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J Cardiothorac Surg ; 12(1): 68, 2017 Aug 09.
Article in English | MEDLINE | ID: mdl-28793899

ABSTRACT

BACKGROUND: The frequency of circulating endothelial cells (CEC) in patients' peripheral blood can be assessed as a direct marker of endothelial damage. However, conventional enumeration methods are extremely challenging. We developed a novel, automated approach to determine CEC frequencies and tested this method on two groups of patients undergoing conventional (CAVR) versus trans-catheter aortic valve implantation (TAVI). METHODS: CEC frequencies were assessed by a flow cytometric approach, including automated pre-enrichment of CD34 positive blood cell subpopulation and isotype controls. The efficacy and reproducibility of the CEC enumeration method was validated by spiking blood samples of healthy control donors with defined numbers of endothelial cells. RESULTS: CEC frequencies were significantly higher in the TAVI group before (9.8 ± 4.1 vs. 5.5 ± 2.2, p = 0.019) and 1 h after surgery (13.4 ± 5.1 vs. 8.2 ± 4.1, p = 0.030) corresponding to higher Euroscore, STS score in higher risk patients from the TAVI group. Five days after surgery, CEC frequencies became significantly higher in the more invasive CAVR group (39.0 ± 13.0 vs. 14.3 ± 4.4, p < 0.001) compared to minimally invasive TAVI approach. CONCLUSIONS: The new flow cytometric approach might be a robust and reliable method for CEC enumeration. Initial results show that CEC frequency is a valid clinical marker for the assessment of pre-operative risk, invasiveness of surgical procedure and clinical outcome. Further studies are necessary to validate the practical clinical usefulness and the potential superiority compared to conventional markers.


Subject(s)
Aortic Valve Stenosis/surgery , Aortic Valve/surgery , Endothelial Cells/pathology , Endothelium, Vascular/pathology , Flow Cytometry/methods , Postoperative Complications/diagnosis , Transcatheter Aortic Valve Replacement , Aged , Aged, 80 and over , Aortic Valve Stenosis/diagnosis , Biomarkers , Cell Count/methods , Female , Humans , Male , Prognosis , Reproducibility of Results
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