Artículo
Advances in diagnosis, classification, and management of pain in Parkinson's disease
Tinazzi, Michele; Gandolfi, Marialuisa; Artusi, Carlo Alberto; Bannister, Kirsty; Rukavina, Katarina; Brefel Courbon, Christine; de Andrade, Daniel Ciampi; Perez Lloret, Santiago
; Mylius, Veit
; Mylius, Veit
Fecha de publicación:
04/2025
Editorial:
Elsevier Science Inc.
Revista:
Lancet Neurology
ISSN:
1474-4422
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
With over 10 million people affected worldwide, Parkinson's disease is the fastest-growing neurological disorder. More than two-thirds of people with Parkinson's disease live with chronic pain, which can manifest in various stages of the disease, substantially affecting daily activities and quality of life. The Parkinson's disease Pain Classification System overcomes the limitations of previous classification systems by distinguishing between pain related to Parkinson's disease and unrelated pain, while also incorporating clinical and pathophysiological (mechanistic) descriptors such as nociceptive, neuropathic, and nociplastic pain. This system provides a framework for accurate diagnosis and mechanism-based therapy. Alongside the appropriate classification of pain, consideration of treatment approaches that include non-invasive (pharmacological and non-pharmacological) and invasive strategies tailored to specific types of pain will refine and inform research trials and clinical practice when it comes to treating pain in Parkinson's disease.
Palabras clave:
PARKINSON'S DISEASE
,
PAIN
,
DIAGNOSIS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Tinazzi, Michele; Gandolfi, Marialuisa; Artusi, Carlo Alberto; Bannister, Kirsty; Rukavina, Katarina; et al.; Advances in diagnosis, classification, and management of pain in Parkinson's disease; Elsevier Science Inc.; Lancet Neurology; 24; 4; 4-2025; 331-347
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