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Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan

BACKGROUND: Metabolic complications are associated with clinical outcomes in patients with chronic kidney disease (CKD). These outcomes differ among patients according to the different stages of disease. The prevalence and association of type and number of metabolic complications with renal progress...

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Autores principales: Wu, I-Wen, Hsu, Kuang-Hung, Lee, Chin-Chan, Sun, Chiao-Yin, Hsu, Heng-Jung, Hung, Ming-Jui, Wu, Mai-Szu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643890/
https://www.ncbi.nlm.nih.gov/pubmed/23607513
http://dx.doi.org/10.1186/1471-2369-14-92
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author Wu, I-Wen
Hsu, Kuang-Hung
Lee, Chin-Chan
Sun, Chiao-Yin
Hsu, Heng-Jung
Hung, Ming-Jui
Wu, Mai-Szu
author_facet Wu, I-Wen
Hsu, Kuang-Hung
Lee, Chin-Chan
Sun, Chiao-Yin
Hsu, Heng-Jung
Hung, Ming-Jui
Wu, Mai-Szu
author_sort Wu, I-Wen
collection PubMed
description BACKGROUND: Metabolic complications are associated with clinical outcomes in patients with chronic kidney disease (CKD). These outcomes differ among patients according to the different stages of disease. The prevalence and association of type and number of metabolic complications with renal progression and death in patients having different eGFR levels has high clinical value, but this fact has been rarely evaluated in prospective studies. METHODS: We prospectively followed a cohort of 1157 CKD patients from 2006 to death or until 2010, and evaluated the prevalence of CKD-related complications and their association with renal progression (defined as a decline in eGFR by > 50% from baseline, or end-stage renal disease requiring dialysis) and death in patients with eGFRs above and below 45 mL/min/1.73 m(2) using Cox-proportional hazard models. RESULTS: The estimated rate (per 100 patient-years) of renal progression and death were 11.9 and 4.9, respectively. The eGFR thresholds determined by ROC analysis with a sensitivity of 90% for any metabolic complication were 60.8 mL/min/1.73 m(2) and 74.3 mL/min/1.73 m(2) using the MDRD and CKD Epidemiology Collaboration equations, respectively. CKD-related complications associated with renal progression in patients having eGFR < 45 mL/min/1.73 m(2) were hyperphosphatemia, anemia, microinflammation and hypoalbuminemia. Those CKD-related complications associated with death were hypoalbuminemia and hyperuricemia. Hypoalbuminemia predicted renal progression, and, hypoalbuminemia and microinflammation predicted death in patients with eGFR ≥ 45 mL/min/1.73 m(2). The number of complications (≥ 3) independently predicted both endpoints in patients with eGFR < 45 mL/min/1.73 m(2). CONCLUSIONS: Hypoalbuminemia was a unique and strong predictor of renal progression and all-cause mortality in CKD patients, independent of their demographic characteristics, traditional risk factors, renal function severity, the presence of cardiovascular disease and other metabolic abnormalities. Most other metabolic complications and the number of complications (≥3) were associated with the clinical outcomes of patients with eGFR < 45 mL/min/1.73 m(2) rather than in those with higher eGFRs. The findings from the present study offer a novel insight into the association between metabolic complications and patient outcomes and may help to refine risk stratification according to disease stage.
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spelling pubmed-36438902013-05-04 Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan Wu, I-Wen Hsu, Kuang-Hung Lee, Chin-Chan Sun, Chiao-Yin Hsu, Heng-Jung Hung, Ming-Jui Wu, Mai-Szu BMC Nephrol Research Article BACKGROUND: Metabolic complications are associated with clinical outcomes in patients with chronic kidney disease (CKD). These outcomes differ among patients according to the different stages of disease. The prevalence and association of type and number of metabolic complications with renal progression and death in patients having different eGFR levels has high clinical value, but this fact has been rarely evaluated in prospective studies. METHODS: We prospectively followed a cohort of 1157 CKD patients from 2006 to death or until 2010, and evaluated the prevalence of CKD-related complications and their association with renal progression (defined as a decline in eGFR by > 50% from baseline, or end-stage renal disease requiring dialysis) and death in patients with eGFRs above and below 45 mL/min/1.73 m(2) using Cox-proportional hazard models. RESULTS: The estimated rate (per 100 patient-years) of renal progression and death were 11.9 and 4.9, respectively. The eGFR thresholds determined by ROC analysis with a sensitivity of 90% for any metabolic complication were 60.8 mL/min/1.73 m(2) and 74.3 mL/min/1.73 m(2) using the MDRD and CKD Epidemiology Collaboration equations, respectively. CKD-related complications associated with renal progression in patients having eGFR < 45 mL/min/1.73 m(2) were hyperphosphatemia, anemia, microinflammation and hypoalbuminemia. Those CKD-related complications associated with death were hypoalbuminemia and hyperuricemia. Hypoalbuminemia predicted renal progression, and, hypoalbuminemia and microinflammation predicted death in patients with eGFR ≥ 45 mL/min/1.73 m(2). The number of complications (≥ 3) independently predicted both endpoints in patients with eGFR < 45 mL/min/1.73 m(2). CONCLUSIONS: Hypoalbuminemia was a unique and strong predictor of renal progression and all-cause mortality in CKD patients, independent of their demographic characteristics, traditional risk factors, renal function severity, the presence of cardiovascular disease and other metabolic abnormalities. Most other metabolic complications and the number of complications (≥3) were associated with the clinical outcomes of patients with eGFR < 45 mL/min/1.73 m(2) rather than in those with higher eGFRs. The findings from the present study offer a novel insight into the association between metabolic complications and patient outcomes and may help to refine risk stratification according to disease stage. BioMed Central 2013-04-22 /pmc/articles/PMC3643890/ /pubmed/23607513 http://dx.doi.org/10.1186/1471-2369-14-92 Text en Copyright © 2013 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wu, I-Wen
Hsu, Kuang-Hung
Lee, Chin-Chan
Sun, Chiao-Yin
Hsu, Heng-Jung
Hung, Ming-Jui
Wu, Mai-Szu
Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title_full Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title_fullStr Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title_full_unstemmed Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title_short Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan
title_sort re-evaluating the predictive roles of metabolic complications and clinical outcome according to egfr levels — a four-years prospective cohort study in taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643890/
https://www.ncbi.nlm.nih.gov/pubmed/23607513
http://dx.doi.org/10.1186/1471-2369-14-92
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