance the recognition and diagnostic success rate for paediatric movement disorders.

Main Methods:

  • A systematic, eight-step diagnostic framework is proposed for clinicians.
  • The approach integrates clinical assessment, syndrome identification, and consideration of acquired causes.
  • Key components include genetic testing strategies, such as next-generation sequencing, and subsequent phenotyping and result interpretation.

Main Results:

  • The presented framework provides a clear pathway for diagnosing paediatric movement disorders.
  • It guides clinicians in determining the most appropriate diagnostic tests, including next-generation sequencing.
  • The approach aims to streamline the diagnostic process and improve overall diagnostic yield.

Conclusions:

  • This paper offers an updated description and a practical diagnostic framework for paediatric movement disorders.
  • The proposed framework assists in identifying patients who would benefit from next-generation sequencing.
  • Implementing this structured approach can lead to more efficient and accurate diagnoses of PMDs.

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