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The burden of the most common rheumatic disease in Colombia

BACKGROUND: Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonlethal consequences. In Colombia, it is possible to find local data and Global Burden of Disease (GBD) reports that collect information from varied contexts and apply complex statistical mod...

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Autores principales: Cuervo, Francy-Milena, Santos, Ana M., Londono, John, Angarita, José-Ignacio, Rueda, Juan C., Giraldo-Bustos, Rodrigo, Ballesteros-Muñoz, Jesús Giovanny, Saldarriaga, Eugenia-Lucia, Padilla-Ortiz, Diana, Reyes-Martinez, Viviana, Peláez-Ballestas, Ingris, Diaz-Jiménez, Diana, Santos-Moreno, Pedro, Pinzón, Carlos E., Castañeda-Orjuela, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772222/
https://www.ncbi.nlm.nih.gov/pubmed/35045891
http://dx.doi.org/10.1186/s41927-021-00234-y
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author Cuervo, Francy-Milena
Santos, Ana M.
Londono, John
Angarita, José-Ignacio
Rueda, Juan C.
Giraldo-Bustos, Rodrigo
Ballesteros-Muñoz, Jesús Giovanny
Saldarriaga, Eugenia-Lucia
Padilla-Ortiz, Diana
Reyes-Martinez, Viviana
Peláez-Ballestas, Ingris
Diaz-Jiménez, Diana
Santos-Moreno, Pedro
Pinzón, Carlos E.
Castañeda-Orjuela, Carlos
author_facet Cuervo, Francy-Milena
Santos, Ana M.
Londono, John
Angarita, José-Ignacio
Rueda, Juan C.
Giraldo-Bustos, Rodrigo
Ballesteros-Muñoz, Jesús Giovanny
Saldarriaga, Eugenia-Lucia
Padilla-Ortiz, Diana
Reyes-Martinez, Viviana
Peláez-Ballestas, Ingris
Diaz-Jiménez, Diana
Santos-Moreno, Pedro
Pinzón, Carlos E.
Castañeda-Orjuela, Carlos
author_sort Cuervo, Francy-Milena
collection PubMed
description BACKGROUND: Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonlethal consequences. In Colombia, it is possible to find local data and Global Burden of Disease (GBD) reports that collect information from varied contexts and apply complex statistical models, but no on-site estimations are available. METHODS: This was a descriptive study on the burden of RD based on occurrence and mortality data in the general population during 2015, including information and prevalence estimations from the Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) study. Disability-adjusted life years (DALYs) were estimated by combining measures of years of life lost (YLL) and years lived with disability (YLDs). For disability weight estimations among cases, different COPCORD responses were mapped using flowcharts to show the severity distribution according to GBD. All model parameters and results were validated through an expert consensus panel. RESULTS: Low back pain (LBP) was the RD with the greatest burden of disease, costing 606.05 (95% CI 502.76–716.58) DALYs per 100,000 inhabitants, followed by osteoarthritis (292.11; 95% CI 205.76–386.85) and rheumatoid arthritis (192.46, 95% CI 109.7–239.69). CONCLUSIONS: The burden of RD is as high in Colombia as in other countries of the region. The results offer an interesting tool for optimizing healthcare system design as well as for planning the distribution of human and economic resources to achieve early diagnosis and adequate care of these diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41927-021-00234-y.
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spelling pubmed-87722222022-01-20 The burden of the most common rheumatic disease in Colombia Cuervo, Francy-Milena Santos, Ana M. Londono, John Angarita, José-Ignacio Rueda, Juan C. Giraldo-Bustos, Rodrigo Ballesteros-Muñoz, Jesús Giovanny Saldarriaga, Eugenia-Lucia Padilla-Ortiz, Diana Reyes-Martinez, Viviana Peláez-Ballestas, Ingris Diaz-Jiménez, Diana Santos-Moreno, Pedro Pinzón, Carlos E. Castañeda-Orjuela, Carlos BMC Rheumatol Research BACKGROUND: Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonlethal consequences. In Colombia, it is possible to find local data and Global Burden of Disease (GBD) reports that collect information from varied contexts and apply complex statistical models, but no on-site estimations are available. METHODS: This was a descriptive study on the burden of RD based on occurrence and mortality data in the general population during 2015, including information and prevalence estimations from the Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) study. Disability-adjusted life years (DALYs) were estimated by combining measures of years of life lost (YLL) and years lived with disability (YLDs). For disability weight estimations among cases, different COPCORD responses were mapped using flowcharts to show the severity distribution according to GBD. All model parameters and results were validated through an expert consensus panel. RESULTS: Low back pain (LBP) was the RD with the greatest burden of disease, costing 606.05 (95% CI 502.76–716.58) DALYs per 100,000 inhabitants, followed by osteoarthritis (292.11; 95% CI 205.76–386.85) and rheumatoid arthritis (192.46, 95% CI 109.7–239.69). CONCLUSIONS: The burden of RD is as high in Colombia as in other countries of the region. The results offer an interesting tool for optimizing healthcare system design as well as for planning the distribution of human and economic resources to achieve early diagnosis and adequate care of these diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41927-021-00234-y. BioMed Central 2022-01-20 /pmc/articles/PMC8772222/ /pubmed/35045891 http://dx.doi.org/10.1186/s41927-021-00234-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cuervo, Francy-Milena
Santos, Ana M.
Londono, John
Angarita, José-Ignacio
Rueda, Juan C.
Giraldo-Bustos, Rodrigo
Ballesteros-Muñoz, Jesús Giovanny
Saldarriaga, Eugenia-Lucia
Padilla-Ortiz, Diana
Reyes-Martinez, Viviana
Peláez-Ballestas, Ingris
Diaz-Jiménez, Diana
Santos-Moreno, Pedro
Pinzón, Carlos E.
Castañeda-Orjuela, Carlos
The burden of the most common rheumatic disease in Colombia
title The burden of the most common rheumatic disease in Colombia
title_full The burden of the most common rheumatic disease in Colombia
title_fullStr The burden of the most common rheumatic disease in Colombia
title_full_unstemmed The burden of the most common rheumatic disease in Colombia
title_short The burden of the most common rheumatic disease in Colombia
title_sort burden of the most common rheumatic disease in colombia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772222/
https://www.ncbi.nlm.nih.gov/pubmed/35045891
http://dx.doi.org/10.1186/s41927-021-00234-y
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