Abstract

Background

Baseline systemic inflammation is associated with worse long-term outcomes after coronary artery bypass grafting [CABG], but the mechanisms of this association are unclear. This study aims to explore the association between pre-operative white blood cell [WBC] count and CABG graft failure.

Methods

We pooled individual patient data from two randomized clinical trials with systematic CABG graft imaging. The primary analysis was the association between pre-operative WBC count and graft failure, as a continuous variable, at the time of imaging after CABG, using mixed-effects multivariable logistic regression models.

Results

Overall, 910 patients and 2,036 grafts were included in the analysis [1,120 saphenous vein grafts, 828 left internal thoracic arteries, 76 right internal thoracic arteries, and 12 radial arteries]. The median time to imaging was 1.01 [interquartile range (IQR), 0.99;1.03] years and the median pre-operative WBC count was 7.1 [IQR, 6.0;8.4] x 109/L. There was no association between WBC count and graft failure at both the patient and the individual graft level [adjusted odds ratio (aOR) 1.07 (95% confidence interval (CI), 0.98;1.17), p = 0.11 and aOR 1.09 (95% CI, 0.91;1.30), p = 0.37], respectively. When evaluated as a dichotomous variable [≥ 11 vs. < 11 × 109/L] and by quartile, WBC count was not associated with graft failure at the patient and individual graft levels.

Conclusion

In this pooled analysis of individual patient data from two randomized clinical trials, WBC count was not associated with graft failure after CABG. The reported association between inflammation and CABG is likely mediated through other mechanisms, such as native coronary artery disease progression.

Impact on daily practice

The lack of a clear association between WBC count and graft failure suggests that pre-operative WBC count should not be routinely used as a predictor of graft failure after CABG.

Details

Title
Association between white blood cell count and coronary artery bypass graft failure: an individual patient data analysis of clinical trials
Author
An, Kevin R; Sandner, Sigrid; Peper, Joyce; Zhou, Yanzai; ten Berg, Jurrien M; Harik, Lamia; Zhu, Yunpeng; Willemsen, Laura M; Zhao, Qiang; Redfors, Björn; Verma, Subodh; Gaudino, Mario F L
Pages
1-8
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
e-ISSN
1749-8090
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3201887352
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.