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Sequential organ failure assessment score predicts mortality after coronary artery bypass grafting

Overview of attention for article published in BMC Surgery, March 2017
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Title
Sequential organ failure assessment score predicts mortality after coronary artery bypass grafting
Published in
BMC Surgery, March 2017
DOI 10.1186/s12893-017-0219-9
Pubmed ID
Authors

Chih-Hsiang Chang, Shao-Wei Chen, Pei-Chun Fan, Cheng-Chia Lee, Huang-Yu Yang, Su-Wei Chang, Heng-Chih Pan, Feng-Chun Tsai, Chih-Wei Yang, Yung-Chang Chen

Abstract

Mortality after coronary artery bypass grafting (CABG) is generally associated with underlying disease and surgical factors overlooked in preoperative prognostic models. Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE II) scores are widely used in intensive care units for outcome prediction. This study investigated the accuracy of these models in predicting mortality. Between January 2010 and April 2013, 483 patients who underwent isolated CABG were enrolled. The clinical characteristics, outcomes, and prognostic model scores of the patients were collected. Discrimination was assessed using the area under the curve approach. Both SOFA and APACHE II scores were effective for predicting in-hospital mortality. Among the organ systems examined in the SOFA, the cardiac and renal systems were the strongest predictors of CABG mortality. Multivariate analysis identified only the SOFA score as being an independent risk factor for mortality. In summary, the SOFA score can be used to accurately identify mortality after isolated CABG.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Student > Postgraduate 4 16%
Professor > Associate Professor 3 12%
Student > Bachelor 2 8%
Researcher 2 8%
Other 5 20%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 12 48%
Nursing and Health Professions 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 5 20%