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

El objetivo de este estudio fue determinar la presencia de manifestaciones de la enfermedad de Parkinson (EP), su distribución según subtipos motores y las relaciones con la calidad de vida relacionada con la salud (CdV) utilizando la Escala Compuesta de la Enfermedad de Parkinson patrocinada por la...

Full description

Autores:
Hurtado González, Carlos Alberto
Balestrino, Roberta
Stocchi, Fabrizio
Giada Radicati, Fabiana
Chaudhuri, Ray
Rodriguez Blazquez, Carmen
Martinez Martin, Pablo
The PDCS European Study Group
Tipo de recurso:
Article of investigation
Fecha de publicación:
2019
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/33684
Acceso en línea:
https://doi.org/10.1038/s41531-019-0097-1
https://hdl.handle.net/20.500.12494/33684
Palabra clave:
Enfermedad de Parkinson
Calidad de vida
Epidemiología
Parkinson disease
Quality of life
Epidemiology
Rights
openAccess
License
Atribución
id COOPER2_9979b7f917dd99e1244bbb819ac1c039
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/33684
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
dc.title.spa.fl_str_mv Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
title Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
spellingShingle Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
Enfermedad de Parkinson
Calidad de vida
Epidemiología
Parkinson disease
Quality of life
Epidemiology
title_short Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
title_full Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
title_fullStr Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
title_full_unstemmed Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
title_sort Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)
dc.creator.fl_str_mv Hurtado González, Carlos Alberto
Balestrino, Roberta
Stocchi, Fabrizio
Giada Radicati, Fabiana
Chaudhuri, Ray
Rodriguez Blazquez, Carmen
Martinez Martin, Pablo
The PDCS European Study Group
dc.contributor.author.none.fl_str_mv Hurtado González, Carlos Alberto
Balestrino, Roberta
Stocchi, Fabrizio
Giada Radicati, Fabiana
Chaudhuri, Ray
Rodriguez Blazquez, Carmen
Martinez Martin, Pablo
The PDCS European Study Group
dc.subject.spa.fl_str_mv Enfermedad de Parkinson
Calidad de vida
Epidemiología
topic Enfermedad de Parkinson
Calidad de vida
Epidemiología
Parkinson disease
Quality of life
Epidemiology
dc.subject.other.spa.fl_str_mv Parkinson disease
Quality of life
Epidemiology
description El objetivo de este estudio fue determinar la presencia de manifestaciones de la enfermedad de Parkinson (EP), su distribución según subtipos motores y las relaciones con la calidad de vida relacionada con la salud (CdV) utilizando la Escala Compuesta de la Enfermedad de Parkinson patrocinada por la Asociación Europea de Enfermedad de Parkinson recientemente validada ( PDCS). La frecuencia de los síntomas se determinó mediante las puntuaciones de los elementos (presente si> 0). Utilizando el análisis ROC y el método de Youden, se proyectaron subtipos motores MDS-UPDRS en el PDCS para lograr una clasificación comparable basada en los puntajes del PDCS. Se utilizó el mismo método para estimar los niveles de gravedad a partir de otras medidas del estudio. La asociación entre PDCS y QoL (PDQ-39) se analizó mediante correlación y regresión lineal múltiple. La muestra estuvo formada por 776 pacientes en EP. Encontramos que la frecuencia de las manifestaciones de la EP con PDCS y MDS-UPDRS se superponían, siendo la diferencia promedio entre escalas solo del 5,5%. Utilizando el subtipo MDS-UPDRS, 215 pacientes (27,7%) fueron asignados como Temblor Dominante (TD), 60 (7,7%) Indeterminado y 501 (64,6%) Inestabilidad Postural y Dificultad de la Marcha (PIGD) en esta cohorte. Con esta clasificación como criterio, la relación basada en PDCS análoga proporcionó estos valores de corte: subtipo TD, ≥1.06; Indeterminado, <1,06 pero> 0,65; y PIGD, <0,65. La concordancia entre las dos escalas en esta clasificación fue sustancial (87,6%; kappa = 0,69). Los puntos de corte de la puntuación total del PDCS para la gravedad de la EP fueron: 23/24 para leve / moderada y 41/42 para moderada / grave. Se obtuvieron correlaciones de moderadas a altas (r = 0,35-0,80) entre PDCS y PDQ-39, y los cuatro dominios de PDCS mostraron una influencia independiente significativa en la calidad de vida. Las conclusiones son: (1) el PDCS evaluó la frecuencia de síntomas de la EP análoga a la MDS-UPDRS; (2) los subtipos motores y los niveles de gravedad se pueden determinar con el PDCS; (3) existe una asociación significativa entre las puntuaciones de PDCS y QoL.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-11
