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The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis
Background: Observational studies have reported inconsistent findings in the relationship between metabolic syndrome (MetS), its components, and loss of renal function, mainly including eGFR decline, new-onset CKD, and ESRD. This meta-analysis was performed to investigate their potential association...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962508/ https://www.ncbi.nlm.nih.gov/pubmed/36836149 http://dx.doi.org/10.3390/jcm12041614 |
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author | Li, Xu Liang, Qichen Zhong, Junfeng Gan, Liangying Zuo, Li |
author_facet | Li, Xu Liang, Qichen Zhong, Junfeng Gan, Liangying Zuo, Li |
author_sort | Li, Xu |
collection | PubMed |
description | Background: Observational studies have reported inconsistent findings in the relationship between metabolic syndrome (MetS), its components, and loss of renal function, mainly including eGFR decline, new-onset CKD, and ESRD. This meta-analysis was performed to investigate their potential associations. Methods: PubMed and EMBASE were systematically searched from their inception to 21 July 2022. Observational cohort studies in English assessing the risk of renal dysfunction in individuals with MetS were identified. Risk estimates and their 95% confidence intervals (CIs) were extracted and pooled using the random-effects approach. Results: A total of 32 studies with 413,621 participants were included in the meta-analysis. MetS contributed to higher risks of renal dysfunction (RR = 1.50, 95% CI = 1.39–1.61) and, specifically, rapid decline in eGFR (RR 1.31, 95% CI 1.13–1.51), new-onset CKD (RR 1.47, 95% CI 1.37–1.58), as well as ESRD (RR 1.55, 95% CI 1.08–2.22). Moreover, all individual components of MetS were significantly associated with renal dysfunction, while elevated BP conveyed the highest risk (RR = 1.37, 95% CI = 1.29–1.46), impaired fasting glucose with the lowest and diabetic-dependent risk (RR = 1.20, 95% CI = 1.09–1.33). Conclusions: Individuals with MetS and its components are at higher risk of renal dysfunction. |
format | Online Article Text |
id | pubmed-9962508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99625082023-02-26 The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis Li, Xu Liang, Qichen Zhong, Junfeng Gan, Liangying Zuo, Li J Clin Med Systematic Review Background: Observational studies have reported inconsistent findings in the relationship between metabolic syndrome (MetS), its components, and loss of renal function, mainly including eGFR decline, new-onset CKD, and ESRD. This meta-analysis was performed to investigate their potential associations. Methods: PubMed and EMBASE were systematically searched from their inception to 21 July 2022. Observational cohort studies in English assessing the risk of renal dysfunction in individuals with MetS were identified. Risk estimates and their 95% confidence intervals (CIs) were extracted and pooled using the random-effects approach. Results: A total of 32 studies with 413,621 participants were included in the meta-analysis. MetS contributed to higher risks of renal dysfunction (RR = 1.50, 95% CI = 1.39–1.61) and, specifically, rapid decline in eGFR (RR 1.31, 95% CI 1.13–1.51), new-onset CKD (RR 1.47, 95% CI 1.37–1.58), as well as ESRD (RR 1.55, 95% CI 1.08–2.22). Moreover, all individual components of MetS were significantly associated with renal dysfunction, while elevated BP conveyed the highest risk (RR = 1.37, 95% CI = 1.29–1.46), impaired fasting glucose with the lowest and diabetic-dependent risk (RR = 1.20, 95% CI = 1.09–1.33). Conclusions: Individuals with MetS and its components are at higher risk of renal dysfunction. MDPI 2023-02-17 /pmc/articles/PMC9962508/ /pubmed/36836149 http://dx.doi.org/10.3390/jcm12041614 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Li, Xu Liang, Qichen Zhong, Junfeng Gan, Liangying Zuo, Li The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title | The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title_full | The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title_fullStr | The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title_full_unstemmed | The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title_short | The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis |
title_sort | effect of metabolic syndrome and its individual components on renal function: a meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962508/ https://www.ncbi.nlm.nih.gov/pubmed/36836149 http://dx.doi.org/10.3390/jcm12041614 |
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