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Record W3133870264 · doi:10.1016/j.xjtc.2021.02.038

Commentary: Intraoperative graft patency assessment: Just do it!

2021· editorial· en· W3133870264 on OpenAlex
Derrick Y. Tam, Stephen E. Fremes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJTCVS Techniques · 2021
Typeeditorial
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGeneral surgery

Abstract

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Central MessageSystematic transit time flowmetry of grafts is recommended to complement thorough clinical evaluation, although surgical judgment is essential before graft revision, as false positives can occur.See Article page 131. Systematic transit time flowmetry of grafts is recommended to complement thorough clinical evaluation, although surgical judgment is essential before graft revision, as false positives can occur. See Article page 131. Drs Akhrass and Bakaeen1Akhrass R. Bakaeen F.G. Intraoperative graft patency validation: friend or foe?.J Thorac Cardiovasc Surg Tech. 2021; 7: 131-137Scopus (2) Google Scholar provided an informative summary and expert surgeon's overview of the benefits and potential risks of intraoperative graft assessment for coronary bypass graft surgery. The early and late outcomes of coronary bypass surgery are contingent on the reproducible construction of fully patent anastomoses with quality conduits to important coronary targets. The authors have reviewed the key tools used to assess graft patency intraoperatively. We agree with the authors that transit time flowmetry (TTFM), particularly when combined with epicardial ultrasound (ECUS), provides the surgeon with reassurance of graft functionality. TTFM is a Class IIa recommendation in the 2018 European Revascularization Guidelines.2Neumann F.J. Sousa-Uva M. Ahlsson A. Alfonso F. Banning A.P. Benedetto U. et al.ESC Scientific Document Group2018 ESC/EACTS guidelines on myocardial revascularization.Eur Heart J. 2019; 4: 87-165Crossref Scopus (2903) Google Scholar The use of flowmetry is not a substitute for comprehensive clinical assessment and technical precision but is meant to supplement clinical assessment and uncompromising execution. However, a common observation is that intraoperative graft failure, while infrequent, may be unheralded and without other clinical cues. Given the controversy surrounding the EXCEL trial, the prognostic importance of perioperative myocardial infarction has been questioned.3Stone G.W. Kappetein A.P. Sabik J.F. Pocock S.J. Morice M.C. Puskas J. et al.EXCEL Trial InvestigatorsFive-year outcomes after PCI or CABG for left main coronary disease.N Engl J Med. 2019; 381: 1820-1830Crossref PubMed Scopus (325) Google Scholar Yet, it is well accepted that clinically defined perioperative myocardial infarction is not a benign event and is commonly associated with graft occlusion. Biancari and colleagues,4Biancari F. Anttila V. Dell'Aquila A.M. Airaksinen J.K.E. Brascia D. Control angiography for perioperative myocardial Ischemia after coronary surgery: meta-analysis.J Cardiothorac Surg. 2018; 13: 24Crossref PubMed Scopus (12) Google Scholar in a meta-analysis of 9 studies of 1104 patients with perioperative myocardial infarction, reported early mortality was 12.6%. Graft failure was present in 62% of patients taken to the catheterization laboratory and in 79.8% of patients taken directly back to the operating room without angiography. The evidence supporting the practice is largely observational. In the only randomized trial comparing TTFM with indocyanine green fluorescent angiography (ICG), the sensitivity to detect 50% graft stenosis or occlusion was far greater with ICG (83% vs 25%) according to early postoperative angiography—as nonocclusive stenoses may not result in flow disturbances.5Desai N.D. Miwa S. Kodama D. Koyama T. Cohen G. Pelletier M.P. et al.A randomized comparison of intraoperative indocyanine green angiography and transit-time flow measurement to detect technical errors in coronary bypass grafts.J Thorac Cardiovasc Surg. 2006; 132: 585-594Abstract Full Text Full Text PDF PubMed Scopus (111) Google Scholar Also, when ICG and TTFM were compared with usual care in a later randomized controlled trial that was likely underpowered, intraoperative