PP340
ENHANCING NUTRITIONAL RISK ASSESSMENT IN THE ED: A SIMPLE ANTHROPOMETRIC METHOD FOR ACCURATE WEIGHT ESTIMATION
S. Lee1,*, S. Kwon1, H. Lee1, J. H. Beom2, H. Lee1, C.-O. Kim1, H. Jang3, K. Y. Song3, S. Park1
1Department of Internal Medicine, Division of Integrated Medicine, 2Department of Emergency Medicine, Yonsei University College of Medicine, 3Yonsei University College of Medicine, Severance Hospital, Seoul, Korea, Republic Of
Rationale: Accurate body weight is crucial for drug dosing and nutritional assessment. In the ED, direct measurement is often unfeasible, and relying on patient-reported weight causes discrepancies. We developed a simple anthropometry-based model for weight estimation, applying key variables from prior studies to our institution’s patients.
Methods: Adult patients visiting the ED on working days and admitted to Integrated Medicine were included. Four anthropometric models—MUAC, WC, CC, and height—were evaluated using adjusted R², RMSE, and MAE. Validation was done via 5-fold cross-validation and Bland-Altman analysis.
Results: 65 patients were included, with 42 selected after removing those with missing data. The optimal equation for predicted weight was: Predicted weight (kg) = -35.21 + 1.42×MUAC + 0.48×WC + 0.62×Height. Model 3, with an adjusted R² of 0.80, was chosen. Bland-Altman showed minimal bias. The process took about one minute, ensuring feasibility in the ED.
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Conclusion: This study evaluated the feasibility of estimating body weight in ED patients when direct measurement is not possible, using MUAC, WC, and height. The model showed no significant bias compared to ward-measured weight. While not aiming to develop a new model, the analysis focused on identifying minimal variables for clinical use and assessing real-world feasibility.
Key clinical implications include 1) providing an alternative for weight estimation in the absence of direct measurement, and 2) reducing errors compared to patient-reported weight.
References:
[1] Guerra RS, Fonseca I, Pichel F, Restivo MT, Amaral TF. Prediction equations for estimating body weight in older adults. Journal of Human Nutrition and Dietetics. 2021;34(3):587–596.
Disclosure of Interest: None declared