Performance of three preoperative risk indices; CABDEAL, EuroSCORE and Cleveland models in a prospective coronary bypass database

Department of Anaesthesia and Intensive Care Medicine, HUCH, Meilahti Hospital, FIN-00029 HUS, Helsinki, Finland.
European Journal of Cardio-Thoracic Surgery (Impact Factor: 3.3). 04/2002; 21(3):406-10. DOI: 10.1016/S1010-7940(02)00007-6
Source: PubMed


The aim of the present study was to evaluate the performance of three different preoperative risk models in the prediction of postoperative morbidity and mortality in coronary artery bypass (CAB) surgery.
Data on 1132 consecutive CAB patients were prospectively collected, including preoperative risk factors and postoperative morbidity and in-hospital mortality. The preoperative risk models CABDEAL, EuroSCORE and Cleveland model were used to predict morbidity and mortality. A C statistic (receiver operating characteristic (ROC) curve) was used to test the discrimination of these models.
The area under the ROC curve for morbidity was 0.772 for the CABDEAL, 0.694 for the EuroSCORE and 0.686 for the Cleveland model. Major morbidity due to postoperative complications occurred in 268 patients (23.6%). The mortality rate was 3.4% (n=38 patients). The ROC curve areas for prediction of mortality were 0.711 for the CABDEAL, 0.826 for the EuroSCORE and 0.858 for the Cleveland model.
The CABDEAL model was initially developed for the prediction of major morbidity. Thus, it is not surprising that this model evinced the highest predictive value for increased morbidity in this database. Both the Cleveland and the EuroSCORE models were better predictive of mortality. These results have implications for the selection of risk indices for different purposes. The simple additive CABDEAL model can be used as a hand-held model for preoperative estimation of patients' risk of postoperative morbidity, while the EuroSCORE and Cleveland models are to be preferred for the prediction of mortality in a large patient sample.

