Title |
Potential biomarkers for predicting outcomes in CABG cardiothoracic surgeries
|
---|---|
Published in |
Journal of Cardiothoracic Surgery, July 2013
|
DOI | 10.1186/1749-8090-8-176 |
Pubmed ID | |
Authors |
Isabel Preeshagul, Rajendra Gharbaran, Kyung Hwa Jeong, Ahmed Abdel-Razek, Leonard Y Lee, Elie Elman, K Stephen Suh |
Abstract |
The variations in recovery time, complications, and survival among cardiac patients who have undergone coronary artery bypass graft (CABG) procedures are vast. Many formulas and theories are used to predict clinical outcome and recovery time, and current prognostic predictions are based on medical and family history, lifestyle, co-morbidities, and performance status. The identification of biomarkers that provide concrete evidence supporting clinical outcome has greatly affected the field of medicine, helping clinicians in many medicine sub-specialties to forecast clinical course. Recent studies have discovered biomarkers that may be used as predictors of cardiac patients' status post-cardiothoracic surgery, and the applications are numerous. In this review, we assess currently available cardiac biomarkers as predictors of clinical outcome for post-operative CABG patients. Data were collected from various studies in which cardiac biomarkers were measured in pre-operative and post-operative CABG patients. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Unknown | 45 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 20% |
Student > Postgraduate | 8 | 17% |
Student > Bachelor | 8 | 17% |
Professor > Associate Professor | 5 | 11% |
Other | 3 | 7% |
Other | 7 | 15% |
Unknown | 6 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 39% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Nursing and Health Professions | 4 | 9% |
Agricultural and Biological Sciences | 3 | 7% |
Business, Management and Accounting | 2 | 4% |
Other | 6 | 13% |
Unknown | 8 | 17% |