Assessing Fall Mortality by Field-Relevant Categories at an Urban Level I Trauma Center.

INTRODUCTION: Little research has focused on assessing the mortality for fall height based on field-relevant categories like falls from greater than standing (FFGS), falls from standing (FFS), and falls from less than standing. METHODS: This retrospective observational study included patients evaluated for a fall incident at an urban Level I Trauma Center or included in Medical Examiner's log from January 1, 2015, to June 31, 2017. Descriptive statistics characterized the sample based on demographic variables such as age, race, sex, and insurance type, as well as injury characteristics like relative fall height, Glasgow Coma Scale (GCS), Injury Severity Score (ISS), traumatic brain injury, intensive care unit length of stay, and mortality. Bivariate analysis included Chi-square tests for categorical variables and Student t-tests for continuous variables. Subsequent multiple logistic regression modeled significant variables from bivariate analyses, including age, race, insurance status, fall height, ISS, and GCS. RESULTS: When adjusting for sex, age, race, insurance, ISS, and GCS, adults ≥65 who FFS had 1.93 times the odds of mortality than those who FFGS. However, those <65 who FFGS had 3.12 times the odds of mortality than those who FFS. Additionally, commercial insurance was not protective across age groups. CONCLUSIONS: The mortality for FFS may be higher than FFGS under certain circumstances, particularly among those ≥65 y. Therefore, prehospital collection should include accurate assessment of fall height and surface (i.e., water, concrete). Lastly, commercial insurance was likely a proxy for industrial falls, accounting for the surprising lack of protection against mortality.

Point-of-Care Ultrasound to Detect Acute Large Vessel Occlusions in Stroke Patients: A Proof-of-Concept Study.

BACKGROUND AND PURPOSE: A primary admission of patients with suspected acute ischemic stroke and large vessel occlusion (LVO) to centers capable of providing endovascular stroke therapy (EVT) may induce shorter time to treatment and better functional outcomes. One of the limitations in this strategy is the need for accurately identifying LVO patients in the prehospital setting. We aimed to study the feasibility and diagnostic performance of point-of-care ultrasound (POCUS) for the detection of LVO in patients with acute stroke. METHODS: We conducted a proof-of-concept study and selected 15 acute ischemic stroke patients with angiographically confirmed LVO and 15 patients without LVO. Duplex ultrasonography (DUS) of the common carotid arteries was performed, and flow profiles compatible with LVO were scored independently by one experienced and one junior neurologist. RESULTS: Among the 15 patients with LVO, 6 patients presented with an occlusion of the carotid-T and 9 patients presented with an M1 occlusion. Interobserver agreement between the junior and the experienced neurologist was excellent (kappa = 0.813, p < 0.001). Flow profiles of the CAA allowed the detection of LVO with a sensitivity of 73%, a positive predictive value of 92 and 100%, and a c-statistics of 0.83 (95%CI = 0.65-0.94) and 0.87 (95%CI = 0.69-0.94) (experienced neurologist and junior neurologist, respectively). In comparison with clinical stroke scales, DUS was associated with better trade-off between sensitivity and specificity. CONCLUSION: POCUS in acute stroke setting is feasible, it may serve as a complementary tool for the detection of LVO and is potentially applicable in the prehospital phase.

Improved prehospital triage for acute cardiac care: results from HART-c, a multicentre prospective study.

BACKGROUND: Cardiac symptoms are one of the most prevalent reasons for emergency department visits. However, over 80% of patients with such symptoms are sent home after acute cardiovascular disease has been ruled out. OBJECTIVE: The Hollands-Midden Acute Regional Triage-cardiology (HART-c) study aimed to investigate whether a novel prehospital triage method, combining prehospital and hospital data with expert consultation, could increase the number of patients who could safely stay at home after emergency medical service (EMS) consultation. METHODS: The triage method combined prehospital EMS data, such as electrocardiographic and vital parameters in real time, and data from regional hospitals (including previous medical records and admission capacity) with expert consultation. During the 6­month intervention and control periods 1536 and 1376 patients, respectively, were consulted by the EMS. The primary endpoint was the percentage change of patients who could stay at home after EMS consultation. RESULTS: The novel triage method led to a significant increase in patients who could safely stay at home, 11.8% in the intervention group versus 5.9% in the control group: odds ratio 2.31 (95% confidence interval (CI) 1.74-3.05). Of 181 patients staying at home, only 1 (< 1%) was later diagnosed with ACS; no patients died. Furthermore the number of interhospital transfers decreased: relative risk 0.81 (95% CI 0.67-0.97). CONCLUSION: The HART­c triage method led to a significant decrease in interhospital transfers and an increase in patients with cardiac symptoms who could safely stay at home. The presented method thereby reduced overcrowding and, if implemented throughout the country and for other medical specialties, could potentially reduce the number of cardiac and non-cardiac hospital visits even further.

