Literature DB >> 18021107

External validation of the Best Guess formulae for paediatric weight estimation.

Anne-Maree Kelly1, Debra Kerr, Megan Clooney, David Krieser, Kevin Nguyen.   

Abstract

OBJECTIVE: A new method for estimation of weight in children based on their age has been proposed. The present study aims to validate the Best Guess formulae in a new population of children.
METHODS: This was a secondary analysis of a database collected for a prospective, observational, cohort study conducted in the Paediatric ED of Sunshine Hospital. Children aged 1-11 years who presented to the ED between 18 August 2005 and 25 February 2006 were included. Actual weight, height, age and ethnicity were obtained. Agreement between estimated weight using the Best Guess formulae and measured weight is reported using mean bias, 95% limits of agreement and proportion within 20% of actual weight.
RESULTS: A total of 410 cases were included in the present study. Forty-six per cent were female and median age was 4 years. The mean bias in the 1-5 year group was 0.9 kg, with 95% limits of agreement -3.5 to +5.3 kg. Seventy-six per cent of estimations were within 20% of measured weight. The mean bias in the 5-11 year group was 0.4 kg, with 95% limits of agreement -14.4 to +15.2 kg. In this group, 64% of estimations were within 20% of measured weight.
CONCLUSION: The Best Guess formulae performed moderately well in estimating children's weight, but had a tendency to overestimate weight, particularly in children with lower body mass index.

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Mesh:

Year:  2007        PMID: 18021107     DOI: 10.1111/j.1742-6723.2007.01025.x

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  4 in total

1.  Accuracy of nelson and best guess formulae in estimation of weights in nigerian children population.

Authors:  A O Omisanjo; A E Orimadegun; F O Akinbami
Journal:  Ann Ib Postgrad Med       Date:  2014-12

2.  Estimating the weight of ethnically diverse children attending an Australian emergency department: a prospective, blinded, comparison of age-based and length-based tools including Mercy, PAWPER and Broselow.

Authors:  Fenton O'Leary; Blessy John-Denny; Kathryn McGarvey; Alexandra Hann; Ioannis Pegiazoglou; Jennifer Peat
Journal:  Arch Dis Child       Date:  2016-10-31       Impact factor: 3.791

Review 3.  The accuracy of emergency weight estimation systems in children-a systematic review and meta-analysis.

Authors:  Mike Wells; Lara Nicole Goldstein; Alison Bentley
Journal:  Int J Emerg Med       Date:  2017-09-21

4.  Validation of Pediatric Weight Estimation Formulae in a Suburban Cameroonian Population: A Cross-sectional Study.

Authors:  Clarence Mvalo Mbanga; Valirie Ndip Agbor; Chobufo Ditah; Louise Daniele Toukam; Tsi Njim
Journal:  J Trop Pediatr       Date:  2019-02-01       Impact factor: 1.165

  4 in total

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