Journal of cardiothoracic and vascular anesthesia
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J. Cardiothorac. Vasc. Anesth. · Apr 2024
PRO: Implementation Science Has Value in Anesthesiology and Cardiothoracic Surgery.
Implementation science is a nascent field that aims to study the factors that influence the effectiveness of a given clinical intervention, such as the characteristics of the individuals involved, the internal and external settings, the process of implementation, and other factors. Overall, implementation science aims to increase the extent to which an intervention is practiced, and the quality of its delivery to a patient. Although still in its infancy, the applications of implementation science in anesthesiology and cardiothoracic surgery abound. Whether used to adopt novel innovations, avoid the use of obsolete practices, or redeploy existing interventions to improve quality, implementation science holds promise in optimizing how we bring the latest in clinical science to produce tangible benefits to patients and create sustainable change.
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J. Cardiothorac. Vasc. Anesth. · Apr 2024
Perioperative Factors and Radiographic Severity Scores for Predicting the Duration of Mechanical Ventilation After Arterial Switch Surgery.
Cardiac surgery on cardiopulmonary bypass (CPB) during the neonatal period can cause perioperative organ injuries. The primary aim of this study was to determine the incidence and risk factors associated with postoperative mechanical ventilation duration and acute lung injury after the arterial switch operation (ASO). The secondary aim was to examine the utility of the Brixia score for characterizing postoperative acute lung injury (ALI). ⋯ Arterial switch operation results in a high incidence of ≥48-hour postoperative mechanical ventilation. Blood component transfusion is a potentially modifiable risk factor. The Brixia scores also may be used to characterize postoperative acute lung injury.
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J. Cardiothorac. Vasc. Anesth. · Apr 2024
Macklin Effect: From Pathophysiology to Clinical Implication.
Air leak syndromes (such as pneumomediastinum, pneumothorax, or subcutaneous emphysema) are frequent complications of acute respiratory distress syndrome (ARDS). Unfortunately, the development of air leaks is associated with worse outcomes. In addition, it has been hypothesized that the development of pneumomediastinum could be a marker of disease severity in patients with respiratory failure receiving noninvasive respiratory support or assisted ventilation. ⋯ The Macklin effect could be an accurate predictor of barotrauma in patients with ARDS (sensitivity = 89.2% [95% CI: 74.6-96.9]; specificity = 95.6% [95% CI: 90.6-98.4]), and may be a marker of disease severity. Accordingly, the detection of the Macklin effect on a chest CT scan could be used to select which patients with ARDS might benefit from different treatment algorithms, including advanced respiratory monitoring, early intubation, or, potentially, the institution of early extracorporeal support with or without invasive ventilation. In this video, the authors summarize the pathophysiology and potential clinical significance and applications of the Macklin effect in patients with acute respiratory failure.
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J. Cardiothorac. Vasc. Anesth. · Apr 2024
Preoperative Alcohol Use, Postoperative Pain, and Opioid Use After Coronary Artery Bypass Surgery.
Chronic alcohol use is associated with chronic pain and increased opioid consumption. The association between chronic alcohol use and acute postoperative pain has been studied minimally. The authors' objective was to explore the association among preoperative alcohol use, postoperative pain, and opioid consumption after coronary artery bypass grafting (CABG). ⋯ There is no apparent association among mild-to-moderate preoperative alcohol consumption and early postoperative pain and opioid use in patients who underwent CABG.
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J. Cardiothorac. Vasc. Anesth. · Apr 2024
Observational StudyPragmatic Evaluation of a Deep-Learning Algorithm to Automate Ejection Fraction on Hand-Held, Point-of-Care Echocardiography in a Cardiac Surgical Operating Room.
To test the correlation of ejection fraction (EF) estimated by a deep-learning-based, automated algorithm (Auto EF) versus an EF estimated by Simpson's method. ⋯ Applied to acquisitions of adequate image quality, Auto EF produced a numerical EF estimate equivalent to Simpson's method. However, when applied to acquisitions of inadequate image quality, discrepancies arose between EF estimated by Auto EF and Simpson's method. Visual EF estimates by experienced readers correlated highly with Simpson's method in both variable and inadequate imaging conditions, emphasizing its enduring clinical utility.