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Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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Related Experiment Video

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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

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Gait analysis: clinical facts.

Richard Baker1, Alberto Esquenazi, Maria G Benedetti

  • 1Health Sciences Research Centre, University of Salford, Salford, UK - aesquena@einstein.edu.

European Journal of Physical and Rehabilitation Medicine
|September 13, 2016
PubMed
Summary
This summary is machine-generated.

Gait analysis offers valuable insights for diagnosing and managing neurological conditions and amputations. Proper methodology ensures reliable data for effective clinical decision-making in routine practice.

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Area of Science:

  • Clinical Biomechanics
  • Neurorehabilitation
  • Orthopedic Surgery

Background:

  • Gait analysis is a validated method for assessing gait disturbances.
  • Its clinical routine use shows a favorable cost-benefit ratio in specific conditions.
  • Evidence supports its application beyond cerebral palsy to other neurological disorders and amputations.

Purpose of the Study:

  • To provide an overview of guidelines for managing clinical gait analysis services.
  • To outline the principal clinical domains where gait analysis is applied.
  • To emphasize the importance of methodology in clinical gait analysis.

Main Methods:

  • Review of literature on clinical gait analysis guidelines.
  • Identification of key clinical applications and their supporting evidence.
  • Discussion of requirements for appropriate prescription and data reliability.

Main Results:

  • Gait analysis is well-established for research but its clinical routine use is evidence-based for a limited number of conditions.
  • Initial application focused on cerebral palsy, with growing evidence for upper motor neuron diseases and lower limb amputations.
  • Guidelines for managing clinical gait analysis services and ensuring data reliability are crucial.

Conclusions:

  • Gait analysis is a valuable tool for functional diagnosis, treatment planning, and disease monitoring.
  • Its clinical utility is supported by evidence in cerebral palsy, stroke, traumatic brain injury, and lower limb amputation.
  • Standardized methodology and appropriate prescription are essential for reliable clinical gait analysis.