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Should we use WFH or MUAC as admission criteria in CTC

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Weight for height: relationship between body weight (96% unrelated to nutrient ... DO NOT CORRECT MUAC FOR AGE. ENN Infant feeding in emergency. 3- Compare ... – PowerPoint PPT presentation

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Title: Should we use WFH or MUAC as admission criteria in CTC


1
Should we use WFH or MUAC as admission criteria
in CTC ?
  • André Briend
  • World Health Organization,
  • Child and Adolescent Health and Development,
    Geneva
  • brienda_at_who.int

2
How to select a nutritional index as admission
criteria for CTC ?
  • 1- Compare indices to a golden standard
  • 2- Compare prognostic value
  • 3- Compare response to treatment of selected
    children
  • 4- Do a risk benefit analysis of
    misclassifications
  • 5- Looking for maximum performance of CTC

3
1- Compare indices to a "gold standard"
  • Good approach use as "gold standard" a reliable
    measure of nutritional status
  • Wrong approach take one of the indices as "gold
    standard".
  • MUAC often rejected because it poorly correlates
    with WFH considered as "gold standard".
  • NONSENSE !!!

4
What do we want to measure ?
  • Physiology nutritional status RATIO between
    NUTRIENT RESERVES (MUSCLE and fat) and nutrient
    requirements of ORGANS (BRAIN, liver, heart,
    kidney)
  • Special role of muscle as nutrient reserve during
    infections
  • Nutrient reserves in muscle 4 body weight in
    children (20 of 20 body weight)
  • Weight for height relationship between body
    weight (96 unrelated to nutrient reserves) and
    height (very remotely related to nutrient
    requirements of organs)
  • MUAC more directly related to muscle mass (still
    80water)

5
Using body composition as "gold standard"
  • Only 1 study looked at anthropometry vs body
    composition
  • Brambilla et al. Lean mass of children in various
    nutritional states. Comparison between
    dual-energy X-ray absorptiometry and
    anthropometry. Ann N Y Acad Sci. 2000
    May904433-6.
  • Gold standard ratio lean mass (arms
    legs)/trunk
  • Children aged 4-11 years, 10 celiac disease, 10
    healthy thin, 41 normal and 39 obese.

6
Correlation between different nutritional indices
with the lean mass ratio (arms legs)/trunk
MUAC more closely correlated with measures of
body composition by DEXA than other indices
Brambilla et al. Ann NY Acad Sc, 2000
7
Discussion of the DEXA study
  • Limitations
  • Age group (4-11 years) different from children
    seen in CTC, some obese children
  • Main conclusion
  • MUAC may better reflect body composition than WFH

8
2- Compare the prognostic value
Sensitivity a/(ac) Specificty d/(bd) False
positive 1- Specificity
9
ROC curve of different nutritional indices to
assess the risk of dying in rural Senegal
1- MUAC 2- WFA 3- WFH 4- HFA
Briend et al, Eur J Clin Nutr 1989
10
Result of the study comparing indices to assess
the risk of dying
  • MUAC is usually among the best indices, if not
    the best, often superior to WFH
  • Correcting MUAC for age or height does not
    improve the quality of the prediction

11
Why MUAC is superior to assess the risk of dying ?
  • Relationship with body composition and muscle
    mass (see above)
  • Age effect MUAC increases with age, and a fixed
    cut off automatically selects younger children
  • Both explanations are compatible malnutrition
    gives the body composition of a younger child
    (lower muscle / organ ratio)

12
Age effect
MUAC selects preferentially YOUNG malnourished
children, at higher risk of death DO NOT CORRECT
MUAC FOR AGE
ENN Infant feeding in emergency
13
3- Compare response to treatment
  • Weight gain seems related to WFH on admission
  • Young children with low MUAC but moderate wasting
    usually have moderate weight gain
  • Rationale for not using MUAC for admission in a
    TFC, especially for the 6-12 months

14
4- Compare risks and benefits of MUAC and WFH
  • No system of selection of malnourished children
    is perfect, whatever selection criteria is used
  • Whether MUAC or WFH is used, risk benefits of
    admission or rejection for treatment should also
    be made

15
4- Risk benefits of selection with WFH and MUAC
in a TFC
16
4- Risk benefits of selection with WFH and MUAC
with CTC
17
Will use of MUAC result in higher patient load
and higher programmes costs ?
  • OPEN QUESTION
  • Young children with low MUAC and high WFH will be
    "added" to the program
  • BUT
  • Older children with high MUAC, low WFH will not
    be included
  • REMARK
  • Use of both criteria (low WFH OR low MUAC) will
    increase patient load

18
5- Looking for maximum performance indicators of
CTC
  • MUAC selects younger children with higher
    mortality and lower weight gain
  • Objective of the program ?
  • "Looking good" have good weight gain, low
    mortality WITHIN the program ? GO FOR WFH
  • "Doing good" target vulnerable children, have an
    impact on OVERALL mortality ? GO FOR MUAC
  • Note "Doing good option" may cost a bit more
    need to brief donors

19
Conclusions
  • The choice between MUAC and WFH will depend on
    whether we give greater importance to the
    assessment of the risk of death or to the
    response to treatment
  • However, CTC changes the risk benefit matrix.
  • Need to reconsider the current use of WFH as
    admission criteria in CTC programmes Selection
    by MUAC seems more adapted to CTC.

20
Last argument in favor of WFH
  • Warum es einfach machen wenn es auch kompliziert
    geht ???
  • German proverb
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