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Pain Fluctuations in Parkinson's Disease and Their Association with Motor and Non-Motor Fluctuations

Storch, Alexander ; Bremer, Alexander ; Gandor, Florin ; Odin, Per LU orcid ; Ebersbach, Georg and Löhle, Matthias (2024) In Journal of Parkinson's Disease 14(7). p.1451-1468
Abstract

Background: Pain fluctuations are a characteristic phenomenon in advanced Parkinson's disease (PD), but their temporal association with motor and non-motor symptom (NMS) fluctuations remains largely enigmatic. Moreover, data on their importance for disease severity perception and health-related quality-of-life (hr-QoL) is limited. Objective: To dissect pain fluctuations with respect to pain type and frequency patterns, and their association with motor and non-motor fluctuations. Methods: Prospective observational cohort study in advanced PD assessing symptom fluctuations by simultaneous hourly ratings using the PD Home diary (Off, On, Dyskinetic state), a pain diary (assessing 9 pain types) and a non-motor diary (10 key NMS) based on... (More)

Background: Pain fluctuations are a characteristic phenomenon in advanced Parkinson's disease (PD), but their temporal association with motor and non-motor symptom (NMS) fluctuations remains largely enigmatic. Moreover, data on their importance for disease severity perception and health-related quality-of-life (hr-QoL) is limited. Objective: To dissect pain fluctuations with respect to pain type and frequency patterns, and their association with motor and non-motor fluctuations. Methods: Prospective observational cohort study in advanced PD assessing symptom fluctuations by simultaneous hourly ratings using the PD Home diary (Off, On, Dyskinetic state), a pain diary (assessing 9 pain types) and a non-motor diary (10 key NMS) based on validated instruments. Results: Forty-seven out of 55 eligible participants with fluctuating PD (51% men, median age 65, median disease duration 10 years) had sufficient datasets (>95% of hours) from 2 consecutive days. Pain was reported in 35% of waking hours with clear circadian rhythm peaking in early morning Off periods and clustering during motor Off state (49% of Off state hours with pain). Main NMS co-fluctuating with pain were "Fatigue" and "Inner Restlessness". Simultaneous assessment of global disease severity by participants revealed that pain was associated with worse disease severity only in motor On and Dyskinetic state but not in Off state, which translated into significant correlations of daily pain times with hr-QoL only during motor On and Dyskinetic state. Conclusions: Aside from treating motor Off periods, specific recognition of pain particularly during motor On and Dyskinetic state comprises an important aspect for disease management in advanced PD.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
diary, dyskinesia, fatigue, motor fluctuations, non-motor fluctuations, pain, Parkinson’s disease, PD home diary
in
Journal of Parkinson's Disease
volume
14
issue
7
pages
18 pages
publisher
IOS Press
external identifiers
  • pmid:39302380
  • scopus:85206957202
ISSN
1877-718X
DOI
10.3233/JPD-240026
language
English
LU publication?
yes
id
086353b1-fdec-4bf1-b48c-d122dc428c8b
date added to LUP
2024-12-17 09:19:42
date last changed
2025-07-02 01:19:55
@article{086353b1-fdec-4bf1-b48c-d122dc428c8b,
  abstract     = {{<p>Background: Pain fluctuations are a characteristic phenomenon in advanced Parkinson's disease (PD), but their temporal association with motor and non-motor symptom (NMS) fluctuations remains largely enigmatic. Moreover, data on their importance for disease severity perception and health-related quality-of-life (hr-QoL) is limited. Objective: To dissect pain fluctuations with respect to pain type and frequency patterns, and their association with motor and non-motor fluctuations. Methods: Prospective observational cohort study in advanced PD assessing symptom fluctuations by simultaneous hourly ratings using the PD Home diary (Off, On, Dyskinetic state), a pain diary (assessing 9 pain types) and a non-motor diary (10 key NMS) based on validated instruments. Results: Forty-seven out of 55 eligible participants with fluctuating PD (51% men, median age 65, median disease duration 10 years) had sufficient datasets (&gt;95% of hours) from 2 consecutive days. Pain was reported in 35% of waking hours with clear circadian rhythm peaking in early morning Off periods and clustering during motor Off state (49% of Off state hours with pain). Main NMS co-fluctuating with pain were "Fatigue" and "Inner Restlessness". Simultaneous assessment of global disease severity by participants revealed that pain was associated with worse disease severity only in motor On and Dyskinetic state but not in Off state, which translated into significant correlations of daily pain times with hr-QoL only during motor On and Dyskinetic state. Conclusions: Aside from treating motor Off periods, specific recognition of pain particularly during motor On and Dyskinetic state comprises an important aspect for disease management in advanced PD.</p>}},
  author       = {{Storch, Alexander and Bremer, Alexander and Gandor, Florin and Odin, Per and Ebersbach, Georg and Löhle, Matthias}},
  issn         = {{1877-718X}},
  keywords     = {{diary; dyskinesia; fatigue; motor fluctuations; non-motor fluctuations; pain; Parkinson’s disease; PD home diary}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{1451--1468}},
  publisher    = {{IOS Press}},
  series       = {{Journal of Parkinson's Disease}},
  title        = {{Pain Fluctuations in Parkinson's Disease and Their Association with Motor and Non-Motor Fluctuations}},
  url          = {{http://dx.doi.org/10.3233/JPD-240026}},
  doi          = {{10.3233/JPD-240026}},
  volume       = {{14}},
  year         = {{2024}},
}