The Impact of Stroke Public Awareness Campaigns Differs Between Sociodemographic Groups.

BACKGROUND: Prehospital delays are a major obstacle to timely reperfusion therapy in acute ischemic stroke. Stroke sign recognition, however, remains poor in the community. We present an analysis of repeated surveys to assess the impact of Face, Arm, Speech, Time (FAST) public awareness campaigns on stroke knowledge. METHODS: Four cross-sectional surveys were conducted between July 2016 and January 2019 in the province of Quebec, Canada (n = 2,451). Knowledge of FAST stroke signs (face drooping, arm weakness and speech difficulties) was assessed with open-ended questions. A bilingual English/French FAST public awareness campaign preceded survey waves 1-3 and two campaigns preceded wave 4. We used multivariable ordinal regression models weighted for age and sex to assess FAST stroke sign knowledge. RESULTS: We observed an overall significant improvement of 26% in FAST stroke sign knowledge between survey waves 1 and 4 (odds ratio [OR] = 1.26; 95% CI: 1.02, 1.55; p = 0.035). After the last campaign, however, 30.5% (95% CI: 27.5, 33.6) of people were still unable to name a single FAST sign. Factors associated with worse performance were male sex (OR = 0.68; 95% CI: 0.53, 0.86; p = 0.002) and retirement (OR = 0.54; 95% CI: 0.35, 0.83; p = 0.005). People with lower household income and education had a tendency towards worse stroke sign knowledge and were significantly less aware of the FAST campaigns. CONCLUSIONS: Knowledge of FAST stroke signs in the general population improved after multiple public awareness campaigns, although it remained low overall. Future FAST campaigns should especially target men, retired people and individuals with a lower socioeconomic status.

Trauma center designation level and survival of patients with chest wall instability.

INTRODUCTION: Chest wall instability is a potentially life-threatening condition that should be evaluated at a trauma center. While patients with chest wall instability are sent to different trauma center levels, the impact of this on outcomes has not been evaluated yet. This study examines survival to hospital discharge of patients with chest wall instability treated at different trauma center levels. METHODS: This is an observational retrospective cohort study analyzed data from National Trauma Data Bank (NTDB) 2017 dataset. The study sample consisted of adult patients who presented with chest wall instability or deformity and for whom the ED disposition was recorded. Descriptive analysis was carried out. Hospital information, patients' demographic and clinical characteristics, and dispositions were compared based on the main independent variable "trauma designation level. This was followed by LASSO regression to determine the impact of the trauma designation level on patients' survival after controlling for most of the extracted factors from NTDB to conduct this study. RESULTS: The study sample consisted of 1172 patients sustaining chest wall instability or deformity. Most patients were males (78.2%) and had a median age of 52 years. Most were taken to level I (51.5%) or level II (43.2%) trauma centers. The overall survival to hospital discharge was 78.2%. After adjusting for confounders, no difference in patients' survival was noticed between those taken to level II [OR = 1.000; 95% confidence interval (CI): 0.976-1.025] or III [OR = 1.000; 95% CI: 0.993-1.007] trauma centers and those taken to level I centers. CONCLUSION: Survival rates for patients having chest wall instability were similar when transported to level II or level III versus level I centers. This finding can help guide pre-hospital field triage criteria for this specific type of injury and highlights the need for more outcome research in organized trauma systems.

Clinical significance of prehospital 12-lead electrocardiography in patients with ST-segment elevation myocardial infarction presenting with syncope: from a multicenter observational registry (K-ACTIVE study).

