Literature DB >> 27105839

Weight Estimation Methods in Children: A Systematic Review.

Kelly D Young1, Noah C Korotzer2.   

Abstract

STUDY
OBJECTIVE: We seek to collect, review, evaluate, and synthesize the current literature focusing on all published methods of pediatric weight estimation.
METHODS: We conducted a literature review using PubMed and Web of Science databases, and the Google Scholar search engine, with the "similar articles" feature, as well as review of the bibliographies of identified studies. We excluded studies estimating weight of neonates, predominantly adults without separate information for children, child self-reported weight, and studies estimating outcomes other than weight. Quantitative outcomes of accuracy (proportion within 10% of actual weight), mean percentage error, and mean bias were preferred.
RESULTS: Eighty studies met inclusion criteria with predominant methods: parent or health care worker weight estimation, age-based formulae, and length-based estimation without (eg, Broselow) or with adjustment for body habitus (eg, Pediatric Advanced Weight-Prediction in the Emergency Room, Mercy). Parent estimation was the most accurate at predicting total (actual) body weight, with length-based methods with habitus adjustment next. Length-based methods outperformed age-based formulae, and both tended to underestimate the weight of children from populations with high obesity rates and overestimate the weight of children from populations with high malnourishment rates. Health care worker estimation was not accurate.
CONCLUSION: Parent estimation and length-based methods with adjustment for body habitus are the most accurate methods to predict children's total (actual) body weight. Age-based formulae and length-based methods without habitus adjustment likely tend to predict ideal body weight.
Copyright © 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27105839     DOI: 10.1016/j.annemergmed.2016.02.043

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  22 in total

1.  A smartphone application to determine body length for body weight estimation in children: a prospective clinical trial.

Authors:  Oliver Wetzel; Alexander R Schmidt; Michelle Seiler; Davide Scaramuzza; Burkhardt Seifert; Donat R Spahn; Philipp Stein
Journal:  J Clin Monit Comput       Date:  2017-06-28       Impact factor: 2.502

2.  Accuracy of weight estimation by the Broselow tape is substantially improved by including a visual assessment of body habitus.

Authors:  Mike Wells; Lara Goldstein; Alison Bentley
Journal:  Pediatr Res       Date:  2017-10-18       Impact factor: 3.756

3.  The RAMA Ped Card: Does it work for actual weight estimation in child patients at the emergency department.

Authors:  Thavinee Trainarongsakul; Pitsucha Sanguanwit; Supawan Rojcharoenchai; Kittisak Sawanyawisuth; Yuwares Sittichanbuncha
Journal:  World J Emerg Med       Date:  2017

4.  Development and Validation of a Length- and Habitus-Based Method of Ideal and Lean Body Weight Estimation for Adults Requiring Urgent Weight-Based Medical Intervention.

Authors:  Mike Wells; Lara Nicole Goldstein; Giles Cattermole
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-09-19       Impact factor: 2.569

5.  A validation of newly developed weight estimating tape for Korean pediatric patients.

Authors:  Sungwoo Choi; Sangun Nah; Sumin Kim; Eun O Seong; So Hyun Kim; Sangsoo Han
Journal:  PLoS One       Date:  2022-07-07       Impact factor: 3.752

6.  Weight Estimation Tool for Children Aged 6 to 59 Months in Limited-Resource Settings.

Authors:  Mark E Ralston; Mark A Myatt
Journal:  PLoS One       Date:  2016-08-16       Impact factor: 3.240

7.  Estimating the weight of children in Nepal by Broselow, PAWPER XL and Mercy method.

Authors:  Karun Shrestha; Prakriti Subedi; Oshna Pandey; Likhita Shakya; Kailash Chhetri; Darlene R House
Journal:  World J Emerg Med       Date:  2018

8.  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

9.  A model for habitus-adjusted paediatric weight estimation by age and data concerning the validation of this method on a large dataset of English children.

Authors:  Nicholas Appelbaum; Jonathan Clarke; Ian Maconochie; Ara Darzi
Journal:  Data Brief       Date:  2017-12-06

Review 10.  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
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