Literature DB >> 12379410

Preoperative prediction of early mortality and morbidity in coronary bypass surgery.

Stijn C W Wouters1, Luc Noyez, Freek W A Verheugt, Rene M H J Brouwer.   

Abstract

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.

Entities:  

Mesh:

Year:  2002        PMID: 12379410     DOI: 10.1016/s0967-2109(02)00081-9

Source DB:  PubMed          Journal:  Cardiovasc Surg        ISSN: 0967-2109


  2 in total

1.  Intelligent postoperative morbidity prediction of heart disease using artificial intelligence techniques.

Authors:  Nan-Chen Hsieh; Lun-Ping Hung; Chun-Che Shih; Huan-Chao Keh; Chien-Hui Chan
Journal:  J Med Syst       Date:  2010-12-24       Impact factor: 4.460

2.  Risk score for predicting long-term mortality after coronary artery bypass graft surgery.

Authors:  Chuntao Wu; Fabian T Camacho; Andrew S Wechsler; Stephen Lahey; Alfred T Culliford; Desmond Jordan; Jeffrey P Gold; Robert S D Higgins; Craig R Smith; Edward L Hannan
Journal:  Circulation       Date:  2012-04-30       Impact factor: 29.690

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.