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Monitoring Obesity and Hyperinsulinemia in HIV Positive Children A Practical Approach

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Title: Monitoring Obesity and Hyperinsulinemia in HIV Positive Children A Practical Approach


1
Monitoring Obesity and Hyperinsulinemia in HIV
Positive Children A Practical Approach
  • Peggy R. Borum, Ph.D.
  • Professor of Human Nutrition
  • University of Florida
  • Gainesville, Florida

2
Disclosure of Financial Relationships
  • This speaker has no significant financial
    relationships with commercial entities to
    disclose.

This slide set has been peer-reviewed to ensure
that there are no conflicts of interest
represented in the presentation.
3
Metabolic Syndrome in Adults
4
Metabolic Syndrome in Pediatrics
5
HAMD
  • Controversy concerning the term Metabolic
    Syndrome
  • Different groups have different definitions for
    metabolic Syndrome in adults
  • Metabolic Syndrome in pediatric population is
    even less well defined
  • We use the term HIV Associated Metabolic
    Dysfunction (HAMD)

6
HIV Associated Metabolic Syndrome (HAMD)
7
Practical Way to Monitor?
8
Hypertension
9
Dyslipidemia
10
Growth
11
Obesity
12
Insulin Resistance
13
Practical Way to Monitor?
Hypertension
Dyslipidemia
Growth
Obesity
Insulin Resistance
14
Obesity
15
Visceral Adiposity
  • Visceral adiposity linked to dyslipidemia,
    insulin resistance, other CVD risk factors.
  • Current measures of visceral adiposity
    MRI-expensive, BMI-not as accurate.
  • Waist circumference considered one of the best
    anthropometric predictors of visceral obesity.

16
Waist Circumference Z-score
  • Fernandez et al. nationally representative
    sample of AA, EA, MA children and adolescents
    percentiles
  • Z score
  • X( measured WC) µ (meanWC at 50th
    percentile)
  • d(SDDiff.WC at 68th
    50th percentile)

17
Gator Circle
  • Currently unable to measure visceral obesity by
    anthropometric measurements
  • Developing the Gator Circle to address this
    issue
  • Gator circle uses umbilical skinfold, suprailiac
    skinfold, mid-back skinfold and waist
    circumference to calculate visceral cavity area.

18
Visceral Cavity Area
  • The visceral cavity area area within the
    abdominal cavity.

Visceral Cavity
Subcutaneous Tissue
19
Visceral Cavity Area
20
Visceral Cavity Area
Our appreciation to Cade Fields-Gardener for
discussions concerning measurements
21
Visceral Cavity Area Equation
  • Arm Muscle Area (C (p x TSF))
  • 4p
  • C mid upper arm circumference
  • TSF triceps skinfold thickness
  • Visceral Cavity Area (VCA)
  • (UCcmm (p x ((VUSF 2VSISF VMBSF)/4))2
  • 4p
  • UCcmm umbilical cavity circumference (Measured
    in cm converted to mm)
  • VUSF vertical umbilical skinfold (measured in
    millimeters)
  • VSISF vertical supra iliac skinfold (measured in
    millimeters)
  • VMBSFvertical mid back skinfold (measured in
    millimeters)

22
Visceral Cavity
23
Creating the Gator Circle
  • Use VCA equation to obtain the VCA
  • VC VCA/UCcmm x 100
  • VC shows what percentage of total umbilical
    cavity is found in the VCA
  • Gator Circle VC x WC z-score
  • Addition of WC Z-score establishes relationship
    to a comparative population

24
Insulin Resistance
25
Insulin Indices Which Is Best?
26
Not easily utilized in the clinical setting.
27
Insulin Indices
  • Each index has a different threshold therefore,
    each index relies on a different scale.
  • The difference in directional change (increasing
    or decreasing) of the parameter with insulin
    resistance makes rapid assessment of values
    relative to each indexs threshold complicated.
  • Therefore, the percent difference from each
    indexs respective threshold was calculated
  • all positive percentages indicate being beyond
    the threshold
  • all negative percentages indicate having not yet
    reached the threshold

28
Cumulative Indices Assessment
  • A single value to diagnose insulin resistance
  • Smoothes out discrepancies between indices
    diagnosis
  • Easy to use in clinical and research practice.

29
Practical Clinical Monitoring
  • Insulin resistance is defined as being beyond the
    most extreme threshold for the given index
  • Need a method to show all indices as they are
    used in a collaborative assessment of insulin
    resistance status due to the lack of information
    concerning the superiority of one index over any
    other.
  • Created a graph in which the x-axis (0.000)
    represents each indexs most extreme threshold,
    which is used to diagnose insulin resistance by
    that specific index.

30
Insulin Resistance Indices Graphs
  • All red (bad) bars indicate percent differences
    that are beyond this threshold (in the positive
    percent directions).
  • All green (good) bars indicate percent
    differences below the indexs threshold (in the
    negative percent direction).
  • The y-axis (percentage) has been normalized to be
    100 in either direction. This was done so that
    all bars appear in the same proportions in every
    graph.

31
No Indication Of Insulin Resistance
32
Mixed Indication Of Insulin Resistance
33
Indication Of Insulin Resistance
34
Cumulative Indices Assessment
  • The average percent difference from the five
    indices was calculated to create a single value
    (Cumulative Indices Assessment, CIA) that
    represents a patients insulin resistance
  • A positive CIA diagnoses insulin resistance,
    while a negative CIA indicates not having insulin
    resistance.
  • This method has the advantage of a single value
    to indicate insulin resistance, while dealing
    with a system that utilizes five different
    indices.

35
What does the CIA tell you?
  • 6/1931.59 diagnosed with IR
  • Results skewed somewhat due to selection of
    patients - Still indicates that IR is present
  • The CIA can be plotted against the clinical
    abnormalities associated with IR
  • Determine which factors are more strongly
    correlated
  • Attempt to predict IR from retrospective data
    when no insulin data is available

36
r0.9006 p
37
Correlation (preliminary results)
  • STRONG
  • Insulin
  • Triglycerides
  • Present
  • VCA
  • Gator Circle
  • Waist z-score
  • None
  • BMI z-score
  • HDL
  • Total Cholesterol
  • LDL
  • Glucose

38
Impaired Fasting Glucose????
  • Our population does not exhibit significant
    glucose problems
  • No significant correlation with glucose and the
    CIA
  • Not a good tool for diagnosis
  • Do not usually have IFG without IR
  • BUT do have IR without IFG

39
Practical Way to Monitor?
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