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A prospective study of the determinants of vein graft flow velocity: Implications for graft surveillance
Affiliation:1. Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN;2. Surgical Outcomes Program, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN;1. Department of Pathology, Yale University School of Medicine, New Haven, Connecticut;2. Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut;3. Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut;4. Department of Pediatric Hematology/Oncology, Yale University School of Medicine, New Haven, Connecticut;1. Center for Health and Aging, Veterans Affairs Medical Center, 50 Irving Street NW, Washington, DC 20422, USA;2. MedStar Heart and Vascular Institute, Georgetown University/MedStar Washington Hospital Center, 110 Irving Street NW, Washington, DC 20010, USA;3. Department of Geriatrics and Cardiovascular Medicine, Baylor College of Medicine, 1200 Binz Street, Suite 1470, Houston, TX, 77004, USA;4. Department of Medicine, University of Alabama at Birmingham, 933 19th Street South, CH19 201, Birmingham, AL 35294, USA;5. Department of Medicine, George Washington University, 2150 Pennsylvania Avenue, NW, Suite 8-416, Washington, DC 20037, USA;6. Department of Cardiology, Veterans Affairs Medical Center, 50 Irving Street NW, Washington, DC 20422, USA;1. Heart Research Follow-Up Group, University of Rochester School of Medicine, Rochester, New York;2. Rabin Medical Center, Petah Tikva, Israel;3. Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel;4. Sheba Medical Center, Tel-Aviv University, Tel-Aviv, Israel;1. Division of Vascular and Endovascular Surgery, Department of Surgery, University of Texas Health Science Center at San Antonio, University Hospital System, San Antonio, Tex;2. Division of Vascular and Endovascular Surgery, Department of Surgery, University of Vermont College of Medicine, Burlington, Vt;3. Division of Vascular and Endovascular Surgery, Department of Surgery, University of New England College of Osteopathic Medicine, Eastern Maine Medical Center, Bangor, Me;4. Division of Vascular Disease and Therapy, Department of Surgery, Ohio State University Wexner Medical Center, Columbus, Ohio
Abstract:Purpose: Serial monitoring of vein graft peak systolic flow velocity (PSFV) has been endorsed as a technique for vein graft surveillance with low values (<45 cm/sec) considered a marker for impending graft failure. Optimal application of this method requires an understanding of the factors affecting PSFV in normal grafts. A prospective evaluation of 46 consecutive elective infrainguinal vein grafts (6 popliteal/29 tibial/11 pedal) was undertaken to assess the major determinants of PSFV.Methods: Factors recorded for each patient included vein graft diameter (VGD), measured outflow resistance (MOR), conduit length, outflow level (popliteal/tibial/pedal), inflow level (femoral/popliteal), systolic blood pressure, cardiac ejection fraction, the presence of a patent plantar arch, and Society for Vascular Surgery/International Society for Cardiovascular Surgery resistance scoring. MOR was measured by occluding graft inflow and infusing saline solution through a proximal graft cannula at 60 cc/min while simultaneously recording the pressure at the distal anastomosis via a separate cannula. MOR was calculated by dividing the resultant pressure by the infusion rate. MORs were expressed in resistance units and were measured before and after the infusion of papaverine (MOR(PAP)). PSFVs and VGDs were measured 4 to 6 cm from the distal anastomosis 3 weeks after surgery with duplex scanning (60 degree angle with midstream sample volume).Results: PSFVs ranged from 22 to 148 cm/sec and averaged 83.4 ± 4.8 cm/sec. Pedal bypass grafts had significantly lower PSFVs (64 ± 10 vs 89.5 ± 5 cm/sec, p = 0.02) and significantly higher MOR(PAP)s (0.86 ± 0.15 vs 0.51 ± 0.05 resistance units, p = 0.05) than bypasses to the popliteal/tibial level. When subjected to univariate analysis the factors correlating with PSFV were MOR (r = -0.59, p = 0.0001), MOR(PAP) (r = -0.69, p = 0.0001) VGD (r = -0.31, p = 0.06), the Society for Vascular Surgery/International Society for Cardiovascular Surgery score (r = -0.35, p = 0.04), inflow level (r = -0.47, p = 0.002), and outflow level (r = -0.35, p = 0.03). When subjected to multiple regression analysis, only MOR(PAP) (r 2 = 0.51, p = 0.001) and VGD (r 2 = 0.14, p =0.001) contributed significantly to the overall model (r 2 = 0.65, p = 0.0001) withMOR(PAP)) eliminating the effect of the other variables. The multiple regression model predicts PSFV as follows: PSFV = 176 + VGD(mm)( -11.7) + MOR(PAP))( -63.4).Conclusions: Clinically successful and hemodynamically normal vein grafts have widely variable, yet predictable flow characteristics that are influenced primarily by outflow resistance and VGD. This wide variability suggests that no single lower threshold value for PSFV is universally applicable in identifying all grafts at risk for failure. Detection of focal areas of flow acceleration within the graft may be more accurate in identifying grafts at risk for failure. (J VASC SURG 1994;19:259-67.)
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