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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Bertolami, Adriana [1] ; de Lima-Junior, Jose C. [2] ; Cintra, Riobaldo M. [2] ; Carvalho, Luiz S. [2] ; Gonzaga, Carolina de C. [3] ; Sulzbach, Martha L. [1] ; Petisco, Ana C. G. P. [4] ; Barbosa, Jose E. M. [4] ; Faludi, Andre A. [1] ; Plutzky, Jorge [5] ; Bertolami, Marcelo C. [1] ; Sposito, Andrei C. [2]
Total Authors: 12
[1] Dante Pazzanese Inst Cardiol, Dept Dyslipidemia, Sao Paulo - Brazil
[2] Univ Estadual Campinas, UNICAMP, Sch Med, Lab Atherosclerosis & Vasc Biol, Campinas, SP - Brazil
[3] Dante Pazzanese Inst Cardiol, Dept Hypertens, Sao Paulo - Brazil
[4] Dante Pazzanese Inst Cardiol, Echocardiog Dept, Sao Paulo - Brazil
[5] Harvard Med Sch, Cardiovasc Div, Brigham & Womens Hosp, Boston, MA - USA
Total Affiliations: 5
Document type: Journal article
Source: CLINICAL ENDOCRINOLOGY; v. 88, n. 3, p. 388-396, MAR 2018.
Web of Science Citations: 2

BackgroundThe combinations of adipokines and body mass parameters to estimate carotid atherosclerotic disease have not been completely delineated. ObjectiveTo 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. Design and patientsIn 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. ResultsAs 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 (=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. ConclusionsCombining plasma adiponectin measurements and BMI improves estimation of cIMT as compared to anthropometric parameters. (AU)

FAPESP's process: 10/00201-8 - Relationship between inflammatory markers and insulin resistance with subclinical atherosclerosis in patients with impaired fasting glucose
Grantee:Marcelo Chiara Bertolami
Support type: Regular Research Grants