Distinction and mutual Influences between Parkinson's Disease-related and unrelated Chronic Pain.

Background Chronic pain (i.e. > 3 months) is a common nonmotor symptom in patients with Parkinson's disease (PD), but the attribution to PD is critical for further treatment.Objectives We explored the PD Pain Classification System (PD-PCS) criteria for the diagnosis of PD-related pain and mutual influences between PD-related and PD-unrelated pain.Methods In this multicenter study, 120 nondemented PD patients were assessed using the PD-PCS as well as motor and nonmotor questionnaires. The PD-PCS consists of 3 steps: first, it classifies chronic pain as unrelated or related to PD according to 1 of 4 criteria (at onset or aggravated by PD, in the off phase, improvement with dopaminergic treatment, and with dyskinesia); second, it allows the classification of pain mechanisms (neuropathic, nociceptive, and nociplastic); and finally, it provides a score.Results Chronic pain was present in 92% of patients, with PD-related pain in 73% and non-PD-related pain in 53%. Higher PD-PCS scores were reported when PD-related pain was present. In cases of concurrent PD-related and PD-unrelated pain (35%), there was a moderate correlation between pain severity. Improvement with dopaminergic medication and pain in the off phases were the most common factors defining an association of pain with PD. These factors often occur together, whereas pain during dyskinesia occurs independently.Conclusion The PD-PCS criteria allow differentiation between PD-related and PD-unrelated chronic pain through 2 approaches, assessing periods of either low or high dopaminergic stimulation. PD-unrelated pain should also be taken into account, as it is more common than in the general population and as it may influence PD-related pain.

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-08-25
DOI
https://doi.org/10.48620/90854
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinction and mutual Influences between Parkinson's Disease-related and unrelated Chronic Pain.

Open Access CRIS of the University of Bern
Diverse Scientific and Economic Studies
article

Distinction and mutual Influences between Parkinson's Disease-related and unrelated Chronic Pain.

article en

Abstract

Background Chronic pain (i.e. > 3 months) is a common nonmotor symptom in patients with Parkinson's disease (PD), but the attribution to PD is critical for further treatment.Objectives We explored the PD Pain Classification System (PD-PCS) criteria for the diagnosis of PD-related pain and mutual influences between PD-related and PD-unrelated pain.Methods In this multicenter study, 120 nondemented PD patients were assessed using the PD-PCS as well as motor and nonmotor questionnaires. The PD-PCS consists of 3 steps: first, it classifies chronic pain as unrelated or related to PD according to 1 of 4 criteria (at onset or aggravated by PD, in the off phase, improvement with dopaminergic treatment, and with dyskinesia); second, it allows the classification of pain mechanisms (neuropathic, nociceptive, and nociplastic); and finally, it provides a score.Results Chronic pain was present in 92% of patients, with PD-related pain in 73% and non-PD-related pain in 53%. Higher PD-PCS scores were reported when PD-related pain was present. In cases of concurrent PD-related and PD-unrelated pain (35%), there was a moderate correlation between pain severity. Improvement with dopaminergic medication and pain in the off phases were the most common factors defining an association of pain with PD. These factors often occur together, whereas pain during dyskinesia occurs independently.Conclusion The PD-PCS criteria allow differentiation between PD-related and PD-unrelated chronic pain through 2 approaches, assessing periods of either low or high dopaminergic stimulation. PD-unrelated pain should also be taken into account, as it is more common than in the general population and as it may influence PD-related pain.

Open Access CRIS of the University of Bern
Good health and well-being
Openalex Percentile: Top 36%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.