Clinical Determinants of Parkinson's Disease‐associated Pain Using the King's Parkinson's Disease Pain Scale

Rodríguez-Violante, Mayela; Alvarado-Bolaños, Alonso; Cervantes-Arriaga, Amín; Martinez‐Martín, Pablo; Rizos, Alexandra

doi:10.1002/mdc3.12469

Cited by 35 publications

(55 citation statements)

References 34 publications

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“…Other authors have reported a much higher prevalence of pain in PD patients ranging from 70.3% to 88.6%. [ 21 22 23 ] Our results are similar to a review of the prevalence of pain among persons with PD, i.e., 59.7%. [ 24 ] Our study results are similar to a systematic review which cited the prevalence of pain 67.6%.…”

Section: Discussionsupporting

confidence: 87%

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Pain assessment in Indian Parkinson's Disease patients using King's Parkinson's Disease pain scale

Behari¹,

Srivastava²,

Achtani³

et al. 2020

Ann Indian Acad Neurol

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Background: Pain is a common symptom in Parkinson's disease (PD) patients. Scales to rate pain in PD are marred by several flaws, either not being available in other languages or not specific for PD. Objectives: To assess the frequency of pain among bilingual Indian PD patients using “King's Parkinson's disease pain scale” (KPPS) and to validate it. Methods: We randomly administered KPPS in Hindi/English to all consecutive bilingual persons with PD. The results were appropriately analyzed. Results: A total of 119 PD patients were enrolled with a mean age of 64.34 (± 9.57) years. Median Hoehn and Yahr stage was 2 (42.85%). Pain was present in 62 (52.1%) PD patients. The most common type was musculoskeletal (74.19%). The mean total KPPS score was 16.02 ± 10.57. KPPS score was significantly higher in women and correlated positively with unified Parkinson's disease rating scale (UPDRS) part 2 and 4 scores (r = 0.27 and r = 0.25). Risk factors for pain were female gender, higher H and Y stage, total UPDRS score, and individual UPDRS part 3 and 4 scores. Difficulty falling asleep ( P = 0.01), frequent awakenings ( P = 0.01), diminished smell sensation ( P = 0.003), diminished speech volume ( P = 0.02), gait freezing ( P = 0.03), and falls ( P = 0.001) correlated with the presence of pain. The interclass correlation coefficient between the Hindi and English versions of KPPS was 0.835, while Bland–Altman analysis showed 96.7% agreement suggesting excellent correlation and validation. Conclusions: KPPS is an easy tool for characterization, scoring, and follow-up of pain in PD patients. The Hindi version has good agreement with the original English version.

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Section: Discussionsupporting

confidence: 87%

“…KPPS score in our cohort was similar to that in the cohort of 314 PD patients reported by Rodrıguez-Violante et al . [ 22 ] They also observed higher KPPS score in women as compared to men, a finding also reported by other authors. [ 27 28 ]…”

Section: Discussionsupporting

confidence: 77%

Pain assessment in Indian Parkinson's Disease patients using King's Parkinson's Disease pain scale

Behari¹,

Srivastava²,

Achtani³

et al. 2020

Ann Indian Acad Neurol

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“…The results of the present study demonstrate that KPPS-BG had good reliability and validity. Cronbach's α of total scale was 0.75, which indicate good level of internal consistency similar to those reported in the original publication (0.78) [12] and by Rodríguez-Violante et al (0.74) [13], and Soyuer et al (0.827) [20].…”

Section: Discussionsupporting

confidence: 85%

“…Its seven domains include 14 items. KPPS has already been used as a reliable tool available in English language to assess various types of PD-pain [4,13,14,15] and as a secondary outcome in two international multicenter, randomized, controlled trials [16,17]. More recently, the effect of other therapeutic strategies on pain in PD was also assessed by KPPS [18].…”

Section: Introductionmentioning

confidence: 99%

Translation, adaptation and validation of the Bulgarian version of the King’s Parkinson’s Disease Pain Scale

