A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

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

Background: The combinations of adipokines and body mass parameters to estimate carotid atherosclerotic disease have not been completely delineated.

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.

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.

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.

Conclusions: Combining plasma adiponectin measurements and BMI improves estimation of cIMT as compared to anthropometric parameters.

Download full-text PDF

Source
http://dx.doi.org/10.1111/cen.13540DOI Listing

Publication Analysis

Top Keywords

body mass
16
mass parameters
8
insulin sensitivity
8
bmi adiponectin
8
adiponectin measurements
8
bmi
7
adiponectin
6
cimt
5
adiponectin concentration
4
concentration data
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!