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The relationship between stroke mortality and red blood cell parameters.
Hamidreza Hatamian1, Alia Saberi1, Matin Pourghasem2
1Department of Neurology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Iranian Journal of Neurology
|January 30, 2015
Summary
Red blood cell (RBC) count and mean corpuscular volume (MCV) predict short-term mortality in ischemic stroke patients. Lower RBC counts and MCV are associated with increased risk, aiding in risk stratification for stroke outcomes.
Area of Science:
- Neurology
- Hematology
- Clinical Medicine
Background:
- Ischemic stroke outcomes are influenced by various factors.
- Understanding predictors of mortality is crucial for patient management.
Purpose of the Study:
- To determine the relationship between red blood cell (RBC) parameters and mortality in patients with ischemic stroke.
- To identify RBC count and mean corpuscular volume (MCV) as potential predictors of short-term stroke mortality.
Main Methods:
- A cross-sectional study involving 98 ischemic stroke patients in the middle cerebral artery (MCA) territory.
- Analysis of cell blood count, including RBC count and MCV.
- Statistical analysis using logistic regression and ROC curve to assess mortality predictors.
Main Results:
- 67.3% of patients were anemic.
- Logistic regression identified RBC count and MCV as independent predictors of 1st week and 1st month mortality.
- Established optimal cutoff points for RBC count in predicting short-term mortality.
Conclusions:
- Red blood cell count and MCV are significant independent predictors of short-term mortality following ischemic stroke.
- These hematological parameters can aid in the early identification of high-risk stroke patients.
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