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Estimation of weight in adults from height: a novel option for a quick bedside technique
Daniel D Kokong1, Ishaya C Pam2, Ayuba I Zoakah3
1Department of ORL-Head and Neck Surgery (ORL-HNS), College of Medicine, University of Jos, Jos University Teaching Hospital, PMB 2076, Jos, Plateau State, Nigeria. dankokong@yahoo.com.
Insights
A new bedside formula using height accurately estimates adult weight in critical care. This quick method, eBW(kg) = 100(N-1), aids in emergencies when weighing is not feasible.
Area of Science:
- Critical Care Medicine
- Emergency Medicine
- Clinical Biomechanics
Background:
- Accurate patient weight estimation is crucial for drug dosing and procedures in critical care.
- Existing methods for weight estimation in adults are often complex or unvalidated.
- There is a need for a rapid, accurate, and convenient bedside method for weight estimation in emergency situations.
Purpose of the Study:
- To develop and validate a simple bedside formula for estimating adult body weight using height.
- To assess the correlation and accuracy of the proposed weight estimation method in a critical care context.
Main Methods:
- A formula, estimated body weight (eBW) in kg = 100(N-1), where N is height in meters, was developed.
- Adults (n=122) had their height and weight measured; estimated weight was calculated using the formula.
- Statistical analysis included correlation, linear regression, Bland-Altman plots, and kappa statistics using SPSS version 21.0.
Main Results:
- The study analyzed 122 participants aged 21-38 years, with heights ranging from 1.55m to 1.95m.
- The formula demonstrated a high positive predictive value (94.7% for normal BMI, 95.5% for overweight).
- Excellent correlation (r=+1, P=0.000) and agreement (kappa=0.618) were found between actual and estimated weights.
Conclusions:
- The developed formula eBW(kg) = 100(N-1) shows a strong statistical agreement for weight estimation in adults.
- This method offers a practical and accurate solution for weight estimation in critical care and Advanced Trauma Life Support (ATLS) protocols.
- The study scientifically validates a quick bedside tool for emergency weight estimation, enhancing patient safety and treatment efficacy.
Purpose:
In critical care situations, there are often neither the means nor the time to weigh each patient before administering strict weight-based drugs/procedures. A convenient, quick and accurate method is a priority in such circumstances for safety and effectiveness in emergent interventions as none exists in adults while those available are complex and yet to be validated. We aimed to study the correlation and accuracy of a quick bedside method of weight estimation in adults using height.
Method:
The technique is estimated body weight-eBW(kg) = (N - 1)100, where 'N' is the measured height in metres. Adult undergraduates were enrolled 10/09/2015. Their heights and weights were measured while the formula was used to obtain the estimated weight. The SPSS version 21.0, Chicago, IL, USA was utilised for data analysis.
Results:
We analysed 122 participants aged 21-38 years with height = 1.55 m-1.95 m. The actual body weight range = 48.0 kg-91.0 kg, mean = 65.3 kg ± 9.7 kg and S.E. = 2.0 while eBW = 55 kg-95 kg, mean = 69.1 kg ± 8.4 kg and S.E. = 1.5. On BMI classes, a positive predictive value of 94.7% for the 'normal' category and 95.5% for 'overweight'. Correlation coefficient at 99% confidence interval yielded (r) = + 1, (P = 0.000) while the linear regression coefficient (r2) = + 1 at 95% confidence interval (P = 0.000). The strength of agreement/precision was established by the Bland-Altman plot at 95% ± 2 s (P = 0.000) and kappa statistic with value = 0. 618.
Conclusion:
This unprecedented statistical characterisation of the two weight estimate measures to have a good agreement scientifically proposes the utility of our method with the formula eBW(kg) = 100(N-1) in critical care and ATLS protocol.
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