Clinical PaperSize does matter – Age-related weight estimation in “tall n’ thin” and “tiny n’ thick” children and a new habitus-adapted alternative to the EPLS-formula☆
Introduction
Weight in kilograms (kg) is a required parameter in the emergency medical care of sick or injured children.1 In cardiac arrest, defibrillation energy and most drug doses are calculated based on weight in kilograms. In non-critical medical situations, such as planned surgery or in-patient care in hospitals, weight can and should be measured. In life-threatening and prehospital situations, weighing is commonly not an option as it is time-consuming and requires repositioning the patient onto a scale. Parental weight estimation remembering the last weighing is the next best option,2 followed by weight estimation using a length-weight correlation as in the Broselow tape.3, 4 European pediatric life support (EPLS) courses by the European Resuscitation Council (ERC) suggest the use of an age-weight-correlation by an age-dependent formula, commonly referred to as the EPLS-formula5: [(age in years + 4) × 2]. Several other formulas for weight estimation based on age have been reported in the literature. The basic principle of age-dependent formulas is the theory that a lone and sick or injured, yet awake child might correctly tell the health provider his age, but not his weight.
In pediatrics, growth is usually expressed by using percentiles. The 50th percentile resembles the mean weight or length for given age.11, 12 All formulas have been developed by referencing normal-sized and normal-weighted children.13 Therefore, they lack accuracy in children demonstrating a non-normal growth – specifically thinner-than-usual or thicker-than-usual children. Weight estimation using a length-weight correlation, such as the Broselow-tape, has the same limitation. This has recently been recognized and led to the development of tools like the PAWPER-tape6, 7 or the Mercy-method-tape (ClinicalTrials NCT01709500) that incorporate other parameters like habitus or mid-arm circumference8 for a more precise and differentiated estimation. The American Heart Association advocates in their actual guidelines for Pediatric Advanced Life Support (PALS) the use of tapes, though stating that habitus might be an important consideration.9
The incorporation of habitus into an age-dependent formula has yet to be introduced. This led the authors of this article to the idea of developing a new as-simple-as-possible formula for age-dependent weight estimation that can be also used in children with non-normal weight. In this article, the performance of the commonly used formulas in children with lean, normal and sturdy habitus is examined followed by the presentation of a new formula for weight estimation. This is based on the standard percentiles for growth in childhood by the World Health Organization (WHO) and the Center for Disease Control (CDC).
Section snippets
Materials and methods
For regression analysis, a linear regression model was applied onto the same reference database in order to produce a formula for weight as a function of age in years, separately for the 5th, 50th and 95th percentile. For goodness of fit testing, coefficient of determination R2 and analysis of variance were performed.
The reference percentiles for children aged 1–12 years are shown in Fig. 1. Using these data as reference, the authors compared the results of various age-dependent formulas and
Results
The performance of the various formulas described in the literature is shown in Fig. 1 and Table 1. The authors also added the simplest formula [kg = 4 × years], which is a simplification of the best guess method into analysis.
The displayed ICC-value represents the absolute correlation between the reference values and the results of the shown formula. The colored background of cell in Table 1 represents the goodness of correlation as indicator for the quality of the formulas performance. The
Discussion
The EPLS-formula is the most commonly referred age-dependent formula. Imprecise estimations, especially in populations with growth differing from the United States 13, 14, 15, have led to the development of several other formulas.16 The “Advanced Life Support Group” (ALSG) changed their recommendation for an age-dependent formula in the 5th edition of their “advanced pediatric life support” (APLS) course manual17 from the EPLS-formula to a more complex one (see Table 1). Each of the various
Conflict of interest statement
The authors state that they have no conflicts of interest.
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Cited by (13)
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2020, African Journal of Emergency MedicineCitation Excerpt :Some experts advocate the use of pre-calculated drug dosing regimes for emergency drugs based on best estimation weight calculations based on age [25]. Although age-based weight estimation might still be practised in some settings, many experts consider it to be dangerously inaccurate, vulnerable to calculation errors and no longer appropriate for clinical use, especially since other – and better – methods are available [26–29]. These formulas are also not advocated by the leading international resuscitation organisations [9].
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It is time to abandon age-based emergency weight estimation in children! A failed validation of 20 different age-based formulas
2017, ResuscitationCitation Excerpt :Although the statistical relationship between age and weight is less linear and less close than that between length and weight, age-based weight estimation could potentially be improved by taking habitus into account. This has already been shown in a theoretical study, but no validation studies have proven the concept [19]. Our primary objective was to evaluate the accuracy of every published weight-estimation formula in our study population (both age- and length-based).
A systematic review and meta-analysis of the accuracy of weight estimation systems used in paediatric emergency care in developing countries
2017, African Journal of Emergency MedicineCitation Excerpt :Many of these methods were derived from populations of well- or over-nourished children and have been shown to lack accuracy and consistency of performance, especially between different populations [12–14]. To limit the degree of underestimation of weight in high-income country populations, newer age-based formulas have been developed over the last decade to accommodate for the increasing prevalence of obesity in children [15,16]. The Broselow tape has also been updated and modified (to the current version: 2011 edition A) to reduce the risk of underestimation of weight [17].
Weight Estimation Methods in Children: A Systematic Review
2016, Annals of Emergency MedicineCitation Excerpt :We screened the abstracts of 131 studies and excluded 16 after screening and an additional 35 after full-text review (Figure). We thus included 80 studies on the topic of estimating weight in pediatric patients that met our inclusion criteria in this review.2,4,6-83 Studies were published from 1986 to 2016 and were conducted in 23 countries, although more were from the United States.
Predictive Models for Calculating Body Weight and Assessing the Likelihood of Overweight and Obesity in Young Children
2023, Paediatrics Eastern Europe
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A Spanish translated version of the summary of this article appears as Appendix in the final online version at http://dx.doi.org/10.1016/j.resuscitation.2014.04.032.