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  4. Τμήμα Ιατρικής
  5. Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ
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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/24436
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dc.contributor.authorToumpoulis, I. K.en
dc.contributor.authorAnagnostopoulos, C. E.en
dc.contributor.authorIoannidis, J. P.en
dc.contributor.authorToumpoulis, S. K.en
dc.contributor.authorChamogeorgakis, T.en
dc.contributor.authorSwistel, D. G.en
dc.contributor.authorDerose, J. J.en
dc.date.accessioned2015-11-24T19:41:02Z-
dc.date.available2015-11-24T19:41:02Z-
dc.identifier.issn0014-2972-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/24436-
dc.rightsDefault Licence-
dc.subjectCardiac Surgical Procedures/*mortalityen
dc.subjectFemaleen
dc.subjectHospital Mortalityen
dc.subjectHumansen
dc.subjectKaplan-Meier Estimateen
dc.subjectMaleen
dc.subjectMiddle Ageden
dc.subjectModels, Statisticalen
dc.subjectRetrospective Studiesen
dc.subjectRisk Assessment/*methodsen
dc.subjectRisk Factorsen
dc.titleThe importance of independent risk-factors for long-term mortality prediction after cardiac surgeryen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1111/j.1365-2362.2006.01703.x-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/16919041-
heal.identifier.secondaryhttp://onlinelibrary.wiley.com/store/10.1111/j.1365-2362.2006.01703.x/asset/j.1365-2362.2006.01703.x.pdf?v=1&t=h0jeinx1&s=c481ea69f53659fb8614e77a90a8c3ad3a370f3a-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate2006-
heal.abstractThe purpose of the present study was to determine independent predictors for long-term mortality after cardiac surgery. The European System for Cardiac Operative Risk Evaluation (EuroSCORE) was developed to score in-hospital mortality and recent studies have shown its ability to predict long-term mortality as well. We compared forecasts based on EuroSCORE with other models based on independent predictors. Medical records of patients with cardiac surgery who were discharged alive (n = 4852) were retrospectively reviewed. Their operative surgical risks were calculated according to EuroSCORE. Patients were randomly divided into two groups: training dataset (n = 3233) and validation dataset (n = 1619). Long-term survival data (mean follow-up 5.1 years) were obtained from the National Death Index. We compared four models: standard EuroSCORE (M1); logistic EuroSCORE (M2); M2 and other preoperative, intra-operative and post-operative selected variables (M3); and selected variables only (M4). M3 and M4 were determined with multivariable Cox regression analysis using the training dataset. The estimated five-year survival rates of the quartiles in compared models in the validation dataset were: 94.5%, 87.8%, 77.1%, 64.9% for M1; 95.1%, 88.0%, 80.5%, 64.4% for M2; 93.4%, 89.4%, 80.8%, 64.1% for M3; and 95.8%, 90.9%, 81.0%, 59.9% for M4. In the four models, the odds of death in the highest-risk quartile was 8.4-, 8.5-, 9.4- and 15.6-fold higher, respectively, than the odds of death in the lowest-risk quartile (P < 0.0001 for all). EuroSCORE is a good predictor of long-term mortality after cardiac surgery. We developed and validated a model using selected preoperative, intra-operative and post-operative variables that has better discriminatory ability.en
heal.journalNameEur J Clin Investen
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
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