The burden of the most common rheumatic disease in Colombia

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

doi:10.1186/s41927-021-00234-y

Abstract

BackgroundEstimating 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.MethodsThis 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.ResultsLow 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).ConclusionsThe 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.

Highlights

Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonle‐ thal consequences
The present study uses these newly available data on the prevalence of RD in addition to data found in secondary sources to estimate the burden of RD in Disability-adjusted life years (DALY) for the Colombian population. Study design This is a descriptive analysis of the burden of RD in DALYs in the Colombian population using secondary information about the prevalence and mortality of low back pain (LBP), OA and AR
Disease severity To identify the associated disability weight (DW) and years lived with disability (YLD), disease severity was categorized as defined in the Global Burden of Disease (GBD) study [6] (Table 2)

Summary

Introduction

Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonle‐ thal consequences. In Colombia, it is possible to find local data and Global Burden of Disease (GBD) reports that col‐ lect information from varied contexts and apply complex statistical models, but no on-site estimations are available. Rheumatic diseases (RDs) are non-fatal chronic conditions that characteristically present with pain and physical limitations as well as overall functional dependence. They constitute an increasing problem that should not be underestimated [1]. In 2019, the Global Burden of Disease (GBD) studies reported estimates identifying the most common conditions for varied regions of the world, including some RDs [5]. There have been other attempts to assess the burden of RA using national data collected in 2005 [9], but none of them include data representative of the full population

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Conclusion