dc.date.accessioned.none.fl_str_mv 2021-03-19T20:29:27Z
dc.date.available.none.fl_str_mv 2021-03-19T20:29:27Z
dc.type.none.fl_str_mv Artículos Científicos
dc.type.hasVersion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.issn.spa.fl_str_mv 2373-8057
dc.identifier.uri.spa.fl_str_mv https://doi.org/10.1038/s41531-019-0097-1
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12494/33684
dc.identifier.bibliographicCitation.spa.fl_str_mv Balestrino, R., Hurtado-Gonzalez, C.A., Stocchi, F. et al. Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS). npj Parkinsons Dis. 5, 26 (2019). https://doi.org/10.1038/s41531-019-0097-1
identifier_str_mv 2373-8057
Balestrino, R., Hurtado-Gonzalez, C.A., Stocchi, F. et al. Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS). npj Parkinsons Dis. 5, 26 (2019). https://doi.org/10.1038/s41531-019-0097-1
url https://doi.org/10.1038/s41531-019-0097-1
https://hdl.handle.net/20.500.12494/33684
dc.relation.isversionof.spa.fl_str_mv https://www.nature.com/articles/s41531-019-0097-1#citeas
dc.relation.ispartofjournal.spa.fl_str_mv npj Parkinson's Disease
dc.relation.references.spa.fl_str_mv Balestrino, R. & Martinez-Martin, P. Neuropsychiatric symptoms, behavioural disorders, and quality of life in Parkinson’s disease. J. Neurol. Sci. 373, 173–178 (2017).
Barone, P. et al. The PRIAMO study: a multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson’s disease. Mov. Disord. 24, 1641–1649 (2009).
Barone, P., Erro, R. & Picillo, M. Quality of life and nonmotor symptoms in Parkinson’s disease. Int. Rev. Neurobiol. 133, 499–516 (2017).
Brown, C. A., Cheng, E. M., Hays, R. D., Vassar, S. D. & Vickrey, B. G. SF-36 includes less Parkinson disease (PD)-targeted content but is more responsive to change than two PD-targeted health-related quality of life measures. Qual. Life Res. 18, 1219–1237 (2009)
Chaudhuri, K. R. et al. The burden of non-motor symptoms in Parkinson's disease using a self-completed non-motor questionnaire: a simple grading system. Parkinsonism Relat. Disord. 21, 287–291 (2015).
Chaudhuri, K. R., Yates, L. & Martinez-Martin, P. The non-motor symptom complex
Chaudhuri, K. R. et al. The nondeclaration of nonmotor symptoms of Parkinson's disease to health care professionals: an international study using the nonmotor symptoms questionnaire. Mov. Disord. 25, 704–709 (2010).
Damiano, A. M. et al. Evaluation of a measurement strategy for Parkinson's disease: assessing patient health-related quality of life. Qual. Life Res. 9, 87–100 (2000).
Fereshtehnejad, S. M. & Postuma, R. B. Subtypes of Parkinson’s disease: what do they tell us about disease progression? Curr. Neurol. Neurosci. Rep. 17, 34 (2017).
Goetz, C. G. et al. Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: Status and recommendations The Movement Disorder Society Task Force on rating scales for Parkinson’s disease. Mov. Disord. 19, 1020–1028 (2008).
Goetz, C. G. et al. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Mov. Disord. 23, 2129–2170 (2008).
Hays, R. D. et al. Effects of mode and order of administration on generic healthrelated quality of life scores. Value Health 12, 1035–1039 (2009).
Hoehn, M. & Yahr, M. D. Parkinsonism: onset, progression and mortality. Neurology 17, 427–442 (1967). R. Balestrino et al. Published in partnership with the Parkinson’s Foundation npj Parkinson’s Disease (2019)
Juniper en: Spilker, B. Quality of Life and Pharmacoeconomics in Clinical Trials. (Lippincott-Raven, Philadelphia, 1996).
Kalia, L. V. & Lang, A. E. Parkinson’s disease. Lancet 386, 896–912 (2015).
Lees, A. J., Hardy, J. & Revesz, T. Parkinson’s disease. Lancet 373, 2055–2066 (2009).
