Transit-time flow measurement for detection of early graft failure during myocardial revascularization

1998 ◽  
Vol 66 (3) ◽  
pp. 1097-1100 ◽  
Author(s):  
Beat H Walpoth ◽  
Andreas Bosshard ◽  
Igor Genyk ◽  
Beat Kipfer ◽  
Pascal A Berdat ◽  
...  
2021 ◽  
Vol 77 (2) ◽  
pp. 201-205 ◽  
Author(s):  
Guodong Zhang ◽  
Zhou Zhao ◽  
Zengqiang Han ◽  
Qing Gao ◽  
Jing Liu ◽  
...  

2018 ◽  
Vol 66 (06) ◽  
pp. 426-433 ◽  
Author(s):  
Yasushi Takagi ◽  
Yoshiyuki Takami

AbstractTransit-time flow measurement (TTFM) has been increasingly applied to detect graft failure during coronary artery bypass grafting (CABG), because TTFM is less invasive, more reproducible, and less time consuming. Many authors have attempted to validate TTFM and to gain the clear cutoff values and algorithm in TTFM to predict graft failure. The TTFM technology has also been shown to be a useful tool to investigate CABG graft flow characteristics and coronary circulation physiology. It is important to recognize the practical roles of TTFM in the cardiac operating room by review and summarize the literatures.


2017 ◽  
Vol 4 (4) ◽  
pp. 1286
Author(s):  
Chollada Suwannachod ◽  
Nakorn Boonme

Background: Transit time flow measurement (TTFM) is used for intraoperative graft measurement to estimate graft failure. PI≤3 was suggested because it shows lower incidence of early graft failure. Objective of the study was to compare myocardial function and clinical outcomes of patients who underwent coronary artery bypass graft (CABG) surgery, between PI≤3 in all grafts (optimal group) and PI >3 in one or more grafts (suboptimal group) by Transit time flow measurement (TTFM).Methods: 90 patients who underwent CABG since June 2012 to December 2014 were included. Patients were classified into 2 groups: Optimal group (n=32) and Suboptimal group (n=58). CABG with intraoperative TTFM was performed as standard. Postoperative outcomes of both groups were compared.Results: Patients whose postoperative EF was increased were found in optimal group more than suboptimal group (62.1% vs 25%, p<0.001). The patients whose postoperative EF increased equal or more than 5% was found in optimal group more than suboptimal group (73.2% vs 25%, p=0.002). Suboptimal group found one patient with myocardial infarction but optimal group found none (3.13% and 0%). Postoperative atrial fibrillation and prolong ventilator more than 48 hours were found in suboptimal group more than optimal group (43.75% vs 37.93%, 62.50% vs 37.93%). In midterm, postoperative follow-up, all-cause mortality in suboptimal group was higher than optimal group (3.13% vs 1.72).Conclusions: Optimal group had patients whose postoperative EF significantly increased more than suboptimal group. Tendency of finding postoperative complications in suboptimal group was more than in optimal group.


1999 ◽  
Vol 14 (5) ◽  
pp. 342-347 ◽  
Author(s):  
Marco Ricci ◽  
Hratch L. Karamanoukian ◽  
Tomas A. Salerno ◽  
Giuseppe D'Ancona ◽  
Jacob Bergsland

2014 ◽  
Vol 30 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Per Lehnert ◽  
Christian H. Møller ◽  
Sune Damgaard ◽  
Thomas A. Gerds ◽  
Daniel A. Steinbrüchel

Author(s):  
Teresa M. Kieser ◽  
Gabriele Di Giammarco

Intraoperative bypass graft evaluation for coronary artery bypass graft surgery has now been recommended in three consecutive European guidelines for myocardial revascularization in 2010, 2014, and 2018. The two main modalities consist of transit-time flow measurement which assesses function of grafts and epicardial ultrasound to assess the anatomy of the anastomosis. Functional and morphological assessment are generally considered complementary, although transit-time flow measurement is the most commonly used. Transit-time flow measurement alone may have ambiguous values in 5–15% of grafts and this can lead to unnecessary graft revision. The addition of epicardial ultrasound aids interpretation of intraoperative graft assessment by allowing visualization of the anastomosis and correction of technical errors that, intuitively, will lead to improved patient outcomes.


1985 ◽  
Vol 2 (5) ◽  
pp. 342-347
Author(s):  
Marco Ricci ◽  
Hratch L. Karamanoukian ◽  
Tomas A. Salerno ◽  
Giuseppe D'Ancona ◽  
Jacob Bergsland

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