The Relationship Between the Severity of Coronary Artery Disease and Erythrocyte Morphology Parameters Measured by New-Generation Hematology Analyzer.

Author:

Yasak Ibrahin Halil1ORCID,Tascanov Mustafa Begenc2ORCID,Gönel Ataman3ORCID,Seyhanli Eyyup Sabri1ORCID

Affiliation:

1. Department of Emergency Medicine, Harran University Medicine Faculty, Sanliurfa, Turkey

2. Department of Cardiology, Harran University Medicine Faculty, Sanliurfa, Turkey

3. Department of Medicinal Biochemistry, Harran University Medicine Faculty, Sanliurfa, Turkey

Abstract

Background: There is a possible relation between red blood cell distribution width (RDW) and various clinical conditions. These conditions can render RDW disadvantageous in its relation with cardiovascular disease. There may be a relation between the severity of acute coronary syndrome (ACS) and the percentage of hypochromia (hypo%), percentage of hyperchromia (hyper%), percentage of macrocytosis (MAC%), and percentage of microcytosis (MIC%) values measured using new-generation hematological devices. Objective: We aimed to examine the relation between the SYNTAX score and the hypo%, hyper%, MAC%, and MIC% values in patients admitted with ACS. Method: A group of 55 patients who underwent coronary angiography with diagnosis of ACS (STEMI and NSTEMI) and a control group of 48 patients with normal coronary arteries were included in the study. Venous blood samples were collected in the morning after a fasting of at least 8 h and analyzed using standard laboratory methods. Hemogram parameters were studied using Alinity HQ (Abbott, USA) a completely automated hemogram autoanalyzer. Biochemical parameters were studied using Architect c16000 (Abbott, USA) a completely automated biochemistry autoanalyzer. Results: Significant difference was observed in erythrocyte morphology-related tests (mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, RDW, hypo%, hyper%, MIC%, and MAC%) between the groups. Correlation analysis showed a positive correlation between the SYNTAX score and MAC% (r = 0.315, p = 0.019). Multivariate logistic regression analysis was performed for MAC% to identify the independent predictors of the SYNTAX score (β = 0.315, p = 0.019). Conclusion: Changes in MAC% test can be measured in emergencies with new-generation hematological devices and used as independent predictors of presence of severe coronary artery disease.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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