BMC Rheumatology (Jan 2022)

The burden of the most common rheumatic disease in Colombia

  • Francy-Milena Cuervo,
  • Ana M. Santos,
  • John Londono,
  • José-Ignacio Angarita,
  • Juan C. Rueda,
  • Rodrigo Giraldo-Bustos,
  • Jesús Giovanny Ballesteros-Muñoz,
  • Eugenia-Lucia Saldarriaga,
  • Diana Padilla-Ortiz,
  • Viviana Reyes-Martinez,
  • Ingris Peláez-Ballestas,
  • Diana Diaz-Jiménez,
  • Pedro Santos-Moreno,
  • Carlos E. Pinzón,
  • Carlos Castañeda-Orjuela

DOI
https://doi.org/10.1186/s41927-021-00234-y
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 10

Abstract

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Abstract 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.

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