The Parkinson disease pain classification system: Results from an international mechanism-based classification approach
- Autores
- Mylius, Veit; Perez Lloret, Santiago; Cury, Rubens G.; Teixeira, Manoel J.; Barbosa, Victor R.; Barbosa, Egberto R.; Moreira, Larissa I.; Listik, Clarice; Fernandes, Ana M.; de Lacerda Veiga, Diogo; Barbour, Julio; Hollenstein, Nathalie; Oechsner, Matthias; Walch, Julia; Brugger, Florian; Hägele Link, Stefan; Beer, Serafin; Rizos, Alexandra; Chaudhuri, Kallol Ray; Bouhassira, Didier; Lefaucheur, Jean Pascal; Timmermann, Lars; Gonzenbach, Roman; Kägi, Georg; Möller, Jens Carsten; Ciampi de Andrade, Daniel
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Pain is a common nonmotor symptom in patients with Parkinson disease (PD) but the correct diagnosis of the respective cause remains difficult because suitable tools are lacking, so far. We developed a framework to differentiate PD- from non-PD-related pain and classify PD-related pain into 3 groups based on validated mechanistic pain descriptors (nociceptive, neuropathic, or nociplastic), which encompass all the previously described PD pain types. Severity of PD-related pain syndromes was scored by ratings of intensity, frequency, and interference with daily living activities. The PD-Pain Classification System (PD-PCS) was compared with classic pain measures (ie, brief pain inventory and McGill pain questionnaire [MPQ], PDQ-8 quality of life score, MDS-UPDRS scores, and nonmotor symptoms). 159 nondemented PD patients (disease duration 10.2 6 7.6 years) and 37 healthy controls were recruited in 4 centers. PDrelated pain was present in 122 patients (77%), with 24 (15%) suffering one or more syndromes at the same time. PD-related nociceptive, neuropathic, or nociplastic pain was diagnosed in 87 (55%), 25 (16%), or 35 (22%), respectively. Pain unrelated to PD was present in 35 (22%) patients. Overall, PD-PCS severity score significantly correlated with pain’s Brief Pain Inventory and MPQ ratings, presence of dyskinesia and motor fluctuations, PDQ-8 scores, depression, and anxiety measures. Moderate intrarater and interrater reliability was observed. The PD-PCS is a valid and reliable tool for differentiating PD-related pain from PD-unrelated pain. It detects and scores mechanistic pain subtypes in a pragmatic and treatment-oriented approach, unifying previous classifications of PD-pain.
Fil: Mylius, Veit. Universitat Phillips; Alemania. Center for Neurorehabilitation; Suiza. Kantonsspital St; Suiza
Fil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
Fil: Cury, Rubens G.. Universidade de Sao Paulo; Brasil
Fil: Teixeira, Manoel J.. Universidade de Sao Paulo; Brasil
Fil: Barbosa, Victor R.. Universidade de Sao Paulo; Brasil
Fil: Barbosa, Egberto R.. Universidade de Sao Paulo; Brasil
Fil: Moreira, Larissa I.. Universidade de Sao Paulo; Brasil
Fil: Listik, Clarice. Universidade de Sao Paulo; Brasil
Fil: Fernandes, Ana M.. Universidade de Sao Paulo; Brasil
Fil: de Lacerda Veiga, Diogo. Universidade de Sao Paulo; Brasil
Fil: Barbour, Julio. Universidade de Sao Paulo; Brasil
Fil: Hollenstein, Nathalie. Universidade de Sao Paulo; Brasil
Fil: Oechsner, Matthias. Center for Neurological Rehabilitation; Suiza
Fil: Walch, Julia. Kantonsspital St; Suiza
Fil: Brugger, Florian. Kantonsspital St; Suiza
Fil: Hägele Link, Stefan. Kantonsspital St; Suiza
Fil: Beer, Serafin. Center for Neurorehabilitation; Suiza
Fil: Rizos, Alexandra. King's College Hospital; Reino Unido
Fil: Chaudhuri, Kallol Ray. The Maurice Wohl Clinical Neuroscience Institute; Reino Unido. King's College Hospital; Reino Unido
Fil: Bouhassira, Didier. Université Versailles-Saint-Quentin; Francia. Hôpital Ambroise Paré; Francia
Fil: Lefaucheur, Jean Pascal. Université Paris-Est-Créteil; Francia
Fil: Timmermann, Lars. Universitat Phillips; Alemania
Fil: Gonzenbach, Roman. Center for Neurorehabilitation; Suiza
Fil: Kägi, Georg. Kantonsspital St; Suiza
Fil: Möller, Jens Carsten. Universitat Phillips; Alemania. Center for Neurological Rehabilitation; Suiza
Fil: Ciampi de Andrade, Daniel. Universidade de Sao Paulo; Brasil - Materia
-
Parkinson's Disease
Pain
Clinical rating scale
Validation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/171492
Ver los metadatos del registro completo
