Analysis of the Early Posttraumatic Period Pathophysiology in Case of the Severe Combined Thoracic Trauma Using Multivariate Logistic Regression

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dc.authoridKutucu, Hakan/0000-0001-7144-7246
dc.authoridStupnytskyi, Myroslav/0000-0003-2960-1806
dc.contributor.authorStupnytskyi, Myroslav
dc.contributor.authorZhukov, Viktor
dc.contributor.authorGorbach, Tatyana
dc.contributor.authorBiletskii, Oleksii
dc.contributor.authorKutucu, Hakan
dc.date.accessioned2024-09-29T16:12:17Z
dc.date.available2024-09-29T16:12:17Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description2nd International Workshop on Informatics and Data-Driven Medicine (IDDM) -- NOV 11-13, 2019 -- Lviv, UKRAINEen_US
dc.description.abstractSeverely injured patients are always challenging, even more so when they have suffered critical trauma to the chest. The aim of this study is to create a prognostic tool for outcome prediction for patients with combined thoracic trauma based on the determination of main homeostasis parameters on the 1st and 2nd day after injury. Multivariate logistic regression analysis with forward elimination of the variables was used for modeling the dependence of outcome on clinical and laboratory parameters that reflects main pathophysiological mechanisms developed on the 1st and 2nd day after combined thoracic trauma. 73 Male patients with combined thoracic trauma were included in the study. The results of fitting a logistic regression model show the relationship between mortality and six independent variables: transferrin saturation, percentage of eosinophils, TNF-a concentration, total iron binding capacity, inspiratory fraction of oxygen and albumin concentration. Besides that, forward elimination of the variables into the logistic regression equation helps to recognize relatively independent pathophysiological mechanisms involved to progression of wound dystrophy. The likelihood ratio tests can reflect the contribution degree of each pathogenesis rout responsible for the negative outcomes of the severe combined thoracic trauma. The study contributes to our understanding of interaction between pathophysiological mechanisms that make harmful effects and are involved in the progression of wound dystrophy and compensatory reactions directed on stabilization of vital function disturbances and maintenance of homeostasis during this type of wound dystrophy.en_US
dc.description.sponsorshipLviv Polytechn Natl Univ,Danylo Halytsky Lviv State Med Univ,Zaporozhye Natl Tech Univen_US
dc.identifier.endpage339en_US
dc.identifier.issn1613-0073
dc.identifier.startpage330en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8662
dc.identifier.volume2488en_US
dc.identifier.wosWOS:000546007300029en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRwth Aachenen_US
dc.relation.ispartofProceedings of the 2nd International Workshop On Informatics & Data-Driven Medicine (Iddm 2019): Vol 1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCombined thoracic traumaen_US
dc.subjectMultivariate logistic regressionen_US
dc.subjectOutcome predictionen_US
dc.subjectPathophysiologic mechanisms of polytraumaen_US
dc.titleAnalysis of the Early Posttraumatic Period Pathophysiology in Case of the Severe Combined Thoracic Trauma Using Multivariate Logistic Regressionen_US
dc.typeConference Objecten_US

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