Literature DB >> 25155006

Clinical analysis of the relationship between cystatin C and metabolic syndrome in the elderly.

Ping Liu1, Shujian Sui2, Dongling Xu2, Xiaowei Xing2, Caixia Liu3.   

Abstract

OBJECTIVE: Studies have shown that both cystatin C and metabolic syndrome (MetS) are associated with inflammation. We set out to investigate the correlation between serum cystatin C levels and MetS in the elderly.
METHODS: This prospective study was conducted in 380 elderly individuals, including 135 patients with MetS, 142 patients with metabolic disturbance (MetD), and 103 healthy elderly individuals (control group). Waist-hip ratio, waist circumference, waist-height ratio, body mass index (BMI), fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), high-density lipoprotein (HDL-C), systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure and cystatin C were measured and their mutual relations were analyzed.
RESULTS: The higher the MetS scores, the higher the serum cystatin C concentration in these patients. Serum cystatin C concentration was closely related to waist-hip ratio, waist circumference, waist-height ratio, BMI, TG, FPG, and blood pressure, not related to LDL-C levels, and negatively correlated with HDL-C levels. Logistic regression analysis indicated that cystatin C, waist-height ratio, waist circumference, FPG, TG, SBP and pulse pressure were significantly associated with MetS (OR between cystatin C and MetS 2.164, 95% CI 1.136-8.259).
CONCLUSION: Cystatin C was significantly associated with MetS in the elderly. As MetS scores rose, serum cystatin C levels increased.
Copyright © 2013 Sociedade Portuguesa de Cardiologia. Published by Elsevier España. All rights reserved.

Entities:  

Keywords:  Cistatina C; Cystatin C; Elderly; Idosos; Inflamação; Inflammation; Metabolic syndrome; Obesidade; Obesity; Síndrome metabólica

Mesh:

Substances:

Year:  2014        PMID: 25155006     DOI: 10.1016/j.repc.2014.01.019

Source DB:  PubMed          Journal:  Rev Port Cardiol        ISSN: 0870-2551            Impact factor:   1.374


  5 in total

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4.  Diagnostic Power of Circulatory Metabolic Biomarkers as Metabolic Syndrome Risk Predictors in Community-Dwelling Older Adults in Northwest of England (A Feasibility Study).

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  5 in total

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