Literature DB >> 28081778

An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study.

Ji Hye Huh1, Dhananjay Yadav2, Jae Seok Kim3, Jung-Woo Son4, Eunhee Choi5, Seong Hwan Kim6, Chol Shin6, Ki-Chul Sung7, Jang Young Kim8.   

Abstract

OBJECTIVE: Although metabolic abnormalities have been considered important risk factors of chronic kidney disease (CKD), the impact of metabolic syndrome (MS) and insulin resistance on renal function deterioration is poorly understood. We investigated the association between MS and incident CKD/rapid decline of estimated glomerular filtration rate (eGFR) in a 10-year population-based longitudinal study.
MATERIAL AND METHODS: Among 10,030 subjects, 6065 without history of CKD or cardiovascular disease at baseline were analyzed using data generated from the Ansan-Ansung cohort of the Korean Genome Epidemiology Study. Participants were categorized into two groups based on the presence of MS at baseline. Incident CKD was defined as eGFR <60ml/min per 1.73m2, and rapid decline of eGFR was defined as >3ml/min per 1.73m2/yr over 10years.
RESULTS: During the 10-year follow-up period, CKD developed in 893 subjects (14.7%). Compared to subjects without MS, the odds ratio (OR; 95% confidence interval, CI) of incident CKD in those with MS was 1.38 (1.16-1.64) after controlling for confounding factors. The risk of rapid decline of eGFR was also higher in subjects with MS than those without MS (OR: 1.20, 95% CI: 1.04-1.39). In addition, we found that higher levels of homeostatic model assessment of insulin resistance (HOMA-IR) were associated with incident CKD and rapid decline of eGFR independently of traditional CKD risk factors (OR: 1.24, 95% CI: 1.04-1.47).
CONCLUSION: Both MS and insulin resistance were independent risk factors of incident CKD and rapid decline of eGFR in healthy Korean population.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic kidney disease; Insulin resistance; Metabolic syndrome; Rapid decline of GFR

Mesh:

Year:  2016        PMID: 28081778     DOI: 10.1016/j.metabol.2016.11.003

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  28 in total

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