Predictive model of blood transfusion during CABG surgery in Pakistan
Shoukat, S.; Gowani, S.A.; Khimani, F.; Khan, F.A.; Zaman, M.; Sharif, H.
Jpma. Journal of the Pakistan Medical Association 58(8): 421-426
2008
ISSN/ISBN: 0030-9982 PMID: 18822637 Document Number: 619549
To determine predictors of need for transfusion of blood and blood products and create a clinical predictive model to reduce indiscriminate use of blood products during surgery. We conducted a retrospective chart review of 485 patients who underwent coronary artery bypass surgery from January 2004 to December 2004 at a Tertiary Care Hospital in Karachi, Pakistan. Independent predictors associated with transfusion were identified and a clinical prediction model developed. The transfusion rate was 37.1%. A predictive model was created based on the presence of pulmonary disease, diabetes mellitus, low ejection fraction and recent/ongoing myocardial infarction. The study identifies some predictors of need for blood transfusion in patients undergoing Coronary Artery Bypass Grafting. However, prospective studies with a larger sample of patients are needed to determine other predictors and their applicability in patient selection across institutions.