Significance of white blood cell count and its subtypes in patients with acute coronary syndrome

Eur J Clin Invest. 2009 May;39(5):348-58. doi: 10.1111/j.1365-2362.2009.02107.x.

Abstract

Background: Inflammation plays a role in the pathogenesis of coronary atherosclerosis.

Materials and methods: Six hundred twenty-three patients with acute coronary syndrome (ACS) referred for coronary angiography for the first time in our hospital were enrolled in this study. White blood cell and its subtypes were measured on admission. The study population was divided into three groups based on total white blood cell count and followed up. Clinical end points were major adverse cardiac events (MACEs), including cardiogenic death, stroke, heart failure, non-fatal myocardial infarction, rehospitalization for angina pectoris.

Results: The median age was 68 years (range 31-92) and 64.2% of the patients were men. The median white blood cell count was 6.48 x 10(9 )L(-1) (range 2.34-27.10 x 10(9 )L(-1)). The median follow-up duration was 21 months (range 1-116) and MACEs occurred in 167 patients. The multivariable Cox proportional hazards regression model revealed that neutrophil count [Relative risk = 1.098, 95% Confidence interval (CI): 1.010-1.193, P = 0.029) was a risk factor for MACEs. The logistic regression model revealed that lymphocyte count [Odds ratio (OR) = 1.075, 95% CI: 1.012-1.142, P = 0.018] and monocyte count (OR = 8.578, 95% CI: 2.687-27.381, P < 0.001) were predictive of stenosis >or= 75%; Neutrophil proportion (OR = 1.060, 95% CI: 1.007-1.115, P = 0.026), monocyte count (OR = 12.370, 95% CI: 1.298-118.761, P = 0.029) were predictive of the presence of multivessel disease. Kaplan-Meier analysis of short-term and long-term cumulative survival showed no significant statistical differences among three groups.

Conclusions: Neutrophil count adds prognostic information to MACEs in ACS. Monocyte count and lymphocyte count are predictive of severity of coronary atherosclerosis.

MeSH terms

  • Acute Coronary Syndrome / blood*
  • Acute Coronary Syndrome / physiopathology
  • Aged
  • Aged, 80 and over
  • Female
  • Humans
  • Leukocyte Count
  • Leukocytes / physiology*
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Risk Factors
  • Time Factors