Predicting for mortality rate using regression analysis in patient with burn injury
| Autor: | Evgeny Vladimirovich Zinoviev, Oleg O. Zavorotniy, Denis V. Kostyakov |
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| Jazyk: | ruština |
| Rok vydání: | 2021 |
| Předmět: |
Burn injury
medicine.medical_specialty Multivariate statistics RD1-811 030204 cardiovascular system & hematology Logistic regression burn disease 03 medical and health sciences burns 0302 clinical medicine Linear regression medicine Thermal injury business.industry Mortality rate logistic regression pathogenesis Retrospective cohort study Regression analysis General Medicine lethal outcome Emergency medicine 030211 gastroenterology & hepatology Surgery prognosis business |
| Zdroj: | Вестник хирургии имени И.И. Грекова, Vol 179, Iss 5, Pp 21-29 (2021) |
| ISSN: | 0042-4625 |
| Popis: | The objective was to develop a methodology for predicting death in patients with burn injury using regression analysis methods.Methods and Materials. The analysis of the results of treatment of 330 burned with a shock injury, hospitalized in the Department of Anesthesiology and Resuscitation of the Department of Thermal Lesions of Saint-Petersburg I. I. Dzhanelidze research institute of emergency medicine in the period 2013–2019.Results. In the course of the study, 52 indicators were identified that characterized the condition of the victim with burn injury in the dynamics of treatment measures. To build a predictive model, only statistically significant parameters (pConclusion. The use of a multivariate mathematical model made it possible to develop a method for predicting a fatal outcome, taking into account the peculiarities of the pathogenesis of burn disease and the principles of therapeutic measures in the first three days after injury. The use of linear regression analysis using new indicators of thermal injury in a retrospective cohort of 330 patients allowed us to achieve a high predictive value. |
| Databáze: | OpenAIRE |
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