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Publication:
Pre-Operative Predictors of Mortality in Ruptured Abdominal Aortic Aneurysms: Is the Harborview Medical Center Mortality Risk Score Enough

dc.authorscopusid9278687000
dc.authorscopusid56059277400
dc.authorwosidÇalışkan, Fatih/M-1988-2019
dc.authorwosidYücel, Semih Murat/Hpg-3821-2023
dc.contributor.authorYucel, Semih Murat
dc.contributor.authorCaliskan, Fatih
dc.contributor.authorIDYücel, Semih Murat/0000-0002-8077-828X
dc.date.accessioned2025-12-11T01:12:39Z
dc.date.issued2023
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Yucel, Semih Murat] Ondokuz Mayis Univ, Fac Med, Dept Cardiovasc Surg, Samsun, Turkiye; [Caliskan, Fatih] Ondokuz Mayis Univ, Fac Med, Dept Emergency Med, Samsun, Turkiye; [Yucel, Semih Murat] Ondokuz Mayis Univ, Fac Med, Samsun, Turkiyeen_US
dc.descriptionYücel, Semih Murat/0000-0002-8077-828Xen_US
dc.description.abstractBACKGROUND: We aimed to evaluate the reliability of the Harborview Medical Center (HMC) mortality risk scoring system in predicting post-operative in-hospital mortality after open repair (OR) of a ruptured abdominal aortic aneurysm (rAAA) and to investigate the presence of other possible mortality risk factors.METHODS: Patients who underwent OR for rAAA between January 01, 2004, and December 31, 2021, were retrospectively included in this single-center cohort study. The 30-day hospital mortality risk was calculated using the HMC risk scoring system. We assessed the relationship between mortality and other perioperative variables. Logistic regression analysis was performed to determine the factors affecting mortality. Receiver operating characteristic curve analysis was utilized to obtain the predictive value of the HMC mortality risk score.RESULTS: A total of 91 patients were included in this study. A statistically significant difference existed between the patients who survived and those who died. Univariate logistic regression analysis of the pre-operative patient data revealed that the hematocrit, lactate, shock index values, admission type, loss of consciousness, and HMC risk score significantly affected post-operative mortality. However, in the multivariate logistic regression analysis, only the HMC risk score was associated with post-operative mortality (P<0.001). The HMC risk score could predict 30-day mortality, with an AUC of 0.912 for all patients.CONCLUSION: Our study showed that the HMC risk score could reliably predict in-hospital mortality, but it did not reveal any other parameters that further increased the reliability of this scoring system without compromising on its straightforward and practical calculation.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.14744/tjtes.2023.82770
dc.identifier.endpage1268en_US
dc.identifier.issn1306-696X
dc.identifier.issn1307-7945
dc.identifier.issue11en_US
dc.identifier.pmid37889027
dc.identifier.scopus2-s2.0-85175277411
dc.identifier.scopusqualityQ3
dc.identifier.startpage1261en_US
dc.identifier.trdizinid1264633
dc.identifier.urihttps://doi.org/10.14744/tjtes.2023.82770
dc.identifier.urihttps://search.trdizin.gov.tr/en/yayin/detay/1264633/pre-operative-predictors-of-mortality-in-ruptured-abdominal-aortic-aneurysms-is-the-harborview-medical-center-mortality-risk-score-enough
dc.identifier.urihttps://hdl.handle.net/20.500.12712/42041
dc.identifier.volume29en_US
dc.identifier.wosWOS:001096720400008
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherTurkish Assoc Trauma Emergency Surgeryen_US
dc.relation.ispartofUlusal Travma Ve Acil Cerrahi Dergisi-Turkish Journal of Trauma & Emergency Surgeryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAccuracyen_US
dc.subjectMortalityen_US
dc.subjectOpen Repairen_US
dc.subjectRisk Scoreen_US
dc.subjectRuptured Abdominal Aortic Aneurysmen_US
dc.titlePre-Operative Predictors of Mortality in Ruptured Abdominal Aortic Aneurysms: Is the Harborview Medical Center Mortality Risk Score Enoughen_US
dc.typeArticleen_US
dspace.entity.typePublication

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