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Acta Biomedica Scientia

Volume 4, Issue 3, 2017
Mcmed International
Acta Biomedica Scientia
Issn
2348 - 215X (Print), 2348 - 2168 (Online)
Frequency
bi-annual
Email
editorabs@mcmed.us
Journal Home page
http://mcmed.us/journal/abs
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Abstract
Title
TO STUDY BLOOD COUNT PARAMETERS CAN PREDICT THE SEVERITY OF CORONARY ARTERY DISEASE
Author
Rashmi Kunder, Kollimarla Sriram
Email
drpebyreddy@gmail.com
keyword
Neutrophil to lymphocyte ratio; Mean platelet volume; Gensini score; Coronary artery disease
Abstract
Coronary artery disease (CAD) is the leading cause of death worldwide. CAD is an inflammatory, progres sive disease and atherosclerosis has a pivotal role in the etiology. The aim of this study was to investigate the relationships between some prominently hematologic blood count parameters (mean platelet volume [MPV], neutrophil to lymphocyte ratio [NLR]) and the severity of CAD by using Gensini scores. A total of 194 patients, who had undergone coronary ngiography, enrolled in this study. The control group consisted of 42 patients who had normal coronary arteries. Remaining CAD patients were divided into two groups accord ing to their Gensini scores. NLR and MPV were higher in the severe atherosclerosis group compared with the mild atherosclerosis group (p = 0.007, p = 0.005, respectively). The Gensini score showed significant correlations with NLR (r = 0.20, p = 0.011), MPV (r = 0.23,p = 0.004) and high density lipoprotein cholesterol (r = –0.161, p = 0.047). Using a cut-off level of 2.54, NLR predicted severe atherosclerosis with a sensitivity of 74% and specificity of 53% (area under curve [AUC], 0.627; 95% confidence interval [CI],0.545 to 0.704; p = 0.004). Our study suggests that both NLR and MPV are predictors of severe atherosclerosis and may be used for the prediction and identification of cardiac risks in CAD patients
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