Patients with acute myocardial infarction (AMI) presenting with syncope have poor clinical outcomes partly due to a delay in the diagnosis. Although the impact of prehospital 12-lead electrocardiography (PHECG) on the reduction of first medical contact (FMC)-to-device time and subsequent adverse clinical events in patients with AMI has been demonstrated, the impact of PHECG for the patients presenting with syncope remains to be elucidated. This study aimed to explore the impact of PHECG on 30-day mortality in patients with ST-segment elevation myocardial infarction (STEMI) presenting with syncope. From a cohort of multi-center registry [Kanagawa-ACuTe cardIoVascular rEgistry (K-ACTIVE)], a total of 90 consecutive patients with STEMI presenting with syncope were included. The 30-day mortality were compared between patients with PHECG (PHECG group, n = 25) and those without PHECG (non-PHECG group, n = 65). There was no significant difference in the baseline clinical characteristics between the 2 groups. FMC-to-device time was significantly shorter in the PHECG group than in the non-PHECG group (122 [86, 128] vs. 131 [102, 153] min, p = 0.03) due to the shorter door-to-device time. Thirty-day mortality was significantly lower in the PHECG group than in the non-PHECG group (16.0 vs. 44.6%, p = 0.03). In conclusion, PHECG was associated with shorter FMC-to-device time and lower 30-day mortality in patients with STEMI presenting with syncope.

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study.

BACKGROUND: Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with logistic regression, the advanced machine learner XGBoost (eXtreme Gradient Boosting) is associated with reduced prehospital trauma mistriage. METHODS: We conducted a simulation study based on data from the US National Trauma Data Bank (NTDB) and the Swedish Trauma Registry (SweTrau). We used categorized systolic blood pressure, respiratory rate, Glasgow Coma Scale and age as our predictors. The outcome was the difference in under- and overtriage rates between the models for different training dataset sizes. RESULTS: We used data from 813,567 patients in the NTDB and 30,577 patients in SweTrau. In SweTrau, the smallest training set of 10 events per free parameter was sufficient for model development. XGBoost achieved undertriage rates in the range of 0.314-0.324 with corresponding overtriage rates of 0.319-0.322. Logistic regression achieved undertriage rates ranging from 0.312 to 0.321 with associated overtriage rates ranging from 0.321 to 0.323. In NTDB, XGBoost required the largest training set size of 1000 events per free parameter to achieve robust results, whereas logistic regression achieved stable performance from a training set size of 25 events per free parameter. For the training set size of 1000 events per free parameter, XGBoost obtained an undertriage rate of 0.406 with an overtriage of 0.463. For logistic regression, the corresponding undertriage was 0.395 with an overtriage of 0.468. CONCLUSION: The under- and overtriage rates associated with the advanced machine learner XGBoost were similar to the rates associated with logistic regression regardless of sample size, but XGBoost required larger training sets to obtain robust results. We do not recommend using XGBoost over logistic regression in this context when predictors are few and categorical.

Predictors of Hospital Mortality in Patients with Acute Coronary Syndrome Complicated by Cardiogenic Shock.

As demonstrated by earlier studies, pre-hospital triage with trans-telephonic electrocardiogram (TTECG) and direct referral for catheter therapy shows great value in the management of out-of-hospital chest pain emergencies. It does not only improve in-hospital mortality in ST-segment elevation myocardial infarction, but it has also been identified as an independent predictor of higher in-hospital survival rate. Since TTECG-facilitated triage shortens both transport time and percutaneous coronary intervention (PCI)-related procedural time intervals, it was hypothesized that even high-risk patients with acute coronary syndrome (ACS) and cardiogenic shock (CS) might also benefit from TTECG-based triage. Here, we decided to examine our database for new triage- and left ventricular (LV) function-related parameters that can influence in-hospital mortality in ACS complicated by CS. ACS patients were divided into two groups, namely, (1) hospital death patients (n = 77), and (2) hospital survivors (control, n = 210). Interestingly, TTECG-based consultation and triage of CS and ACS patients were confirmed as significant independent predictors of lower hospital mortality risk (odds ratio (OR) 0.40, confidence interval (CI) 0.21-0.76, p = 0.0049). Regarding LV function and blood chemistry, a good myocardial reperfusion after PCI (high area at risk (AAR) blush score/AAR LV segment number; OR 0.85, CI 0.78-0.98, p = 0.0178) and high glomerular filtration rate (GFR) value at the time of hospital admission (OR 0.97, CI 0.96-0.99, p = 0.0042) were the most crucial independent predictors of a decreased risk of in-hospital mortality in this model. At the same time, a prolonged time interval between symptom onset and hospital admission, successful resuscitation, and higher peak creatine kinase activity were the most important independent predictors for an increased risk of in-hospital mortality. In ACS patients with CS, (1) an early TTECG-based teleconsultation and triage, as well as (2) good myocardial perfusion after PCI and a high GFR value at the time of hospital admission, appear as major independent predictors of a lower in-hospital mortality rate.

