Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system

Background. Erroneous weight estimation during the management of emergency presentations in children may contribute to patient harm and poor outcomes. The PAWPER (Paediatric Advanced Weight Prediction in the Emergency Room) XL tape is an accurate length-based, habitus-modified weight estimation devi...

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Main Authors: M Wells, L Goldstein, A Bentley
Format: Article
Language:English
Published: Health and Medical Publishing Group 2017-11-01
Series:South African Medical Journal
Online Access:http://www.samj.org.za/index.php/samj/article/download/12106/8278
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spelling doaj-cc55d53ea7d54945aa95b3ea04c299742020-11-24T22:02:41ZengHealth and Medical Publishing GroupSouth African Medical Journal0256-95742078-51352017-11-01107111015102110.7196/SAMJ.2017.v107i11.12505Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC systemM WellsL GoldsteinA BentleyBackground. Erroneous weight estimation during the management of emergency presentations in children may contribute to patient harm and poor outcomes. The PAWPER (Paediatric Advanced Weight Prediction in the Emergency Room) XL tape is an accurate length-based, habitus-modified weight estimation device, but is vulnerable to errors if subjective visual assessments of children’s body habitus are incorrect or erratic.Objective. Mid-arm circumference (MAC) has previously been used as a surrogate indicator of habitus, and the objective of this study was to determine whether MAC cut-off values could be used to predict habitus scores (HSs) to create an objective and standardised weight estimation methodology, the PAWPER XL-MAC method.Methods. The PAWPER XL-MAC model was developed by creating MAC ranges for each HS in each weight segment of the tape. This model was validated against two samples, the National Health and Nutrition Examination Survey datasets and data from two previous PAWPER tape studies. The primary outcome measure was to achieve >70% of estimations within 10% of measured weight (PW10 >70%) and >95% within 20% of measured weight (PW20 >95%) for children aged 0 - 18 years.Results. The PAWPER XL-MAC model achieved very high accuracy in the three validation datasets (PW10 79.2%, 79.0% and 81.9%) and a very low critical error rate (PW20 98.5%, 96.0% and 98.0%). This accuracy was maintained across all ages and in all habitus types, except for the severely obese.Conclusions. The PAWPER XL-MAC model proved to be a very accurate, fully objective, standardised system in this study. It has the potential to be accurate across a wide variety of populations, even when used by those not experienced in visual assessment of habitus. http://www.samj.org.za/index.php/samj/article/download/12106/8278
collection DOAJ
language English
format Article
sources DOAJ
author M Wells
L Goldstein
A Bentley
spellingShingle M Wells
L Goldstein
A Bentley
Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
South African Medical Journal
author_facet M Wells
L Goldstein
A Bentley
author_sort M Wells
title Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
title_short Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
title_full Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
title_fullStr Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
title_full_unstemmed Development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: The PAWPER XLMAC system
title_sort development and validation of a method to estimate body weight in critically ill children using length and midarm circumference measurements: the pawper xlmac system
publisher Health and Medical Publishing Group
series South African Medical Journal
issn 0256-9574
2078-5135
publishDate 2017-11-01
description Background. Erroneous weight estimation during the management of emergency presentations in children may contribute to patient harm and poor outcomes. The PAWPER (Paediatric Advanced Weight Prediction in the Emergency Room) XL tape is an accurate length-based, habitus-modified weight estimation device, but is vulnerable to errors if subjective visual assessments of children’s body habitus are incorrect or erratic.Objective. Mid-arm circumference (MAC) has previously been used as a surrogate indicator of habitus, and the objective of this study was to determine whether MAC cut-off values could be used to predict habitus scores (HSs) to create an objective and standardised weight estimation methodology, the PAWPER XL-MAC method.Methods. The PAWPER XL-MAC model was developed by creating MAC ranges for each HS in each weight segment of the tape. This model was validated against two samples, the National Health and Nutrition Examination Survey datasets and data from two previous PAWPER tape studies. The primary outcome measure was to achieve >70% of estimations within 10% of measured weight (PW10 >70%) and >95% within 20% of measured weight (PW20 >95%) for children aged 0 - 18 years.Results. The PAWPER XL-MAC model achieved very high accuracy in the three validation datasets (PW10 79.2%, 79.0% and 81.9%) and a very low critical error rate (PW20 98.5%, 96.0% and 98.0%). This accuracy was maintained across all ages and in all habitus types, except for the severely obese.Conclusions. The PAWPER XL-MAC model proved to be a very accurate, fully objective, standardised system in this study. It has the potential to be accurate across a wide variety of populations, even when used by those not experienced in visual assessment of habitus. 
url http://www.samj.org.za/index.php/samj/article/download/12106/8278
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