Stoyanova-Piroth

Milanov

Stambolieva

2021

Preprint

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Introduction:The purpose of the present study was to translate and cross-culturally adapt the King's Parkinson's Disease Pain Scale (KPPS) into Bulgarian and to investigate its psychometric properties in order to provide a validated Parkinson’s disease-specific pain instrument in Bulgarian language (KPPS-BG).Methods:Translation into Bulgarian and a cultural adaptation were performed to obtain KPPS-BG. A total of 162 patients with idiopathic Parkinson’s disease were screened for pain using the complementary to the KPPS questionnaire-King’s Parkinson's Disease Pain Questionnaire (KPPQ). KPPS-BG domain and total scores were calculated and internal consistency, construct validity and test-retest reliability were examined for 129 patients having one or more positive items in the KPPQ-BG.Results:79.6% of the patients reported one or more types of pain. The most common type was musculoskeletal pain (83.7%), followed by nocturnal pain (55.0%), fluctuation-related pain (50.1%), radicular pain (43.4%), chronic pain (31.0%), discoloration, edema/swelling (27.1%) and, oro-facial pain (14.3%). Mean KPPS-BG total score was 21.1±17.3 SD. KPPS-BG showed a good reliability (Cronbach's alpha 0.75). The test-retest reliability of the KPPS-BG was high and the intraclass correlation coefficient was 0.92, demonstrating а good repeatability. KPPS-BG total score was higher in patients with postural instability gait difficulty motor subtype, compared to tremor-dominant or indeterminate subtype. Significant positive correlations were found between KPPS-BG total score and modified H&Y, Movement Disorders Society Unified Parkinson’s Disease Rating Scale part III.Conclusion:The KPPS-BG constitutes a reliable, comprehensive and useful tool for pain assessment in native Bulgarian patients with Parkinson’s disease.

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“…Pain is one such non-motor symptom that is present in about two-thirds of PD patients (Defazio et al 2008 ; Broen et al 2012 ), and puts an additional burden on patients’ quality of life (Quittenbaum and Grahn 2004 ; Shibley et al 2008 ; Buhmann et al 2017 ). It has been linked to several clinical factors, such as disease progression (Mylius et al 2011 ), dopaminergic fluctuation (Brefel-Courbon et al 2005 ; Nègre-pagès et al 2008 ; Silva et al 2008 ), depressed mood, and dyskinesias (Rodríguez-Violante 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Clinical pain and functional network topology in Parkinson’s disease: a resting-state fMRI study

Engels

McCoy

Vlaar³

et al. 2018

J Neural Transm

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Pain is an important non-motor symptom in Parkinson’s disease (PD), but its underlying pathophysiological mechanisms are still unclear. Research has shown that functional connectivity during the resting-state may be involved in persistent pain in PD. In the present cross-sectional study, 24 PD patients (both during on and off medication phase) and 27 controls participated. We assessed pain with the colored analogue scale and the McGill pain questionnaire. We examined a possible pathophysiological mechanism with resting-state fMRI using functional network topology, i.e., the architecture of functional connections. We took betweenness centrality (BC) to assess hubness, and global efficiency (GE) to assess integration of the network. We aimed to (1) assess the differences between PD patients and controls with respect to pain and resting-state network topology, and (2) investigate how resting-state network topology (BC and GE) is associated with clinical pain in both PD patients and controls. Results show that PD patients experienced more pain than controls. GE of the whole brain was higher in PD patients (on as well as off medication) compared to healthy controls. GE of the specialized pain network was also higher in PD patients compared to controls, but only when patients were on medication. BC of the pain network was lower in PD patients off medication compared to controls. We found a positive association between pain and GE of the pain network in PD patients off medication. For healthy controls, a negative association was found between pain and GE of the pain network, and also between pain and BC of the pain network. Our results suggest that functional network topology differs between PD patients and healthy controls, and that this topology can be used to investigate the underlying neural mechanisms of pain symptoms in PD.

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Clinical Determinants of Parkinson's Disease‐associated Pain Using the King's Parkinson's Disease Pain Scale

Cited by 35 publications

References 34 publications

Pain assessment in Indian Parkinson's Disease patients using King's Parkinson's Disease pain scale

Pain assessment in Indian Parkinson's Disease patients using King's Parkinson's Disease pain scale

Translation, adaptation and validation of the Bulgarian version of the King’s Parkinson’s Disease Pain Scale

Clinical pain and functional network topology in Parkinson’s disease: a resting-state fMRI study

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