DocumentCode :
140521
Title :
Adaptation of five indirect insulin sensitivity evaluation methods to three populations: Metabolic syndrome, athletic and normal subjects
Author :
Altuve, Miguel ; Severeyn, Erika ; Wong, Simon
Author_Institution :
Grupo de Bioingenieria y Biofisica Aplic., Univ. Simon Bolivar, Miranda, Venezuela
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4555
Lastpage :
4558
Abstract :
Insulin sensitivity is determined using direct or indirect methods. Indirect methods are less invasive than direct methods, but have lower accuracy. The accuracy is set through the Spearman´s rank correlation coefficient between the indirect method and a direct method. Since the set of parameters of each indirect method has been set empirically, different values of insulin sensitivity have been reported when they are applied on different populations. In this paper, five indirect methods (Avignon, HOMA-IR, QUICKI, Raynaud, and Matsuda) used to determine insulin sensitivity were adapted to three different populations: athletics, metabolic syndrome and normal subjects. The parameters of each method were varied in a range of values until the optimal value that gives the best correlation coefficient with a gold standard was obtained. Results show that the adaptation procedure led to an improved correlation coefficient. Additionally, the method of Matsuda was the most accurate, followed by the method of Avignon. We have confirmed that each indirect method needs a different set of parameters when it is applied to a specific population in order to obtain an accurate value of insulin sensitivity.
Keywords :
biochemistry; blood; patient diagnosis; sugar; Avignon; HOMA-IR; Matsuda; QUICKI; Raynaud; Spearman´s rank correlation coefficient; adaptation procedure; athletic subjects; gold standard; indirect insulin sensitivity evaluation method; indirect methods; metabolic syndrome; normal subjects; optimal value; Correlation; Diabetes; Insulin; Sensitivity; Sociology; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944637
Filename :
6944637
Link To Document :
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