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J Thorac Cardiovasc Surg 2006;131:734-735
© 2006 The American Association for Thoracic Surgery

Brief Communication

Risk-scoring methods for prediction of postoperative stroke after coronary artery bypass surgery

Olli-Pekka Kangasniemi, MS, Johannes Luukkonen, MS, Fausto Biancari, MD, PhD * , Enrico Leo, MD, Sailaritta Vuorisalo, MD, PhD, Risto Pokela, MD, PhD, Tatu Juvonen, MD, PhD

Division of Cardio-thoracic and Vascular Surgery, Department of Surgery, Oulu University Hospital, Oulu, Finland

Received for publication August 19, 2005; revisions received September 12, 2005; accepted for publication September 28, 2005.

* Address for reprints: Fausto Biancari, MD, PhD, Division of Cardio-thoracic and Vascular Surgery, Department of Surgery, Oulu University Hospital, PO Box 21, 90029 Oulu, Finland (Email: faustobiancari@yahoo.it).

The first 20% of the full text of this article appears below.

Two simple risk-scoring methods for prediction of stroke after coronary artery bypass grafting (CABG) have been derived by the Northern New England Cardiovascular Disease Study Group (NNECVDSG) 1 Go and the Multicenter Study of Perioperative Ischemia (McSPI) Research Group. 2 Go We have evaluated them in a series of patients who underwent isolated on-pump CABG.

Clinical Summary

From January 1992 to December 1993, 1098 patients undergoing isolated on-pump CABG were considered for prospective studies evaluating antibiotic prophylaxis strategies. 3 Go The records of these patients were retrospectively reviewed to retrieve the variables included in the NNECVDSG and McSPI stroke risk-scoring methods, and we were able to calculate the above-mentioned scores in 928 patients (Table 1). Causes of late death have been obtained from a national registry (Tilastokeskus).


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  		TABLE 1. Preoperative risk factors
 
Statistical analysis was performed with SPSS statistical software (version 10.0.5; SPSS Inc, Chicago, Ill). The Fisher exact test and the Mann-Whitney test were used for univariate analysis. Receiver operating characteristics (ROC) curves were used for identification of the best cutoff value of continuous variables in predicting postoperative adverse . . . [Full Text of this Article]




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