Anesthesia and analgesia
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Anesthesia and analgesia · Jul 2018
A Device for the Quantification of Oxygen Consumption and Caloric Expenditure in the Neonatal Range.
The accurate measurement of oxygen consumption (VO2) and energy expenditure (EE) may be helpful to optimize the treatment of critically ill patients. However, current techniques are limited in their ability to accurately quantify these end points in infants due to a low VO2, low tidal volume, and rapid respiratory rate. This study describes and validates a new device intended to perform in this size range. ⋯ This device can measure VO2, VCO2, and EE with sufficient accuracy for clinical decision-making within the neonatal and pediatric size range, including in the setting of tachypnea or hyperoxia.
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Anesthesia and analgesia · Jul 2018
A Survey of Current Anesthesia Trends for Electrophysiology Procedures.
There has been a dramatic shift in recent years in anesthesia coverage for electrophysiology (EP) procedures. An anesthesiologist and electrophysiologist at our institution jointly developed a survey, which was distributed to the Society of Cardiovascular Anesthesiologists and the Heart Rhythm Society. Its goal was to document current practice patterns and examine perceived variability in coverage. ⋯ Anesthesia coverage for EP procedures has continued to increase with an increase in patient satisfaction. Anesthesiologists have had to adapt and provide designated block time to accommodate this increase and also, in some instances, form teams that go beyond simply cardiac anesthesiologists to care for these patients during their procedures.
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Researchers and clinicians are frequently interested in either: (1) assessing whether there is a relationship or association between 2 or more variables and quantifying this association; or (2) determining whether 1 or more variables can predict another variable. The strength of such an association is mainly described by the correlation. However, regression analysis and regression models can be used not only to identify whether there is a significant relationship or association between variables but also to generate estimations of such a predictive relationship between variables. ⋯ However, it is crucial to note that regression can identify plausible risk factors; it does not prove causation (a definitive cause and effect relationship). The results of a regression analysis instead identify independent (predictor) variable(s) associated with the dependent (outcome) variable. As with other statistical methods, applying regression requires that certain assumptions be met, which can be tested with specific diagnostics.
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Anesthesia and analgesia · Jul 2018
Database Quality and Access Issues Relevant to Research Using Anesthesia Information Management System Data.
For this special article, we reviewed the computer code, used to extract the data, and the text of all 47 studies published between January 2006 and August 2017 using anesthesia information management system (AIMS) data from Thomas Jefferson University Hospital (TJUH). Data from this institution were used in the largest number (P = .0007) of papers describing the use of AIMS published in this time frame. The AIMS was replaced in April 2017, making this finite sample finite. ⋯ Our conclusions are that linking the TJUH AIMS to the operating room management system was a critical step in enabling publication of multiple studies using AIMS data. Access to this and other external databases by analysts with a high degree of anesthesia domain knowledge was necessary to be able to assess the quality of the AIMS data and ensure that the data pulled for studies were appropriate. For anesthesia departments seeking to increase their academic productivity using their AIMS as a data source, our experiences may provide helpful guidance.