Computational and Mathematical Methods in Medicine / 2013 / Article / Tab 1

Research Article

Novel Application of a Multiscale Entropy Index as a Sensitive Tool for Detecting Subtle Vascular Abnormalities in the Aged and Diabetic

Table 1

Comparison of demographic, anthropometric, hemodynamic and biochemical parameters, MEI, and DI between healthy young subjects (Group 1), healthy middle-aged or elderly subjects (Group 2), well-controlled diabetic subjects (Group 3) and poorly controlled diabetic subjects (Group 4).

ParameterGroup 1Group 2Group 3Group 4

Age (years) ** ++
Body height (cm) **
Body weight (kg) +
Waist circumference (cm) ++
BMI (kg/m2) +
SBP (mmHg) +
DBP (mm Hg)
HbA1c (%) ** ++ ε ε
HDL (mg/dL) * +
LDL (mg/dL) * ++ ε
Fasting blood sugar (mg/dL) ++ ε
Triglyceride (mg/dL) ε
Creatinine (mg/dL) *
Microalbumin (mg/dL)
MEILS * + ε
DI (%) * ε ε

Value are expressed as mean ± SD. BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; HbA1c: glycosylated hemoglobin; HDL: high density lipoprotein; LDL: low density lipoprotein; MEISS: Multiscale Entropy Index with Small Scale; MEILS: Multiscale Entropy Index with Large Scale; DI: Dilatation Index. : Group 1 versus Group 2, : Group 2 versus Group 3, : Group 3 versus Group 4. : Group 1 versus Group 2, : Group 2 versus Group 3, : Group 3 versus Group 4.

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