Weight Clinical Trial
Official title:
Taking the Guesswork Out of Pediatric Weight Estimation (TAPE): Validation of the Mercy TAPE
In 'real-world' health care settings there exist a number of circumstances where the weight of a child is desirable or even necessary but unavailable. Numerous weight estimation strategies have been described but each has limitations. Investigators at Children's Mercy Hospitals and Clinics recently developed a weight estimation method and tool that addresses the limitations of previously published methods. This study is intended to validate the device in a population of children 2 months to 16 years of age.
In 'real-world' health care settings there exist a number of circumstances where the weight
of a child is desirable or even necessary but unavailable. The most conspicuous of these
settings can be found in developing countries where many medical clinics lack suitable
scales to obtain accurate infant and child weights. Though resource restrictions are less of
an issue in developed countries, scenarios still exist where weight assessment is
problematic. For example, accurate estimates of a child's weight are rarely available during
emergency or trauma situations, and in some in-patient settings (e.g. critical care units,
orthopedic clinics) obtaining an accurate patient weight can be impaired by the presence of
external hoses, tubing, casts, and/or other medical equipment. Irrespective of the
environment, the challenge that each of these settings present is the same; namely, the
provision of age-appropriate, weight-based interventions which remain the most accurate
approach to delivering therapy in children. Thus, techniques which permit accurate weight
estimation address a critical medical need in both developing and developed countries.
Numerous weight estimation strategies have been described with each used to varying degrees
in clinical practice. Many of the published techniques have distinct advantages. For
example; simple age-based equations can be used without the need for reference materials,
strategies that utilize preprinted tables or tools limit the risk of calculation errors.
Other techniques present unnecessary complexities for the end-user including; the need for
subjective assessments of habitus, the requirement to solve exponential equations, the call
for multiple formulae delineated by age bracket, or the reliance on one or more reference
charts. Irrespective of their simplicity or complexity, almost all of the reported
techniques have significant limitations. Relatively few methods have been evaluated in
pediatric populations of varying races, ethnicities and nationalities and essentially no
single previously described method provides accurate estimates of weight across broad age-
and weight-bands.
Apart from parental recall which can vary in accuracy, the most commonly used strategies for
estimating weight rely on the child's age, length, or a combination of the two parameters.
While simple and easy to integrate into a weight estimation technique, age based strategies
fail to account for the extremes of body composition and stature that are observed in
children of the same age. Similarly, length based strategies do not take into consideration
that two children of the same height may demonstrate markedly discrepant weights based on
underlying nutritional status (e.g. malnourished, underweight, overweight, obese).
Consequently, many of the currently available weight estimation strategies perform well in
only a small subset of children. As such, there remains a critical need for weight
estimation methods that are accurate across a wide range of pediatric ages, weights,
lengths, nationalities and body compositions despite the relative abundance of strategies
that already exist.
Investigators at Children's Mercy Hospitals and Clinics recently developed and validated a
weight estimation method (the Mercy MethodTM) that addresses the principal limitations of
previously published methods, requires no subjective assessment and performs robustly
independently of age and length over a broad range of weights. As with other strategies, the
Mercy Method incorporates growth velocity but uses humeral length as a surrogate for total
body length. Total body length will be discrepant depending on whether the measurement is
obtained with the child standing or lying down and can be difficult to obtain in a child who
is uncooperative or obtunded. The Mercy Method also incorporates body habitus as a
quantitative variable which improves the accuracy of the overall length-based weight
estimate and removes the subjective nature of categorizing the child's body type into one of
a few alternatives (e.g. "slim," "average," or "heavy"). By developing a model with these
considerations in mind we were able to expand the age range to which our weight estimation
method can be applied and remove length restrictions which are typically imposed because of
the disproportionate increase in weight-for-height observed as children get older.
