The importance of independent risk-factors for long-term mortality prediction after cardiac surgery

Φόρτωση...
Μικρογραφία εικόνας

Ημερομηνία

Συγγραφείς

Toumpoulis, I. K.
Anagnostopoulos, C. E.
Ioannidis, J. P.
Toumpoulis, S. K.
Chamogeorgakis, T.
Swistel, D. G.
Derose, J. J.

Τίτλος Εφημερίδας

Περιοδικό ISSN

Τίτλος τόμου

Εκδότης

Περίληψη

Τύπος

Είδος δημοσίευσης σε συνέδριο

Είδος περιοδικού

peer-reviewed

Είδος εκπαιδευτικού υλικού

Όνομα συνεδρίου

Όνομα περιοδικού

Eur J Clin Invest

Όνομα βιβλίου

Σειρά βιβλίου

Έκδοση βιβλίου

Συμπληρωματικός/δευτερεύων τίτλος

Περιγραφή

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.

Περιγραφή

Λέξεις-κλειδιά

Cardiac Surgical Procedures/*mortality, Female, Hospital Mortality, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Models, Statistical, Retrospective Studies, Risk Assessment/*methods, Risk Factors

Θεματική κατηγορία

Παραπομπή

Σύνδεσμος

http://www.ncbi.nlm.nih.gov/pubmed/16919041
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

Γλώσσα

en

Εκδίδον τμήμα/τομέας

Όνομα επιβλέποντος

Εξεταστική επιτροπή

Γενική Περιγραφή / Σχόλια

Ίδρυμα και Σχολή/Τμήμα του υποβάλλοντος

Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής

Πίνακας περιεχομένων

Χορηγός

Βιβλιογραφική αναφορά

Ονόματα συντελεστών

Αριθμός σελίδων

Λεπτομέρειες μαθήματος

item.page.endorsement

item.page.review

item.page.supplemented

item.page.referenced