Microvascular reactivity as a predictor of major adverse events in patients with on-pump cardiac surgery
- Author:
Ah-Reum CHO
1
;
Hyeon-Jeong LEE
;
Jeong-Min HONG
;
Christine KANG
;
Hyae-Jin KIM
;
Eun-Jung KIM
;
Min Su KIM
;
Soeun JEON
;
Hyewon HWANG
Author Information
- Publication Type:Clinical Research Article
- From:Korean Journal of Anesthesiology 2022;75(4):338-349
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:Microcirculatory disturbances are typically most severe during cardiopulmonary bypass (CPB), which occurs during cardiac surgeries. If microvascular reactivity compensates for microcirculatory disturbances during CPB, tissue hypoxemia can be minimized. The primary aim of this study was to assess whether microvascular reactivity during CPB could predict major adverse events (MAE) after cardiac surgery.
Methods:This prospective observational study included 115 patients who underwent elective on-pump cardiac surgeries. A vascular occlusion test (VOT) with near-infrared spectroscopy was performed five times for each patient: before the induction of general anesthesia, 30 min after the induction of general anesthesia, 30 min after applying CPB, 10 min after protamine injection, and post-sternal closure. The postoperative MAE was recorded. The area under the receiver operating characteristic (AUROC) curve analysis was performed for the prediction of MAE using the recovery slope.
Results:Of the 109 patients, MAE occurred in 32 (29.4%). The AUROC curve for the recovery slope during CPB was 0.701 (P < 0.001; 95% CI [0.606, 0.785]). If the recovery slope during CPB was < 1.08%/s, MAE were predicted with a sensitivity of 62.5% and specificity of 72.7%.
Conclusions:Our study demonstrated that the recovery slope of the VOT during CPB could predict MAE after cardiac surgery. These results support the idea that disturbances in microcirculation induced by CPB can predict the development of poor clinical outcomes, thereby demonstrating the potential role of microvascular reactivity as an early predictor of MAE after cardiac surgery.
