Applications of the European Parkinson's Disease Association sponsored Parkinson's Disease Composite Scale (PDCS).

This study was addressed to determine the presence of Parkinson disease (PD) manifestations, their distribution according to motor subtypes, and the relationships with health-related quality of life (QoL) using the recently validated European Parkinson's Disease Association sponsored Parkinson's Disease Composite Scale (PDCS). Frequency of symptoms was determined by the scores of items (present if >0). Using ROC analysis and Youden method, MDS-UPDRS motor subtypes were projected on the PDCS to achieve a comparable classification based on the PDCS scores. The same method was used to estimate severity levels from other measures in the study. The association between the PDCS and QoL (PDQ-39) was analyzed by correlation and multiple linear regression. The sample consisted of 776 PD patients. We found that the frequency of PD manifestations with PDCS and MDS-UPDRS were overlapping, the average difference between scales being 5.5% only. Using the MDS-UPDRS subtyping, 215 patients (27.7%) were assigned as Tremor Dominant (TD), 60 (7.7%) Indeterminate, and 501 (64.6%) Postural Instability and Gait Difficulty (PIGD) in this cohort. With this classification as criterion, the analogous PDCS-based ratio provided these cut-off values: TD subtype, =1.06; Indeterminate, <1.06 but >0.65; and PIGD, <0.65. The agreement between the two scales on this classification was substantial (87.6%; kappa = 0.69). PDCS total score cut-offs for PD severity were: 23/24 for mild/moderate and 41/42 for moderate/severe. Moderate to high correlations ( r = 0.35-0.80) between PDCS and PDQ-39 were obtained, and the four PDCS domains showed a significant independent influence on QoL. The conclusions are: (1) the PDCS assessed the frequency of PD symptoms analogous to the MDS-UPDRS; (2) motor subtypes and severity levels can be determined with the PDCS; (3) a significant association between PDCS and QoL scores exists.

• Autores: Balestrino, Roberta; Hurtado González, Carlos Alberto; Stocchi, Fabrizio; Radicati, Fabiana Giada; Chaudhuri, K. Ray; Rodriguez Blazquez, Carmen; Martínez Martin, Pablo; Pdcs European Study Group; Adarmes, Astrid D; Méndez Del Barrio, Carlota; Ariadne, Vakirli; Aschermann, Zsuzsanna; Juhász, Annamária; Harmat, Márk; Bostantjopoulou, Sevasti; Corbo, Massimo; Grassi, Andrea; Dellaporta, Dionysia; Falup Pecurariu, Cristian; Diaconu, Stefania; Giagkou, Nikolaos; Guekht, Alla; Popov, Georgy; Gurevich, Tanya; Johansson, Anders; Sundgren, Mathias; Kefalopoulou, Zinovia; Ellul, John; Kostic, Vladimir S; Kovacs, Norbert; Marti, Maria J; Planelles, Lluis; Migirov-Sanderovich, Angel; Ezra, Adi; Minar, Michal; Mir, Pablo; Necpal, Jan; Popovici, Maria; Simitsi, Athima; Stefanis, Leonidas; Simu, Mihaela; Rosca, Cecilia; Skorvanek, Matej; Stefani, Alessandro; Cerroni, Rocco; Stamelou, Maria; Tsolaki, Magda; Vuletic, Vladimira; Katsarou, Zoe
• Tipo de recurso: Article of journal
• Fecha de publicación: 2019
• Institución: Universidad Cooperativa de Colombia
• Repositorio: Repositorio UCC
• OAI Identifier: oai:repository.ucc.edu.co:20.500.12494/41666
• Acceso en línea: https://doi.org/10.1371/journal.pone.0122569; https://hdl.handle.net/20.500.12494/41666
• Palabra clave: Epidemiology; Parkinson's disease
• Rights: closedAccess
• License: http://purl.org/coar/access_right/c_14cb