British journal of anaesthesia
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Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement. ⋯ Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it can facilitate performance of cognitive activities involving big data. Ongoing integration of big data and analytics within anaesthesia and health care will increase demand for anaesthesia professionals who are well versed in both the medical and the information sciences.
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Observational Study
Emergence from general anaesthesia and evolution of delirium signs in the post-anaesthesia care unit.
Emergence from anaesthesia is often accompanied by signs of delirium, including fluctuating mental status and inattention. The evolution of these signs of delirium requires investigation since delirium in the post-anaesthesia care unit (PACU) may be associated with worse outcomes. ⋯ A significant proportion of patients develop delirium signs in the immediate postoperative period, primarily manifesting with a hypoactive subtype. These signs often persist to PACU discharge, suggesting the need for structured delirium monitoring in the PACU to identify patients potentially at risk for worse outcomes in the postoperative period.
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Postoperative throat complications, such as sore throat and hoarseness, are frequent complications of tracheal intubation. To assess whether severity of throat complications is related to the experience of physicians performing tracheal intubation, we compared the incidence and duration of postoperative sore throat and hoarseness and patient satisfaction between tracheal intubation performed by trainees and experienced consultant anaesthetists. ⋯ Tracheal intubation by trainees under the supervision of consultant anaesthetists did not worsen the postoperative airway outcomes, such as sore throat and hoarseness.
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Observational Study
Decrease in pulse pressure and stroke volume variations after mini-fluid challenge accurately predicts fluid responsiveness.
Dynamic indices, such as pulse pressure variation (PPV), are inaccurate predictors of fluid responsiveness in mechanically ventilated patients with low tidal volume. This study aimed to test whether changes in continuous cardiac index (CCI), PPV, and stroke volume variation (SVV) after a mini-fluid challenge (100 ml of fluid during 1 min) could predict fluid responsiveness in these patients. ⋯ The ΔSVV100 and ΔPPV100 predict fluid responsiveness accurately and better than ΔCCI100 (PiCCO™; Pulsion) in patients with circulatory failure and ventilated with low volumes.