Predicting early graft patency using transit-time flow measurement in internal thoracic artery-based composite

Min-Seok Kim1,2, Cheol Ho Lee1, Seong Wook Hwang1

  • 1Cardiovascular Center, Myongji Hospital, Gyeonggi-do, Republic of Korea.

JTCVS Open
|August 16, 2026
PubMed

Insights

Transit-time flow measurement (TTFM) effectively predicts early graft patency after coronary artery bypass grafting (CABG) using internal thoracic artery (ITA)-based composite grafts. Intraoperative TTFM parameters accurately identify graft performance, ensuring better patient outcomes.

Area of Science:

  • Cardiovascular Surgery
  • Vascular Surgery
  • Surgical Technology

Background:

  • Coronary artery bypass grafting (CABG) relies on graft patency for success.
  • Assessing graft function intraoperatively is crucial for preventing early graft failure.
  • Internal thoracic artery (ITA)-based composite grafts are commonly used in CABG.

Purpose of the Study:

  • To evaluate the predictive performance of intraoperative transit-time flow measurement (TTFM) parameters.
  • To determine if TTFM can predict early graft patency after in situ ITA-based composite CABG.
  • To establish optimal TTFM cutoff values for assessing graft flow categories.

Main Methods:

  • A cohort of 274 patients undergoing isolated CABG with in situ ITA-based composite grafts was analyzed.
  • Intraoperative TTFM parameters (MGF, PI, DF%, %BF) were recorded for each distal anastomosis.
  • Early postoperative angiography was used to classify graft patency (perfectly patent, competitive, occluded).
  • Receiver operating characteristic (ROC) curve analysis identified optimal cutoff values for TTFM parameters.

Main Results:

  • Of 894 distal anastomoses, 81.0% were perfectly patent, 9.8% bidirectionally competitive, and 8.8% unidirectionally competitive.
  • Significant differences in MGF, PI, DF%, and %BF were observed across graft-flow categories (P < .001).
  • Optimal cutoff values were identified: MGF 10 mL/min, PI 3.1, DF% 60.0%, and %BF 5.0% for predicting competitive flow.
  • Using all four thresholds predicted perfectly patent grafts with 91.8% PPV and functionally patent grafts with 97.3% PPV.

Conclusions:

  • Intraoperative TTFM demonstrates strong predictive capability for early graft flow after composite CABG.
  • Established TTFM parameters and cutoff values can reliably assess graft performance in this setting.
  • This technique aids in optimizing graft selection and surgical technique to improve CABG outcomes.
Abstract

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