Paramedic Interventions and Adverse Patient Events during Prolonged Interfacility Ground Transport in a "Drip and Ship" Pharmacoinvasive Model of STEMI Care.

OBJECTIVE: Primary percutaneous coronary intervention (PCI) is the preferred reperfusion strategy for patients with ST-segment elevation myocardial infarction (STEMI). However, when primary PCI is not available in a timely fashion, fibrinolysis and early transfer for routine PCI is recommended. Prince Edward Island (PEI) is the only province in Canada without a PCI facility, and distances to the nearest PCI-capable facilities are between 290 and 374 kilometers. This results in prolonged out-of-hospital time for critically ill patients. We sought to characterize and quantify paramedic interventions and adverse patient events during prolonged ground transport to PCI facilities post-fibrinolysis. METHODS: We performed a retrospective chart review of patients presenting to any of four emergency departments (ED) on PEI during the calendar years 2016 and 2017. We identified patients through administrative discharge data and cross referenced with emergent out-of-province ambulance transfers. All included patients were managed as STEMIs in the EDs and subsequently transferred (primary PCI, pharmacoinvasive) directly from the EDs to PCI facilities. We excluded patients having STEMIs on inpatient wards and those transported by other means. We reviewed electronic and paper ED charts plus paper EMS records. We performed summary statistics. RESULTS: We identified 149 patients meeting inclusion criteria. Most patients were males (77.9%), mean age 62.1 (SD 13.8) years. The mean transport interval was 202 (SD 29.0) minutes. Thirty-two adverse events occurred during 24 transports (16.1%). There was one death, and four patients required diversion to non-PCI facilities. Hypotension was the most common adverse event (n = 13, 8.7%), and fluid bolus (n = 11, 7.4%) was the most common intervention. Three (2.0%) patients required electrical therapy. Nitrates (n = 65, 43.6%) and opioid analgesics (n = 51, 34.2%) were the most common drugs administered during transport. CONCLUSION: In a setting where primary PCI is not feasible due to distance, a pharmacoinvasive model of STEMI care is associated with a 16.1% proportion of adverse events. Crew configuration including ALS clinicians is the key in managing these events.

Remote Scene Size-up Using an Unmanned Aerial Vehicle in a Simulated Mass Casualty Incident.

INTRODUCTION: The scene-size-up is a crucial first step in the response to a mass casualty incident (MCI). Unmanned aerial vehicles (UAV) may potentially enhance the scene-size-up with real-time visual feedback during chaotic, evolving or inaccessible events. We performed this study to test the feasibility of paramedics using UAV video from a simulated MCI to identify scene hazards, initiate patient triage, and designate key operational locations. METHODS: We simulated an MCI, including 15 patients plus 4 hazards, on a college campus. A UAV surveyed the scene, capturing video of all patients, hazards, surrounding buildings and streets. We invited attendees of a provincial paramedic meeting to participate. Participants received a lecture on Sort-Assess-Lifesaving Interventions-Treatment/Transport (SALT) Triage and MCI scene management principles. Next, they watched the UAV video footage. We directed participants to sort patients according to SALT Triage Step One, identify injuries, and to localize the patients within the campus. Additionally, we asked them to select a start point for SALT Triage Step Two, identify and locate hazards, and designate locations for an Incident Command Post, Treatment Area, Transport Area and Access/Egress routes. The primary outcome was the number of correctly allocated triage scores. RESULTS: Ninety-six individuals participated. Mean age was 35 years (SD 11); 46% (44) were female and 49% (47) were Primary Care Paramedics. Most participants (79; 82%) correctly sorted at least 12 of 15 patients. Increased age was associated with decreased triage accuracy [-0.04(-0.07, -0.01); p = 0.031]. Fifty-two (54%) correctly localized 12 or more patients to a 27 × 20m grid area. Advanced paramedic certification, and local residency were associated with improved patient localization [2.47(0.23,4.72); p = 0.031], [3.36(1.10,5.61); p = 0.004]. The majority of participants (70; 81%) chose an acceptable location to start SALT Triage Step Two and 75 (78%) identified at least 3 of 4 hazards. Approximately half (53; 56%) of participants appropriately designated 4 or more of 5 key operational areas. CONCLUSION: This study demonstrates the ability of UAV technology to remotely facilitate the scene size-up in an MCI. Additional research is required to further investigate optimal strategies to deploy UAVs in this context.

Cut and rip and cut alone techniques versus usual practice in the removal of trauma patient clothing.

IntroductionRapid exposure of a trauma patient is an essential component of the primary survey. No gold standard exists regarding the best technique to remove clothing from a trauma patient. The purpose of this study is to compare two techniques of clothing removal versus usual practice using standard trauma shears. METHODS: Advanced Care Paramedic (ACP) students were randomized to either the Cut and Rip (CAR) or Cut Alone (CAL) techniques to remove clothing from a standardized trauma mannequin. Practicing paramedics were recruited to remove clothing from the mannequin using Usual Practice (UP). Total time and time for removal of individual pieces of clothing was recorded. RESULTS: Twenty-four participants (8 per group) were recruited to participate. The student groups (CAR, CAL) were similar in mean age (29, 27), years of practice (1 student >5 years) and male gender (63, 43%). The UP group was older (mean 34), more experienced (63% practice >5 years), and had a higher level of training (63% ACP) but a similar percentage of males (63%). Removal time was significantly less in the CAR group compared to the CAL group (mean 104 seconds, 95% CI 88-120 vs. mean 136 seconds, 95% CI 119-154, p=0.02). Removal times in the UP group were not significantly different from the other groups (mean 124 seconds, 95% CI 108-140, p>0.05). CONCLUSION: The CAR technique is faster than both CAL and UP groups to remove clothing from a standard trauma mannequin.