Literature DB >> 30641817

Metabolic syndrome and its components are related to a higher risk for albuminuria and proteinuria: Evidence from a meta-analysis on 10,603,067 subjects from 57 studies.

Elaheh Rashidbeygi1, Maryam Safabakhsh2, Saeideh Delshad Aghdam1, Shimels Hussien Mohammed3, Shahab Alizadeh4.   

Abstract

BACKGROUND & AIM: Previous studies have explored the relation of metabolic syndrome (MetS), its components and the risk of albuminuria/proteinuria but their results are inconsistent. Then, we aimed to conduct a meta-analysis in order to resolve these controversies.
METHOD: PubMed and Scopus were systematically searched from their inception to 1 march 2018. Risk estimates and their 95% confidence intervals were extracted and pooled using the random-effects approach. RESULT: A total of 57 studies, 44 studies on albuminuria and 13 studies on proteinuria, with a total sample size of 10,603,067 participants, were included in this meta-analysis. Overall, MetS was contributed to higher risks of proteinuria (OR = 2.08, 95%CI = 1.85-2.34) and albuminuria (OR = 1.92, 95%CI = 1.71-2.15), independent of diabetes status; although, this relationship was more noticeable in studies that used the WHO definition of MetS and in non-East Asian populations. Also, the relationship between MetS and proteinuria was sex independent, while, for albuminuria was significant only in men. MetS components such as obesity, impaired fasting glucose, elevated blood pressure and hypertriglyceridemia were associated with significant increases in proteinuria and albuminuria risk, while lower HDL-Cholesterol was only linked to greater risk of proteinuria. Moreover, the total impact of MetS on proteinuria was more remarkable than each component of the syndrome and an escalating dose-response association was found between the number of MetS components and albuminuria risk.
CONCLUSION: MetS and its components are potential risk factors for albuminuria and proteinuria.
Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Albuminuria; CKD; Meta-analysis; Metabolic syndrome; Proteinuria

Mesh:

Year:  2018        PMID: 30641817     DOI: 10.1016/j.dsx.2018.12.006

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  11 in total

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