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Quantitative analysis of the magnitude and time delay of cyclic variation of
myocardial backscatter from asymptomatic type 2 diabetes mellitus subjects.
Gibson AA, Schaffer JE, Peterson LR, Bilhorn KR, Robert KM, Haider TA, Farmer
MS, Holland MR, Miller JG
Jean Schaffer on 3/31/2010
Ultrasound in medicine & biology
Volume : Pages
35 : 1458 - 1467
Early detection of diabetic patients at high risk for developing diabetic
cardiomyopathy may permit effective intervention. The goal of this work is to
determine whether measurements of the magnitude and time delay of cyclic
variation of myocardial backscatter, individually and in combination, can be
used to discriminate between subgroups of individuals including normal controls
and asymptomatic type 2 diabetes subjects. Two-dimensional parasternal long-axis
echocardiographic images of 104 type 2 diabetic patients and 44 normal
volunteers were acquired. Cyclic variation data were produced by measuring the
mean myocardial backscatter level within a region-of-interest in the posterior
wall, and characterized in terms of the magnitude and normalized time delay. The
cyclic variation parameters were analyzed using Bayes classification and a
nonparametric estimate of the area under the receiver operating characteristic
(ROC) curve to illustrate the relative effectiveness of using one or two
features to segregate subgroups of individuals. The subjects were grouped based
on glycated hemoglobin (HbA1c), the homeostasis model assessment for insulin
resistance (HOMA-IR) and the ratio of triglyceride to high-density lipoprotein
cholesterol (TG/HDL-C). Analyses comparing the cyclic variation measurements of
subjects in the highest and lowest quartiles of HbA1c, HOMA-IR and TG/HDL-C
showed substantial differences in the mean magnitude and normalized time delay
of cyclic variation. Results show that analyses of the cyclic variation of
backscatter in young asymptomatic type 2 diabetics may be an early indicator for
the development of diabetic cardiomyopathy.
Investigators with authorship
Washington University in St Louis
Neuropathy & Neurocognition
hemoglobin alpha, adult chain 1
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Please acknowledge all posters, manuscripts or scientific materials that were generated in part or whole using funds from the Diabetic Complications Consortium(DiaComp) using the following text:
Financial support for this work provided by the NIDDK Diabetic Complications Consortium (RRID:SCR_001415, www.diacomp.org), grants DK076169 and DK115255
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