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13 March 2014 : Original article  

Assessment of the relationship between red cell distribution width and fragmented QRS in patients with non-ST elevated acute coronary syndrome

Adem BeklerABCDEFG, Emine GaziCDF, Erhan TenekeciogluDF, Kemal KaraagacFG, Burak AltunCD, Ahmet TemizDEG, Ahmet BarutçuEG, Tezcan PekerB, Burhan AslanB, Mustafa YılmazABF

DOI: 10.12659/MSM.890151

Med Sci Monit 2014; 20:413-419

Abstract

BACKGROUND: Red cell distribution width (RDW) and fragmented QRS (fQRS) complexes have also been reported to be pre­dictors of cardiac events and all-cause mortality in coronary artery disease (CAD). We aimed to investigate the association of serum red cell distribution width (RDW) levels and fQRS in patients with non-ST elevated acute coronary syndrome (NST-ACS).

MATERIAL AND METHODS: We retrospectively evaluated a total of 251 patients (191 men and 60 women) with NST-ACS. The NST-ACS consisted of unstable angina (UA) and non-ST elevated myocardial infarction (NSTEMI). The fQRS pattern was defined as the presence of an additional R’ or crochetage wave, notching in the nadir of the S wave or fragmentation of the RS or QS complexes in 2 contiguous leads corresponding to a major coronary artery territory. The relationships between the RDW and fQRS were assessed.

RESULTS: The patients in the fQRS group were older, left ventricular ejection fraction (LVEF) levels were significantly lower, and baseline RDW and troponin levels were significantly higher than in the group without fQRS. There were positive correlations between age, number of coronary arteries narrowed, and RDW, and negative correlations between triglyceride, LVEF, and RDW in study patients. There were positive correlations between number of fQRS leads, age, and RDW, and negative correlations between triglyceride, LVEF, and RDW in NSTEMI patients.

CONCLUSIONS: Our results indicate that an elevated RDW values is associated with fQRS in NST-ACS. Elevated RDW values and fQRS together may be useful for identifying NSTEMI patients in NST-ACS.

Keywords: Acute Coronary Syndrome - physiopathology, Aged, 80 and over, Electrocardiography, Erythrocyte Indices, Multivariate Analysis, Myocardial Infarction - physiopathology, Regression Analysis

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750