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Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease

AIMS: To investigate associations of glomerular hyperfiltration with other metabolic factors in a nationally representative dataset. METHODS: We analyzed cross-sectional data from 15,918 subjects with estimated glomerular filtration rate (eGFR) >60 ml/min/1.73 m(2) and urine albumin creation rati...

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Autores principales: Hong, Sangmo, Choi, Yun Mi, Ihm, Sung-Hee, Kim, Dooman, Choi, Moon-Gi, Yu, Jae Myung, Hong, Eun-Gyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283579/
https://www.ncbi.nlm.nih.gov/pubmed/30521539
http://dx.doi.org/10.1371/journal.pone.0207843
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author Hong, Sangmo
Choi, Yun Mi
Ihm, Sung-Hee
Kim, Dooman
Choi, Moon-Gi
Yu, Jae Myung
Hong, Eun-Gyoung
author_facet Hong, Sangmo
Choi, Yun Mi
Ihm, Sung-Hee
Kim, Dooman
Choi, Moon-Gi
Yu, Jae Myung
Hong, Eun-Gyoung
author_sort Hong, Sangmo
collection PubMed
description AIMS: To investigate associations of glomerular hyperfiltration with other metabolic factors in a nationally representative dataset. METHODS: We analyzed cross-sectional data from 15,918 subjects with estimated glomerular filtration rate (eGFR) >60 ml/min/1.73 m(2) and urine albumin creation ratio (ACR) <30 mg/g, who participated in the 5th and 6th Korea National Health and Nutrition Examination Surveys. Hyperfiltration was defined as eGFR (CKD-EPI equation) exceeding the age- and sex-specific 95th percentile for healthy control subjects. RESULTS: Prevalence of hyperfiltration was 5.2% and that among normal, prediabetic, and diabetic subjects was 4.9%, 5.6%, and 7.3%, respectively, after adjusting for age, sex, and body weight (p for trend = 0.008). In a multiple logistic regression analysis, hyperfiltration was associated with a body mass index ≥30 kg/m(2) [odds ratio (OR) = 3.461, p<0.001], waist circumference 85 cm (men) or 80 cm (women) (OR = 1.425, p = 0.015), systolic blood pressure 120–129 mmHg (OR = 1.644, p = 0.022), fasting plasma glucose 140 mg/dL (OR = 1.695, p = 0.033) and t serum triglyceride level 500 mg/dL (OR = 2.988, p = 0.001), and was independently associated with the ACR (B = 0.053, p<0.001). CONCLUSIONS: In a general Korean population, both hyperfiltration and ACR were associated with similar metabolic parameters, and hyperfiltration correlated independently with a high ACR. Longitudinal studies are needed to further explore risks of hyperfiltration and microalbuminuria.
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spelling pubmed-62835792018-12-20 Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease Hong, Sangmo Choi, Yun Mi Ihm, Sung-Hee Kim, Dooman Choi, Moon-Gi Yu, Jae Myung Hong, Eun-Gyoung PLoS One Research Article AIMS: To investigate associations of glomerular hyperfiltration with other metabolic factors in a nationally representative dataset. METHODS: We analyzed cross-sectional data from 15,918 subjects with estimated glomerular filtration rate (eGFR) >60 ml/min/1.73 m(2) and urine albumin creation ratio (ACR) <30 mg/g, who participated in the 5th and 6th Korea National Health and Nutrition Examination Surveys. Hyperfiltration was defined as eGFR (CKD-EPI equation) exceeding the age- and sex-specific 95th percentile for healthy control subjects. RESULTS: Prevalence of hyperfiltration was 5.2% and that among normal, prediabetic, and diabetic subjects was 4.9%, 5.6%, and 7.3%, respectively, after adjusting for age, sex, and body weight (p for trend = 0.008). In a multiple logistic regression analysis, hyperfiltration was associated with a body mass index ≥30 kg/m(2) [odds ratio (OR) = 3.461, p<0.001], waist circumference 85 cm (men) or 80 cm (women) (OR = 1.425, p = 0.015), systolic blood pressure 120–129 mmHg (OR = 1.644, p = 0.022), fasting plasma glucose 140 mg/dL (OR = 1.695, p = 0.033) and t serum triglyceride level 500 mg/dL (OR = 2.988, p = 0.001), and was independently associated with the ACR (B = 0.053, p<0.001). CONCLUSIONS: In a general Korean population, both hyperfiltration and ACR were associated with similar metabolic parameters, and hyperfiltration correlated independently with a high ACR. Longitudinal studies are needed to further explore risks of hyperfiltration and microalbuminuria. Public Library of Science 2018-12-06 /pmc/articles/PMC6283579/ /pubmed/30521539 http://dx.doi.org/10.1371/journal.pone.0207843 Text en © 2018 Hong 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
Hong, Sangmo
Choi, Yun Mi
Ihm, Sung-Hee
Kim, Dooman
Choi, Moon-Gi
Yu, Jae Myung
Hong, Eun-Gyoung
Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title_full Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title_fullStr Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title_full_unstemmed Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title_short Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease
title_sort association between metabolic parameters and glomerular hyperfiltration in a representative korean population without chronic kidney disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283579/
https://www.ncbi.nlm.nih.gov/pubmed/30521539
http://dx.doi.org/10.1371/journal.pone.0207843
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