Lozano, F. et al. Self-administered versus interview-based questionnaires among patients with intermittent claudication: Do they give different results? A crosssectional study. Sao Paulo Med J. 134, 63–69 (2016).
Marras, C. & Chaudhuri, K. R. Nonmotor features of Parkinson’s disease subtypes. Mov. Disord. 31, 1095–1102 (2016).
Martinez-Martin, P., Rodríguez-Blázquez, C., Forjaz, M. J. & de Pedro, J., SpanishAmerican Longitudinal PD Patient Study Group. The clinical impression of severity index for Parkinson’s disease: international validation study. Mov. Disord. 24, 211–217 (2009).
Martinez-Martin P. et al. Extensive validation study of the Parkinson’s Disease Composite Scale. Eur. J. Neurol. https://doi.org/10.1111/ene.13976 (2019).
Martinez-Martin, P. et al. Prevalence of nonmotor symptoms in Parkinson's disease in an international setting; Study using nonmotor symptoms questionnaire in 545 patients. Mov. Disord. 22, 1623–1629 (2007).
Martinez-Martin, P. & Chaudhuri, K. R. Comprehensive grading of Parkinson’s disease using motor and non-motor assessments: addressing a key unmet need. Expert Rev. Neurother. 18, 41–50 (2018).
Martinez-Martin, P. et al. Parkinson’s disease severity levels and MDS-Unified Parkinson’s Disease Rating Scale. Parkinsonism Relat. Disord. 21, 50–54 (2015).
Martinez-Martin, P. An introduction to the concept of “quality of life in Parkinson's disease”. J. Neurol. 245(Suppl 1), S2–S6 (1998).
Martinez-Martin, P. What is quality of life and how do we measure it? Relevance to Parkinson’s disease and movement disorders. Mov. Disord. 32, 382–392 (2017).
Martinez-Martin, P. The importance of non-motor disturbances to quality of life in Parkinson’s disease. J. Neurol. Sci. 310, 12–16 (2011).
Martínez-Martín, P. et al. Patients', doctors', and caregivers' assessment of disability using the UPDRS-ADL section: are these ratings interchangeable? Mov. Disord 18, 985–992 (2003).
Martinez-Martin, P. Nonmotor symptoms and health-related quality of life in early Parkinson’s disease. Mov. Disord. 29, 166–168 (2014).
Martinez-Martin, P., Rodriguez-Blazquez, C., Kurtis, M. M. & Chaudhuri, K. R., NMSS Validation Group. The impact of non-motor symptoms on health-related quality of life of patients with Parkinson's disease. Mov. Disord. 26, 399–406 (2011). of Parkinson's disease: a comprehensive a sessment is essential. Curr. Neurol. Neurosci. Rep. 5, 275–283 (2005).
Peto, V., Jenkinson, C., Fitzpatrick, R. & Greenhall, R. The development and validation of a short measure of functioning and wellbeing for individuals with Parkinson's disease. Qual. Life Res. 4, 241–248 (1995).
Postuma, R. B. et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov. Disord. 30, 1591–1601 (2015).
Sauerbier, A., Jenner, P., Todorova, A. & Chaudhuri, K. R. Non motor subtypes and Parkinson's disease. Parkinsonism Relat. Disord. 22, S41–S46 (2016).
Schapira, A. H. V., Chaudhuri, K. R. & Jenner, P. Non-motor features of Parkinson disease. Nat. Rev. Neurosci. 18, 435–450 (2017).
Stebbins, G. T. et al. How to identify tremor dominant and postural instability/gait difficulty groups with the Movement Disorder Society Unified Parkinson’s Disease Rating Scale: comparison with the Unified Parkinson’s Disease Rating Scale. Mov. Disord. 28, 668–670 (2013).
Stocchi, F. et al. The Parkinson’s Disease Composite Scale: results of the first validation study. Eur. J. Neurol. 25, 503–511 (2015).
