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Cut-off values for transit time flowmetry: are the revision criteria appropriate?
Dai Une1, Saswata Deb, Genta Chikazawa
1Division of Cardiac Surgery, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
Transit time flowmetry (TTF) can identify non-functional grafts during coronary artery bypass grafting (CABG). However, specific TTF values did not improve one-year saphenous vein graft (SVG) patency or clinical outcomes in this study.
Area of Science:
- Cardiovascular Surgery
- Vascular Surgery
- Surgical Technology
Background:
- Previous studies, including the GRIIP trial, found no improvement in one-year graft patency after coronary artery bypass grafting (CABG) using intraoperative graft assessment with transit time flowmetry (TTF) and intraoperative fluorescent angiography.
- The utility of TTF in predicting saphenous vein graft (SVG) failure and clinical outcomes requires further investigation.
Purpose of the Study:
- To determine if specific TTF values are more predictive of SVG failure and/or major adverse cardiac events (MACE) at one year post-CABG.
- To re-evaluate the predictive value of TTF in the context of SVG patency and clinical outcomes.
Main Methods:
- Retrospective case-control study analyzing 65 SVGs from 44 patients previously enrolled in the GRIIP trial.
- Outcomes assessed included graft patency at 12 months and MACE (death, myocardial infarction, repeat revascularization).
Main Results:
- Mean TTF flow was a significant predictor of one-year SVG failure (AUC=0.698, p<0.01), with 31 mL/min identified as the optimal cutoff value.
- Grafts with mean flow <31 mL/min had a 50% occlusion rate versus 21.6% for grafts with mean flow ≥31 mL/min.
- Mean flow predicted early SVG failure (OR 0.95 [0.91-0.99] per mL/min, p=0.014), but TTF values did not predict MACE.
Conclusions:
- Intraoperative TTF can identify non-functional grafts during CABG.
- The value of TTF in improving one-year graft patency remains questionable, as specific thresholds did not consistently predict outcomes.
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