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The Parkinson disease pain classification system: Results from an international mechanism-based classification approachMylius, VeitPerez Lloret, SantiagoCury, Rubens G.Teixeira, Manoel J.Barbosa, Victor R.Barbosa, Egberto R.Moreira, Larissa I.Listik, ClariceFernandes, Ana M.de Lacerda Veiga, DiogoBarbour, JulioHollenstein, NathalieOechsner, MatthiasWalch, JuliaBrugger, FlorianHägele Link, StefanBeer, SerafinRizos, AlexandraChaudhuri, Kallol RayBouhassira, DidierLefaucheur, Jean PascalTimmermann, LarsGonzenbach, RomanKägi, GeorgMöller, Jens CarstenCiampi de Andrade, DanielParkinson's DiseasePainClinical rating scaleValidationhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Pain is a common nonmotor symptom in patients with Parkinson disease (PD) but the correct diagnosis of the respective cause remains difficult because suitable tools are lacking, so far. We developed a framework to differentiate PD- from non-PD-related pain and classify PD-related pain into 3 groups based on validated mechanistic pain descriptors (nociceptive, neuropathic, or nociplastic), which encompass all the previously described PD pain types. Severity of PD-related pain syndromes was scored by ratings of intensity, frequency, and interference with daily living activities. The PD-Pain Classification System (PD-PCS) was compared with classic pain measures (ie, brief pain inventory and McGill pain questionnaire [MPQ], PDQ-8 quality of life score, MDS-UPDRS scores, and nonmotor symptoms). 159 nondemented PD patients (disease duration 10.2 6 7.6 years) and 37 healthy controls were recruited in 4 centers. PDrelated pain was present in 122 patients (77%), with 24 (15%) suffering one or more syndromes at the same time. PD-related nociceptive, neuropathic, or nociplastic pain was diagnosed in 87 (55%), 25 (16%), or 35 (22%), respectively. Pain unrelated to PD was present in 35 (22%) patients. Overall, PD-PCS severity score significantly correlated with pain’s Brief Pain Inventory and MPQ ratings, presence of dyskinesia and motor fluctuations, PDQ-8 scores, depression, and anxiety measures. Moderate intrarater and interrater reliability was observed. The PD-PCS is a valid and reliable tool for differentiating PD-related pain from PD-unrelated pain. It detects and scores mechanistic pain subtypes in a pragmatic and treatment-oriented approach, unifying previous classifications of PD-pain.Fil: Mylius, Veit. Universitat Phillips; Alemania. Center for Neurorehabilitation; Suiza. Kantonsspital St; SuizaFil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; ArgentinaFil: Cury, Rubens G.. Universidade de Sao Paulo; BrasilFil: Teixeira, Manoel J.. Universidade de Sao Paulo; BrasilFil: Barbosa, Victor R.. Universidade de Sao Paulo; BrasilFil: Barbosa, Egberto R.. Universidade de Sao Paulo; BrasilFil: Moreira, Larissa I.. Universidade de Sao Paulo; BrasilFil: Listik, Clarice. Universidade de Sao Paulo; BrasilFil: Fernandes, Ana M.. Universidade de Sao Paulo; BrasilFil: de Lacerda Veiga, Diogo. Universidade de Sao Paulo; BrasilFil: Barbour, Julio. Universidade de Sao Paulo; BrasilFil: Hollenstein, Nathalie. Universidade de Sao Paulo; BrasilFil: Oechsner, Matthias. Center for Neurological Rehabilitation; SuizaFil: Walch, Julia. Kantonsspital St; SuizaFil: Brugger, Florian. Kantonsspital St; SuizaFil: Hägele Link, Stefan. Kantonsspital St; SuizaFil: Beer, Serafin. Center for Neurorehabilitation; SuizaFil: Rizos, Alexandra. King's College Hospital; Reino UnidoFil: Chaudhuri, Kallol Ray. The Maurice Wohl Clinical Neuroscience Institute; Reino Unido. King's College Hospital; Reino UnidoFil: Bouhassira, Didier. Université Versailles-Saint-Quentin; Francia. Hôpital Ambroise Paré; FranciaFil: Lefaucheur, Jean Pascal. Université Paris-Est-Créteil; FranciaFil: Timmermann, Lars. Universitat Phillips; AlemaniaFil: Gonzenbach, Roman. Center for Neurorehabilitation; SuizaFil: Kägi, Georg. Kantonsspital St; SuizaFil: Möller, Jens Carsten. Universitat Phillips; Alemania. Center for Neurological Rehabilitation; SuizaFil: Ciampi de Andrade, Daniel. Universidade de Sao Paulo; BrasilLippincott Williams2021-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/171492Mylius, Veit; Perez Lloret, Santiago; Cury, Rubens G.; Teixeira, Manoel J.; Barbosa, Victor R.; et al.; The Parkinson disease pain classification system: Results from an international mechanism-based classification approach; Lippincott Williams; Pain; 162; 4; 4-2021; 1201-12100304-39591872-6623CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.lww.com/10.1097/j.pain.0000000000002107info:eu-repo/semantics/altIdentifier/doi/10.1097/j.pain.0000000000002107info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:12:03Zoai:ri.conicet.gov.ar:11336/171492instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:12:03.932CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| title |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| spellingShingle |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach Mylius, Veit Parkinson's Disease Pain Clinical rating scale Validation |