Titova, N., Padmakumar, C., Lewis, S. J. G. & Chaudhuri, K. R. Parkinson's: a syndrome rather than a disease? J. Neural Transm. 124, 907–914 (2017).
van der Heeden, J. F. et al. Postural instability and gait are associated with severity and prognosis of Parkinson disease. Neurology 86, 2243–2250 (2016).
dc.rights.license.none.fl_str_mv Atribución
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Atribución
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 7 p.
dc.coverage.temporal.spa.fl_str_mv 26
dc.publisher.spa.fl_str_mv Universidad Cooperativa de Colombia, Facultad de Ciencias Sociales, Psicología, Cali
dc.publisher.program.spa.fl_str_mv Psicología
dc.publisher.place.spa.fl_str_mv Cali
institution Universidad Cooperativa de Colombia
bitstream.url.fl_str_mv https://repository.ucc.edu.co/bitstreams/a5384ee9-0dd4-465d-9461-827050936255/download
https://repository.ucc.edu.co/bitstreams/b492a163-613c-427d-bded-b039670b8c63/download
https://repository.ucc.edu.co/bitstreams/1d0ca1f5-65c6-49e0-8d4f-9ce4281565ca/download
https://repository.ucc.edu.co/bitstreams/9f319bd0-1a2f-458d-88dd-9ac2f643e1ee/download
bitstream.checksum.fl_str_mv 58b8f9c6dbde31c0775b34d70a0c4f6a
3bce4f7ab09dfc588f126e1e36e98a45
e7f90d953e31b6fcafaeaba26760524a
fc76dd7c9c804c007db01604642a70a4
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Cooperativa de Colombia
repository.mail.fl_str_mv bdigital@metabiblioteca.com
_version_ 1811564987347369984
spelling Hurtado González, Carlos Alberto Balestrino, RobertaStocchi, FabrizioGiada Radicati, FabianaChaudhuri, RayRodriguez Blazquez, CarmenMartinez Martin, PabloThe PDCS European Study Group262021-03-19T20:29:27Z2021-03-19T20:29:27Z2019-112373-8057https://doi.org/10.1038/s41531-019-0097-1https://hdl.handle.net/20.500.12494/33684Balestrino, R., Hurtado-Gonzalez, C.A., Stocchi, F. et al. Applications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS). npj Parkinsons Dis. 5, 26 (2019). https://doi.org/10.1038/s41531-019-0097-1El objetivo de este estudio fue determinar la presencia de manifestaciones de la enfermedad de Parkinson (EP), su distribución según subtipos motores y las relaciones con la calidad de vida relacionada con la salud (CdV) utilizando la Escala Compuesta de la Enfermedad de Parkinson patrocinada por la Asociación Europea de Enfermedad de Parkinson recientemente validada ( PDCS). La frecuencia de los síntomas se determinó mediante las puntuaciones de los elementos (presente si> 0). Utilizando el análisis ROC y el método de Youden, se proyectaron subtipos motores MDS-UPDRS en el PDCS para lograr una clasificación comparable basada en los puntajes del PDCS. Se utilizó el mismo método para estimar los niveles de gravedad a partir de otras medidas del estudio. La asociación entre PDCS y QoL (PDQ-39) se analizó mediante correlación y regresión lineal múltiple. La muestra estuvo formada por 776 pacientes en EP. Encontramos que la frecuencia de las manifestaciones de la EP con PDCS y MDS-UPDRS se superponían, siendo la diferencia promedio entre escalas solo del 5,5%. Utilizando el subtipo MDS-UPDRS, 215 pacientes (27,7%) fueron asignados como Temblor Dominante (TD), 60 (7,7%) Indeterminado y 501 (64,6%) Inestabilidad Postural y Dificultad de la Marcha (PIGD) en esta cohorte. Con esta clasificación como criterio, la relación basada en PDCS análoga proporcionó estos valores de corte: subtipo TD, ≥1.06; Indeterminado, <1,06 pero> 0,65; y PIGD, <0,65. La concordancia entre las dos escalas en esta clasificación fue sustancial (87,6%; kappa = 0,69). Los puntos de corte de la puntuación total del PDCS para la gravedad de la EP fueron: 23/24 para leve / moderada y 41/42 para moderada / grave. Se obtuvieron correlaciones de moderadas a altas (r = 0,35-0,80) entre PDCS y PDQ-39, y los cuatro dominios de PDCS mostraron una influencia independiente significativa en la calidad de vida. Las conclusiones son: (1) el PDCS evaluó la frecuencia de síntomas de la EP análoga a la MDS-UPDRS; (2) los subtipos motores y los niveles de gravedad se pueden determinar con el PDCS; (3) existe una asociación significativa entre las puntuaciones de PDCS y QoL.