graft assessment was not associated with improved graft patency at 1 year; however, graft stenosis alone was numerically lower (3/160, 5.5% vs 8/152, 15.4%, P = .09).6Singh S.K. Desai N.D. Chikazawa G. Tsuneyoshi H. Vincent J. Zagorski B.M. et al.The Graft Imaging to Improve Patency (GRIIP) clinical trial results.J Thorac Cardiovasc Surg. 2010; 139: 294-301.e1Abstract Full Text Full Text PDF PubMed Scopus (38) Google Scholar In a meta-analysis of 35 TTFM studies (almost entirely observational) including 8943 patients and 15,673 grafts, graft revision on a per-patient basis was 4.3% and 2.0% on a per-graft basis.7Thuijs D.J.F.M. Bekker M.W.A. Taggart D.P. Kappetein A.P. Kieser T.M. Wendt D. et al.Improving coronary artery bypass grafting: a systematic review and meta-analysis on the impact of adopting transit-time flow measurement.Eur J Cardiothorac Surg. 2019; 56: 654-663Crossref PubMed Scopus (29) Google Scholar However, graft revision was performed in only 25.1% of abnormal grafts, indicating the importance of combining TTFM with clinical judgment. Abnormal TTFM results were associated with graft occlusion and worse short-term clinical outcomes.7Thuijs D.J.F.M. Bekker M.W.A. Taggart D.P. Kappetein A.P. Kieser T.M. Wendt D. et al.Improving coronary artery bypass grafting: a systematic review and meta-analysis on the impact of adopting transit-time flow measurement.Eur J Cardiothorac Surg. 2019; 56: 654-663Crossref PubMed Scopus (29) Google Scholar The authors caution that falsely positive findings can be seen in certain patient scenarios leading to unnecessary graft revision, which, in turn, may then lead to patient harm. We concur with the authors that ECUS is complementary to TTFM, mainly in the identification of TTFM false positives. Di Giammarco and associates8Di Giammarco G. Canosa C. Foschi M. Rabozzi R. Marinelli D. Masuyama S. et al.Intraoperative graft verification in coronary surgery: increased diagnostic accuracy adding high-resolution epicardial ultrasonography to transit-time flow measurement.Eur J Cardiothorac Surg. 2014; 45: e41-e45Crossref PubMed Scopus (50) Google Scholar reported in a consecutive patient series including 717 grafts analyzed with both TTFM and ECUS that ECUS identified only 3 of 678 (0.4%) TTFM false negatives but determined that 35 of 39 TTFM positive grafts were false positives. Durable graft patency is necessary for favorable long-term outcomes following coronary surgery. There is considerable evidence that conduit is the key driver.9Gaudino M. Benedetto U. Fremes S. Biondi-Zoccai G. Sedrakyan A. Puskas J.D. et al.RADIAL InvestigatorsRadial-artery or saphenous-vein grafts in coronary-artery bypass surgery.N Engl J Med. 2018; 378: 2069-2077Crossref PubMed Scopus (297) Google Scholar, 10Lamy A. Eikelboom J. Sheth T. Connolly S. Bosch J. Fox K.A.A. et al.Rivaroxaban, aspirin, or both to prevent early coronary bypass graft occlusion: the COMPASS-CABG study.J Am Coll Cardiol. 2019; 73: 121-130Crossref PubMed Scopus (49) Google Scholar, 11Gaudino M. Hameed I. Robinson N.B. Ruan Y. Rahouma M. Naik A. et al.Angiographic patency of coronary artery bypass conduits: a network meta-analysis of randomized trials.J Am Heart Assoc. 2021; 10: e019206Crossref PubMed Scopus (16) Google Scholar That said, quality assurance is imperative. One of the potential limitations of the methodology is the number of false positives from TTFM alone. It is essential that TTFM findings are not used in isolation but are combined with careful clinical assessment. However, poor decision-making may result from a lack of familiarity with the technology and the reporting. That speaks to the importance to routinely check graft patency intraoperatively, ie, just do it! Intraoperative graft patency validation: Friend or foe?JTCVS TechniquesVol. 7PreviewIt is estimated that 3% to 5% of internal thoracic artery (ITA) and 20% of saphenous vein grafts (SVGs) fail at 1 year, frequently attributed to technical issues.1 The PREVENT IV (Project of Ex-vivo Vein Graft Engineering via Transfection) trial reported a 30% vein graft failure rate at 1 year, most without a major adverse cardiac event.2 Full-Text PDF Open Access

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.375
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it