| title_short |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| title_full |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| title_fullStr |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| title_full_unstemmed |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| title_sort |
The Parkinson disease pain classification system: Results from an international mechanism-based classification approach |
| dc.creator.none.fl_str_mv |
Mylius, Veit Perez Lloret, Santiago Cury, Rubens G. Teixeira, Manoel J. Barbosa, Victor R. Barbosa, Egberto R. Moreira, Larissa I. Listik, Clarice Fernandes, Ana M. de Lacerda Veiga, Diogo Barbour, Julio Hollenstein, Nathalie Oechsner, Matthias Walch, Julia Brugger, Florian Hägele Link, Stefan Beer, Serafin Rizos, Alexandra Chaudhuri, Kallol Ray Bouhassira, Didier Lefaucheur, Jean Pascal Timmermann, Lars Gonzenbach, Roman Kägi, Georg Möller, Jens Carsten Ciampi de Andrade, Daniel |
| author |
Mylius, Veit |
| author_facet |
Mylius, Veit Perez Lloret, Santiago Cury, Rubens G. Teixeira, Manoel J. Barbosa, Victor R. Barbosa, Egberto R. Moreira, Larissa I. Listik, Clarice Fernandes, Ana M. de Lacerda Veiga, Diogo Barbour, Julio Hollenstein, Nathalie Oechsner, Matthias Walch, Julia Brugger, Florian Hägele Link, Stefan Beer, Serafin Rizos, Alexandra Chaudhuri, Kallol Ray Bouhassira, Didier Lefaucheur, Jean Pascal Timmermann, Lars Gonzenbach, Roman Kägi, Georg Möller, Jens Carsten Ciampi de Andrade, Daniel |
| author_role |
author |
| author2 |
Perez Lloret, Santiago Cury, Rubens G. Teixeira, Manoel J. Barbosa, Victor R. Barbosa, Egberto R. Moreira, Larissa I. Listik, Clarice Fernandes, Ana M. de Lacerda Veiga, Diogo Barbour, Julio Hollenstein, Nathalie Oechsner, Matthias Walch, Julia Brugger, Florian Hägele Link, Stefan Beer, Serafin Rizos, Alexandra Chaudhuri, Kallol Ray Bouhassira, Didier Lefaucheur, Jean Pascal Timmermann, Lars Gonzenbach, Roman Kägi, Georg Möller, Jens Carsten Ciampi de Andrade, Daniel |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Parkinson's Disease Pain Clinical rating scale Validation |
| topic |
Parkinson's Disease Pain Clinical rating scale Validation |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
Pain is a common nonmotor symptom in patients with Parkinson disease (PD) but the correct diagnosis of the respective cause remains difficult because suitable tools are lacking, so far. We developed a framework to differentiate PD- from non-PD-related pain and classify PD-related pain into 3 groups based on validated mechanistic pain descriptors (nociceptive, neuropathic, or nociplastic), which encompass all the previously described PD pain types. Severity of PD-related pain syndromes was scored by ratings of intensity, frequency, and interference with daily living activities. The PD-Pain Classification System (PD-PCS) was compared with classic pain measures (ie, brief pain inventory and McGill pain questionnaire [MPQ], PDQ-8 quality of life score, MDS-UPDRS scores, and nonmotor symptoms). 159 nondemented PD patients (disease duration 10.2 6 7.6 years) and 37 healthy controls were recruited in 4 centers. PDrelated pain was present in 122 patients (77%), with 24 (15%) suffering one or more syndromes at the same time. PD-related nociceptive, neuropathic, or nociplastic pain was diagnosed in 87 (55%), 25 (16%), or 35 (22%), respectively. Pain unrelated to PD was present in 35 (22%) patients. Overall, PD-PCS severity score significantly correlated with pain’s Brief Pain Inventory and MPQ ratings, presence of dyskinesia and motor fluctuations, PDQ-8 scores, depression, and anxiety measures. Moderate intrarater and interrater reliability was observed. The PD-PCS is a valid and reliable tool for differentiating PD-related pain from PD-unrelated pain. It detects and scores mechanistic pain subtypes in a pragmatic and treatment-oriented approach, unifying previous classifications of PD-pain. Fil: Mylius, Veit. Universitat Phillips; Alemania. Center for Neurorehabilitation; Suiza. Kantonsspital St; Suiza Fil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina Fil: Cury, Rubens G.. Universidade de Sao Paulo; Brasil Fil: Teixeira, Manoel J.. Universidade de Sao Paulo; Brasil Fil: Barbosa, Victor R.. Universidade de Sao Paulo; Brasil Fil: Barbosa, Egberto R.. Universidade de Sao Paulo; Brasil Fil: Moreira, Larissa I.. Universidade de Sao Paulo; Brasil Fil: Listik, Clarice. Universidade de Sao Paulo; Brasil Fil: Fernandes, Ana M.. Universidade de Sao Paulo; Brasil Fil: de Lacerda Veiga, Diogo. Universidade de Sao Paulo; Brasil Fil: Barbour, Julio. Universidade de Sao Paulo; Brasil Fil: Hollenstein, Nathalie. Universidade de Sao Paulo; Brasil Fil: Oechsner, Matthias. Center for Neurological Rehabilitation; Suiza Fil: Walch, Julia. Kantonsspital St; Suiza Fil: Brugger, Florian. Kantonsspital St; Suiza Fil: Hägele Link, Stefan. Kantonsspital St; Suiza Fil: Beer, Serafin. Center for Neurorehabilitation; Suiza Fil: Rizos, Alexandra. King's College Hospital; Reino Unido Fil: Chaudhuri, Kallol Ray. The Maurice Wohl Clinical Neuroscience Institute; Reino Unido. King's College Hospital; Reino Unido Fil: Bouhassira, Didier. Université Versailles-Saint-Quentin; Francia. Hôpital Ambroise Paré; Francia Fil: Lefaucheur, Jean Pascal. Université Paris-Est-Créteil; Francia Fil: Timmermann, Lars. Universitat Phillips; Alemania Fil: Gonzenbach, Roman. Center for Neurorehabilitation; Suiza Fil: Kägi, Georg. Kantonsspital St; Suiza Fil: Möller, Jens Carsten. Universitat Phillips; Alemania. Center for Neurological Rehabilitation; Suiza Fil: Ciampi de Andrade, Daniel. Universidade de Sao Paulo; Brasil |
| description |
Pain is a common nonmotor symptom in patients with Parkinson disease (PD) but the correct diagnosis of the respective cause remains difficult because suitable tools are lacking, so far. We developed a framework to differentiate PD- from non-PD-related pain and classify PD-related pain into 3 groups based on validated mechanistic pain descriptors (nociceptive, neuropathic, or nociplastic), which encompass all the previously described PD pain types. Severity of PD-related pain syndromes was scored by ratings of intensity, frequency, and interference with daily living activities. The PD-Pain Classification System (PD-PCS) was compared with classic pain measures (ie, brief pain inventory and McGill pain questionnaire [MPQ], PDQ-8 quality of life score, MDS-UPDRS scores, and nonmotor symptoms). 159 nondemented PD patients (disease duration 10.2 6 7.6 years) and 37 healthy controls were recruited in 4 centers. PDrelated pain was present in 122 patients (77%), with 24 (15%) suffering one or more syndromes at the same time. PD-related nociceptive, neuropathic, or nociplastic pain was diagnosed in 87 (55%), 25 (16%), or 35 (22%), respectively. Pain unrelated to PD was present in 35 (22%) patients. Overall, PD-PCS severity score significantly correlated with pain’s Brief Pain Inventory and MPQ ratings, presence of dyskinesia and motor fluctuations, PDQ-8 scores, depression, and anxiety measures. Moderate intrarater and interrater reliability was observed. The PD-PCS is a valid and reliable tool for differentiating PD-related pain from PD-unrelated pain. It detects and scores mechanistic pain subtypes in a pragmatic and treatment-oriented approach, unifying previous classifications of PD-pain. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-04 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/171492 Mylius, Veit; Perez Lloret, Santiago; Cury, Rubens G.; Teixeira, Manoel J.; Barbosa, Victor R.; et al.; The Parkinson disease pain classification system: Results from an international mechanism-based classification approach; Lippincott Williams; Pain; 162; 4; 4-2021; 1201-1210 0304-3959 1872-6623 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/171492 |
| identifier_str_mv |
Mylius, Veit; Perez Lloret, Santiago; Cury, Rubens G.; Teixeira, Manoel J.; Barbosa, Victor R.; et al.; The Parkinson disease pain classification system: Results from an international mechanism-based classification approach; Lippincott Williams; Pain; 162; 4; 4-2021; 1201-1210 0304-3959 1872-6623 CONICET Digital CONICET |
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eng |
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eng |
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Lippincott Williams |
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Lippincott Williams |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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