In brief, demographic and anthropometric data on children 2 months to 16 years of age were
extracted from the NHANES database and individual datasets were randomly assigned into a
method development (n=17,328) or a method validation (n=1,938) set. Humeral length (HL) and
mid-upper arm circumference (MUAC) were used to develop a weight estimation method by 1)
collapsing length and habitus measurements into discrete bins, 2) examining the median
population weight for each bin-pair, 3) statistically weighting the bin-pairs for age and
sample size, and 4) calculating a fractional weight for each HL and MUAC. An individual
weight estimate is generated by the simple addition of the MUAC and HL fractional bin value
that corresponds to that individual child's measurements. The predictive performance this
method was evaluated using the internal validation set and compared with the performance of
13 previously published weight estimation methods applied to the same data.
The Mercy Method outperformed the 13 other published methods when evaluated for
goodness-of-fit, mean error, mean percentage error, root mean square error and percentage of
children in agreement within 10% of actual weight. Most of the age-and length-based
strategies examined overestimated weight in children classified, by BMI, as underweight and
significantly underestimated weight in children classified as overweight or obese. The
degree to which this occurred depended largely on the constants driving their mathematical
equations, with some methods biased toward more accurate prediction in children of lower
weight (e.g. Broselow) and others performing better among children in the higher weight
brackets (e.g. Theron). Irrespective of directionality, the bias observed with some methods
at the extremes of weight represented as much as a 3-fold error between predicted and actual
weights. Discrepancies of this magnitude can be dangerous, and potentially life-threatening,
depending on how 'forgiving' the intervention or treatment that is being administered.
The singular habitus-based method (i.e. Cattermole) ranked among the best (after the Mercy
Method) with respect to absolute bias; however, it performed only moderately well when
precision and MPE were factored into the assessment. This method, which was developed in
Chinese children consistently overestimated weight at lower absolute weights and
underestimated weight at higher absolute weight irrespective of BMI percentile. This
suggests that while the relationship between weight and MUAC tends to be linear within any
given population, the mathematical constants that define the relationship differ between
populations having different height-for-weight averages. Given the nature of the data used
to develop and validate the Mercy Method, comparative performance of the Devised Weight
Estimation Method (DWEM, the only other method to incorporate both body length and body
habitus) could not be assessed. Notably, the DWEM involves a subjective rating of "slim,"
"average," or "heavy". While DWEM has been shown to outperform other age-based methods, the
categorical assignment of habitus coupled with inconsistencies in subjective assessment
between and within observers [inter-rater agreement- 78% (range: 58-93%); intra-rater
agreement- 86% (range: 81-94%)] contributed to bias and precision estimates that were larger
than observed with strategies based solely on length.
While the Mercy Method can be used as a reference table, a more practical application was
the development of a simple and inexpensive device that can perform the two required
measurements simultaneously and report the predicted weight directly from the device as
opposed to consulting a separate table or chart. Consequently, the 3D Mercy TAPE was
developed to perform both measurements simultaneously requiring no external references to
arrive at the weight estimate for a given child. An alternative 2D Mercy TAPE was also
designed . It requires two serial measurements with the same simple addition used with the
3D TAPE but does not require any folding or manipulation when removed from its packaging.
Both devices are intended to be printed on any flexible, non-stretchable medium (e.g. paper,
plastic coated paper, fiberglass) so as to be disposable or semi-permanent, inexpensive to
mass produce and easy to store.
In its numeric form, the Mercy TAPE would be expected have limited utility in settings where
care providers are illiterate or do not use a written language. However, the tool can be
easily revised with colors and/or symbols whose combination would correspond to a given
dose, intervention strategy or weight target. While the Mercy Method is expected to perform
well in U.S. children given its creation using data from a U.S. database, external
validation of the in non-U.S. settings is currently ongoing with support of the World Health
Organization to gauge its utility in children of varying ethnicity and geographic origin.
The related 2D and 3D Mercy TAPE still awaits prospective evaluation. The requisite study to
satisfy the validation requirements are described herein under the hypothesis: The Mercy
TAPE will demonstrate the same predictive performance as the Mercy method in an independent
pediatric assessment.
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Observational Model: Cohort, Time Perspective: Prospective
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