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    • "Importantly, the additive Euro-Score, an index of co-morbidities that correlates with mortality after cardiothoracic surgery [11], was similar for patients with LOS ≥ 7 (7.9, range 5-13) and LOS ≤ 6 days (8.3, range 6-12). Our finding of a positive association of postoperatively elevated S100A12 and sRAGE plasma concentration with length of hospitalization in adults undergoing non-urgent coronary artery bypass grafting extents earlier studies demonstrating a positive correlation of S100A12 and/or sRAGE with the onset of acute lung injury and adult respiratory distress syndrome [7] [10] [13]. "
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    ABSTRACT: Study's purpose: Plasma levels of soluble receptor for advanced glycation endproducts (sRAGE) and S100A12 are increased in young children after cardiac surgery and correlate with the time spent on cardiopulmonary bypass (CPB). This study was performed to investigate whether plasma levels of sRAGE and S100A12 are affected by the use of CPB. Levels of S100A12 and sRAGE, along with of interleukin-6, tumor necrosis factor-α, myeloperoxidase, and C-reactive protein were measured in 25 adults undergoing non-urgent coronary artery bypass grafting with and without the use of CPB. Significant finding: Plasma levels of S100A12, sRAGE, IL-6, TNF-α and MPO 4h after cardiac surgery were elevated compared to baseline; this increase was equally observed in patients undergoing traditional coronary artery bypass grafting on cardiopulmonary bypass (n = 16), and in patients undergoing robot-assisted coronary artery bypass grafting off pump (OPCAB, n = 9). Patients with prolonged hospitalization of 7 days or longer had significantly higher S100A12 and sRAGE 4 hours post surgery compared to patients hospitalized ≤ 6 days. Increased sRAGE and S100A12 after cardiac surgery is associated with prolonged length of hospitalization in patients after coronary artery bypass grafting; however, we did not observe an intrinsic effect of cardiopulmonary bypass on S100A12 or sRAGE plasma levels in our small pilot study. Further studies are required to confirm the value of sRAGE and S100A12 in predicting postoperative complications after cardiac surgery in a larger study.
    American Journal of Cardiovascular Disease 06/2013; 3(2):85-90.
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    • "Also patients with complications do not necessarily have longer admission times, which introduce considerable variability when attempting to predict hospital cost from preoperative risk-assessment data. The failure of the six risk models tested in predicting costs is not surprising, since they were designed to predict mortality [10-13,22,23]. Thus, development of more accurate morbidity scores may be an option to achieve appropriate financial risk models. "
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    ABSTRACT: Background Preoperative risk stratification models have previously been suggested to predict cardiac surgery unit costs. However, there is a lack of consistency in their reliability in this field. In this study we aim to test the correlation between the values of six commonly known preoperative scoring systems and evaluate their reliability at predicting unit costs of cardiac surgery patients. Methods Over a period of 14 months all consecutive adult patients undergoing cardiac surgery on cardiopulmonary bypass were prospectively classified using six preoperative scoring models (EuroSCORE, Parsonnet, Ontario, French, Pons and CABDEAL). Transplantation patients were the only patients we excluded. Total hospital costs for each patient were calculated independently on a daily basis using the bottom up method. The full unit costs were calculated including preoperative diagnostic tests, operating room cost, disposable materials, drugs, blood components as well as costs for personnel and fixed hospital costs. The correlation between hospital cost and the six models was determined by linear regression analysis. Both Spearman’s and Pearson’s correlation coefficients were calculated from the regression lines. An analysis of residuals was performed to determine the quality of the regression. Results A total of 887 patients were operated on for CABG (n = 608), valve (n = 142), CABG plus valve (n = 100), thoracic aorta (n = 33) and ventricular assist devices (n = 4). Mean age of the patients was 68.3±9.9 years, 27.6% were female. 30-day mortality rate was 4.1%. Correlation between the six models and hospital cost was weak (Pearson’s: r < 0.30; Spearman’s: r < 0.40). Conclusion The risk stratification models in this study are not reliable at predicting total costs of cardiac surgical patients. We therefore do not recommend their use for this purpose.
    Journal of Cardiothoracic Surgery 05/2013; 8(1):126. DOI:10.1186/1749-8090-8-126 · 1.03 Impact Factor
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    • "The model provides an estimate of a patient's anticipated 30-day mortality according to the patient's demographic characteristics, cardiovascular and non-cardiovasculr risk factors, and procedural variables. Its predictive accuracy has previously been validated in a variety of clinical settings [15-17]. However, concerns have been raised about the EuroSCORE's ability to accurately predict outcomes of patients at the extremes of risk and patients undergoing valve surgery [18-22]. "
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    ABSTRACT: The European System for Cardiac Operative Risk Evaluation (EuroSCORE) is a widely used risk assessment tool in patients with severe aortic stenosis to determine operability and to select patients for alternative therapies such as transcatheter aortic valve implantation. The objective of this study was to determine the accuracy of the EuroSCORE in predicting mortality following aortic valve replacement (AVR). The logistic EuroSCORE was determined for all consecutive patients that underwent conventional AVR between 1995 and 2005 at our institution. Provincial Vital Statistics were used to determine all-cause mortality. The accuracy of the prognostic risk prediction provided by logistic EuroSCORE was assessed by comparing observed and expected operative mortality. During the study period, a total of 1,421 patients underwent AVR including 237 patients (16.7%) that had a logistic EuroSCORE > 20. Among these patients, the mean predicted operative mortality was 38.7% (SD = 18.1). The actual mortality of these patients was significantly lower than that predicted by EuroSCORE (11.4% vs. 38.7%, observed/expected ratio 0.29, 95% CI 0.15-0.52, P < 0.05). The EuroSCORE overestimated mortality within all strata of predicted risk. Although medium-term mortality is significantly higher among patients with EuroSCORE > 20 (log rank P = 0.0001), approximately 60% are alive at five years. Actual operative mortality in patients undergoing AVR is significantly lower than that predicted by the logistic EuroSCORE. Additionally, medium-term survival following AVR is acceptable in high-risk patients with EuroSCORE > 20. More accurate risk prediction models are needed for risk-stratifying patients with severe aortic stenosis.
    Journal of Cardiothoracic Surgery 07/2009; 4(1):32. DOI:10.1186/1749-8090-4-32 · 1.03 Impact Factor
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