Results: Frequency of acute kidney injury after cardiac surgery was 3.7% in the cohort used to validate the Cleveland score and 3.8% in the cohort used to validate the Toronto score. Discrimination of both models was excellent, with values for the areas under the receiving operator characteristics curves of 0.86 (95% confidence interval 0.81 to 0.9) and 0.82 (95% confidence interval 0.76 to 0.87), respectively. Calibration was poor, with underestimation of the risk for acute kidney injury except for patients within the very-low-risk category. The performance of both models clearly improved after recalibration.Conclusions: Both models were found to be very useful to discriminate between patients who will and will not develop acute kidney injury after cardiac surgery; however, before using the scores to estimate risk probabilities at a specific center, recalibration may be needed.

Half of all cases of IE in patients with CHD occurred in patients with non-corrected native-valve CHD and two-thirds were community-acquired. Streptococcus spp. were the most frequent etiological agents. Patients with prosthetic-valve IE present a worse outcome, especially those requiring surgery. Breakthrough bacteremia, nosocomial IE, and heart failure are independent factors of mortality in patients with CHD presenting IE.

When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged < 65 years(p < 0.001) for both in-hospital and 1-year mortality. Conclusion: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the < 65-year group.