Telestroke Consultation in the Emergency Medical Services Unit: A Novel Approach to Improve Thrombolysis Times.

BACKGROUND: Faster treatment times are associated with improved outcomes in patients with acute ischemic stroke. In this prospective pilot study, we assess the feasibility of initiating telestroke consultation in emergency medical services unit (TEMS). METHODS: Patients with stroke symptoms were evaluated via TEMS using a video-call with a stroke provider. After TEMS evaluation, patients were transferred to the nearest stroke center (NSC) or thrombectomy capable center (TCS) depending on stroke severity and symptom onset time. We compared time metrics between patients evaluated via TEMS to those via standard telestroke (STS) consultation. RESULTS: 49 patients were evaluated via TEMS between May 2017 and March 2020. Median age was 66, 24 (49%) were females, 15 (30.6%) received intravenous alteplase (tPA) after arrival to a local hospital, and 3 (6.1%) underwent mechanical thrombectomy (MT) after bypassing the NSC. Compared to 52 tPA patients treated through STS consultation, TEMS patients had shorter door to needle (DTN) time (21 vs. 38 min, p < 0.001). In addition, patients who received MT after bypassing the NSC had shorter onset to groin time compared to those transferred from NSC (216 vs. 293 min, P = 0.04). CONCLUSION: Prehospital stroke triaging using TEMS is feasible, and could result in shorter DTN and onset to groin times.

Correlation Between the Revised Trauma Score and Injury Severity Score: Implications for Prehospital Trauma Triage.

OBJECTIVE: Prehospital triage of the seriously injured patient is fraught with challenges, and trauma scoring systems in current triage guidelines warrant further investigation. The primary objective of this study was to assess the correlation of the physiologically based Revised Trauma Score (RTS) and MGAP score (mechanism of injury, Glasgow Coma Scale, age, blood pressure) with the anatomically based Injury Severity Score (ISS). The secondary objectives for this study were to compare the accuracy of the MGAP score and the RTS for the prediction of in-hospital mortality for trauma patients. METHODS: This study was a retrospective cohort including 10 years of patient data in a large single-center trauma registry at a primary adult resource center (Level I) for trauma patients. Participants included adults (age ≥18 years). The primary outcome measure was injury severity (measured by ISS) and a secondary analysis compared the RTS and MGAP for the prediction of patient mortality. Descriptive statistics were used to describe the cohort and correlation methods were employed. Each score's accuracy for the prediction of mortality was calculated using the area under receiver operating characteristic (AUROC) curves. RESULTS: In total, 43,082 trauma patient records were reviewed; 32,798 patients had complete RTS data available and 32,371 patients had complete data available for MGAP analyses. The correlation between scene RTS and ISS was poor (-.29), as was the correlation between MGAP and ISS (-.28). For the prediction of mortality, admission MGAP demonstrated the highest sensitivity and specificity for mortality (AUROC 0.96; 95% CI, 0.95-0.96). CONCLUSIONS: While elements of the RTS remain the first criterion recommended to quantify the totality of physiological injury severity, the composite RTS score derived from this system correlates poorly with actual anatomical injury severity. The MGAP scoring system demonstrated higher sensitivity and specificity for mortality but was not superior to the RTS for predicting anatomical injury severity. In the future development of national and international field triage guidelines for trauma patients, the findings from this study may be considered in order to improve the accuracy of prehospital triage. The findings in this analysis complement a growing body of evidence that suggests that MGAP may be a superior and more easily calculable prehospital scoring system for the prediction of mortality in trauma patients.

