A retrospective observational study assessing mortality after pelvic trauma embolisation.

INTRODUCTION: Trauma to the pelvic ring and associated haemorrhage represent a management challenge for the multidisciplinary trauma team. In up to 10% of patients, bleeding can be the result of an arterial injury and mortality is reported as high as 89% in this cohort. We aimed to assess the mortality rate after pelvic trauma embolisation and whether earlier embolisation improved mortality. METHODS: Retrospective study at single tertiary trauma and referral centre, between 1 January 2009 and 30 June 2022. All adult patients who received embolisation following pelvic trauma were included. Patients were excluded if angiography was performed but no embolisation performed. RESULTS: During the 13.5-year time period, 175 patients underwent angiography and 28 were excluded, leaving 147 patients in the study. The all-cause mortality rate at 30-days was 11.6% (17 patients). The median time from injury to embolisation was 6.3 h (range 2.8-418.4). On regression analysis, time from injury to embolisation was not associated with mortality (OR 1.01, 95% CI 0.952-1.061). Increasing age (OR 1.20, 95% CI 1.084-1.333) and increasing injury severity score (OR 1.14, 95% CI 1.049-1.247) were positively associated with all-cause 30-day mortality, while non-selective embolisation (OR 0.11, 95% CI 0.013-0.893) was negatively associated. CONCLUSION: The all-cause mortality rate at 30-days in or cohort was very low. In addition, earlier time from injury to embolisation was not positively associated with all-cause 30-day mortality. Nevertheless, minimising this remains a fundamental principle of the management of bleeding in pelvic trauma.

Orthopaedic injuries due to electric scooter trauma presenting to a level 1 trauma centre before and after introduction of a scooter-sharing scheme.

Background: Epidemiological data from various jurisdictions has shown that electric scooters are associated with significant trauma. The Victorian state government introduced a trial scooter sharing scheme on February 1, 2022 in inner city Melbourne. This is a descriptive study from the largest trauma centre in Victoria, geographically at the heart of the government sharing scheme, investigating the "scope of the problem" before and after introduction of the ride sharing scheme. Methods: Retrospective case series. Insitutional orthopaedic department database was searched from 1 Jan 2021 to 30 June 2022 to identify all admissions, requiring orthopaedic management, associated with e-scooter trauma. Data collected included, alcohol/drug involvement, hospital LOS, injury severity score, ICU admission, injuries sustained, surgical procedures, discharge destination, and death. Results: In the 12 months prior to, and five months since introduction of the ride share scheme, 43 patients sustaining e-scooter related injuries were identified. Eighteen patients (42%) presented in the five months since ride sharing was introduced and 25 patients in the preceding 12 months. 58% of patients were found to be intoxicated. Fourteen percent required an ICU admission. Forty-four percent of patients were polytrauma admissions. The median length of stay was two days, longest individual hospital stay was 69 days. There were 49 surgical procedures in 35 patients including neurosurgical, plastics and maxillofacial operations. The mean Injury Severity Score was 17.28. Conclusion: Electric scooters are associated with a significant trauma burden. This data may be combined with other clinical services and could be used to inform policy makers.

Paramedic streaming upon arrival in emergency department: A prospective study.

OBJECTIVE: The role of paramedics in hospital triage or streaming models has not been adequately explored and is potentially a missed opportunity for enhanced patient flow. The aim of the present study was to assess the concordance between a streaming decision by paramedics with the decision by nurses after arrival to the ED. METHODS: A prospective observational study was conducted. Paramedics were met at the entrance to the hospital and asked which destination they thought was appropriate (the index test). The ED nurse streaming decision was the reference standard. Cases of discordance were reviewed and assessed for clinical risk by an independent expert panel that was blinded. RESULTS: We collected data from 500 cases that were transported by ambulance consisting of 55% males with a median age of 57 years (interquartile range 38-75). The overall concordance between paramedics' and streaming decision was 86.4% (95% confidence interval 83.1-89.1). The concordance was highest among patients streamed to resuscitation and general cubicles. Among discordant cases (n = 68), 39 were streamed to a more acute destination than the paramedic suggested. Of the 68 discordant cases, 56 were deemed to be of no clinical risk. CONCLUSIONS: Despite limited knowledge of patient load within the ED, paramedics can allocate a streaming destination with high accuracy and this appears to be associated with low clinical risks. Early pre-hospital notification of streaming destination with proactive allocation of ED destination presents a real opportunity to minimise off-load times and improve patient flow.

Decision Support Capabilities of Telemedicine in Emergency Prehospital Care: Systematic Review.

BACKGROUND: Telemedicine offers a unique opportunity to improve coordination and administration for urgent patient care remotely. In an emergency setting, it has been used to support first responders by providing telephone or video consultation with specialists at hospitals and through the exchange of prehospital patient information. This technological solution is evolving rapidly, yet there is a concern that it is being implemented without a demonstrated clinical need and effectiveness as well as without a thorough economic evaluation. OBJECTIVE: Our objective is to systematically review whether the clinical outcomes achieved, as reported in the literature, favor telemedicine decision support for medical interventions during prehospital care. METHODS: This systematic review included peer-reviewed journal articles. Searches of 7 databases and relevant reviews were conducted. Eligibility criteria consisted of studies that covered telemedicine as data- and information-sharing and two-way teleconsultation platforms, with the objective of supporting medical decisions (eg, diagnosis, treatment, and receiving hospital decision) in a prehospital emergency setting. Simulation studies and studies that included pediatric populations were excluded. The procedures in this review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) tool was used for the assessment of risk of bias. The results were synthesized based on predefined aspects of medical decisions that are made in a prehospital setting, which include diagnostic decision support, receiving facility decisions, and medical directions for treatment. All data extractions were done by at least two reviewers independently. RESULTS: Out of 42 full-text reviews, 7 were found eligible. Diagnostic support and medical direction and decision for treatments were often reported. A key finding of this review was the high agreement between prehospital diagnoses via telemedicine and final in-hospital diagnoses, as supported by quantitative evidence. However, a majority of the articles described the clinical value of having access to remote experts without robust quantitative data. Most telemedicine solutions were evaluated within a feasibility or short-term preliminary study. In general, the results were positive for telemedicine use; however, biases, due to preintervention confounding factors and a lack of documentation on quality assurance and protocol for telemedicine activation, make it difficult to determine the direct effect on patient outcomes. CONCLUSIONS: The information-sharing capacity of telemedicine enables access to remote experts to support medical decision making on scene or in prolonged field care. The influence of human and technology factors on patient care is poorly understood and documented.