MATHEMATICAL MODEL OF FORECASTING FOR OUTCOMES IN VICTIMS OF METHANE-COAL MIXTURE EXPLOSION
BACKGROUND. The severity of the victims’ state in the early period after the combined trauma (with the prevalence of a thermal injury) is associated with the development of numerous changes in all organs and systems which make proper diagnosis of complications and estimation of lethal outco...
Main Authors: | , , |
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Format: | Article |
Language: | Russian |
Published: |
Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department
2016-09-01
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Series: | Неотложная медицинская помощь |
Subjects: | |
Online Access: | https://www.jnmp.ru/jour/article/view/294 |
Summary: | BACKGROUND. The severity of the victims’ state in the early period after the combined trauma (with the prevalence of a thermal injury) is associated with the development of numerous changes in all organs and systems which make proper diagnosis of complications and estimation of lethal outcome probability extremely difficult to be performed.MATERIAL AND METHODS. The article presents a mathematical model for predicting lethal outcomes in victims of methanecoal mixture explosion, based on case histories of 220 miners who were treated at the Donetsk Burn Center in 1994–2012.RESULTS. It was revealed that the probability of lethal outcomes in victims of methane-coal mixture explosion was statistically significantly affected with the area of deep burns (p<0.001), and the severe traumatic brain injury (p<0.001). In the probability of lethal outcomes, tactics of surgical treatment for burn wounds in the early hours after the injury was statistically significant (p=0.003). It involves the primary debridement of burn wounds in the period of burn shock with the simultaneous closure of affected surfaces with temporary biological covering.CONCLUSION. These neural network models are easy to practice and may be created for the most common pathologic conditions frequently encountered in clinical practice. |
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ISSN: | 2223-9022 2541-8017 |