Use of a National Data Base to Assess Perioperative Risk, Morbidity, Mortality, and Cost Savings in Coronary Artery Bypass Grafting

1996 ◽  
Vol 89 (11) ◽  
pp. 1074-1077 ◽  
Author(s):  
DIMITRIS J. NIKAS ◽  
JENNY E. FREEMAN ◽  
ARNOLD R. LUTERMAN ◽  
LOUIS C. WARNKEN ◽  
RICHARD D. NENSTIEL ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Coronary Artery Bypass Grafting ◽  
Data Base ◽  
Coronary Artery Bypass ◽  
Artery Bypass ◽  
Cost Savings ◽  
Perioperative Risk ◽  
Bypass Grafting ◽  
National Data ◽  
Artery Bypass Grafting

Improved Cost-Effectiveness and Blood Product Utilization From Instituting a Blood Ordering Algorithm for Cardiac Surgical Cases

2018 ◽  
Vol 22 (4) ◽  
pp. 353-358 ◽  
Author(s):  
Kelly Ural ◽  
Jay Trusheim ◽  
Yamah Amiri ◽  
Mariella Gastañaduy
Keyword(s):  
Cardiac Surgery ◽  
Coronary Artery ◽  
Coronary Artery Bypass Grafting ◽  
Coronary Artery Bypass ◽  
Artery Bypass ◽  
Cost Savings ◽  
Valve Surgery ◽  
Bypass Grafting ◽  
Artery Bypass Grafting ◽  
The Creation

Background. Results of a previous study revealed an over-ordering of blood products for cardiac surgery and led to the creation of a new blood ordering algorithm. This follow-up study has been conducted to evaluate improvement in ordering practices. Methods. Retrospective data were collected for 171 patients who underwent coronary artery bypass grafting or valve surgery from March 2015 to March 2016 to determine the crossmatch-to-transfusion ratio (C:tx) and potential cost savings. Results were compared with pre-algorithm values and considered statistically significant if the 95% confidence interval did not include zero. Results. Prior to the algorithm, 100% of patients undergoing cardiac surgery were crossmatched. After instituting the algorithm, this decreased to 15%. The overall C:tx decreased from 7.97 to 2.14. Cost savings were calculated as $114.79 (coronary artery bypass grafting) and $129.05 (valve surgery) per patient. Conclusions. The creation of a new algorithm to guide ordering practices has significantly improved the C:tx, reduced unnecessary crossmatching, and lowered costs.

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