Burns : journal of the International Society for Burn Injuries
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The Caucasian giant hogweeds (Heracleum sosnowskyi Manden. and Heracleum mantegazzianum Sommier et Lever) are aggressive invaders that are successfully spreading in different parts of the world. Exposure of human skin to these plants may lead to phototoxicity and even chemical burns manifested by cutaneous, full-thickness, and long-lasting dermatitis, and in extreme cases, massive skin necrosis. Forestry workers are a group with potentially increased risk of exposure to these plants because of the outdoor nature of their work and their active involvement in managing invasive species. ⋯ At the same time, <35% of those surveyed had any knowledge of the control and management of these giant hogweeds. As demonstrated by our study, stands of these species are widely distributed within the Polish forest districts (reported in over 50%). Therefore, there is an urgent need to implement an efficient, multistrategic, and long-term approach to both control their spread and protect human health.
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Estimating the time and temperature relationship for causation of deep-partial thickness skin burns.
The objective of this study is to develop and present a simple procedure for evaluating the temperature and exposure-time conditions that lead to causation of a deep-partial thickness burn and the effect that the immediate post-burn thermal environment can have on the process. A computational model has been designed and applied to predict the time required for skin burns to reach a deep-partial thickness level of injury. The model includes multiple tissue layers including the epidermis, dermis, hypodermis, and subcutaneous tissue. ⋯ In addition, injury values were compared with experiment data from the literature to assess verification of the numerical methodology. It was found that the clinical observations of injury extent agreed with the calculated values. Furthermore, inundation with cool water decreased skin temperatures more quickly than the clothing insulating case and led to a modest decrease in the burn extent.
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Several models for predicting mortality have been developed for patients with burns, and the most commonly used are based on age and total body surface area (TBSA%). They often show good predictive precision as depicted by high values for area under the receiver operating characteristic curves (AUC). However the effect of coexisting morbidity on such prediction models has not to our knowledge been thoroughly examined. We hypothesised that adding it to a previously published model (based on age, TBSA%, full thickness burns, gender, and need for mechanical ventilation) would further improve its predictive power. ⋯ Adding coexisting morbidity to a model for prediction of mortality after a burn based on age, TBSA%, and the need for mechanical ventilation did not significantly improve its predictive value. This is probably because coexisting morbidity is automatically adjusted for by age in the original model.