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Published on: March 27, 2018
Predictors of excessive blood use after coronary artery bypass grafting. A multivariate analysis
1Department of Surgery, Letterman Army Medical Center, Presidio of San Francisco, Calif. 94129-6700.
Insights
Preoperative bleeding time and red blood cell volume predict excessive red blood cell transfusion needs in coronary artery bypass grafting patients. A nomogram aids in identifying patients likely to require more than 5 units of packed red blood cells.
Area of Science:
- Cardiology
- Transfusion Medicine
- Surgical Outcomes
Background:
- Coronary artery bypass grafting (CABG) frequently requires packed red blood cell (PRBC) transfusion.
- Predicting excessive PRBC transfusion is crucial for optimizing patient management and resource allocation.
Purpose of the Study:
- To identify clinical and laboratory predictors of excessive postoperative PRBC transfusion in CABG patients.
- To develop a predictive model for identifying patients likely to require >5 units of PRBCs.
Main Methods:
- Retrospective analysis of 159 consecutive CABG patients.
- Comparison of patient variables between those receiving ≤5 units (Group I) and >5 units (Group II) of PRBCs.
- Stepwise logistic regression analysis to identify significant predictors.
Main Results:
- Longer preoperative bleeding time and lower preoperative packed red blood cell volume were significant predictors of excessive transfusion (p<0.0008).
- Older age, prior heparin therapy, and female sex were also associated with increased transfusion needs.
- A predictive model incorporating bleeding time and red blood cell volume demonstrated high sensitivity (99%) and specificity (85%) for predicting >5 unit PRBC use.
Conclusions:
- Preoperative bleeding time and red blood cell volume are robust predictors of excessive postoperative PRBC transfusion in CABG patients.
- A developed nomogram provides a clinical tool to estimate the likelihood of requiring >5 units of PRBCs.
- Factors beyond aspirin therapy may contribute to bleeding time prolongation and excessive transfusion needs.
Abstract:
One hundred fifty-nine consecutive patients who underwent coronary artery bypass grafting were studied to determine clinical and laboratory predictors of excessive postoperative packed red blood cell transfusion. Consideration of the distribution of packed red blood cells administered revealed that the patients could be divided into two groups: those patients who received 5 units of red blood cells or less (group I, n = 139) and those patients who received more than 5 units of packed red blood cells (group II, n = 20). The Mann-Whitney test or Fisher's exact test was used whenever appropriate to test differences between these two groups with respect to twelve patient variables. Patients in group II were found to have a significantly longer preoperative template bleeding time and decreased preoperative packed red blood cell volume (p less than 0.0008 for both variables). In addition, group II patients were significantly older (p = 0.026), were more likely to have had preoperative heparin therapy (p = 0.049), and contained a greater proportion of women (p = 0.0048). Of interest, variables that did not achieve statistical significance between groups were partial thromboplastin time, prothrombin time, platelet count, preoperative hematocrit level, urgency of operation, recent ingestion of aspirin, and recent heparin administration. All of the measured variables were used in a stepwise logistic regression analysis to identify the best predictors of the need for more than 5 units of packed red blood cells after operation. Of the variables examined, bleeding time (p less than 0.001; chi 2 improvement = 15.1) and red blood cell volume (p = 0.009; chi 2 improvement = 6.8) were the best predictors of excessive postoperative packed red blood cell use. On the basis of a 50% logistic probability level, the specificity and sensitivity of these two variables in predicting greater than a 5-unit transfusion requirement were 85% and 99%, respectively. A clinically useful nomogram based on this logistic model is presented. This nomogram suggests that a ratio of bleeding time to red blood cell volume of 0.0071 or greater is associated with a greater than 70% chance of requiring more than 5 units of packed red blood cells. We conclude that preoperative bleeding time and red blood cell volume are useful predictors of excessive postoperative blood transfusion. These results suggest that factors other than aspirin therapy may be associated with bleeding time prolongation leading to excessive postoperative transfusion.
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