National trends in the prevalence of chronic kidney disease among Korean adults, 2007-2020
Por:
Yoon SY, Park HW, Kim HJ, Kronbichler A, Koyanagi A, Smith L, Shin JI, Rhee SY, Lee SW, Kim JS, Hwang HS, Yon DK and Jeong K
Publicada:
10 abr 2023
Ahead of Print:
10 abr 2023
Categoría:
Multidisciplinary
Resumen:
Little is known about the prevalence of chronic kidney disease (CKD) during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to investigate the long-term trends in CKD prevalence from South Korea including the early pandemic. We used data from 108,152 Korean adults from 2007 to 2020 obtained from a representative longitudinal serial study. We defined CKD as a condition when the participant's estimated glomerular filtration rate was < 60 mL/min/1.73 m(2), or one-time spot proteinuria was >= 1 +, and then examined the overall trends in the prevalence of CKD. Among the included adults (n = 80,010), the overall national prevalence of CKD was 6.2%. The trend slope gradually increased from 2007 to 2019, however, there was a sudden decrease in 2020 (2007-2010, 5.1% [95% confidence interval (CI) 4.7-5.5]; 2017-2019, 7.1% [95% CI 6.6-7.6]; pandemic period, 6.5% [95% CI 5.7-7.3]; and beta(diff), - 0.19; 95% CI - 0.24 to - 0.13). The prevalence of CKD among younger adults and those with poor medical utilization significantly decreased during the early pandemic. This study was the first large-scale study to investigate the longitudinal prevalence of CKD from 2007 to 2020. Further research is needed to fully understand the exact causes for this decline and to identify healthcare policy strategies for preventing and managing CKD.
Filiaciones:
Yoon SY:
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, 23, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Park HW:
Department of Pediatrics, Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Kim HJ:
Department of Pediatrics, Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Kronbichler A:
Department of Medicine, University of Cambridge, Cambridge, UK
Koyanagi A:
Research and Development Unit, Parc Sanitari Sant Joan de Deu, CIBERSAM, ISCIII, Barcelona, Spain
Catalan Institution for Research and Advanced Studies (ICREA), Pg. Lluis Companys, Barcelona, Spain
Smith L:
Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
Shin JI:
Department of Pediatrics, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
Rhee SY:
Department of Pediatrics, Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Lee SW:
Department of Data Science, Sejong University College of Software Convergence, Seoul, South Korea
Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
Kim JS:
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, 23, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Hwang HS:
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, 23, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
Yon DK:
Department of Pediatrics, Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Jeong K:
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, 23, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Green Submitted, gold, Green Published, Green Accepted
|