Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach

Journal of Burn Care & Research : Official Publication of the American Burn Association
Nehemiah T LiuJosé Salinas

Abstract

The intrinsic relationship between fluid volume and open wound size (%) has not been previously examined. Therefore, we conducted this study to investigate whether open wound size can be predicted from fluid volume plus other significant factors over time and to evaluate how machine learning may perform in predicting open wound size. This retrospective study involved patients with at least 20% TBSA burned. Various predictive models were developed and compared using goodness-of-fit statistics (R2, error [mean absolute error (MAE), root mean squared error (RMSE)]). Bland-Altman analysis was also performed to determine bias. A total of 121 patients were included in the analysis. Median TBSA burned was 31% (interquartile range: 26-46%). Average crystalloid volumes were 4.0 ± 2.7 ml/kg/TBSA in the first 24 hours. There were 24 (20%) patients who died. Importantly, multivariate analysis identified seven independent predictors of open wound size. Also, machine learning analysis was able to stratify patients based on the 20th day after admission, ~40% TBSA burned, and fluid volumes. Models for predicting open wound size varied in performance (R2 = .79-.90, MAE = 3.97-7.52, RMSE = 7.11-10.69). Notably, a combined machine learning model ...Continue Reading

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Citations

Apr 14, 2019·Transfusion·Jennifer M GurneyLeopoldo C Cancio
Jun 25, 2019·Journal of Burn Care & Research : Official Publication of the American Burn Association·Nehemiah T LiuJosé Salinas
Jul 9, 2021·Plastic and Reconstructive Surgery. Global Open·Angelos MantelakisAnkur Khajuria
Aug 24, 2021·Burns and Trauma·Francisco Serra E MouraChidi Ekwobi
Aug 23, 2021·Burns : Journal of the International Society for Burn Injuries·Samantha HuangJustin Gillenwater

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