2014
DOI: 10.1186/s40200-014-0118-x
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A cross-sectional assessment to detect type 2 diabetes with endothelial and autonomic nervous system markers using a novel system

Abstract: BackgroundType 2 diabetes mellitus is frequently unrecognized until complications appear. Diabetic autonomic neuropathy is one of the early complications of type 2 diabetes mellitus, resulting in autonomic nervous system (ANS) dysfunction. The purpose of this study was to determine the validity of ANS function indicators to screen for type 2 diabetes mellitus, as measured by the TM-Oxi and SudoPath system.MethodsAll enrolled participants completed a basic sociodemographic and medical history questionnaire incl… Show more

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Cited by 15 publications
(19 citation statements)
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“…Recently, a study comparing diabetic and healthy controls showed that the CMRS calculated by this software is significantly correlated with glucose and insulin measured during an oral glucose tolerance test and was significantly higher in participants with diabetes. Also, specificity (92%) and sensitivity (83%) were high for the CMRS in differentiating patients with diabetes from healthy control [21].…”
Section: Assessmentsmentioning
confidence: 98%
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“…Recently, a study comparing diabetic and healthy controls showed that the CMRS calculated by this software is significantly correlated with glucose and insulin measured during an oral glucose tolerance test and was significantly higher in participants with diabetes. Also, specificity (92%) and sensitivity (83%) were high for the CMRS in differentiating patients with diabetes from healthy control [21].…”
Section: Assessmentsmentioning
confidence: 98%
“…Steps of the procedure are described elsewhere and details of the devices are discussed in previous publications and the manufacturer's website (http://www.ldteck.com) [20] [21]. The Electro-Sensor Body Composition (ES-BC) device uses a single-frequency bioelectrical impedance analyzer to compute percent fat mass (%FM) using accepted peer-reviewed published algorithms tailored to the general and obese population based on gender, height, weight, age, and activity level [20] [22].…”
Section: Assessmentsmentioning
confidence: 99%
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