The importance of independent risk-factors for long-term mortality prediction after cardiac surgery
| dc.contributor.author | Toumpoulis, I. K. | en |
| dc.contributor.author | Anagnostopoulos, C. E. | en |
| dc.contributor.author | Ioannidis, J. P. | en |
| dc.contributor.author | Toumpoulis, S. K. | en |
| dc.contributor.author | Chamogeorgakis, T. | en |
| dc.contributor.author | Swistel, D. G. | en |
| dc.contributor.author | Derose, J. J. | en |
| dc.date.accessioned | 2015-11-24T19:41:02Z | |
| dc.date.available | 2015-11-24T19:41:02Z | |
| dc.identifier.issn | 0014-2972 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/24436 | |
| dc.rights | Default Licence | - |
| dc.subject | Cardiac Surgical Procedures/*mortality | en |
| dc.subject | Female | en |
| dc.subject | Hospital Mortality | en |
| dc.subject | Humans | en |
| dc.subject | Kaplan-Meier Estimate | en |
| dc.subject | Male | en |
| dc.subject | Middle Aged | en |
| dc.subject | Models, Statistical | en |
| dc.subject | Retrospective Studies | en |
| dc.subject | Risk Assessment/*methods | en |
| dc.subject | Risk Factors | en |
| dc.title | The importance of independent risk-factors for long-term mortality prediction after cardiac surgery | en |
| heal.abstract | The 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.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1111/j.1365-2362.2006.01703.x | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/16919041 | - |
| heal.identifier.secondary | http://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.journalName | Eur J Clin Invest | en |
| heal.journalType | peer-reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2006 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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