Background: Point of care serum lactate measurement is emerging as an adjunct to prehospital clinical assessment and has the potential to guide triage and advanced treatment decision-making. In this study we aimed to assess which factors potentially affect prehospital lactate levels. Methods: We performed a retrospective cohort study of all trauma patients attended by the Air Ambulance, Kent, Surrey & Sussex (AAKSS) between July 2017 and April 2018 in whom a pre-hospital lactate was measured. Lactate was measured before AAKSS treatments were commenced, but generally after prehospital treatment by ground ambulance crews was initiated. Primary endpoint of interest was the association of various patient-and treatment characteristics with prehospital lactate levels. Results: During the study period, lactate was measured in 156 trauma patients. Median lactate was 3.0 [2.0-4.1] mmol/l. Patients with an elevated lactate more often had deranged indices of end organ perfusion-and oxygenation (shock index 0.80 [0.58-1.03] vs 0.61 [0.40-0.82], p < 0.001, SpO 2 96 [89-100%] vs 98 [96-100%], p = 0.025). They more often suffered from head injuries (62% vs 41%, p = 0.008), and received less analgesia prior to arrival of the AAKSS team (51.6% vs 67.2%, p = 0.03). In multivariate analysis, indices of end organ perfusion-and oxygenation only explained 15% of the variation in lactate levels. Conclusions: Prehospital lactate levels are not solely associated with indices of end organ perfusion-and oxygenation. Injury type, treatments given on scene and many other (unmeasured) factors likely play an important role as well. This should be taken into account when lactate is used in clinical algorithms to guide prehospital triage or treatment.
Introduction Pre-hospital enhanced care teams like Helicopter Emergency Medical Services (HEMS) are often dispatched to major trauma patients, including patients with traumatic brain injuries and those with major haemorrhage. For these patients, minimizing the time to definitive care is vital. The aim of this study was to determine whether increased awareness of elapsed on scene time produces a relevant time performance improvement for major trauma patients attended by HEMS, and weather introducing such a timer was feasible and acceptable to clinicians. Methods We performed a prospective cohort study of all single casualty traumatic incidents attended by Air Ambulance Kent Surrey Sussex (AAKSS) between 15 October 2016 and 23 May 2017 to test if introduction of a prompting scene timer within the service resulted in a reduction in pre-hospital scene times. Results The majority of the patients attended were male (74%) and sustained blunt trauma (92%). Overall, median scene time was 25.5 [IQR16.3] minutes before introduction of the scene timer and 23.0 [11.0] minutes after introduction, p = 0.13). Scene times for patients with a GCS < 8 and for patients requiring prehospital anaesthesia were significantly lower after introduction of the timer (28 [IQR 14] vs 25 [1], p = 0.017 and 34 [IQR 13] vs 28 [IQR11] minutes, p = 0.007 respectively). The majority of clinicians felt the timer made them more aware of passing time (91%) but that this had not made a difference to scene time (62%) or their practice (57%). Conclusion Audible scene timers may have the potential to reduce pre-hospital scene time for certain single casualty trauma patients treated by a HEMS team, particularly for those patients needing pre-hospital anaesthesia. Regular use of on-scene timers may improve outcomes by reducing time to definitive care for certain subgroups of trauma patients.
IntroductionPre-hospital identification of patients with suspected occult traumatic haemorrhage is problematic. Physiological parameters and clinical gestalt are inadequate surrogates for ongoing haemorrhage. Lactate monitoring may hold stronger predictive clinical utility to identify patients with suspected traumatic haemorrhage above other physiological parameters.MethodsA single centre, service evaluation of pre-hospital lactate monitoring. A point of care test was introduced into a Helicopter Emergency Medical Service in the United Kingdom. Clinicians adhered to strict education and governance, supported by standard operating procedure. Systolic blood pressure (SBP) and shock index (SI) was measured in patients that received pre-hospital transfusion therapy. A predetermined ‘cut off’ value of lactate >2.5 mmol was acknowledged. In-hospital follow up established further transfusion therapy.ResultsWilcoxon rank sum compared pre-lactate (n=22) and post-lactate (n=6) groups. Monte Carlo permutations were used to obtain exact probabilities. No statistically significant differences were found between groups for: SBP, p=0.955; and, SI, p=0.401. Univariate logistic regression identified the odds ratio (OR) and confidence interval (CI) for each continuous variable as: SBP, 0.97 (CI 0.94 to 1.01); SI, 26.91 (CI 1.11 to 652.48) and lactate >2.5 mmol, 2.33 (CI 0.23 to 23.91). Multivariate logistic regression identified OR as: SBP, 0.99 (CI 0.95 to 1.04); SI, 22.98 (CI 0.56 to 946.44); and lactate >2.5 mmol, 3.05 (CI 0.14 to 65.86).ConclusionLactate monitoring has been successfully introduced into an enhanced care service. The Results confirm SBP is not predictive of further transfusion. The OR for SI shows greater predictive power. Limited by a small dataset, the Results are hypothesis-generating only.
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