ROC analysis of the outcome predictive markers for multiple trauma patients during early posttraumatic period

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dc.contributor.authorStupnytskyi, M.
dc.contributor.authorZhukov, V.
dc.contributor.authorGorbach, T.
dc.contributor.authorBiletskii, O.
dc.contributor.authorKutucu, H.
dc.date.accessioned2024-09-29T16:22:30Z
dc.date.available2024-09-29T16:22:30Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description4th International Conference on Informatics and Data-Driven Medicine, IDDM 2021 -- 19 November 2021 through 21 November 2021 -- Valencia -- 175451en_US
dc.description.abstractReceiver operating characteristic analysis is widely used in biomedical studies for evaluatin the diagnostic accuracy of continuous markers. Continuous status severity evaluation and th accurate prediction of mortality risk for the polytrauma patients is crucial for triage, qualit 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 analysi for determination of lethal outcome predictive markers for multiple trauma patients wit severe thoracic trauma during early posttraumatic period. A single-center prospectiv observational cohort study involved 73 male patients. Patients’ examinations were performe on the 1st-2nd, 3rd-4th and 5th-6th days after trauma. A biochemical assay was conducted fo estimation of biomarkers dynamics during observed posttraumatic period. Receiver operatin characteristic analyses with the areas under receiver operating characteristic curve estimation was performed for the investigated biomarkers with the most significan differences between survivors and non-survivors for each of the time periods. According t Youden’s index the cut-off values of investigated biomarkers with contingency tabl 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 i a useful tool for decision-making in clinical medicine. The clinical example suggests that th same biomarkers and cut-off values cannot be equally useful for lethal outcome predictio for several days in patients with multiple trauma with severe thoracic trauma. Thes additional biomarkers for each of the investigated time periods can serve as criteria for th clinical course monitoring of polytraumatized patients via recognizing of those with a hig risk of lethal outcome for improving the quality of patient care. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)en_US
dc.identifier.endpage268en_US
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-85121268407en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage260en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/10083
dc.identifier.volume3038en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultiple traumaen_US
dc.subjectOutcome predictionen_US
dc.subjectPathophysiology o polytraumaen_US
dc.subjectROC-analysisen_US
dc.subjectThoracic traumaen_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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