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.carlos.hurtadog@campusucc.edu.co7 p.Universidad Cooperativa de Colombia, Facultad de Ciencias Sociales, Psicología, CaliPsicologíaCalihttps://www.nature.com/articles/s41531-019-0097-1#citeasnpj Parkinson's DiseaseBalestrino, R. & Martinez-Martin, P. Neuropsychiatric symptoms, behavioural disorders, and quality of life in Parkinson’s disease. J. Neurol. Sci. 373, 173–178 (2017).Barone, P. et al. The PRIAMO study: a multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson’s disease. Mov. Disord. 24, 1641–1649 (2009).Barone, P., Erro, R. & Picillo, M. Quality of life and nonmotor symptoms in Parkinson’s disease. Int. Rev. Neurobiol. 133, 499–516 (2017).Brown, C. A., Cheng, E. M., Hays, R. D., Vassar, S. D. & Vickrey, B. G. SF-36 includes less Parkinson disease (PD)-targeted content but is more responsive to change than two PD-targeted health-related quality of life measures. Qual. Life Res. 18, 1219–1237 (2009)Chaudhuri, K. R. et al. The burden of non-motor symptoms in Parkinson's disease using a self-completed non-motor questionnaire: a simple grading system. Parkinsonism Relat. Disord. 21, 287–291 (2015).Chaudhuri, K. R., Yates, L. & Martinez-Martin, P. The non-motor symptom complexChaudhuri, K. R. et al. The nondeclaration of nonmotor symptoms of Parkinson's disease to health care professionals: an international study using the nonmotor symptoms questionnaire. Mov. Disord. 25, 704–709 (2010).Damiano, A. M. et al. Evaluation of a measurement strategy for Parkinson's disease: assessing patient health-related quality of life. Qual. Life Res. 9, 87–100 (2000).Fereshtehnejad, S. M. & Postuma, R. B. Subtypes of Parkinson’s disease: what do they tell us about disease progression? Curr. Neurol. Neurosci. Rep. 17, 34 (2017).Goetz, C. G. et al. Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: Status and recommendations The Movement Disorder Society Task Force on rating scales for Parkinson’s disease. Mov. Disord. 19, 1020–1028 (2008).Goetz, C. G. et al. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Mov. Disord. 23, 2129–2170 (2008).Hays, R. D. et al. Effects of mode and order of administration on generic healthrelated quality of life scores. Value Health 12, 1035–1039 (2009).Hoehn, M. & Yahr, M. D. Parkinsonism: onset, progression and mortality. Neurology 17, 427–442 (1967). R. Balestrino et al. Published in partnership with the Parkinson’s Foundation npj Parkinson’s Disease (2019)Juniper en: Spilker, B. Quality of Life and Pharmacoeconomics in Clinical Trials. (Lippincott-Raven, Philadelphia, 1996).Kalia, L. V. & Lang, A. E. Parkinson’s disease. Lancet 386, 896–912 (2015).Lees, A. J., Hardy, J. & Revesz, T. Parkinson’s disease. Lancet 373, 2055–2066 (2009).Lozano, F. et al. Self-administered versus interview-based questionnaires among patients with intermittent claudication: Do they give different results? A crosssectional study. Sao Paulo Med J. 134, 63–69 (2016).Marras, C. & Chaudhuri, K. R. Nonmotor features of Parkinson’s disease subtypes. Mov. Disord. 31, 1095–1102 (2016).Martinez-Martin, P., Rodríguez-Blázquez, C., Forjaz, M. J. & de Pedro, J., SpanishAmerican Longitudinal PD Patient Study Group. The clinical impression of severity index for Parkinson’s disease: international validation study. Mov. Disord. 24, 211–217 (2009).Martinez-Martin P. et al. Extensive validation study of the Parkinson’s Disease Composite Scale. Eur. J. Neurol. https://doi.org/10.1111/ene.13976 (2019).Martinez-Martin, P. et al. Prevalence of nonmotor symptoms in Parkinson's disease in an international setting; Study using nonmotor symptoms questionnaire in 545 patients. Mov. Disord. 22, 1623–1629 (2007).Martinez-Martin, P. & Chaudhuri, K. R. Comprehensive grading of Parkinson’s disease using motor and non-motor assessments: addressing a key unmet need. Expert Rev. Neurother. 