Burns : journal of the International Society for Burn Injuries
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Observational Study
Application of calcium nebulization for mass exposure to an accidental hydrofluoric acid spill.
To determine the long-term prevalence and characteristics of acute hydrofluoric acid (HF) exposure in 2223 patients during the first 30 months after a mass-casualty exposure, and to confirm the antidotal effect of nebulized calcium on inhalation burns caused by HF. ⋯ Respiratory toxicity after mass exposure to an HF spill was successfully treated by calcium nebulizer. Based on our experience, detoxification processes and the amounts of antidote stocked are important when planning for future chemical disasters at the community level.
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Our aim was to describe the epidemiology of isolated adult lower limb burns presenting to the Pinderfields Regional Burns Centre, Wakefield, United Kingdom between 2003 and 2018. Data was obtained using our local records of the international Burn Injury Database (iBID). 6059 patients were treated in our department during this period. 18.7% presented with isolated lower limb burns (n = 1133). 65.4% of patients were male (n = 741). Scald was the most common mechanism of injury. ⋯ Isolated lower limb burns are common in patients in the working age group. Work-related injuries are preventable. Targeted education to highlight the risks, reduce the incidence, and improve awareness of first aid measures are recommended.
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Recommended first aid approaches on burn injuries and wounds are highly effective to reduce complications and improve positive patient outcomes. However, traditional practices can be harmful for wound healing and increase infection risks. Therefore, the present study is aimed at determining Turkish people's traditional and modern first aid practices in burn injuries and wound. ⋯ We believe that more individuals (especially, older and female participants) should be contacted in order to provide first aid training and disseminate recommended practices on first aid. Further comprehensive studies are indicated to improve the quality of healthcare and to determine the needs and reasons to Turkish peoples choose of traditional practices.
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Burns are a serious health problem leading to several thousand deaths annually, and despite the growth of science and technology, automated burns diagnosis still remains a major challenge. Researchers have been exploring visual images-based automated approaches for burn diagnosis. Noting that the impact of a burn on a particular body part can be related to the skin thickness factor, we propose a deep convolutional neural network based body part-specific burns severity assessment model (BPBSAM). ⋯ The main contributions of this work along with burn images labelled datasets creation is that the proposed customized body part-specific burn severity assessment model can significantly improve the performance in spite of having small burn images dataset. This highly innovative customized body part-specific approach could also be used to deal with the burn region segmentation problem. Moreover, fine tuning on pre-trained non-burn body part images network has proven to be robust and reliable.