Paediatric weight estimation by age in the digital era: optimising a necessary evil

Area of Science:

• Pediatric Emergency Medicine
• Biostatistics
• Medical Informatics

Background:

• Age-based weight estimation is common in pediatric emergency medicine but known for its inaccuracy.
• Existing methods often fail to account for individual variations in children's growth.
• This inaccuracy poses risks in critical care scenarios.

Purpose of the Study:

• To evaluate a novel mobile application for improving pediatric weight estimation accuracy.
• The app utilizes CDC/WHO weight-for-age data, gender, body habitus, and age in months.
• To compare its performance against traditional age-based formulas.

Main Methods:

• A simulated validation study was conducted using a large dataset (1,070,743 children).
• Compared five methods: APLS/EPALS formulae, two habitus-adjusted methods, and the Helix Weight Estimation Tool.
• Data from the UK National Child Measurement Programme (2015/2016) for children aged 4-5 and 11-12 years was used.

Main Results:

• The developed habitus-adjusted method demonstrated superior accuracy across all error thresholds.
• Estimations within 10% of actual weight were achieved in 70.4% of cases.
• Estimations within 20% reached 95.45%, with a mean percentage error of -1%.

Conclusions:

• A digital tool incorporating body habitus, gender, and age-in-months can optimize pediatric weight estimation.
• This approach enhances the safety and accuracy of weight estimation when age-based methods are necessary.
• The findings support the use of such tools to improve clinical decision-making in pediatric emergencies.