18, 41–50 (2018).Martinez-Martin, P. et al. Parkinson’s disease severity levels and MDS-Unified Parkinson’s Disease Rating Scale. Parkinsonism Relat. Disord. 21, 50–54 (2015).Martinez-Martin, P. An introduction to the concept of “quality of life in Parkinson's disease”. J. Neurol. 245(Suppl 1), S2–S6 (1998).Martinez-Martin, P. What is quality of life and how do we measure it? Relevance to Parkinson’s disease and movement disorders. Mov. Disord. 32, 382–392 (2017).Martinez-Martin, P. The importance of non-motor disturbances to quality of life in Parkinson’s disease. J. Neurol. Sci. 310, 12–16 (2011).Martínez-Martín, P. et al. Patients', doctors', and caregivers' assessment of disability using the UPDRS-ADL section: are these ratings interchangeable? Mov. Disord 18, 985–992 (2003).Martinez-Martin, P. Nonmotor symptoms and health-related quality of life in early Parkinson’s disease. Mov. Disord. 29, 166–168 (2014).Martinez-Martin, P., Rodriguez-Blazquez, C., Kurtis, M. M. & Chaudhuri, K. R., NMSS Validation Group. The impact of non-motor symptoms on health-related quality of life of patients with Parkinson's disease. Mov. Disord. 26, 399–406 (2011). of Parkinson's disease: a comprehensive a sessment is essential. Curr. Neurol. Neurosci. Rep. 5, 275–283 (2005).Peto, V., Jenkinson, C., Fitzpatrick, R. & Greenhall, R. The development and validation of a short measure of functioning and wellbeing for individuals with Parkinson's disease. Qual. Life Res. 4, 241–248 (1995).Postuma, R. B. et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov. Disord. 30, 1591–1601 (2015).Sauerbier, A., Jenner, P., Todorova, A. & Chaudhuri, K. R. Non motor subtypes and Parkinson's disease. Parkinsonism Relat. Disord. 22, S41–S46 (2016).Schapira, A. H. V., Chaudhuri, K. R. & Jenner, P. Non-motor features of Parkinson disease. Nat. Rev. Neurosci. 18, 435–450 (2017).Stebbins, G. T. et al. How to identify tremor dominant and postural instability/gait difficulty groups with the Movement Disorder Society Unified Parkinson’s Disease Rating Scale: comparison with the Unified Parkinson’s Disease Rating Scale. Mov. Disord. 28, 668–670 (2013).Stocchi, F. et al. The Parkinson’s Disease Composite Scale: results of the first validation study. Eur. J. Neurol. 25, 503–511 (2015).Titova, N., Padmakumar, C., Lewis, S. J. G. & Chaudhuri, K. R. Parkinson's: a syndrome rather than a disease? J. Neural Transm. 124, 907–914 (2017).van der Heeden, J. F. et al. Postural instability and gait are associated with severity and prognosis of Parkinson disease. Neurology 86, 2243–2250 (2016).Enfermedad de ParkinsonCalidad de vidaEpidemiologíaParkinson diseaseQuality of lifeEpidemiologyApplications of the European Parkinson’s Disease Association sponsored Parkinson’s Disease Composite Scale (PDCS)Artículos Científicosinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleAtribucióninfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PublicationORIGINAL2019_parkinson’s_disease.pdf2019_parkinson’s_disease.pdfArtículoapplication/pdf237770https://repository.ucc.edu.co/bitstreams/a5384ee9-0dd4-465d-9461-827050936255/download58b8f9c6dbde31c0775b34d70a0c4f6aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84334https://repository.ucc.edu.co/bitstreams/b492a163-613c-427d-bded-b039670b8c63/download3bce4f7ab09dfc588f126e1e36e98a45MD52THUMBNAIL2019_parkinson’s_disease.pdf.jpg2019_parkinson’s_disease.pdf.jpgGenerated Thumbnailimage/jpeg6055https://repository.ucc.edu.co/bitstreams/1d0ca1f5-65c6-49e0-8d4f-9ce4281565ca/downloade7f90d953e31b6fcafaeaba26760524aMD53TEXT2019_parkinson’s_disease.pdf.txt2019_parkinson’s_disease.pdf.txtExtracted texttext/plain43294https://repository.ucc.edu.co/bitstreams/9f319bd0-1a2f-458d-88dd-9ac2f643e1ee/downloadfc76dd7c9c804c007db01604642a70a4MD5420.500.12494/33684oai:repository.ucc.edu.co:20.500.12494/336842024-08-10 09:36:27.92restrictedhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.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