Introduction:

Post-surgical complications have been a significant cause of death. Therefore, the use of easy preoperative mortality predictors is recommended. A new SASA score could indicate a perioperative risk more globally at 30-days of the postoperative period applied in a Mexican sample.

Material and methods:

371 patients were analyzed. We explore an association between the American Society of Anesthesiologists physical status classification (ASA-PS), the surgical Apgar score (sAs), and the new SASA score to assess 30-days mortality after surgery using univariate analysis to estimate the odds ratio (OR). Receiver-operating-characteristic (ROC) curves were plotted for each scale.

Results:

We obtained values of two; [sensitivity; 81.82% (95% CI: 48.2-97.72), specificity; 40.56% (95% CI: 35.44-45.83)] 6; [sensitivity; 81.82% (95% CI: 48.2-97.72), specificity; 77.5% (95% CI: 72.83-81.71)] and 10; [sensitivity; 81.82% (95% CI: 48.2-97.72), specificity; 83.6% (95% CI: 78.77-86.78)] as the best cut-off points for ASA-PS, sAs and SASA respectively.

Conclusions:

To predict postoperative 30-days mortality, SASA calculation as a new score obtained the same sensitivity but better specificity and area under the curve (AUC) for the ROC compared with the ASA-PS and the sAs.