Burns : journal of the International Society for Burn Injuries
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Accurate classification of burn severities is of vital importance for proper burn treatments. A recent article reported that using the combination of Raman spectroscopy and optical coherence tomography (OCT) classifies different degrees of burns with an overall accuracy of 85% [1]. In this study, we demonstrate the feasibility of using Raman spectroscopy alone to classify burn severities on ex vivo porcine skin tissues. ⋯ Both techniques yielded an average accuracy of approximately 92%, which was independently evaluated by leave-one-out cross-validation (LOOCV). By comparison, PCA+KSVM provides higher accuracy in classifying severe burns, while PLS performs better in classifying mild burns. Variable importance in the projection (VIP) scores from the PLS models reveal that proteins and lipids, amide III, and amino acids are important indicators in separating unburnt or mild burns (200°F), while amide I has a more pronounced impact in separating severe burns (450°F).
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Burn injuries are one of the most severe forms of wounds and trauma across the globe. Automated burn diagnosis methods are needed to provide timely treatment to the concerned patients. Artificial intelligence is playing a vital role in developing automated tools and techniques for medical problems. However, the use of advanced AI techniques for color images based burn region segmentation is not much explored. ⋯ In this work, we propose a CNN based novel method for performing burn-region segmentation in color images and evaluate it using newly prepared Burn Images dataset. The experimental results illustrate its effectiveness in comparison to existing approaches. Further, the proposed pixel-level segmentation method could be useful in estimating the burn surface area and burn severity in an accurate and time efficient manner.
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Statistical and epidemiological data taken throughout decades show trends of the pathology of burns and its treatment. The aim of this study is to analyze the summarized epidemiological and clinical data of severe burn patients during the period 2009-2019 in order to acquire an accurate and recent picture of this pathology. This can create a basis for improving community health outcomes. ⋯ Etiology of burns have changed toward an increase in proportion of flame burns especially in adults and elderly population. Survival following severe burns has improved over the past 11 years even in patients with three risk factors (age ≥60, BSA (%) burned ≥40% and presence of inhalation burn). LA 50 for all patients was 80%. LOS/BSA (%) ratio is a more valuable indicator than LOS alone. Improvement in the treatment of severe burns is a combination of preventive health care, appropriate treatment protocols and improvements in equipment and infrastructure.
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The presence of acute coagulopathy and its effect on prognosis in burn patients are unclear. No studies are extant verifying early coagulopathy before fluid administration in burn patients. The current study focused on arrival coagulopathy before volume resuscitation was begun in earnest. ⋯ Acute coagulopathy of burn patients might be present on arrival to the hospital before fluid replacement which is an independent risk factor for in-hospital mortality.