The preoperative estimation of individual risk in cardiac surgery (CS) is based on
prediction models, such as the European System for Cardiac Operative Risk Evaluation
(EuroSCORE) II [
[1]
], which requires software or internet access to perform their complex calculation.
Most complications are attributable to the harmful effects of cardiopulmonary bypass
(CPB) to blood cells, which are evaluated by routinely performed preoperative complete
blood cell count (CBC-c). Changes in some parameters of CBC-c can increase the mortality
rate by cardiac [
2
,
3
] and no-cardiac [
[4]
] surgery. Some studies in the U.S. previously formulated and validated a CBC Risk
Score (CBC-RS) [
5
,
6
], which strongly predicted the risk of mortality in multiple sets of general medical
patients. It can be automatically calculated using sex, age and CBC-c variables [
[6]
]. We hypothesized that CBC-RS would be an easy, good predictor of in-hospital mortality
and morbidity in patients who underwent CS with CPB.Keywords
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References
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- C-statistics versus logistic regression for assessing the performance of qualitative diagnostic tests.Clin. Chem. Lab. Med. 2012; 50: 73-76
- Evolution of cardiovascular surgery at the Instituto do Coração: analysis of 71,305 surgeries.Arq. Bras. Cardiol. 2010; 94: 174-181
Article info
Publication history
Published online: March 19, 2015
Accepted:
March 17,
2015
Received:
February 25,
2015
Identification
Copyright
© 2015 Elsevier Ireland Ltd. Published by Elsevier Inc. All rights reserved.