Title: Monitoring Obesity and Hyperinsulinemia in HIV Positive Children A Practical Approach
1Monitoring Obesity and Hyperinsulinemia in HIV
Positive Children A Practical Approach
- Peggy R. Borum, Ph.D.
- Professor of Human Nutrition
- University of Florida
- Gainesville, Florida
2Disclosure 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.
3Metabolic Syndrome in Adults
4Metabolic Syndrome in Pediatrics
5HAMD
- 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)
6HIV Associated Metabolic Syndrome (HAMD)
7Practical Way to Monitor?
8Hypertension
9Dyslipidemia
10Growth
11Obesity
12Insulin Resistance
13Practical Way to Monitor?
Hypertension
Dyslipidemia
Growth
Obesity
Insulin Resistance
14Obesity
15Visceral 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.
16Waist 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)
17Gator 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.
18Visceral Cavity Area
- The visceral cavity area area within the
abdominal cavity.
Visceral Cavity
Subcutaneous Tissue
19Visceral Cavity Area
20Visceral Cavity Area
Our appreciation to Cade Fields-Gardener for
discussions concerning measurements
21Visceral 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)
22Visceral Cavity
23Creating 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
24Insulin Resistance
25Insulin Indices Which Is Best?
26Not easily utilized in the clinical setting.
27Insulin 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
28Cumulative Indices Assessment
- A single value to diagnose insulin resistance
- Smoothes out discrepancies between indices
diagnosis - Easy to use in clinical and research practice.
29Practical 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.
30Insulin 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.
31No Indication Of Insulin Resistance
32Mixed Indication Of Insulin Resistance
33Indication Of Insulin Resistance
34Cumulative 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.
35What 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
36r0.9006 p
37Correlation (preliminary results)
- STRONG
- Insulin
- Triglycerides
- Present
- VCA
- Gator Circle
- Waist z-score
- None
- BMI z-score
- HDL
- Total Cholesterol
- LDL
- Glucose
38Impaired 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
39Practical Way to Monitor?