Literature DB >> 33469988

Association between metabolic syndrome and incident chronic kidney disease among Chinese: A nation-wide cohort study and updated meta-analysis.

Nianwei Wu1, Yao Qin2, Sen Chen1, Chuan Yu1, Ying Xu3, Jian Zhao4,5, Xue Yang2, Ningxiu Li1, Xiong-Fei Pan6,7,8.   

Abstract

AIMS: We prospectively examined the relationship between metabolic syndrome (MetS) and incident chronic kidney disease (CKD) among middle-aged and elderly Chinese, and conducted a systematic review and meta-analysis of all cohort studies on this topic.
MATERIALS AND METHODS: Our research data were derived from the China Health and Retirement Longitudinal Study. Participants (n=5752, age ≥45 years) without CKD (defined as estimated glomerular filtration rate <60 ml/min/1.73m2 ) at baseline were followed up for 4 years. We applied logistic regressions to examine the association of MetS with incident CKD. In addition, we pooled our effect estimates and those from previous cohort studies in the meta-analysis.
RESULTS: In a 4-years follow-up, 61 (4.27%) developed CKD in participants with MetS versus 102 (2.36%) in participants without MetS. After adjustment for potential confounders, odds ratio for incident CKD was 1.82 [95% confidence interval (95% CI): 1.19-2.78] comparing participants with MetS with those without MetS. There was a linear positive association between the number of MetS components and incident CKD (p for trend <0.001). In the updated meta-analysis of 25 studies among 350,655 participants with 29,368 incident cases of CKD, the pooled relative risk of developing CKD in participants with MetS was 1.34 (95% CI: 1.28-1.39), compared with those without MetS.
CONCLUSIONS: Individuals with MetS had higher risk of incident CKD in middle-aged and elderly Chinese adults, which was supported by a comprehensive review of cohort studies from multiple populations. It may be advisable to routinely monitor renal functions among individuals with MetS.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  Chinese; chronic kidney disease; cohort study; meta-analysis; metabolic syndrome

Mesh:

Year:  2021        PMID: 33469988     DOI: 10.1002/dmrr.3437

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  3 in total

Review 1.  Metabolic Syndrome-Related Kidney Injury: A Review and Update.

Authors:  Lirong Lin; Wei Tan; Xianfeng Pan; En Tian; Zhifeng Wu; Jurong Yang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-23       Impact factor: 6.055

Review 2.  Susceptibility to Metabolic Diseases in COVID-19: To be or Not to be an Issue.

Authors:  Maryam Kaviani; Somayeh Keshtkar; Saeede Soleimanian; Fatemeh Sabet Sarvestani; Negar Azarpira; Sara Pakbaz
Journal:  Front Mol Biosci       Date:  2022-02-03

3.  Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China.

Authors:  Hangtian Li; Qian Wang; Jianghua Ke; Wenwen Lin; Yayong Luo; Jin Yao; Weiguang Zhang; Li Zhang; Shuwei Duan; Zheyi Dong; Xiangmei Chen
Journal:  Nutrients       Date:  2022-03-23       Impact factor: 5.717

  3 in total

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