Anesthesia and analgesia
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Anesthesia and analgesia · Mar 2012
Randomized Controlled Trial Comparative StudyThe impact of perioperative catastrophes on anesthesiologists: results of a national survey.
Most anesthesiologists will experience at least one perioperative catastrophe over the course of their careers. Very little, however, is known about the emotional impact of these events and their effects on both immediate and long-term ability to provide care. In this study, we examined the incidence of perioperative catastrophes and the impact of these outcomes on American anesthesiologists. ⋯ A perioperative catastrophe may have a profound and lasting emotional impact on the anesthesiologist involved and may affect his or her ability to provide patient care in the aftermath of such events.
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Anesthesia and analgesia · Mar 2012
Comparative StudyPredicting the limits of cerebral autoregulation during cardiopulmonary bypass.
Mean arterial blood pressure (MAP) targets are empirically chosen during cardiopulmonary bypass (CPB). We have previously shown that near-infrared spectroscopy (NIRS) can be used clinically for monitoring cerebral blood flow autoregulation. The hypothesis of this study was that real-time autoregulation monitoring using NIRS-based methods is more accurate for delineating the MAP at the lower limit of autoregulation (LLA) during CPB than empiric determinations based on age, preoperative history, and preoperative blood pressure. ⋯ There is a wide range of MAP at the LLA in patients during CPB, making estimation of this target difficult. Real-time monitoring of autoregulation with cerebral oximetry index may provide a more rational means for individualizing MAP during CPB.
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Anesthesia and analgesia · Mar 2012
Comparative StudyUniversity of Queensland vital signs dataset: development of an accessible repository of anesthesia patient monitoring data for research.
Data recorded from the devices used to monitor a patient's vital signs are often used in the development of displays, alarms, and information systems, but high-resolution, multiple-parameter datasets of anesthesia monitoring data from patients during anesthesia are often difficult to obtain. Existing databases have typically been collected from patients in intensive care units. However, the physical state of intensive care patients is dissimilar to those undergoing surgery, more frequent and marked changes to cardiovascular and respiratory variables are seen in operating room patients, and additional and highly relevant information to anesthesia (e.g., end-tidal agent monitoring, etc.) is omitted from these intensive care databases. We collected a set of high-quality, high-resolution, multiple-parameter monitoring data suitable for anesthesia monitoring research. ⋯ The present dataset provides clinical anesthesia monitoring data from entire surgical cases where patients underwent anesthesia, includes a wide range of vital signs variables that are commonly monitored during surgery, and is published in accessible, user-friendly file formats. The text and image file formats let researchers without engineering or computer science backgrounds easily access the data using standard spreadsheet and image browsing software. In future work, monitoring data should be collected from a wider range and larger number of cases, and software tools are needed to support searching and navigating the database.