Leukocyte subtypes and adverse clinical outcomes in patients with acute ischemic cerebrovascular events

Anxin Wang1,2, Kehua Quan1,2, Xue Tian1,2

  • 1China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Insights

Different white blood cell subtypes impact outcomes after ischemic stroke and TIA. Higher neutrophils and monocytes increase risk, while lymphocytes and eosinophils may offer protection, aiding outcome prediction.

Area of Science:

  • Neurology
  • Hematology
  • Clinical Research

Background:

  • Investigating the prognostic significance of leukocyte subtypes in acute ischemic cerebrovascular events.
  • Examining associations with adverse clinical outcomes like death, recurrent stroke, and poor functional status.

Purpose of the Study:

  • To determine if leukocyte subtype effects on adverse outcomes differ in patients with ischemic stroke and transient ischemic attack (TIA).
  • To assess the incremental predictive value of leukocyte subtypes beyond conventional risk factors.

Main Methods:

  • Utilized data from the Third China National Stroke Registry (CNSR-III) including 14,174 patients.
  • Analyzed leukocyte subtype counts and percentages within 24 hours of admission, using quartile-based risk assessments.
  • Calculated hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs), and employed C statistics, IDI, and NRI for predictive value evaluation.

Main Results:

  • Elevated risks of adverse outcomes were linked to higher counts of leukocytes, neutrophils, and monocytes.
  • Conversely, increased lymphocyte and eosinophil counts correlated with reduced risks.
  • Basophil counts showed no significant correlation with adverse outcomes, though percentages of subtypes were also associated with outcomes.

Conclusions:

  • Leukocyte subtypes exhibit distinct relationships with 3-month and 1-year adverse clinical outcomes in acute ischemic cerebrovascular events.
  • These subtypes offer a slight improvement in predictive value when added to conventional risk models.
Abstract

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