In Journal of cardiothoracic and vascular anesthesia ; h5-index 35.0
Intraoperative hypotension (IOH) is a major concern to the anesthesiologist. Its appropriate identification and management require an understanding of the physiology of blood pressure regulation, prudent blood pressure monitoring, and treatment. Even short durations of low mean arterial pressure have been associated with adverse postoperative clinical outcomes. The challenge is for the clinician to respond proactively, address the specific etiology of IOH, and keep in mind any changes to the patient's physiology. Predictive technology, such as the Hypotension Prediction Index, offers the clinician new insight into IOH. It has been shown to predict hypotension up to 15 minutes before occurrence. It also calculates stroke volume variation, dynamic arterial elastance, and left ventricular contractility, which can inform the anesthesiologist of the etiology of IOH to direct management. This new technology has the potential to reduce duration or even prevent IOH. In the authors' opinion, it is an example of how human-machine interaction will contribute to future advances in medicine. Additional studies should evaluate the effects of its use on postoperative outcomes.
Awad Hamdy, Alcodray Gabriel, Raza Arwa, Boulos Racha, Essandoh Michael, Bhandary Sujatha, Dalton Ryan
artificial intelligence, blood pressure, hypotension, intraoperative complications, intraoperative monitoring, technology