Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoi...
- Autores
- Fernández Ávila, Daniel G.; Patiño Hernández, Daniela; Moreno Luna, Socorro; Brance, María Lorena; Arbeláez, Álvaro; Vilar, Antonio Cachafeiro; Lozada, Carlos; Ríos, Carlos; Toro, Carlos; Ramírez, Claudia; Pons Estel, Guillermo; Ugarte Gil, Manuel; Narváez, María; Albanese, Miguel; Roa, Orlando; Ruiz, Oscar; Burgos, Paula; Xavier, Ricardo; Fuentes, Yurilis; Soriano, Enrique
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background: Clinical experience has shown that a single measure is not sufficient to assess disease activity in rheumatoid arthritis (RA). Various clinimetric tools are necessary to address the many clinical situations that can arise.Methods: In order to develop a comprehensive measurement tool, the Pan American League of Associations for Rheumatology searched for the most frequent measures of disease activity applied in RA by means of a semi-systematic review of the available literature.Results: We found that the most frequently reported measures of disease activity were the 28-joint Disease Activity Score, C-reactive protein, and the erythrocyte sedimentation rate, followed by patient-reported measures of pain and stiffness and many other composite indices and patient-reported outcome measures. The most frequent physician-reported sign of disease was the swollen joint count, and the most frequently self-reported feature was the increase in disease activity or flares.Conclusion: In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. Key Points • The goal of treatment of RA is to achieve the best possible control of inflammation, or even remission; therefore, disease management should include systematic and regular evaluation of inflammation and health status. • Clinimetric tools evaluate a series of variables (e.g., symptoms, functional capacity, disease severity, quality of life, disease progression) and can reveal substantial prognostic and therapeutic differences between patients. • Our clinimetric tool, which is based on a combination of data (e.g., clinical variables, laboratory results, PROMs), can play a relevant role in patient assessment and care.
Fil: Fernández Ávila, Daniel G.. Pontificia Universidad Javeriana; Colombia
Fil: Patiño Hernández, Daniela. Hospital Universitario San Ignacio; Colombia
Fil: Moreno Luna, Socorro. Pontificia Universidad Javeriana; Colombia
Fil: Brance, María Lorena. Universidad Nacional de Rosario. Facultad de Ciencias Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Fil: Arbeláez, Álvaro. Clínica Imbanaco; Colombia
Fil: Vilar, Antonio Cachafeiro. Pacífica Salud; Panamá
Fil: Lozada, Carlos. University of Miami; Estados Unidos
Fil: Ríos, Carlos. Universidad de Especialidades Espíritu Santo; Ecuador
Fil: Toro, Carlos. Centro de Referencia en Osteoporosis y Reumatología; Colombia
Fil: Ramírez, Claudia. Rheumatology Division Keralty; Colombia
Fil: Pons Estel, Guillermo. Centro Regional de Enfermedades Autoinmunes y Reumáticas; Argentina
Fil: Ugarte Gil, Manuel. Universidad Cientifica del Sur;
Fil: Narváez, María. Rheumatology Division Keralty; Colombia
Fil: Albanese, Miguel. Centro de Asistencia del CASMU; Uruguay
Fil: Roa, Orlando. Rheumatology Division Keralty; Colombia
Fil: Ruiz, Oscar. Rheumatology Division Keralty; Colombia
Fil: Burgos, Paula. Pontificia Universidad Católica de Chile; Chile
Fil: Xavier, Ricardo. Rheumatology Service Hospital de Clinicas de Porto Alegre; Brasil
Fil: Fuentes, Yurilis. Universidad de Oriente; Venezuela
Fil: Soriano, Enrique. Hospital Italiano; Argentina - Materia
-
Assessment
Clinimetrics
Rheumatoid arthritis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/260353
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oai:ri.conicet.gov.ar:11336/260353 |
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Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritisFernández Ávila, Daniel G.Patiño Hernández, DanielaMoreno Luna, SocorroBrance, María LorenaArbeláez, ÁlvaroVilar, Antonio CachafeiroLozada, CarlosRíos, CarlosToro, CarlosRamírez, ClaudiaPons Estel, GuillermoUgarte Gil, ManuelNarváez, MaríaAlbanese, MiguelRoa, OrlandoRuiz, OscarBurgos, PaulaXavier, RicardoFuentes, YurilisSoriano, EnriqueAssessmentClinimetricsRheumatoid arthritishttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Background: Clinical experience has shown that a single measure is not sufficient to assess disease activity in rheumatoid arthritis (RA). Various clinimetric tools are necessary to address the many clinical situations that can arise.Methods: In order to develop a comprehensive measurement tool, the Pan American League of Associations for Rheumatology searched for the most frequent measures of disease activity applied in RA by means of a semi-systematic review of the available literature.Results: We found that the most frequently reported measures of disease activity were the 28-joint Disease Activity Score, C-reactive protein, and the erythrocyte sedimentation rate, followed by patient-reported measures of pain and stiffness and many other composite indices and patient-reported outcome measures. The most frequent physician-reported sign of disease was the swollen joint count, and the most frequently