Impact of Prehospital Triage Scales to Detect Large Vessel Occlusion on Resource Utilization and Time to Treatment.

BACKGROUND AND PURPOSE: Prehospital stroke severity scales may help to triage acute ischemic stroke patients with large vessel occlusion (LVO) for direct transportation to a comprehensive stroke center. The impact on resource use and time to reperfusion treatment for patients with and without LVO is unknown. METHODS: Based on empirical distributions of stroke symptom severity, prehospital delay times, and stroke symptom severity-dependent likelihood of LVO, we simulate prehospital incidents of stroke-like symptoms in abstract geographical environments to estimate the impact of prehospital triage strategies based on different cutoffs of the rapid arterial occlusion evaluation scale. RESULTS: Compared with transporting each patient to the nearest stroke center, implementation of a prehospital triage strategy based on a rapid arterial occlusion evaluation scale cutoff score ≥5 is associated with more patients with suspected acute stroke at comprehensive stroke centers and less patients at primary stroke centers (+11.7% [95% confidence interval: +8.1% to +15.3%] and -18.4% [-19.1% to -17.7%], respectively). Mean time to groin puncture is reduced by 29.6 minutes (-35.2 to -24.7 minutes) while mean time to thrombolysis does not change significantly (±0.0 minutes [-0.3 to +0.3 minutes]). The total number of secondary transfers is reduced by 60.9% (-62.8% to -59.0%); mean time of ambulance use per patient is unchanged. Results are robust with regards to variation in model parameters. CONCLUSIONS: Implementation of prehospital triage based on stroke severity scales would have strong impact on patient flow and distribution. The benefit of earlier thrombectomy for patients with LVO may outweigh the harm associated with delayed access to thrombolysis for some patients without LVO. Randomized trials using clinical stroke severity scales as a triage tool are needed to confirm our findings.

Clinical benefit of improved Prehospital stroke scales to detect stroke patients with large vessel occlusions: results from a conditional probabilistic model.

BACKGROUND: Clinical scales to detect large vessel occlusion (LVO) may help to determine the optimal transport destination for patients with suspected acute ischemic stroke (AIS). The clinical benefit associated with improved diagnostic accuracy of these scales has not been quantified. METHODS: We used a previously reported conditional model to estimate the probability of good outcome (modified Rankin scale sore ≤2) for patients with AIS and unknown vessel status occurring in regions with greater proximity to a primary than to a comprehensive stroke center. Optimal rapid arterial occlusion evaluation (RACE) scale cutoff scores were calculated based on time-dependent effect-size estimates from recent randomized controlled trials. Probabilities of good outcome were compared between a triage strategy based on these cutoffs and a strategy based on a hypothetical perfect LVO detection tool with 100% diagnostic accuracy. RESULTS: In our model, the additional benefit of a perfect LVO detection tool as compared to optimal transport-time dependent RACE cutoff scores ranges from 0 to 5%. It is largest for patients with medium stroke symptom severity (RACE score 5) and in geographic environments with longer transfer time between the primary and comprehensive stroke center. CONCLUSION: Based on a probabilistic conditional model, the results of our simulation indicate that more accurate prehospital clinical LVO detections scales may be associated with only modest improvements in the expected probability of good outcome for patients with suspected acute ischemic stroke and unknown vessel status.

Stroke Mimics Transported by Emergency Medical Services to a Comprehensive Stroke Center: The Magnitude of the Problem.

BACKGROUND: Despite the use of validated prehospital stroke scales, stroke mimics are frequent among patients transported by Emergency Medical Services to the Emergency Department. We aimed to describe the frequency and characteristics of neurological and non-neurological mimics transported to a comprehensive stroke center for acute stroke evaluation. METHODS: This was a retrospective analysis of a database consisting of all consecutive patients with suspected stroke transported to the Emergency Department of a comprehensive stroke center during an 18-month period. Hospital charts and neuroimaging were utilized to adjudicate the final diagnosis (acute stroke, stroke mimic, and specific underlying diagnoses). RESULTS: Nine hundred fifty patients were transported with suspected stroke, among whom 405 (42.6%) were stroke mimics (age 66.9 ± 17.1 years; 54% male). Neurological mimics were diagnosed in 223 (55.1%) patients and mimics were non-neurological in 182. The most common neurological diagnoses were seizures (19.7%), migraines (18.8%), and peripheral neuropathies (11.2%). Cardiovascular (14.6%) and psychiatric (11.9%) diagnoses were common non-neurological mimics. Patients with neurological mimics were younger (64.1 ± 17.3 years versus 70.5 ± 16.1 years, P < .001) and had less vascular risk factors than non-neurological mimics. The proportion of non-neurological mimics remained high (38%) despite the use of a prehospital stroke identification scale. CONCLUSIONS: Stroke mimics are common among patients transported by Emergency Medical Services to a comprehensive stroke center for suspected stroke, with a considerable proportion being non-neurological in origin. Studies refining triage and transport of suspected acute stroke may be warranted to minimize the number of mimics transported by to a comprehensive stroke center for acute stroke evaluation.

