Why the study?
The study aimed to develop an algorithm using ultrasonic flowmetry and epicardial ultrasonic scanning for intraoperative assessment of the anatomic and functional viability of coronary grafts.
Does the combined use of ultrasonic flowmetry and epicardial ultrasonic scanning accurately predict graft failure in patients undergoing coronary artery bypass surgery?
Does the combined use of ultrasonic flowmetry and epicardial ultrasonic scanning accurately predict graft failure in patients undergoing coronary artery bypass surgery?
The combined use of ultrasonic flowmetry and epicardial ultrasonic scanning provides a highly sensitive and specific intraoperative assessment of coronary graft viability during CABG.
May aid intraoperative graft viability assessment with USF/EpiUSS; leaves open prospective validation before clinical adoption.
Aim To develop an algorithm for using ultrasonic flowmetry (USF) and epicardial ultrasonic scanning (EpiUSS) for intraoperative assessment of anatomic and functional viability of conduits.Material and methods For viability assessment of 460 coronary grafts in 150 patients who were operated at the Bakulev National Medical Research Center for Cardiovascular Surgery (2018-2021 г.), markers of graft failure were analyzed using the USF and EpiUSS data confirmed by results of graft angiography. According to RОС analysis, the Qmean and PI values indicative of the graft failure were determined. A CHAID decision tree was developed for assessing the prognostic significance of the analyzed parameters. Based on this prognostic model, an algorithm was developed for intraoperative diagnosis of anatomic and functional graft viability during coronary bypass surgery.Results The Qmean ≤20.5 ml/min values were associated with an increased relative risk (RR) of detecting graft failure (RR, 8.2; 95 % confidence interval, CI, 4.4-15.2). The developed model shows a high accuracy of predicting the graft failure (AUC = 0.906±0.03). The RR of graft failure at PI ≥2.65 was 3.3 (95 % CI, 2.17-5.08). The prognostic model for PI (AUC = 0.745±0.042) was sufficiently accurate with respect of possible graft failure. Nodes of high and low risk for graft failure were determined in the developed decision tree. The obtained model was characterized by high sensitivity and specificity (100 and 84.3 %, respectively).Conclusion The combined use of USF and EpiUSS allows a highly accurate assessment of both morphological and functional characteristics of graft flow. The developed algorithm for the intraoperative diagnosis of anatomic and functional graft viability can be recommended for clinical use.
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Sigaev et al. (2022) studied this question.
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