self-reported feature was the increase in disease activity or flares.Conclusion: In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. Key Points • The goal of treatment of RA is to achieve the best possible control of inflammation, or even remission; therefore, disease management should include systematic and regular evaluation of inflammation and health status. • Clinimetric tools evaluate a series of variables (e.g., symptoms, functional capacity, disease severity, quality of life, disease progression) and can reveal substantial prognostic and therapeutic differences between patients. • Our clinimetric tool, which is based on a combination of data (e.g., clinical variables, laboratory results, PROMs), can play a relevant role in patient assessment and care.Fil: Fernández Ávila, Daniel G.. Pontificia Universidad Javeriana; ColombiaFil: Patiño Hernández, Daniela. Hospital Universitario San Ignacio; ColombiaFil: Moreno Luna, Socorro. Pontificia Universidad Javeriana; ColombiaFil: Brance, María Lorena. Universidad Nacional de Rosario. Facultad de Ciencias Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Arbeláez, Álvaro. Clínica Imbanaco; ColombiaFil: Vilar, Antonio Cachafeiro. Pacífica Salud; PanamáFil: Lozada, Carlos. University of Miami; Estados UnidosFil: Ríos, Carlos. Universidad de Especialidades Espíritu Santo; EcuadorFil: Toro, Carlos. Centro de Referencia en Osteoporosis y Reumatología; ColombiaFil: Ramírez, Claudia. Rheumatology Division Keralty; ColombiaFil: Pons Estel, Guillermo. Centro Regional de Enfermedades Autoinmunes y Reumáticas; ArgentinaFil: Ugarte Gil, Manuel. Universidad Cientifica del Sur;Fil: Narváez, María. Rheumatology Division Keralty; ColombiaFil: Albanese, Miguel. Centro de Asistencia del CASMU; UruguayFil: Roa, Orlando. Rheumatology Division Keralty; ColombiaFil: Ruiz, Oscar. Rheumatology Division Keralty; ColombiaFil: Burgos, Paula. Pontificia Universidad Católica de Chile; ChileFil: Xavier, Ricardo. Rheumatology Service Hospital de Clinicas de Porto Alegre; BrasilFil: Fuentes, Yurilis. Universidad de Oriente; VenezuelaFil: Soriano, Enrique. Hospital Italiano; ArgentinaSpringer2024-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/260353Fernández Ávila, Daniel G.; Patiño Hernández, Daniela; Moreno Luna, Socorro; Brance, María Lorena; Arbeláez, Álvaro; et al.; Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis; Springer; Clinical Rheumatology.; 43; 4; 2-2024; 1277-12850770-3198CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s10067-024-06868-winfo:eu-repo/semantics/altIdentifier/doi/10.1007/s10067-024-06868-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:18Zoai:ri.conicet.gov.ar:11336/260353instacron: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 09:54:19.137CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
title |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
spellingShingle |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis Fernández Ávila, Daniel G. Assessment Clinimetrics Rheumatoid arthritis |
title_short |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
title_full |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
title_fullStr |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
title_full_unstemmed |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
title_sort |
Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis |
dc.creator.none.fl_str_mv |
Fernández Ávila, Daniel G. Patiño Hernández, Daniela Moreno Luna, Socorro Brance, María Lorena Arbeláez, Álvaro Vilar, Antonio Cachafeiro Lozada, Carlos Ríos, Carlos Toro, Carlos Ramírez, Claudia Pons Estel, Guillermo Ugarte Gil, Manuel Narváez, María Albanese, Miguel Roa, Orlando Ruiz, Oscar Burgos, Paula Xavier, Ricardo Fuentes, Yurilis Soriano, Enrique |
author |
Fernández Ávila, Daniel G. |
author_facet |
Fernández Ávila, Daniel G. Patiño Hernández, Daniela Moreno Luna, Socorro Brance, María Lorena Arbeláez, Álvaro Vilar, Antonio Cachafeiro Lozada, Carlos Ríos, Carlos Toro, Carlos Ramírez, Claudia Pons Estel, Guillermo Ugarte Gil, Manuel Narváez, María Albanese, Miguel Roa, Orlando Ruiz, Oscar Burgos, Paula Xavier, Ricardo Fuentes, Yurilis Soriano, Enrique |
author_role |
author |
author2 |
Patiño Hernández, Daniela Moreno Luna, Socorro Brance, María Lorena Arbeláez, Álvaro Vilar, Antonio Cachafeiro Lozada, Carlos Ríos, Carlos Toro, Carlos Ramírez, Claudia Pons Estel, Guillermo Ugarte Gil, Manuel Narváez, María Albanese, Miguel Roa, Orlando Ruiz, Oscar Burgos, Paula Xavier, Ricardo Fuentes, Yurilis Soriano, Enrique |
author2_role |
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 |
Assessment Clinimetrics Rheumatoid arthritis |
topic |