Pre-hospital diagnosis and transfer of patients with acute myocardial infarction--a decade long experience from one of Europe's largest STEMI networks.

Early reperfusion in patients with ST-segment elevation myocardial infarction (STEMI) is essential. Although primary percutaneous coronary intervention (pPCI) is the preferred revascularization technique, it often involves longer primary transportation or secondary inter-hospital transfers and thus longer system related delays. The current ESC Guidelines state that PCI should be performed within 120 minutes from first medical contact, and door-to-balloon time should be <60 minutes in order to reduce long term mortality. STEMI networks should be established with regionalization of pPCI treatment to address the challenges regarding pre-hospital treatment, triage and transport of STEMI patients and collaborations between hospitals and Emergency Medical Services (EMS). We report on a regional decade long experience from one of Europe's largest STEMI networks located in Eastern Denmark, which serves a catchment area of 2.5 million inhabitants by processing ~4000 prehospital ECGs annually transmitted from 4 EMS systems to a single pPCI center treating 1100 patients per year. This organization has led to a significant improvement of the standard of therapy for acute myocardial infarction (MI) patients leading to historically low 30-day mortality for STEMI patients (<6%). About 70-80% of all STEMI patients are being triaged from the field and rerouted to the regional pPCI center. Significant delays are still found among patients who present to local hospitals and for those who are first admitted to a local emergency room and thus subject to inter-hospital transfer. In the directly transferred group, approximately 80% of patients can be treated within the current guideline time window of 120 minutes when triaged within a 185 km (~115 miles) radius. Since 2010, a Helicopter Emergency Medical Service has been implemented for air rescue. Air transfer was associated with a 20-30 minute decrease from first medical contact to pPCI, at distances down to 90 km from the pPCI center and with a trend toward better survival among air transported patients. The pPCI center also serves a small island in the Baltic Sea, where STEMI patients are rescued via air force helicopters. Based on data from more than 100 patients transferred over the past decade, we have found a similar in-hospital and long term mortality rate compared to the main island inhabitants. In conclusion, with the optimal collaboration within a STEMI network including local hospitals, university clinics, EMS and military helicopters using the same telemedicine system and field triage of STEMI patients, most patients can be treated within the time limits suggested by the current guidelines. These organizational changes are likely to contribute to the improved mortality rate for STEMI patients.

Emergency medical services triage using the emergency severity index: is it reliable and valid?

INTRODUCTION: Efficient communication between emergency medical services (EMS) and ED providers using a common triage system may enable more effective transfers when EMS arrives in the emergency department. We sought (1) to evaluate inter-rater reliability between Emergency Severity Index (ESI) assignments designated by EMS personnel and emergency triage nurses (registered nurses [RNs]) and (2) to evaluate the validity of EMS triage assignments using the ESI instrument. METHODS: This prospective, observational study evaluated inter-rater reliability in ESI scores assigned by prehospital personnel and RNs. EMS providers were trained to use the ESI by the same methods used for nurse training. EMS personnel assigned triage scores to patients independent of assignments by the RN. Inter-rater reliability, differences based on provider experience, and validity of EMS triage assignments (sensitivity and specificity) were evaluated. RESULTS: Seventy-five paired, blinded triages were completed. Overall concordance between EMS providers and RNs was 0.409 (95% confidence interval [CI], 0.256-0.562). Agreement for EMS providers with less experience was 0.519 (95% CI, 0.258-0.780), whereas concordance for those with more experience was 0.348 (95% CI, 0.160-0.536; χ(2) = 1.413, df = 1, P = .235). Sensitivity ranged from 0% to 67.86%. Specificity ranged from 68.09% to 97.26%. CONCLUSIONS: We observed moderate concordance between EMS and RN ESI triage assignments. EMS sensitivity for correct acuity assignment was generally poor, whereas specificity for correctly not assigning a particular level was better. Additional research investigating the potential causes of the poor agreement that we observed is warranted.

