ABSTRACTS
Abstracts voorjaarsvergadering Nederlandse Vereniging voor Thoraxchirurgie (NVT) 18 mei 2001, Mercure Hotel Nieuwegein Preoperative prediction of hospital mortality and morbidity In coronary bypass surgery Wouters S.C.W., Noyez L., Verheugt F.WA., Brouwer RM.H.J. Department of Thoracic and Cardiac Surgery 414, Heart center, University Medical Center St. Radboud, 6500 HB Nijmegen, The
Netherlands. Objective. To construct a scoring system for the prediction of hospital mortality and morbidity (ventilation >3 days, renal, neurological, pulmonary, gastro-intestinal, vascular and sternal woundproblems) in CABG, distinguishing low and high risk patients, useful for monitoring patient care. Methods. 563 patents undergoing a CABG in 1998 served as development dataset, 503 patients operated in 1999 served as validation set. Univariate and logistic regression analysis was used to identify risk factors. A receiver operating characteristic (ROC) curve was used to assess the model. For morbidity score the hospitalization stay ofthe low and high-risk groups were checked. Results. Diabetes, hypertension, renal and lung disease, reoperation, operative status and left ventricular function were predictive variables for morbidity. The area under the ROC curve was 0.73 for the development set and 0.62 for the validation set. With the score system we identified a low risk group of 97 patients with a morbidity rate of 17% and a high-risk group with a morbidity rate of 41%. The mean postoperative hospitalization stay for the low risk group was 7.1 days and 13 days for the high-risk group (p
Abstracts voorjaarsvergadering Nederlandse Vereniging voor Thoraxchirurgie (NVT) 18 mei 2001, Mercure Hotel Nieuwegein Preoperative prediction of hospital mortality and morbidity In coronary bypass surgery Wouters S.C.W., Noyez L., Verheugt F.WA., Brouwer RM.H.J. Department of Thoracic and Cardiac Surgery 414, Heart center, University Medical Center St. Radboud, 6500 HB Nijmegen, The
Netherlands. Objective. To construct a scoring system for the prediction of hospital mortality and morbidity (ventilation >3 days, renal, neurological, pulmonary, gastro-intestinal, vascular and sternal woundproblems) in CABG, distinguishing low and high risk patients, useful for monitoring patient care. Methods. 563 patents undergoing a CABG in 1998 served as development dataset, 503 patients operated in 1999 served as validation set. Univariate and logistic regression analysis was used to identify risk factors. A receiver operating characteristic (ROC) curve was used to assess the model. For morbidity score the hospitalization stay ofthe low and high-risk groups were checked. Results. Diabetes, hypertension, renal and lung disease, reoperation, operative status and left ventricular function were predictive variables for morbidity. The area under the ROC curve was 0.73 for the development set and 0.62 for the validation set. With the score system we identified a low risk group of 97 patients with a morbidity rate of 17% and a high-risk group with a morbidity rate of 41%. The mean postoperative hospitalization stay for the low risk group was 7.1 days and 13 days for the high-risk group (p
