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Objectives: No reliable scores are available to predict mortality following surgery for type A acute aortic dissection (TAAAD). Recently, the German Registry of Acute Aortic Dissection Type A (GERAADA) score has been developed. We aim to compare how the GERAADA score performs in predicting operative mortality for TAAAD to the European System for Cardiac Operative Risk Evaluation (EuroSCORE) II., Methods: We calculated the GERAADA score and EuroSCORE II in patients who underwent TAAAD repair at the Bristol Heart Institute. As there are no precise criteria to calculate the GERAADA score, we used 2 methods: a Clinical-GERAADA score, which evaluated malperfusion with clinical and radiological evidence, and a Radiological-GERAADA score, where malperfusion was assessed by computed tomography scan alone., Results: 207 consecutive patients had surgery for TAAAD, and the observed 30-day mortality was 15%. The Clinical-GERAADA score showed the strongest discriminative power with an area under the curve (AUC) of 0.80 [95% confidence interval (CI) 0.71-0.89], while the Radiological-GERAADA score had an AUC of 0.77 (95% CI 0.67-0.87). EuroSCORE II showed acceptable discriminative power with an AUC of 0.77 (95% CI 0.67-0.87)., Conclusions: Clinical GERAADA score performed better than the other scores and it is specific and easy to use in the context of a TAAAD. Further validation of the new criteria for malperfusion is needed., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.)

Objectives: The most used mortality risk prediction models in cardiac surgery are the European System for Cardiac Operative Risk Evaluation (ES) and Society of Thoracic Surgeons (STS) score. There is no agreement on which score should be considered more accurate nor which score should be utilized in each population subgroup. We sought to provide a thorough quantitative assessment of these 2 models., Methods: We performed a systematic literature review and captured information on discrimination, as quantified by the area under the receiver operator curve (AUC), and calibration, as quantified by the ratio of observed-to-expected mortality (O:E). We performed random effects meta-analysis of the performance of the individual models as well as pairwise comparisons and subgroup analysis by procedure type, time and continent., Results: The ES2 {AUC 0.783 [95% confidence interval (CI) 0.765-0.800]; O:E 1.102 (95% CI 0.943-1.289)} and STS [AUC 0.757 (95% CI 0.727-0.785); O:E 1.111 (95% CI 0.853-1.447)] showed good overall discrimination and calibration. There was no significant difference in the discrimination of the 2 models (difference in AUC -0.016; 95% CI -0.034 to -0.002; P = 0.09). However, the calibration of ES2 showed significant geographical variations (P < 0.001) and a trend towards miscalibration with time (P=0.057). This was not seen with STS., Conclusions: ES2 and STS are reliable predictors of short-term mortality following adult cardiac surgery in the populations from which they were derived. STS may have broader applications when comparing outcomes across continents as compared to ES2., Registration: Prospero (https://www.crd.york.ac.uk/PROSPERO/) CRD42020220983., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery.)

Background: Undernourished patients treated in general surgery departments suffer from prolonged and complicated hospitalizations, and higher mortality rates compared with well nourished patients. Pivotal information regarding patients' nutritional status and its effect on clinical outcome is lacking for cardiac surgery patients. We investigated the prevalence of malnutrition risk and its association with 30-day hospital mortality and postoperative complications., Methods and Results: Four hundred and three patients who underwent cardiac surgery during 2008 and were screened with the Malnutrition Universal Screening Tool (MUST) on admission were enrolled. Univariate and multivariate logistic regression analyses compared the association of high and low risk for malnutrition with length of hospitalization (LOS), in-hospital and 30-day mortality, and postoperative complications. Almost 20% of the patients were found to be at high risk for malnutrition. Univariate analyses revealed higher in-hospital mortality rates (p = 0.03) and greater incidence of LOS and antibiotic treatment longer than 21 days (p = 0.002 and p = 0.04, respectively), vasopressor treatment longer than 11 days (p = 0.02), and positive blood cultures (p = 0.02) in patients belonging to the high-risk MUST group. Incorporation of the MUST in a multivariate model with the European System for Cardiac Operative Risk Evaluation (EuroSCORE) significantly improved postoperative complications prediction, as well as in-hospital and 30-day mortality, compared with the EuroSCORE alone., Conclusions: Malnutrition is prevalent in patients undergoing cardiac surgery, associated with higher postoperative mortality and morbidity. Preoperative MUST screening has emerged as highly relevant for enabling early diagnosis of patients at malnutrition risk, predicting postoperative mortality and morbidity, thus promoting well timed treatment. Prospective studies are needed to explore whether intervention can decrease malnutrition risk.