Prehospital ETCO2 is predictive of death in intubated and non-intubated patients.

BACKGROUND: Prehospital identification of shock in trauma patients lacks accurate markers. Low end tidal carbon dioxide (ETCO2) correlates with mortality in intubated patients. The predictive value of ETCO2 obtained by nasal capnography cannula (NCC) is unknown. We hypothesized that prehospital ETCO2 values obtained by NCC and in-line ventilator circuit (ILVC) would be predictive of mortality. METHODS: This was a prospective, observational, multicenter study. ETCO2 values were collected by a NCC or through ILVC. AUROCs were compared with prehospital systolic blood pressure (SBP) and shock index (SI). The Youden index defined optimal cutoffs. RESULTS: Of 550 enrolled patients, 487 (88.5%) had ETCO2 measured through an NCC. Median age was 37 (27-52) years; 76.5% were male; median ISS was 13 (5-22). Mortality was 10.4%. Minimum prehospital ETCO2 significantly predicted mortality with an AUROC of 0.76 (CI 0.69-0.84; Youden index â€‹= â€‹22 â€‹mmHg), outperforming SBP with an AUROC of 0.68; (CI 0.62-0.74, p â€‹= â€‹0.04) and shock index with an AUROC of 0.67 (CI 0.59-0.74, p â€‹= â€‹0.03). CONCLUSION: Prehospital ETCO2 measured by non-invasive NCC or ILVC may be predictive of mortality in injured patients.

Evaluation of a Portable Blood Gas Analyzer for Prehospital Triage in Carbon Monoxide Poisoning: Instrument Validation Study.

BACKGROUND: Carbon monoxide (CO) poisoning is an important cause of morbidity and mortality worldwide. Symptoms are mostly aspecific, making it hard to identify, and its diagnosis is usually made through blood gas analysis. However, the bulkiness of gas analyzers prevents them from being used at the scene of the incident, thereby leading to the unnecessary transport and admission of many patients. While multiple-wavelength pulse oximeters have been developed to discriminate carboxyhemoglobin (COHb) from oxyhemoglobin, their reliability is debatable, particularly in the hostile prehospital environment. OBJECTIVE: The main objective of this pilot study was to assess whether the Avoximeter 4000, a transportable blood gas analyzer, could be considered for prehospital triage. METHODS: This was a monocentric, prospective, pilot evaluation study. Blood samples were analyzed sequentially with 2 devices: the Avoximeter 4000 (experimental), which performs direct measurements on blood samples of about 50 µL by analyzing light absorption at 5 different wavelengths; and the ABL827 FLEX (control), which measures COHb levels through an optical system composed of a 128-wavelength spectrophotometer. The blood samples belonged to 2 different cohorts: the first (clinical cohort) was obtained in an emergency department and consisted of 68 samples drawn from patients admitted for reasons other than CO poisoning. These samples were used to determine whether the Avoximeter 4000 could properly exclude the diagnosis. The second (forensic) cohort was derived from the regional forensic center, which provided 12 samples from documented CO poisoning. RESULTS: The mean COHb level in the clinical cohort was 1.7% (SD 1.8%; median 1.2%, IQR 0.7%-1.9%) with the ABL827 FLEX versus 3.5% (SD 2.3%; median 3.1%, IQR 2.2%-4.1%) with the Avoximeter 4000. Therefore, the Avoximeter 4000 overestimated COHb levels by a mean difference of 1.8% (95% CI 1.5%-2.1%). The consistency of COHb readings by the Avoximeter 4000 was excellent, with an intraclass correlation coefficient of 0.97 (95% CI 0.93-0.99) when the same blood sample was analyzed repeatedly. Using prespecified cutoffs (5% in nonsmokers and 10% in smokers), 3 patients (4%) had high COHb levels according to the Avoximeter 4000, while their values were within the normal range according to the ABL827 FLEX. Therefore, the specificity of the Avoximeter 4000 in this cohort was 95.6% (95% CI 87%-98.6%), and the overtriage rate would have been 4.4% (95% CI 1.4%-13%). Regarding the forensic samples, 10 of 12 (83%) samples were positive with both devices, while the 2 remaining samples were negative with both devices. CONCLUSIONS: The limited difference in COHb level measurements between the Avoximeter 4000 and the control device, which erred on the side of safety, and the relatively low overtriage rate warrant further exploration of this device as a prehospital triage tool.

