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Published on: January 28, 2020
Predictive value of white blood cell subtypes for long-term outcome following myocardial infarction
Robert Dragu1, Shafik Huri1, Robert Zukermann1
1Department of Cardiology, Rambam Medical Center and the Bruce Rappaport Faculty of Medicine, Haifa, Israel.
Insights
Elevated neutrophil counts are the strongest predictor of mortality in acute myocardial infarction (AMI) patients. This finding highlights neutrophils as key biomarkers for adverse outcomes in AMI.
Area of Science:
- Cardiology
- Hematology
- Clinical Pathology
Background:
- Elevated total white blood cell (WBC) count is linked to increased mortality in acute coronary syndromes.
- The specific leukocyte subset that best predicts adverse outcomes remains unclear.
Purpose of the Study:
- To investigate the predictive value of distinct white blood cell (WBC) subtypes for long-term mortality in patients with acute myocardial infarction (AMI).
Main Methods:
- Prospective study of 1037 AMI patients.
- Baseline measurements included total WBC, neutrophil, monocyte, and lymphocyte counts, and high-sensitivity C-reactive protein (CRP).
- Long-term mortality was assessed over a median follow-up of 23 months.
Main Results:
- Independently, elevated neutrophil counts (upper quartile) were strong predictors of mortality (HR 2.7).
- Neutrophil count improved predictive models incorporating total WBC, monocyte, or lymphocyte counts.
- Neutrophil count remained a significant predictor after adjusting for left ventricular systolic function and CRP.
Conclusions:
- Elevated neutrophil count is the strongest correlate of mortality among WBC subtypes in AMI patients.
- Neutrophil count offers additive prognostic value when used alongside CRP levels.
Introduction:
Elevation of total white blood cells (WBC) count is associated with higher mortality in patients with acute coronary syndromes. However, it is unknown which specific subset of leukocytes best correlates with increased risk of adverse outcome.
Methods And Results:
We prospectively studied the predictive value of WBC subtypes for long-term outcome in 1037 patients with acute myocardial infarction (AMI). Total WBC, neutrophil, monocyte and lymphocyte counts, and high-sensitivity C-reactive protein (CRP) were obtained in each patient. The median duration of follow up was 23 months (range, 6-42 months). Analyzed separately, baseline total WBC (HR 2.2, 95% CI 1.5-3.3; P<0.0001), neutrophil (HR 2.7, 95% CI 1.8-4.1; P<0.0001) and monocyte (HR 1.9, 95% CI 1.3-2.8; P=0.001) counts in the upper quartile, and lymphocyte count in the lower quartile (HR 1.5, 95% CI 1.1-2.3; P=0.03), were all independent predictors of mortality. Comparing nested models, adding other WBC data failed to improve model based on neutrophil count. In contrast, adding neutrophil count to the models based on total WBC (P=0.01), on monocyte count (P<0.0001) or on lymphocyte count (P<0.0001) improved the prediction of the models. Neutrophil count in the upper quartile (>or=9800 microL(-1)) remained a strong independent predictor of mortality after adjustment for left ventricular systolic function and for CRP (HR 2.2, 95% CI 1.6-3.0; P<0.0001).
Conclusion:
Of all WBC subtypes, elevated neutrophil count best correlates with mortality in patients with AMI. Neutrophil count provides additive prognostic information when combined with CRP.
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