Assessment Clinimetrics Rheumatoid arthritis |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Background: Clinical experience has shown that a single measure is not sufficient to assess disease activity in rheumatoid arthritis (RA). Various clinimetric tools are necessary to address the many clinical situations that can arise.Methods: In order to develop a comprehensive measurement tool, the Pan American League of Associations for Rheumatology searched for the most frequent measures of disease activity applied in RA by means of a semi-systematic review of the available literature.Results: We found that the most frequently reported measures of disease activity were the 28-joint Disease Activity Score, C-reactive protein, and the erythrocyte sedimentation rate, followed by patient-reported measures of pain and stiffness and many other composite indices and patient-reported outcome measures. The most frequent physician-reported sign of disease was the swollen joint count, and the most frequently self-reported feature was the increase in disease activity or flares.Conclusion: In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. Key Points • The goal of treatment of RA is to achieve the best possible control of inflammation, or even remission; therefore, disease management should include systematic and regular evaluation of inflammation and health status. • Clinimetric tools evaluate a series of variables (e.g., symptoms, functional capacity, disease severity, quality of life, disease progression) and can reveal substantial prognostic and therapeutic differences between patients. • Our clinimetric tool, which is based on a combination of data (e.g., clinical variables, laboratory results, PROMs), can play a relevant role in patient assessment and care. Fil: Fernández Ávila, Daniel G.. Pontificia Universidad Javeriana; Colombia Fil: Patiño Hernández, Daniela. Hospital Universitario San Ignacio; Colombia Fil: Moreno Luna, Socorro. Pontificia Universidad Javeriana; Colombia Fil: Brance, María Lorena. Universidad Nacional de Rosario. Facultad de Ciencias Médicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina Fil: Arbeláez, Álvaro. Clínica Imbanaco; Colombia Fil: Vilar, Antonio Cachafeiro. Pacífica Salud; Panamá Fil: Lozada, Carlos. University of Miami; Estados Unidos Fil: Ríos, Carlos. Universidad de Especialidades Espíritu Santo; Ecuador Fil: Toro, Carlos. Centro de Referencia en Osteoporosis y Reumatología; Colombia Fil: Ramírez, Claudia. Rheumatology Division Keralty; Colombia Fil: Pons Estel, Guillermo. Centro Regional de Enfermedades Autoinmunes y Reumáticas; Argentina Fil: Ugarte Gil, Manuel. Universidad Cientifica del Sur; Fil: Narváez, María. Rheumatology Division Keralty; Colombia Fil: Albanese, Miguel. Centro de Asistencia del CASMU; Uruguay Fil: Roa, Orlando. Rheumatology Division Keralty; Colombia Fil: Ruiz, Oscar. Rheumatology Division Keralty; Colombia Fil: Burgos, Paula. Pontificia Universidad Católica de Chile; Chile Fil: Xavier, Ricardo. Rheumatology Service Hospital de Clinicas de Porto Alegre; Brasil Fil: Fuentes, Yurilis. Universidad de Oriente; Venezuela Fil: Soriano, Enrique. Hospital Italiano; Argentina |
description |
Background: Clinical experience has shown that a single measure is not sufficient to assess disease activity in rheumatoid arthritis (RA). Various clinimetric tools are necessary to address the many clinical situations that can arise.Methods: In order to develop a comprehensive measurement tool, the Pan American League of Associations for Rheumatology searched for the most frequent measures of disease activity applied in RA by means of a semi-systematic review of the available literature.Results: We found that the most frequently reported measures of disease activity were the 28-joint Disease Activity Score, C-reactive protein, and the erythrocyte sedimentation rate, followed by patient-reported measures of pain and stiffness and many other composite indices and patient-reported outcome measures. The most frequent physician-reported sign of disease was the swollen joint count, and the most frequently self-reported feature was the increase in disease activity or flares.Conclusion: In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. Key Points • The goal of treatment of RA is to achieve the best possible control of inflammation, or even remission; therefore, disease management should include systematic and regular evaluation of inflammation and health status. • Clinimetric tools evaluate a series of variables (e.g., symptoms, functional capacity, disease severity, quality of life, disease progression) and can reveal substantial prognostic and therapeutic differences between patients. • Our clinimetric tool, which is based on a combination of data (e.g., clinical variables, laboratory results, PROMs), can play a relevant role in patient assessment and care. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/260353 Fernández Ávila, Daniel G.; Patiño Hernández, Daniela; Moreno Luna, Socorro; Brance, María Lorena; Arbeláez, Álvaro; et al.; Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis; Springer; Clinical Rheumatology.; 43; 4; 2-2024; 1277-1285 0770-3198 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/260353 |
identifier_str_mv |
Fernández Ávila, Daniel G.; Patiño Hernández, Daniela; Moreno Luna, Socorro; Brance, María Lorena; Arbeláez, Álvaro; et al.; Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis; Springer; Clinical Rheumatology.; 43; 4; 2-2024; 1277-1285 0770-3198 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s10067-024-06868-w info:eu-repo/semantics/altIdentifier/doi/10.1007/s10067-024-06868-w |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269278524407808 |
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13.13397 |