Prehospital on-scene anaesthetist treating severe traumatic brain injury patients is associated with lower mortality and better neurological outcome

Background: Patients with isolated traumatic brain injury (TBI) are likely to benefit from effective prehospital care to prevent secondary brain injury. Only a few studies have focused on the impact of advanced interventions in TBI patients by prehospital physicians. The primary end-point of this study was to assess the possible effect of an on-scene anaesthetist on mortality of TBI patients. A secondary end-point was the neurological outcome of these patients. Methods: Patients with severe TBI (defined as a head injury resulting in a Glasgow Coma Score of Results: The mortality data for 651 patients and neurological outcome data for 634 patients were available for primary and secondary analysis. In the primary analysis higher age (OR 1.06 CI 1.05-1.07), lower on-scene GCS (OR 0.85 CI 0.79-0.92) and the unavailability of an on-scene anaesthetist (OR 1.89 CI 1.20-2.94) were associated with higher mortality together with hypotension (OR 3.92 CI 1.08-14.23). In the secondary analysis lower age (OR 0.95 CI 0.94-0.96), a higher on-scene GCS (OR 1.21 CI 1.20-1.30) and the presence of an on-scene anaesthetist (OR 1.75 CI 1.09-2.80) were demonstrated to be associated with good patient outcomes while hypotension (OR 0.19 CI 0.04-0.82) was associated with poor outcome. Conclusion: Prehospital on-scene anaesthetist treating severe TBI patients is associated with lower mortality and better neurological outcome.Peer reviewe

Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients?

Objectives: The prehospital research field has focused on studying patient survival in cardiac arrest, as well as acute coronary syndrome, stroke, and trauma. There is little known about the overall short-term mortality and its predictability in unselected prehospital patients. This study examines whether a prehospital National Early Warning Score (NEWS) predicts 1-day and 30-day mortalities. Methods: Data from all emergency medical service (EMS) situations were coupled to the mortality data obtained from the Causes of Death Registry during a six-month period in Northern Finland. NEWS values were calculated from first clinical parameters obtained on the scene and patients were categorized to the low, medium and high-risk groups accordingly. Sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), and likelihood ratios (PLRs and NLRs) were calculated for 1-day and 30-day mortalities at the cut-off risks. Results: A total of 12,426 EMS calls were included in the study. The overall 1-day and 30-day mortalities were 1.5 and 4.3%, respectively. The 1-day mortality rate for NEWS values = 13 higher than 20%. The high-risk NEWS group had sensitivities for 1-day and 30-day mortalities 0.801 (CI 0.74-0.86) and 0.42 (CI 0.38-0.47), respectively. Conclusion: In prehospital environment, the high risk NEWS category was associated with 1-day mortality well above that of the medium and low risk NEWS categories. This effect was not as noticeable for 30-day mortality. The prehospital NEWS may be useful tool for recognising patients at early risk of death, allowing earlier interventions and responds to these patients.Peer reviewe

Prehospital therapeutic hypothermia after cardiac arrest - from current concepts to a future standard

Therapeutic hypothermia has been shown to improve survival and neurological outcome after prehospital cardiac arrest. Existing experimental and clinical evidence supports the notion that delayed cooling results in lesser benefit compared to early induction of mild hypothermia soon after return of spontaneous circulation. Therefore a practical approach would be to initiate cooling already in the prehospital setting

Medevac- lääkinnällinen evakuointi

Teema : uhat ja poikkeusolo

Feasibility of LMA Supreme for airway management in unconscious patients by ALS paramedics

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Medical priority dispatch codes-comparison with National Early Warning Score

Background: In Finland, calls for emergency medical services are prioritized by educated non-medical personnel into four categories-from A (highest risk) to D (lowest risk)-following a criteria-based national dispatch protocol. Discrepancies in triage may result in risk overestimation, leading to inappropriate use of emergency medical services units and to risk underestimation that can negatively impact patient outcome. To evaluate dispatch protocol accuracy, we assessed association between priority assigned at dispatch and the patient's condition assessed by emergency medical services on the scene using an early warning risk assessment tool. Methods: Using medical charts, clinical variables were prospectively recorded and evaluated for all emergency medical services missions in two hospital districts in Northern Finland during 1.1.2014-30.6.2014. Risk assessment was then re-categorized as low, medium, or high by calculating the National Early Warning Score (NEWS) based on the patients' clinical variables measured at the scene. Results: A total of 12,729 emergency medical services missions were evaluated, of which 616 (4.8%) were prioritized as A, 3193 (25.1%) as B, 5637 (44.3%) as C, and 3283 (25.8%) as D. Overall, 67.5% of the dispatch missions were correctly estimated according to NEWS. Of the highest dispatch priority missions A and B, 76.9 and 78.3%, respectively, were overestimated. Of the low urgency missions (C and D), 10.7% were underestimated; 32.0% of the patients who were assigned NEWS indicating high risk had initially been classified as low urgency C or D priorities at the dispatch. Discussion and conclusion: The present results show that the current Finnish medical dispatch protocol is suboptimal and needs to be further developed. A substantial proportion of EMS missions assessed as highest priority were categorized as lower risk according to the NEWS determined at the scene, indicating over-triage with the protocol. On the other hand, only a quarter of the high risk NEWS patients were classified as the highest priority at dispatch, indicating considerable under-triage with the protocol.Peer reviewe

Pulseless electrical activity and successful out-of-hospital resuscitation - long-term survival and quality of life: an observational cohort study

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Hypothermia outcome prediction after extracorporeal life support for hypothermic cardiac arrest patients : The HOPE score

Aims: Currently, the decision to initiate extracorporeal life support for patients who suffer cardiac arrest due to accidental hypothermia is essentially based on serum potassium level. Our goal was to build a prediction score in order to determine the probability of survival following rewarming of hypothermic arrested patients based on several covariates available at admission. Methods: We included consecutive hypothermic arrested patients who underwent rewarming with extracorporeal life support. The sample comprised 237 patients identified through the literature from 18 studies, and 49 additional patients obtained from hospital data collection. We considered nine potential predictors of survival: age; sex; core temperature; serum potassium level; mechanism of hypothermia; cardiac rhythm at admission; witnessed cardiac arrest, rewarming method and cardiopulmonary resuscitation duration prior to the initiation of extracorporeal life support. The primary outcome parameter was survival to hospital discharge. Results: Overall, 106 of the 286 included patients survived (37%; 95% CI: 32-43%), most (84%) with a good neurological outcome. The final score included the following variables: age, sex, core temperature at admission, serum potassium level, mechanism of cooling, and cardiopulmonary resuscitation duration. The corresponding area under the receiver operating characteristic curve was 0.895 (95% CI: 0.859-0.931) compared to 0.774 (95% CI: 0.720-0.828) when based on serum potassium level alone. Conclusions: In this large retrospective study we found that our score was superior to dichotomous triage based on serum potassium level in assessing which hypothermic patients in cardiac arrest would benefit from extracorporeal life support. External validation of our findings is required.Peer reviewe

Feasibility of written instructions in airway management training of laryngeal tube

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