Development and validation of the Dystonia Pain Classification System: a multicenter study

Clarice Listik, Eduardo Listik, Flávia de Paiva Santos Rolim, Denise Maria Meneses Cury Portela, Santiago Perez Lloret, Natália Rebeca Alves de Araújo, Pedro Rubens Araújo Carvalho, Graziele Costa Santos, João Carlos Papaterra Limongi, Francisco Cardoso, Veit Mylius, Florian Brugger, Ana Mércia Fernandes, Egberto Reis Barbosa, Manoel Jacobsen Teixeira, Henrique Ballalai Ferraz, Sarah Teixeira Camargos, Pain in Dystonia study group, Rubens Gisbert Cury, Daniel Ciampi de Andrade*Rose Mary Paulo do Nascimento (Member of study group), Mauro Cunningham (Member of study group), Laura Silveira Moriyama (Member of study group), Fernanda Martins Maia Carvalho (Member of study group), Suzana Curcino Nogueira Lino (Member of study group), Fabricio Vale (Member of study group), Jorge Dornellys da Silva Lapa (Member of study group)

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)
53 Downloads (Pure)

Abstract

Background: Dystonia is associated with disabling nonmotor symptoms like chronic pain (CP), which is prevalent in dystonia and significantly impacts the quality of life (QoL). There is no validated tool for assessing CP in dystonia, which substantially hampers pain management. Objective: The aim was to develop a CP classification and scoring system for dystonia. Methods: A multidisciplinary group was established to develop the Dystonia-Pain Classification System (Dystonia-PCS). The classification of CP as related or unrelated to dystonia was followed by the assessment of pain severity score, encompassing pain intensity, frequency, and impact on daily living. Then, consecutive patients with inherited/idiopathic dystonia of different spatial distribution were recruited in a cross-sectional multicenter validation study. Dystonia-PCS was compared to validated pain, mood, QoL, and dystonia scales (Brief Pain Inventory, Douleur Neuropathique-4 questionnaire, European QoL-5 Dimensions-3 Level Version, and Burke–Fahn–Marsden Dystonia Rating Scale). Results: CP was present in 81 of 123 recruited patients, being directly related to dystonia in 82.7%, aggravated by dystonia in 8.8%, and nonrelated to dystonia in 7.5%. Dystonia-PCS had excellent intra-rater (Intraclass Correlation Coefficient - ICC: 0.941) and inter-rater (ICC: 0.867) reliability. In addition, pain severity score correlated with European QoL-5 Dimensions-3 Level Version's pain subscore (r = 0.635, P < 0.001) and the Brief Pain Inventory's severity and interference scores (r = 0.553, P < 0.001 and r = 0.609, P < 0.001, respectively). Conclusions: Dystonia-PCS is a reliable tool to categorize and quantify CP impact in dystonia and will help improve clinical trial design and management of CP in patients affected by this disorder.

Original languageEnglish
JournalMovement Disorders
Volume38
Issue number7
Pages (from-to)1163-1174
Number of pages12
ISSN0885-3185
DOIs
Publication statusPublished - Jul 2023

Bibliographical note

Funding source: the Pain Center - HC-FMUSP. MJT and DCA are funded by CNPq (scientific production scholarship by Conselho Nacional de Pesquisa. The Center for Neuroplasticity and Pain is supported by the Danish National Research Foundation (DNRF121). Daniel Ciampi de Andrade is supported by Novo Nordisk Grant NNF21OC0072828.

Keywords

  • Chronic pain
  • dystonia
  • non-motor symptoms
  • pain
  • pain classification

Fingerprint

Dive into the research topics of 'Development and validation of the Dystonia Pain Classification System: a multicenter study'. Together they form a unique fingerprint.

Cite this