Prehospital Triage by Lay Person First Responders: A Scoping Review and Proposal for a new Prehospital Triage Tool.

OBJECTIVE: The primary aim of this study is to review the available tools for prehospital triage in case of mass casualty incidents and secondly, to develop a tool which enables lay person first responders (LPFRs) to perform triage and start basic life support in mass casualty incidents. METHODS: In July 2019, online databases were consulted. Studies addressing prehospital triage methods for lay people were analyzed. Secondly, a new prehospital triage tool for LPFRs was developed. Therefore, a search for prehospital triage models available in literature was conducted and triage actions were extracted. RESULTS: The search resulted in 6188 articles, and after screening, a scoping review of 4 articles was conducted. All articles stated that there is great potential to provide accurate prehospital triage by people with no healthcare experience. Based on these findings, and combined with the pre-existing prehospital triage tools, we developed a, not-yet validated, prehospital triage tool for lay people, which may improve disaster awareness and preparedness and might positively contribute to community resilience. CONCLUSION: The prehospital triage tool for lay person first responders may be useful and may help professional medical first responders to determine faster, which casualties most urgently need help in a mass casualty incident.

Prehospital stroke mimics in the Stockholm Stroke Triage System.

Introduction: In 2017, Stockholm implemented a new prehospital stroke triage system (SSTS) directing patients with a likely indication for thrombectomy to the regional comprehensive stroke center (CSC) based on symptom severity and teleconsultation with a physician. In Stockholm, 44% of patients with prehospital code stroke have stroke mimics. Inadvertent triage of stroke mimics to the CSC could lead to inappropriate resource utilization. Aims: To compare the characteristics between (1) triage-positive stroke mimics and stroke (TP mimics and TP stroke) and (2) triage-negative stroke mimics and stroke (TN mimics and TN stroke) and to (3) compare the distribution of stroke mimic diagnoses between triage-positive and triage-negative cases. Methods: This prospective observational study collected data from October 2017 to October 2018, including 2,905 patients with suspected stroke who were transported by code-stroke ambulance to a Stockholm regional hospital. Patients directed to the CSC were defined as triage-positive. Those directed to the nearest stroke center were defined as triage-negative. Results: Compared to individuals with TP stroke (n = 268), those with TP mimics (n = 55, median 64 vs. 75 years, P < 0.001) were younger and had lower NIHSS score (median 7 vs. 15, P < 0.001). Similarly, those with TN mimics (n = 1,221) were younger than those with TN stroke (n = 1,361, median 73 vs. 78 years, P < 0.001) and had lower NIHSS scores (median 2 vs. 4, P < 0.001). Functional paresis was more common in those with TP mimics than in those with TN mimics, 18/55 (32.7%) vs. 82/1,221 (6.7%), P < 0.001. Systemic infection was less common in those with TP mimics than in those with TN mimics, 1/55 (1.8%) vs. 160/1,221 (13.1%), P < 0.011. There was a trend toward "syncope, hypotension, or other cardiovascular diagnosis" being less common in those with TP mimics than in those with TN mimics, 1/55 (1.8%) vs. 118/1,221 (9.7%), P < 0.055. Conclusions: In the SSTS, those with triage-positive and triage-negative stroke mimics were younger and had less severe symptoms than patients with stroke. All patients with TP mimics who had hemiparesis but overall exhibited less severe symptoms against true stroke but more severe symptoms than those with TN mimics were triaged to the nearest hospital. Over-triage of functional paresis to the CSC was relatively common. Meanwhile, a large majority of cases with minor symptoms caused by stroke mimics was triaged correctly by the SSTS to the nearest stroke center.