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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Mean platelet volume: an important predictor of coronary collateral development
Meltem Refiker Ege1, Savas Acıkgoz, Ali Zorlu
1Kavaklidere Umut Hospital, Clinic of Cardiology, Ankara, Turkey. drmeltemege@yahoo.com.tr
Platelets
|June 1, 2012
Summary
Mean platelet volume (MPV) is a simple predictor of inadequate coronary collateral development (CCD) in patients with coronary artery disease (CAD). Higher MPV levels indicate poorer collateral circulation, offering a cost-effective tool for risk assessment.
Area of Science:
- Cardiology
- Vascular Biology
- Biomarkers
Background:
- Coronary artery disease (CAD) triggers the development of collateral circulation, which is crucial for mitigating infarct size and improving outcomes.
- Significant patient-to-patient variability exists in coronary collateral development (CCD), necessitating reliable predictors of its extent.
Purpose of the Study:
- To investigate the association between mean platelet volume (MPV), a marker of platelet activation, and the degree of coronary collateral circulation in patients with significant CAD.
Main Methods:
- A study included 210 patients undergoing coronary angiography with stenosis ≥50%.
- MPV levels were analyzed from blood samples, and collateral vessels were graded using the Rentrop classification.
- Statistical analyses, including univariate and multivariate logistic regression, were performed to identify predictors of poor CCD.
Main Results:
- 150 out of 210 patients exhibited inadequate CCD.
- Patients with inadequate CCD had significantly higher MPV levels (11.3 ± 1.0 fl vs. 9.5 ± 1.5 fl) and lower Gensini scores.
- MPV and Gensini score were identified as independent predictors of impaired CCD in multivariate analysis.
Conclusions:
- Mean platelet volume (MPV) is a simple, cost-effective, and valuable tool for predicting inadequate coronary collateral development in patients with significant CAD.
- An MPV cut-off value of >9.6 fl demonstrated high sensitivity (96%) and positive predictive value (84.7%) for identifying inadequate CCD.
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