ObjectivesEpidemiological differences can be found between Brazilian and European valvular heart disease patients. The prevalence of heart valve diseases due to rheumatic disease is significantly higher in the Brazilian compared with the European population. Therefore, they could have different risks during and after cardiac surgery. The aim of this study was to evaluate the applicability of the additive and logistic EuroSCORE and EuroSCORE II in a cohort of high-risk patients with valvular heart disease of predominantly rheumatic aetiology submitted to surgery.MethodsBetween 1 February and 30 December 2009, 540 consecutive patients scheduled for valvular heart surgery were included in this study. In this set of patients, we examined the performance of the additive, logistic, and EuroSCORE II models for predicting in-hospital mortality. Calibration of each model was assessed by comparing predicted and observed in-hospital mortality and by the goodness of fit of the Hosmer-Lemeshow chi-square test. Discrimination performance of the model was evaluated with the receiver operating characteristic (ROC) curve analysis.ResultsThe mean age was 56 ± 16 years, 50.6% were female, and the mortality rate was 16.0% (6.0% in elective surgery and 34.0% in emergency/urgency surgery). Mortality rates were estimated according to the additive and logistic EuroSCORE and EuroSCORE II at 6.1%, 8.7%, and 4.3%, respectively. The AUC was 0.76 (95% confidence interval [95% CI] 0.70–0.81) for the additive EuroSCORE, 0.76 (95% CI 0.70–0.81) for the logistic EuroSCORE and 0.81 (95% CI 0.76–0.86) for EuroSCORE II. Hosmer-Lemeshow goodness-of-fit statistics were P = 0.52, P = 0.07, and P = 0.12 for additive, logistic EuroSCORE, and EuroSCORE II.ConclusionsIn this cohort of Brazilian patients with valvular heart disease submitted to surgical procedure, the EuroSCORE models had a good discriminatory capacity; however, the calibration was compromised because of an underestimation of the mortality rate.
<b><i>Background:</i></b> Acute kidney injury (AKI) has shown to adversely affect outcomes in patients undergoing transcutaneous aortic valve replacement (TAVR), and its correct risk estimation may interfere in procedural planning and strategies. The aim of the study was to test and compare 6 scores in predicting AKI after TAVR. <b><i>Methods:</i></b> We tested 6 scores (the contrast material limit score, volume-to-creatinine clearance ratio, ACEF, CR4EATME3AD3, Mehran model A, and Mehran model B) in a total of 559 consecutive patients included in the Brazilian TAVR registry. <b><i>Results:</i></b> All scores had a poor accuracy and calibration to predict the occurrence of AKI grade 1 or 2. All scores improved the accuracy of AKI risk prediction when stratified for AKI grade 2/3 and AKI grade 3 for all scores. The CR4EATME3AD3 was the best predictor of AKI stage 2/3 (AUC: 0.62; OR: 1.12; 95% CI 1.01–1.26; <i>p</i> = 0.04) and AKI stage 3 (AUC: 0.64; OR: 1.16; 95% CI 1.02–1.32; <i>p</i> = 0.02). Mehran models A and B were both good models for AKI stage 3 (AUC: 0.63; OR: 1.10; 95% CI 1.01–1.22; <i>p</i> = 0.05; and AUC: 0.62; OR: 1.10; 95% CI 1.00–1.21; <i>p</i> = 0.05, respectively). <b><i>Conclusions:</i></b> None of the current models demonstrated validity in detecting AKI when its lower grades were evaluated. CR4EATME3AD3 was the best score in predicting moderate to severe AKI after TAVR. These findings suggest that contrast-induced AKI may not be the only factor related to kidney injury after TAVR.
Background Chronic kidney disease (CKD) is common among patients undergoing transcatheter aortic valve replacement (TAVR). The prognosis of CKD on TAVR outcomes has been previously documented. However, there is a paucity of data about predictors of renal function improvement and its clinical relevance. Purpose To determine predictors of renal function improvement after TAVR among patients with CKD. Methods Prospective study, analyzing 819 patients from 22 centers with symptomatic severe aortic stenosis included in the Brazilian TAVR Registry between 2008 and 2015. CKD was defined as estimated glomerular filtration rate (eGFR) <60mg/dL, and patients without CKD were excluded. Groups were divided according to variation of eGFR between baseline and 7 days after TAVR: improvement (increase >10% in eGFR) in 197 (34.1%) patients, worsening (decrease >10% in eGFR) in 203 (35.2%), and stable (neither criteria) in 177 (30.7%). Logistic regression analysis was used to identify predictors of renal function improvement. One-year outcomes were determined as Kaplan-Meier survival curves. Results CKD was present in 577 (70%) patients. The mean age was 81.9±6.8 years, 56.2% were male, 31.7% had diabetes and 74.5% had hypertension. The mean STS score was 10.6±7.9%, the mean EuroSCORE II were 21.8±15.2% and the preferable access site was transfemoral (93.4%). The mean eGFR was 37.3±12.5 ml/min in the improvement group (IG), 39.6±11.7 ml/min in the stable group (SG) and 40.2±12.3 ml/min in the worsening group (WG), with significant statistical difference between IG and WG (p=0.044). There was no difference related to contrast midia volume between the 3 groups. In the multivariate analysis, coronary artery disease (OR: 0.69; 95% CI 0.48–0.98; p=0.039) and baseline eGFR (OR: 0.98; 95% CI 0.97–1.00; p=0.039) were associated with improvement in renal function. There was no significant difference in 1-year all-cause mortality between IG and SG (15.4 vs 9.5%, log rank p=0.141) (Figure 1A). However, the WG had higher mortality compared with the IG (29.3 vs 15.4%, log rank p<0,001) (Figure 1B). Figure 1 Conclusion Improvement in renal function after TAVR was frequently found among patients with CKD. The absence of coronary artery disease and lower baseline eGFR were independent predictors of improvement in renal function. Although the IG had lower 1-year all-cause mortality compared to WG, no difference were observed related to SG. Acknowledgement/Funding SBHCI
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