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Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study

BACKGROUND: The estimated glomerular filtration rate (eGFR), commonly estimated using the serum creatinine value, often fluctuates throughout the serial measurement. The clinical significance of GFR variation among the general population with normal renal function has not yet been demonstrated. Thus...

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Autores principales: Lee, Soojin, Park, Sehoon, Kim, Yaerim, Lee, Yeonhee, Kang, Min Woo, Cho, Semin, Kim, Yong Chul, Han, Seung Seok, Lee, Hajeong, Lee, Jung Pyo, Joo, Kwon Wook, Lim, Chun Soo, Kim, Yon Su, Han, Kyungdo, Kim, Dong Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746294/
https://www.ncbi.nlm.nih.gov/pubmed/33332407
http://dx.doi.org/10.1371/journal.pone.0244156
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author Lee, Soojin
Park, Sehoon
Kim, Yaerim
Lee, Yeonhee
Kang, Min Woo
Cho, Semin
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Han, Kyungdo
Kim, Dong Ki
author_facet Lee, Soojin
Park, Sehoon
Kim, Yaerim
Lee, Yeonhee
Kang, Min Woo
Cho, Semin
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Han, Kyungdo
Kim, Dong Ki
author_sort Lee, Soojin
collection PubMed
description BACKGROUND: The estimated glomerular filtration rate (eGFR), commonly estimated using the serum creatinine value, often fluctuates throughout the serial measurement. The clinical significance of GFR variation among the general population with normal renal function has not yet been demonstrated. Thus, we explored the impact of GFR variability on adverse clinical outcomes. METHODS: A nationwide retrospective cohort study using the Korean National Health Insurance System database was performed. National health screening examinees who underwent creatinine measurement ≥3 times between 2012 and 2016 were considered. Those with eGFR under 60 mL/min/m(2) were excluded. The fluctuation of eGFR was represented with variability independent of the mean (VIM) index; which was calculated by the standard deviation divided by the exponent of the regression coefficient of the mean. Then, the risks of myocardial infarction (MI), stroke and death were assessed according to the quartiles of the VIM RESULTS: Of total 3,538,500 participants, 0.29% of myocardial infarction (MI), 0.14% of stroke, 0.36% of deaths were observed during the median follow up of 3.27 years. Participants with the highest VIM index, which represents the highest eGFR variability, were significantly associated with an increased risk of MI (hazard ratio [HR]; 1.10, 95% confidence interval [95% CI]; 1.04–1.16), stroke (HR: 1.16; 95% CI 1.09–1.23), and death (HR: 1.18; 95% CI 1.12–1.24). The elevated risk of adverse events was consistent after the multivariate adjustment with potential confounding factors, except the risk of MI (HR 1.06; 95% 1.00–1.06). CONCLUSIONS: Increased eGFR variability exhibited an association with major clinical outcomes, indicating that monitoring eGFR variability might be a useful parameter for predicting the adverse outcomes.
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spelling pubmed-77462942020-12-31 Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study Lee, Soojin Park, Sehoon Kim, Yaerim Lee, Yeonhee Kang, Min Woo Cho, Semin Kim, Yong Chul Han, Seung Seok Lee, Hajeong Lee, Jung Pyo Joo, Kwon Wook Lim, Chun Soo Kim, Yon Su Han, Kyungdo Kim, Dong Ki PLoS One Research Article BACKGROUND: The estimated glomerular filtration rate (eGFR), commonly estimated using the serum creatinine value, often fluctuates throughout the serial measurement. The clinical significance of GFR variation among the general population with normal renal function has not yet been demonstrated. Thus, we explored the impact of GFR variability on adverse clinical outcomes. METHODS: A nationwide retrospective cohort study using the Korean National Health Insurance System database was performed. National health screening examinees who underwent creatinine measurement ≥3 times between 2012 and 2016 were considered. Those with eGFR under 60 mL/min/m(2) were excluded. The fluctuation of eGFR was represented with variability independent of the mean (VIM) index; which was calculated by the standard deviation divided by the exponent of the regression coefficient of the mean. Then, the risks of myocardial infarction (MI), stroke and death were assessed according to the quartiles of the VIM RESULTS: Of total 3,538,500 participants, 0.29% of myocardial infarction (MI), 0.14% of stroke, 0.36% of deaths were observed during the median follow up of 3.27 years. Participants with the highest VIM index, which represents the highest eGFR variability, were significantly associated with an increased risk of MI (hazard ratio [HR]; 1.10, 95% confidence interval [95% CI]; 1.04–1.16), stroke (HR: 1.16; 95% CI 1.09–1.23), and death (HR: 1.18; 95% CI 1.12–1.24). The elevated risk of adverse events was consistent after the multivariate adjustment with potential confounding factors, except the risk of MI (HR 1.06; 95% 1.00–1.06). CONCLUSIONS: Increased eGFR variability exhibited an association with major clinical outcomes, indicating that monitoring eGFR variability might be a useful parameter for predicting the adverse outcomes. Public Library of Science 2020-12-17 /pmc/articles/PMC7746294/ /pubmed/33332407 http://dx.doi.org/10.1371/journal.pone.0244156 Text en © 2020 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lee, Soojin
Park, Sehoon
Kim, Yaerim
Lee, Yeonhee
Kang, Min Woo
Cho, Semin
Kim, Yong Chul
Han, Seung Seok
Lee, Hajeong
Lee, Jung Pyo
Joo, Kwon Wook
Lim, Chun Soo
Kim, Yon Su
Han, Kyungdo
Kim, Dong Ki
Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title_full Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title_fullStr Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title_full_unstemmed Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title_short Impact of variability in estimated glomerular filtration rate on major clinical outcomes: A nationwide population-based study
title_sort impact of variability in estimated glomerular filtration rate on major clinical outcomes: a nationwide population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746294/
https://www.ncbi.nlm.nih.gov/pubmed/33332407
http://dx.doi.org/10.1371/journal.pone.0244156
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