Preprocedural white blood cell count and death after percutaneous coronary intervention

Am Heart J. 2003 Oct;146(4):692-8. doi: 10.1016/S0002-8703(03)00230-8.


Background: Elevated inflammatory markers are associated with worse outcome after percutaneous coronary artery interventions (PCI). An elevation in the white blood cell (WBC) count is a nonspecific response to inflammation. We hypothesized that an elevated WBC count would be a predictor of death in patients undergoing PCI.

Methods: A total of 4450 patients undergoing percutaneous coronary artery intervention were divided into quintiles, based on their preprocedural WBC count (mean WBC count: quintile 1, 5.08 x 10(3)/muL; quintile 2, 6.58 x 10(3)/muL; quintile 3, 7.70 x 10(3)/muL; quintile 4, 9.14 x 10(3)/muL; and quintile 5, 13.4 x 10(3)/muL). Vital status was assessed through the use of the Social Security Death Index.

Results: There were a total of 504 deaths over a follow-up period of 48 months. The best survival was seen in quintile 2, with an increase in long-term mortality rates seen with both a higher or a lower WBC count (P <.001). This J-shaped curve was preserved after multivariate adjustment, with the adjusted hazard ratio of mortality relative to quintile 2 being 1.95 (95% CI, 1.40 to 2.73) in quintile 1, 1.66 (95% CI, 1.18 to 2.33) in quintile 3, 2.31 (95% CI, 1.67 to 3.17) in quintile 4, and 2.42 (95% CI, 1.76 to 3.34) in quintile 5.

Conclusions: A low or an elevated preprocedural WBC count in patients undergoing PCI is associated with an increased risk of long-term death. Our result provides further evidence to support the important role of inflammation in coronary artery disease.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Angioplasty, Balloon, Coronary / mortality*
  • Biomarkers / blood
  • Cause of Death
  • Coronary Artery Disease / blood*
  • Coronary Artery Disease / mortality*
  • Coronary Artery Disease / therapy
  • Female
  • Humans
  • Leukocyte Count*
  • Male
  • Middle Aged
  • Prospective Studies
  • Risk Factors
  • Survival Rate


  • Biomarkers