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Page 64
allied
academies
September 20-22, 2017 | Toronto, Canada
10
TH
AMERICAN PEDIATRICS HEALTHCARE &
PEDIATRIC INFECTIOUS DISEASES CONGRESS
Pediatric Healthcare & Pediatric Infections 2017
Introduction:
Visceral Adiposity Index (VAI) is a mathematical
model associated with cardiometabolic diseases in adults.
Previous studies in pediatric population have failed to
demonstrate any association of VAI with metabolic and
cardiovascular risk. In a previous paper we adapted VAI
components to pediatric population (VAI
P
); the aim of the
present study was to analyze the correlation of insulin
resistance indexes and surrogate markers of cardiovascular
abnormalities in order to validate VAI
P
.
Methods:
A prospective analysis was performed. A hundred
children (normal weight, overweight and obese) between
8 and 12 years of age were recruited. Correlation analysis
between risk variables (intima media thickness (IMT),
flow mediated dilatation (FMD), HOMA-IR and Matsuda-
ISI indexes, Visceral Fat Adiposity (VFA), Body Fat, and
preperitoneal fat thickness (PP)) and VAI
P
was performed.
Pearson and Spearman correlations were done. Cut points
were designed using ROC curves and Odds ratios calculated
by logistic regression analysis.
Results:
Significant strong correlation was found between
VAI
P
and HOMA-IR (r=0.537, p=0.001), Matsuda (r=-0.607,
p=0.001), IMT (r= 0.705, p=0.001), FMD (r = -0.464, p= 0.001),
VFA (r= 0.616, p= 0.001), Body Fat (r= 0.735, p= 0.001), and
PP (r= 0.696, p= 0.001). For children with obesity, the best
cut off point of VAI
P
to predict insulin resistance was 4.88.
All the children with obesity had abnormal values regarding
IMT.
Conclusions:
Adjusted VAI
P
has a strong correlation with
adiposity and correlates with cardiovascular and metabolic
distress. It could be a helpful tool for identifying children at
cardiometabolic risks, and for assessment of these children
throughout intervention strategies.
e:
majogarces7@gmail.comNew data regarding the validation of the Pediatric Visceral Adipose Tissue Index (VAIP)
Maria Jose Garces Hernandez
Universidad Nacional Autónoma de México, Mexico