Purpose of review The volume of bariatric and nonbariatric surgical procedures on obese patients is dramatically increasing worldwide over the past years. In this review, we discuss the physiopathlogy of respiratory function during anesthesia in obese patients, the stratification of perioperative risk to develop intraoperative and postoperative pulmonary complications, the optimization of airway management, and perioperative ventilation, including postoperative respiratory assistance. Recent findings Scores have been proposed to stratify the risk of surgical patients, some of which were specifically developed for obese patients. Most scores identify obstructive sleep apnea and elevated BMI as independent risk factors. Obese patients might be at risk of difficult intubation and mask ventilation, and also of developing postoperative pulmonary complications. Intraoperative ventilation settings affect clinical outcome, but the optimal ventilation strategy is still to be determined. Opioid-free regimens are being widely investigated. Postoperative monitoring and respiratory assistance are necessary in selected patients. Early mobilization and physiotherapy are mandatory. Summary Obese patients are at higher risk of perioperative complications, mainly associated with those related to the respiratory function. An appropriate preoperative evaluation, intraoperative management, and postoperative support and monitoring is essential to improve outcome and increase the safety of the surgical procedure.
Analysis of the microcirculation is currently performed offline, is time consuming and operator dependent. The aim of this study was to assess the ability and efficiency of the automatic analysis software CytoCamTools 1.7.12 (CC) to measure microvascular parameters in comparison with Automated Vascular Analysis (AVA) software 3.2. 22 patients admitted to the cardiothoracic intensive care unit following cardiac surgery were prospectively enrolled. Sublingual microcirculatory videos were analysed using AVA and CC software. The total vessel density (TVD) for small vessels, perfused vessel density (PVD) and proportion of perfused vessels (PPV) were calculated. Blood flow was assessed using the microvascular flow index (MFI) for AVA software and the averaged perfused speed indicator (APSI) for the CC software. The duration of the analysis was also recorded. Eighty-four videos from 22 patients were analysed. The bias between TVD-CC and TVD-AVA was 2.20 mm/mm (95 % CI 1.37-3.03) with limits of agreement (LOA) of -4.39 (95 % CI -5.66 to -3.16) and 8.79 (95 % CI 7.50-10.01) mm/mm. The percentage error (PE) for TVD was ±32.2 %. TVD was positively correlated between CC and AVA (r = 0.74, p < 0.001). The bias between PVD-CC and PVD-AVA was 6.54 mm/mm (95 % CI 5.60-7.48) with LOA of -4.25 (95 % CI -8.48 to -0.02) and 17.34 (95 % CI 13.11-21.57) mm/mm. The PE for PVD was ±61.2 %. PVD was positively correlated between CC and AVA (r = 0.66, p < 0.001). The median PPV-AVA was significantly higher than the median PPV-CC [97.39 % (95.25, 100 %) vs. 81.65 % (61.97, 88.99), p < 0.0001]. MFI categories cannot estimate or predict APSI values (p = 0.45). The time required for the analysis was shorter with CC than with AVA system [2'42″ (2'12″, 3'31″) vs. 16'12″ (13'38″, 17'57″), p < 0.001]. TVD is comparable between the two softwares, although faster with CC software. The values for PVD and PPV are not interchangeable given the different approach to assess microcirculatory flow.
Objective: Anesthesiologists play a pivotal role in mass-casualty incidents management. Disaster medicine is part of the anesthesiologist’s core skills; however, dedicated training is still scarce and, often, it does not follow a standardized program. Methods: We designed and delivered a crash course in disaster medicine for Italian anesthesiology residents participating in the nationwide program, Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI) Academy Critical Emergency Medicine 2019. Residents totaling 145, from 39 programs, participated in a 75-minute workstation on the principles of disaster management. Following this, each participant was involved in a full-scale mass-casualty drill. A plenary debriefing followed to present simulation data, maximize feedback, and highlight all situations needing improvement. Results: Overall, participant performance was good: Triage accuracy was 85% prehospital and 84% in-hospital. Evacuation flow respected triage priority. During the debriefing, residents were very open to share and reflect on their experiences. A narrative qualitative analysis of the debriefing highlights that many participants felt overwhelmed by events during the exercise. Participants in coordination positions shared how they appreciated the need to switch from a clinical mindset to a managerial role. Conclusion: This was an invaluable experience for anesthesiology trainees, providing them with the skill set to understand the fundamental principles of a mass-casualty response.
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