Preoperative prediction of early mortality and morbidity in coronary bypass surgery
| Autor: | Stijn C.W Wouters, Rene M.H.J. Brouwer, Freek W.A. Verheugt, Luc Noyez |
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| Rok vydání: | 2002 |
| Předmět: |
Male
medicine.medical_specialty Scoring system Cross-sectional study Pulmonary disease Logistic regression Risk Factors Diabetes mellitus Internal medicine Humans Medicine Radiology Nuclear Medicine and imaging Hospital Mortality Coronary Artery Bypass Aged Netherlands Aged 80 and over Heartfunction and circulation business.industry Length of Stay Middle Aged Prognosis medicine.disease Cross-Sectional Studies Logistic Models ROC Curve Bypass surgery Hartfunctie en circulatie Lung disease Cardiology Female Surgery Morbidity Predictive variables Cardiology and Cardiovascular Medicine business Follow-Up Studies |
| Zdroj: | Cardiovascular Surgery, 10, 500-5 Cardiovascular Surgery, 10, 5, pp. 500-5 |
| ISSN: | 0967-2109 |
| DOI: | 10.1016/s0967-2109(02)00081-9 |
| Popis: | Objective. A scoring system to predict early mortality and morbidity in CABG, distinguishing low and high risk patients. Methods. 563 patients (1998) served as development dataset, 969 patients as validation set. Univariate and logistic regression analysis was used to identify risk factors. Results. Gender, hypertension, pulmonary disease, reoperation, age. operative status and left-ventricular function were predictive variables for early mortality. The area under the ROC curve was 0.81. We identified a low risk, mortality of 1.8% and a high-risk group, mortality of 13.4%. Diabetes, hypertension, kidney and lung disease, reoperation, operative status and left ventricular function were predictive variables for morbidity. The area under the ROC curve was 0.73. We identified a low risk, morbidity of 17%, and a high-risk group, morbidity of 41%. Conclusion. This scoring system is a simple system identifying a low and high-risk group for morbidity and early mortality. |
| Databáze: | OpenAIRE |
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