Anesthesia and analgesia
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Anesthesia and analgesia · Jul 2022
Machine Learning-Based Models Predicting Outpatient Surgery End Time and Recovery Room Discharge at an Ambulatory Surgery Center.
Days before surgery, add-ons may be scheduled to fill unused surgical block time at an outpatient surgery center. At times, outpatient surgery centers have time limitations for end of block time and discharge from the postanesthesia care unit (PACU). The objective of our study was to develop machine learning models that predicted the following composite outcome: (1) surgery finished by end of operating room block time and (2) patient was discharged by end of recovery room nursing shift. We compared various machine learning models to logistic regression. By evaluating various performance metrics, including F1 scores, we hypothesized that models using ensemble learning will be superior to logistic regression. ⋯ We demonstrated improvement in predicting the outcome at a range of start times when using ensemble learning versus regression techniques. Machine learning may be adapted by operating room management to allow for a better determination whether an add-on case at an outpatient surgery center could be appropriately booked.
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Anesthesia and analgesia · Jul 2022
Observational StudyPresurgical Thalamus Volume in Postoperative Delirium: A Longitudinal Observational Cohort Study in Older Patients.
Previous studies suggest a role of the thalamus in cognitive function, while others implicate it as a central effect site of anesthetics. Yet, its role in postoperative neurocognition in the aging brain remains uncertain. We used presurgical thalamic volume as a functional indicator and determined its association with postoperative delirium (POD). ⋯ A larger thalamus volume was associated with reduced odds of POD. Thus, the thalamus marks a region of interest in POD in the aging brain. These findings may help to understand the neuronal basis of POD.
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Anesthesia and analgesia · Jul 2022
Anesthesia Patient Safety: Next Steps to Improve Worldwide Perioperative Safety by 2030.
Patient safety is a core principle of anesthesia care worldwide. The specialty of anesthesiology has been a leader in medicine for the past half century in pursuing patient safety research and implementing standards of care and systematic improvements in processes of care. Together, these efforts have dramatically reduced patient harm associated with anesthesia. ⋯ The authors share their countries' current and future initiatives in anesthesia patient safety. Ten major patient safety issues are common to these countries, with several of these focused on the importance of extending initiatives into the full perioperative as well as intraoperative environments. These issues may be used by anesthesia leaders around the globe to direct collaborative efforts to improve the safety of patients undergoing surgery and anesthesia in the coming decade.
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Anesthesia and analgesia · Jul 2022
Observational StudyA Prospective, Cohort Study of the Effect of Acute and Chronic Malnutrition on Length of Stay in Children Having Surgery in Rwanda.
Malnutrition is common in pediatric surgical patients, but there are little data from low-income countries that estimate the association of malnutrition with surgical outcomes. We aimed to determine the prevalence of malnutrition and its association with length of stay (LOS) among pediatric surgical patients in Kigali, Rwanda. ⋯ Malnutrition is prevalent in >20% of children presenting for surgery and associated with increased LOS after surgery, even after accounting for individual and family-level confounders. Although some aspects of malnutrition may relate to the surgical condition, severe malnutrition may represent a modifiable social risk factor that could be targeted to improve postoperative outcomes and resource use. Severely stunted children should be identified as at risk of having delayed recovery after surgery.
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Anesthesia and analgesia · Jul 2022
Emergency Subglottic Airway Training and Assessment of Skills Retention of Attending Anesthesiologists With Simulation Mastery-Based Learning.
Although included within the American Society of Anesthesiologists difficult airway algorithm, the use of "invasive airway access" is rarely needed clinically. In conjunction with highly associated morbidity and liability risks, it is a challenge for the average anesthesiologist to develop and maintain competency. The advancement of high-fidelity simulators allows for practice of rarely encountered clinical scenarios, specifically those requiring invasive subglottic airway techniques. ⋯ We discovered that only ~20% of practicing anesthesiologists were able to successfully place an invasive airway in a simulated life or death clinical setting. Using mobile simulation (training performed in department conference room) during a 2.5-hour session using mastery-based training pedagogy, we increased our success rate of invasive airway placement to 100%, while also increasing the successful speed to ventilation (TTJV, 32 seconds average; BC, 29 seconds average). Finally, we determined that there was a 15-month 80% retention rate of the airway skills learned, indicating that skills last at least a year before retraining is required using this training methodology.