Methodology for the study of metabolic syndrome by heart rate variability and insulin sensitivity

Abstract

This work presents a methodology for studying the Heart Rate Variability (HRV) and Insulin Sensitivity (IS) during the Oral Glucose Tolerance Test (OGTT) in subjects with Metabolic Syndrome (MS). For this, it was designed a clinical protocol that includes the acquisition of ECG signals during OGTT for 15 subjects with MS and 10 subjects for control group. HRV parameters were obtained from electrocardiographic recordings. Significant differences in RR values were found between groups in the 30 minutes stage of the OGTT. In control subjects the RR values were higher compared with subjects with MS. The values of normalized low frequencies between baseline stages and the stage at 30 minutes in subjects with MS showed a significant increase in sympathetic tone during the OGTT, that was not observed in group control. The following methods were implemented for quantification of IS: integral equation, insulin sensitivity index, insulin sensitivity, metabolic, HOMA and QUICKI. We found significantly lower values of IS in the group with MS. It was concluded that there are changes in the HRV and the IS in the subjects with MS, which is a pre-diabetic disease. These findings suggest that HRV and IS can be used for diagnosis of MS and prevention of Diabetes Mellitus.Keywords Diabetes mellitus, Metabolic syndrome, Heart rate variability, Insulin sensitivity, Oral glucose tolerance test. Metodologia para o estudo da síndrome metabólica partindo da variabilidade da frequência cardíaca assim como da sensibilidade à insulina Resumo Este trabalho apresenta uma metodologia para o estudo da Variabilidade da Frequência Cardíaca (VFC) e Sensibilidade à Insulina (SI) durante o Teste de Oral de Tolerância à Glicose (TOTG) em indivíduos com Síndrome Metabólica (SM

Remote health monitoring system for detecting cardiac disorders

“…We have used the PTB diagnostic database [16] and the SM–RR–QRS database from metabolic syndrome study [17] to build a proof of concept of a server‐based CDSS for cardiac care. PTB database consists of 549 ECG recordings from 290 subjects.…”

Adaptation of five indirect insulin sensitivity evaluation methods to three populations: Metabolic syndrome, athletic and normal subjects

“…However, in this work we think that indirect methods can be adapted to any population by changing the values of the set of parameters, in order to obtain better values of insulin sensitivity. In this paper, five methods are adapted: Avignon (1), HOMA-IR (2), QUICKI (3), Raynaud (4), and Matsuda (5). In these equations (1)(2)(3)(4)(5): VD is the volume distribution of glucose (150 mL/kg of body weight), G 0 is the fasting plasma glucose level (mg/dL), I 0 is the fasting insulin level (µUI/mL), G 120 is the plasma glucose at 2-h OGTT (mg/dL), and I 120 is the plasma insulin at 2-h OGTT (µUI/mL), G m is the mean glucose during OGTT, I m is the mean insulin during OGTT, and α, β, γ and θ are the set of parameters to be optimized.…”

“…Low values of insulin sensitivity have been related to inflammation, obesity, and cardiovascular risk [1], [2], [3]. Moreover, diabetes mellitus type II and metabolic syndrome has been associated with low values of insulin sensitivity [4], [5]. The early diagnosis and treatment of low insulin sensitivity are crucial to prevent diabetes.…”

Nonlinear Heart Rate Variability Measures During the Oral Glucose Tolerance Test

“…. , 120 min) [6,7]. Five of the control subjects were removed from the dataset due to the presence of at least, one of the metabolic syndrome factor.…”