ROC Analysis of the Outcome Predictive Markers for Multiple Trauma Patients during Early Posttraumatic Period

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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.accessioned2024-09-29T16:12:20Z
dc.date.available2024-09-29T16:12:20Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description4th International Conference on Informatics and Data-Driven Medicine (IDDM) -- NOV 19-21, 2021 -- Polytechn Univ Valencia, ELECTR NETWORKen_US
dc.description.abstractReceiver operating characteristic analysis is widely used in biomedical studies for evaluating the diagnostic accuracy of continuous markers. Continuous status severity evaluation and the accurate prediction of mortality risk for the polytrauma patients is crucial for triage, quality management, assessment of mortality prediction and the scientific study of trauma. The aim of this study is to investigate the possibility of the receiver operating characteristic analysis for determination of lethal outcome predictive markers for multiple trauma patients with severe thoracic trauma during early posttraumatic period. A single-center prospective observational cohort study involved 73 male patients. Patients' examinations were performed on the 1st-2nd, 3rd-4th and 5th-6th days after trauma. A biochemical assay was conducted for estimation of biomarkers dynamics during observed posttraumatic period. Receiver operating characteristic analyses with the areas under receiver operating characteristic curves estimation was performed for the investigated biomarkers with the most significant differences between survivors and non-survivors for each of the time periods. According to Youden's index the cut-off values of investigated biomarkers with contingency table statistics were calculated as possible predictive tests for negative outcomes during the first 5-6 days after trauma. This study demonstrates that receiver operating characteristic analysis is a useful tool for decision-making in clinical medicine. The clinical example suggests that the same biomarkers and cut-off values cannot be equally useful for lethal outcome prediction for several days in patients with multiple trauma with severe thoracic trauma. These additional biomarkers for each of the investigated time periods can serve as criteria for the clinical course monitoring of polytraumatized patients via recognizing of those with a high risk of lethal outcome for improving the quality of patient care.en_US
dc.description.sponsorshipLviv Polytechn Natl Univ,Danylo Halytsky Lviv Natl Med Univ,Zaporizhzhia Polytechn Natl Univen_US
dc.identifier.endpage268en_US
dc.identifier.issn1613-0073
dc.identifier.startpage260en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8695
dc.identifier.volume3038en_US
dc.identifier.wosWOS:000770795000026en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherRwth Aachenen_US
dc.relation.ispartofIddm 2021: Informatics & Data-Driven Medicine: Proceedings of the 4th International Conference On Informatics & Data-Driven Medicine (Iddm 2021)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultiple traumaen_US
dc.subjectThoracic traumaen_US
dc.subjectROC-analysisen_US
dc.subjectOutcome predictionen_US
dc.subjectPathophysiology of polytraumaen_US
dc.titleROC Analysis of the Outcome Predictive Markers for Multiple Trauma Patients during Early Posttraumatic Perioden_US
dc.typeConference Objecten_US

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