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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/12/4/1614 |
_version_ | 1797620182792798208 |
---|---|
author | Xu Li Qichen Liang Junfeng Zhong Liangying Gan Li Zuo |
author_facet | Xu Li Qichen Liang Junfeng Zhong Liangying Gan Li Zuo |
author_sort | Xu Li |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T08:37:25Z |
format | Article |
id | doaj.art-2ce804ec9260490688e94cc9938bfe0f |
institution | Directory Open Access Journal |
issn | 2077-0383 |
language | English |
last_indexed | 2024-03-11T08:37:25Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Clinical Medicine |
spelling | doaj.art-2ce804ec9260490688e94cc9938bfe0f2023-11-16T21:22:03ZengMDPI AGJournal of Clinical Medicine2077-03832023-02-01124161410.3390/jcm12041614The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-AnalysisXu Li0Qichen Liang1Junfeng Zhong2Liangying Gan3Li Zuo4Department of Nephrology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, ChinaDepartment of Nephrology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, ChinaDepartment of Nephrology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, ChinaDepartment of Nephrology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, ChinaDepartment of Nephrology, Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, ChinaBackground: 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.https://www.mdpi.com/2077-0383/12/4/1614chronic kidney diseaserenal functionmetabolic syndromemeta-analysis |
spellingShingle | Xu Li Qichen Liang Junfeng Zhong Liangying Gan Li Zuo The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis Journal of Clinical Medicine chronic kidney disease renal function metabolic syndrome 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 | chronic kidney disease renal function metabolic syndrome meta-analysis |
url | https://www.mdpi.com/2077-0383/12/4/1614 |
work_keys_str_mv | AT xuli theeffectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT qichenliang theeffectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT junfengzhong theeffectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT liangyinggan theeffectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT lizuo theeffectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT xuli effectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT qichenliang effectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT junfengzhong effectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT liangyinggan effectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis AT lizuo effectofmetabolicsyndromeanditsindividualcomponentsonrenalfunctionametaanalysis |