Advancing the scientific study of prehospital mass casualty response through a Translational Science process: the T1 scoping literature review stage.

PURPOSE: The European Union Horizon 2020 research and innovation funding program awarded the NIGHTINGALE grant to develop a toolkit to support first responders engaged in prehospital (PH) mass casualty incident (MCI) response. To reach the projects' objectives, the NIGHTINGALE consortium used a Translational Science (TS) process. The present work is the first TS stage (T1) aimed to extract data relevant for the subsequent modified Delphi study (T2) statements. METHODS: The authors were divided into three work groups (WGs) MCI Triage, PH Life Support and Damage Control (PHLSDC), and PH Processes (PHP). Each WG conducted simultaneous literature searches following the PRISMA extension for scoping reviews. Relevant data were extracted from the included articles and indexed using pre-identified PH MCI response themes and subthemes. RESULTS: The initial search yielded 925 total references to be considered for title and abstract review (MCI Triage 311, PHLSDC 329, PHP 285), then 483 articles for full reference review (MCI Triage 111, PHLSDC 216, PHP 156), and finally 152 articles for the database extraction process (MCI Triage 27, PHLSDC 37, PHP 88). Most frequent subthemes and novel concepts have been identified as a basis for the elaboration of draft statements for the T2 modified Delphi study. CONCLUSION: The three simultaneous scoping reviews allowed the extraction of relevant PH MCI subthemes and novel concepts that will enable the NIGHTINGALE consortium to create scientifically anchored statements in the T2 modified Delphi study.

An Island-Wide Disaster Drill to Train the Next Generation of Anesthesiologists: The SIAARTI Academy Experience.

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.

A Mixed Reality system for the simulation of emergency and first-aid scenarios.

Simulation is a powerful learning tool, as it allows gaining direct experience in a controlled and repeatable way. However, the simulation is effective when it is able to reproduce the real conditions and when the user feels him/herself immersed and present in the situation. With the aim of improving these critical points, we propose an immersive virtual reality system for first-aid handling. Specifically, we increase the visual realism of medical mannequins and the contextualization, and we add the touch feedback by mapping the real mannequin into its virtual representation. Moreover, the interaction is performed by using a virtual representation of the users own hands by allowing a more realistic execution of tasks. The results show a good accuracy in the mapping between the real and the virtual mannequin, and a high degree of presence for both the control group and the medical one. These results and the low values of simulator sickness reported during the experiment are a good starting point for the use of the proposed mixed reality system in simulation scenarios.

Perioperative management of obese patient.

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.

Ability and efficiency of an automatic analysis software to measure microvascular parameters.

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/mm2 (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/mm2. 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/mm2 (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/mm2. 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.

From cardiac output to blood flow auto-regulation in shock.

Shock is defined as a state in which the circulation is unable to deliver sufficient oxygen to meet the demands of the tissues, resulting in cellular dysoxia and organ failure. In this process, the factors that govern the circulation at a haemodynamic level and oxygen delivery at a microcirculatory level play a major role. This manuscript aims to review the blood flow regulation from macro- and micro-haemodynamic point of view and to discuss new potential therapeutic approaches for cardiovascular instability in patients in cardiovascular shock. Despite the recent advances in haemodynamics, the mechanisms that control the vascular resistance and the venous return are not fully understood in critically ill patients. The physical properties of the vascular wall, as well as the role of the mean systemic filling pressure are topics that require further research. However, the haemodynamics do not totally explain the physiopathology of cellular dysoxia, and several factors such as inflammatory changes at the microcirculatory level can modify vascular resistance and tissue perfusion. Cellular vasoactive mediators and endothelial and glucocalix damage are also involved in microcirculatory impairment. All the levels of the circulatory system must be taken into account. Evaluation of microcirculation may help one to detect under-diagnosed shock, and together with classic haemodynamics, guide one towards the appropriate therapy. Restoration of classic haemodynamic parameters is essential but not sufficient to detect and treat patients in cardiovascular shock.