Predictive model of blood transfusion during CABG surgery in Pakistan.
OBJECTIVE
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.


METHODS
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.


RESULTS
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.


CONCLUSIONS
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.
Shoukat
Sana
S
Faculty of Health Sciences, Aga Khan University, Karachi.
Gowani
Saqib A
SA
Khimani
Farhad
F
Khan
Faraz A
FA
Zaman
Mohammad
M
Sharif
Hasanat
H
D001803:Blood Transfusion / Q000379:methods*; D001026:Coronary Artery Bypass / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D008962:Models, Theoretical; D010154:Pakistan; D011237:Predictive Value of Tests; D012189:Retrospective Studies