Back to Search Start Over

Focusing on a complete blood cell parameter: mean platelet volume levels may be a predictor of coronary slow flow

Authors :
Yılmaz M
Dağlı MN
Uku Ö
Bilen MN
Korkmaz H
Erdem K
Kurtoğlu E
Source :
Vascular Health and Risk Management, Vol Volume 13, Pp 255-261 (2017)
Publication Year :
2017
Publisher :
Dove Medical Press, 2017.

Abstract

Mücahid Yılmaz,1 Mustafa Necati Dağlı,2 Ökkeş Uku,1 Mehmet Nail Bilen,1 Hasan Korkmaz,2 Kenan Erdem,3 Ertuğrul Kurtoğlu1 1Department of Cardiology, Elazığ Education and Research Hospital, 2Department of Cardiology, FIRAT University School of Medicine, Elazığ, 3Department of Cardiology, Sivas Hospital State, Sivas, Turkey Background: The relationship between increased mean platelet volume (MPV) and atherosclerosis is well known. In the present study, MPV in patients with coronary slow flow (CSF) and in cases with normal coronary anatomy (NCA) was investigated and compared with the aim of identifying the relationship between CSF and MPV. Patients and methods: We studied 40 patients previously determined via coronary angiography as having NCA and 40 patients with CSF in the coronary blood stream, as identified by thrombolysis in myocardial infarction square. Thus, a total of 80 patients from the Elaziğ Education and Research Hospital (Elaziğ, Turkey) were included in the present study retrospectively and laboratory and anamnesis information was scanned into their files. The relationship between MPV and CSF was studied. Results: MPV levels were observed to be significantly higher in the CSF group compared to the NCA group (10.05±1.3 and 8.6±0.6, p9.05 measured in CSF patients at application had a predictive specificity of 77.5% and sensitivity of 77.5% for CSF (area under the curve: 0.825, 95% confidence interval [CI]: 0.726–0.924, p

Details

Language :
English
ISSN :
11782048
Volume :
ume 13
Database :
Directory of Open Access Journals
Journal :
Vascular Health and Risk Management
Publication Type :
Academic Journal
Accession number :
edsdoj.6c54ff4d1f264c59b1c64a53c3c76b9d
Document Type :
article