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Adiponectin concentration data improve the estimation of atherosclerotic risk in normal and in overweight subjects.

Authors :
Bertolami A
de Lima-Júnior JC
Cintra RM
Carvalho LS
Gonzaga CC
Sulzbach ML
Petisco ACGP
Barbosa JEM
Faludi AA
Plutzky J
Bertolami MC
Sposito AC
Source :
Clinical endocrinology [Clin Endocrinol (Oxf)] 2018 Mar; Vol. 88 (3), pp. 388-396. Date of Electronic Publication: 2018 Jan 10.
Publication Year :
2018

Abstract

Background: The combinations of adipokines and body mass parameters to estimate carotid atherosclerotic disease have not been completely delineated.<br />Objective: To test the combinations of well-established, easily accessible body mass indices and circulating biomarkers to identify increased carotid intima-media thickness (cIMT) in a primary prevention setting.<br />Design and Patients: In a cross-sectional analysis of 339 asymptomatic individuals with no history of cardiovascular events, inflammatory and insulin sensitivity biomarkers as well as adipokine levels were measured and combined with body mass parameters to evaluate the best marker for increased cIMT.<br />Results: As isolated parameters, body mass index (BMI) and adiponectin best identified abnormal cIMT (P = .04). Adiponectin levels were also linked to the relationship between BMI and cIMT (β = 0.0371; P = .01). Twenty-nine individuals with increased cIMT were missed by BMI alone but detected by combining BMI and adiponectin measurements. When compared with BMI alone, the combination of adiponectin plus BMI improved the c-statistic (0.549-0.567) and the integrated discrimination improvement index (0.01725; P = .021). Segregation of individuals by the combined use of BMI + adiponectin is associated with significant differences in insulin sensitivity, glomerular filtration rate, systemic inflammatory activity, dyslipidaemia and cIMT.<br />Conclusions: Combining plasma adiponectin measurements and BMI improves estimation of cIMT as compared to anthropometric parameters.<br /> (© 2017 John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1365-2265
Volume :
88
Issue :
3
Database :
MEDLINE
Journal :
Clinical endocrinology
Publication Type :
Academic Journal
Accession number :
29280189
Full Text :
https://doi.org/10.1111/cen.13540