Anesthesia and analgesia
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Anesthesia and analgesia · Feb 2022
Observational StudyThe Relation Between Mean Arterial Pressure and Cardiac Index in Major Abdominal Surgery Patients: A Prospective Observational Cohort Study.
Cardiac output is an important hemodynamic variable and determines oxygen delivery. In contrast to blood pressure, cardiac output is rarely measured even in high-risk surgical patients, suggesting that clinicians consider blood pressure to be a reasonable indicator of systemic blood flow. However, the relationship depends on constant vascular tone and volume, both of which routinely vary during anesthesia and surgery. We therefore tested the hypothesis that there is no clinically meaningful correlation between mean arterial pressure and cardiac index in major abdominal surgery patients. ⋯ There is no clinically meaningful correlation between mean arterial pressure and cardiac index in patients having major abdominal surgery. Intraoperative blood pressure is thus a poor surrogate for cardiac index.
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Anesthesia and analgesia · Feb 2022
Randomized Controlled Trial Multicenter StudyLow-Concentration Norepinephrine Infusion for Major Surgery: A Safety and Feasibility Pilot Randomized Controlled Trial.
Prevention of hypotension during the intra- and postoperative period is an important goal. Peripheral administration of low-concentration norepinephrine may be a safe and effective strategy to reduce the risk of hypotension. ⋯ A future large trial evaluating the effectiveness and safety of peripheral administration of low-concentration norepinephrine during the perioperative period is feasible, and likely to achieve a minimum systolic blood pressure threshold.
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Anesthesia and analgesia · Feb 2022
Raspberry Pi-Based Data Archival System for Electroencephalogram Signals From the SedLine Root Device.
The retrospective analysis of electroencephalogram (EEG) signals acquired from patients under general anesthesia is crucial in understanding the patient's unconscious brain's state. However, the creation of such database is often tedious and cumbersome and involves human labor. Hence, we developed a Raspberry Pi-based system for archiving EEG signals recorded from patients under anesthesia in operating rooms (ORs) with minimal human involvement. ⋯ Our system is a standalone EEG archiver developed using low cost and readily available hardware. We demonstrated that one could create a large-scale EEG database with minimal human involvement. Moreover, we showed that the captured EEG signal is of good quality for retrospective analysis and combined the EEG signal with the patient medical records. This project's software has been released under an open-source license to enable others to use and contribute.