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Related Experiment Video

Updated: Oct 5, 2025

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
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[The new Parkinson's disease pain classification system (PD-PCS)].

V Mylius1,2,3, S Perez Lloret4, C S Brook5

  • 1Klinik für Neurologie und Neurorehabilitation, Kliniken Valens, Valens, Schweiz. Veit.Mylius@kliniken-valens.ch.

Der Nervenarzt
|January 28, 2022
PubMed
Summary

A new Parkinson's disease pain classification system (PD-PCS) and questionnaire effectively identify and categorize chronic pain in PD patients. This tool aids in diagnosing pain syndromes and guiding treatment strategies.

Keywords:
NeuropathicNociceptiveNociplasticPainQuestionnaire

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Area of Science:

  • Neurology
  • Pain Medicine
  • Clinical Diagnostics

Background:

  • Chronic pain is a prevalent non-motor symptom in Parkinson's disease (PD).
  • Accurate diagnosis of pain is crucial for effective management in PD patients.

Purpose of the Study:

  • To introduce the Parkinson's disease pain classification system (PD-PCS).
  • To develop and validate a questionnaire for diagnosing PD-associated pain.
  • To translate the PD-PCS questionnaire into German.

Main Methods:

  • Developed a four-question system to establish a causal link between pain and PD.
  • Hierarchically classified pain into neuropathic, nociceptive, and nociplastic categories.
  • Validated the questionnaire in an initial study and translated it into German.

Main Results:

  • 77% of patients experienced PD-associated pain.
  • Nociceptive pain was most common (55%), followed by nociplastic (22%) and neuropathic (16%).
  • The questionnaire demonstrated high validity and moderate reliability.

Conclusions:

  • The PD-PCS questionnaire is a valid and reliable instrument.
  • It facilitates the determination of pain syndrome relationship to PD.
  • Aids in classifying pain into underlying categories for improved diagnostics and treatment.