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Metabolic syndrome as a risk factor for the development of kidney dysfunction: a meta-analysis of observational cohort studies.

Authors :
Valizadeh, Ali
Nikoohemmat, Mohammad
Ebadinejad, Amir
Soltani, Sepideh
Tape, Parya Mozafari Komesh
Sohrabi, Ali
Abiri, Behnaz
Valizadeh, Majid
Source :
Journal of Diabetes & Metabolic Disorders. 5/4/2024, Vol. 23 Issue 1, p215-227. 13p.
Publication Year :
2024

Abstract

Background: Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Metabolic syndrome (MetS) has been linked to CKD, but the evidence remains inconsistent. We conducted a systematic review and meta-analysis to investigate the association between MetS and kidney dysfunction. Method: We conducted a comprehensive search of databases until December 2022 for cohort studies assessing the association between MetS and incident kidney dysfunction. Meta-analysis was performed using fixed and random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Egger's and Begg's tests. Result: A total of 24 eligible studies, involving 6,573,911 participants, were included in this meta-analysis. MetS was significantly associated with an increased risk of developing CKD (OR, 1.42; 95% CI, 1.28, 1.57), albuminuria or proteinuria (OR, 1.43; 95% CI, 1.10, 1.86), and rapid decline in kidney function (OR, 1.25; 95% CI, 1.07, 1.47). Subgroup analyses showed a stronger association as the number of MetS components increased. However, gender-specific subgroups demonstrated varying associations. Conclusion: Metabolic syndrome is a significant risk factor for kidney dysfunction, requiring close renal monitoring. Lifestyle changes and targeted interventions may help reduce CKD burden. Further research is needed to understand the connection fully and assess intervention efficacy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22516581
Volume :
23
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Diabetes & Metabolic Disorders
Publication Type :
Academic Journal
Accession number :
178067052
Full Text :
https://doi.org/10.1007/s40200-023-01348-5