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Development and validation of a novel paediatric weight estimation equation in multinational cohorts of sick children.

作者信息

McVey Lindsey, Young David, Hulst Jessie, Bradley Sarah, Raudaschl Adrian, Karagiozoglou Thomais, Daskalou Efstratia, Choudhery Vincent, Macleod Isobel, Joosten Koen, Spenceley Neil, Gerasimidis Konstantinos

机构信息

Human Nutrition, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK.

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK.

出版信息

Resuscitation. 2017 Aug;117:118-121. doi: 10.1016/j.resuscitation.2017.04.025. Epub 2017 Apr 29.

DOI:10.1016/j.resuscitation.2017.04.025
PMID:28465140
Abstract

AIM

In sick children who are unable to be weighed estimation of weight is often required, but the routinely used equations lack accuracy and precision. This study aimed to develop a novel equation (Children's European Estimator of Weight-CEEW) using measurements of mid-upper arm circumference (MUAC) and other predictors in multinational groups of sick children in Europe.

METHODS

Weight estimation equations were developed in 2086 children from the UK, Greece and the Netherlands, using a combination of demographics, MUAC and height measurements. The final CEEW equations were compared against the performance of the European Resuscitation Council (ERC), Advanced Paediatric Life Support (APLS) and the Cattermole equations.

RESULTS

Two final CEEW equations were developed, incorporating measurements of age, gender and MUAC, with (CEEW1) or without (CEEW2) the inclusion of height. Both equations presented very high coefficients of determination (R>96.5%), minimal mean prediction error and narrower limits of agreement than the comparator equations. 88% (CEEW1) and 77% (CEEW2) of weight estimates fell within 15% of measured body weight. These figures compared with less than 57%, 57% and 37% for the ERC, APLS and Cattermole equations respectively.

CONCLUSION

The CEEW equations performed substantially better than other routinely used equations for weight estimation. An electronic application for mobile use is presented.

摘要

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