OBJECTIVES

To develop a multivariate predictive risk score of perioperative in-hospital stroke after coronary artery bypass grafting (CABG) surgery.

METHOD

A total of 26 347 patients were enrolled from 21 Spanish hospital databases. Logistic regression analysis was used to predict the risk of perioperative stroke (ictus or transient ischaemic attack). The predictive scale was developed from a training set of data and validated by an independent test set, both selected randomly. The assessment of the accuracy of prediction was related to the area under the ROC curve. The variables considered were: preoperative (age, gender, diabetes mellitus, arterial hypertension, previous stroke, cardiac failure and/or left ventricular ejection fraction<40%, non-elective priority of surgery, extracardiac arteriopathy, chronic kidney failure and/or creatininemia≥2 mg/dl and atrial fibrillation) and intraoperative (on/off-pump).

RESULTS

Global perioperative stroke incidence was 1.38%. Non-elective priority of surgery (priority; OR=2.32), vascular disease (arteriopathy; OR=1.37), cardiac failure (cardiac; OR=3.64) and chronic kidney failure (kidney; OR=6.78) were found to be independent risk factors for perioperative stroke in uni- and multivariate models in the training set of data; P<0.0001; AUC=0.77, 95% CI 0.73-0.82. The PACK2 stroke CABG score was established with 1 point for each item, except for chronic kidney failure with 2 points (range 0-5 points); AUC=0.76, 95% CI 0.72-0.80. In patients with PACK2 score≥2 points, off-pump reduced perioperative stoke incidence by 2.3% when compared with on-pump CABG.

CONCLUSIONS

PACK2 risk scale shows good predictive accuracy in the data analysed and could be useful in clinical practice for decision making and patient selection.