Literature DB >> 27733251

Change in serum albumin concentration is inversely and independently associated with risk of incident metabolic syndrome.

Sang-Man Jin1, Yong Joo Hong1, Jae Hwan Jee2, Ji Cheol Bae3, Kyu Yeon Hur1, Moon-Kyu Lee1, Jae Hyeon Kim4.   

Abstract

BACKGROUND: Low serum albumin concentration is associated with a high risk of morbidity and mortality from cardiovascular diseases. However, high serum albumin level appears to be linked to metabolic syndrome (MetS). This study aimed to dissect the relative contributions of baseline and change in serum albumin concentration to the risk of incident metabolic syndrome.
METHODS: This was a 5-year (63,060 person-years) retrospective longitudinal study of 12,567 participants without metabolic syndrome, diabetes, or cardiovascular disease who were enrolled in a health screening program. The risk of developing MetS was analyzed according to baseline and change in serum albumin concentration.
RESULTS: A total of 2582 incident cases of metabolic syndrome developed. The hazard ratio (HR) for incident MetS increased with increasing quartile of baseline serum albumin level compared with those in the lowest quartile, in a fully adjusted model (p for trend = 0.013). The HRs [95% confidence intervals (CIs)] of incident MetS comparing the second, third, and fourth quartiles to the first quartile of change in serum albumin level were 0.478 (0.421-0.544), 0.353 (0.307-0.405), and 0.262 (0.224-0.305) in the fully adjusted model, respectively (p for trend <0.001). Percent change in serum albumin concentration inversely correlated with percent change in serum level of high-sensitivity C-reactive protein (r=-3.5444, p<0.001).
CONCLUSIONS: Although a higher baseline level of serum albumin was linked to increased risk of incident metabolic syndrome, increase in serum albumin concentration might be a protective factor against the risk of MetS.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Albumin; Change; Metabolic syndrome

Mesh:

Substances:

Year:  2016        PMID: 27733251     DOI: 10.1016/j.metabol.2016.08.006

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


  7 in total

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