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Introduction: In addition to key interventions, including bystander CPR and defibrillation, successful resuscitation of out-of-hospital cardiac arrest (OHCA) is also associated with several patient-level factors, including a shockable presenting rhythm, younger age, Caucasian race and female sex. An additional patient-level factor that may influence outcomes is patient weight, yet this attribute has not been extensively studied within the context of OHCA, despite globally increasing obesity rates. Objective: To assess the relationship between patient weight and return of spontaneous circulation (ROSC) during OHCA. Methods: This retrospective study included adult patients from a national emergency medical services (EMS) patient record, with witnessed, non-traumatic OHCA prior to EMS arrival from January to December 2020. Logistic regression was used to evaluate the relationship between patient weight and ROSC. Results: Complete records were available for 9096 patients, of which 64.3% were males and 25.3% were ethnic minorities. The mean age of the participants was 65.01 years (SD = 15.8), with a mean weight of 93.52 kg (SD = 31.5). Altogether, 81.8% of arrests were of presumed cardiac aetiology and 30.3% presented with a shockable rhythm. Bystander CPR and automated external defibrillator (AED) shock were performed in 30.6% and 7.3% of cases, respectively, and 44.0% experienced ROSC. ROSC was less likely with patient weight >100 kg (OR = 0.709, p <0.001), male sex (OR = 0.782, p <0.001), and increasing age and EMS response time (OR = 0.994 per year, p <0.001 and OR = 0.970 per minute, p <0.001, respectively). Patients with shockable rhythms were more likely to achieve ROSC (OR = 1.790, p <0.001), as were patients receiving bystander CPR (OR = 1.170, p <0.001) and defibrillation prior to EMS arrival (OR = 1.658, p <0.001). Although the mean first adrenaline dose (mg/kg) followed a downward trend due to its non-weight-based dosing scheme, the mean total adrenaline dose administered to achieve ROSC demonstrated an upward linear trend of 0.05 mg for every 5 kg of body weight. Conclusions: Patient weight was negatively associated with ROSC and positively associated with the total adrenaline dose required to attain ROSC.

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During and subsequent to a natural disaster, there is an expectation that certain elements of society will continue to operate with a degree of normalcy. For example, it is expected that emergency medical services will continue to function and remain reliable for the community served. Expectations such as these are based on the presumed reliability of government and the assumption that those responsible for the relevant infrastructure will have made plans to ensure it remains functional and taken steps to mitigate known weaknesses. The COVID-19 pandemic provides a case in point. Specifically, data captured during the pandemic are now the subject of ongoing review and analysis, and the findings from such studies are being used to inform planning and preparedness for the next public health disaster. This particular study was conducted in response to circumstantial evidence indicating that frontline workers in the healthcare profession may share some of the same ambivalence towards transmission mitigation as seen in the general population when confronted with new and emerging communicable diseases. This is a concern, as when medical personnel are either unable or unwilling to take reasonable steps to protect themselves and their patients, it undermines the readiness of the essential service. To explore this situation in greater depth, the study examines the real-time responses from a sample of frontline personnel interviewed during the pandemic. The results indicate that there are a number of opportunities to improve workforce readiness to assure reliable continuity during the next outbreak, epidemic or pandemic.

Asunto(s)

COVID-19 , Servicios Médicos de Urgencia , Humanos , Servicios Médicos de Urgencia/organización & administración , Vacunas contra la COVID-19 , Vacilación a la Vacunación/psicología , Pandemias , SARS-CoV-2 , Actitud del Personal de Salud

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INTRODUCTION: Cardiac arrest patients presenting with non-shockable rhythms have a low probability of survival, and epinephrine is one of the few pharmaceutical options for this group. The recommended 1.0 mg adult dose is extrapolated from early animal studies and lacks adjustment for patient weight. Although several prior studies have investigated "low-" and "high-" dose epinephrine, none have identified a benefit to either strategy. AIMS: To identify an optimal weight-based epinephrine dose for return-of-spontaneous-circulation (ROSC) after a single bolus among patients with low likelihood of survival. METHODS: Included were adult patients who experienced a witnessed, non-traumatic out-of-hospital cardiac arrest prior to EMS arrival. Patients with shockable presenting rhythms or receiving bystander CPR were excluded. The AUROC was used to assess the predictive value of epinephrine dose (mg/kg) for ROSC following a single bolus. From the ROC curve, the optimal threshold dosage (OTD) was determined using the Youden Index. A logistic regression model calculated the adjusted odds ratio of OTD on ROSC. RESULTS: A total of 2,463 patients met inclusion criteria, of which 190 (7.7%) attained ROSC after the first epinephrine administration. The dosage AUROC for ROSC was 0.603 (p < 0.01). As calculated by the Youden index, the OTD was 0.013 mg/kg. Patients receiving ≥ OTD were more likely to attain ROSC after a single epinephrine bolus (OR = 2.25,p < 0.001). CONCLUSIONS: Among patients with a low likelihood of survival, the optimal dose of epinephrine for attaining ROSC with a single bolus of epinephrine was 0.013 mg/kg. These findings should inspire further investigation into optimal dosing strategies for epinephrine.

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OBJECTIVE: Previous investigations of the relationship between obesity and difficult airway management have provided mixed results. Almost universally, these studies were conducted in the hospital setting, and the influence of patient body weight on successful prehospital airway management remains unclear. Because patient weight could be one readily identifiable risk factor for problematic airway interventions, we sought to evaluate this relationship. METHODS: We conducted a retrospective analysis using the 2020 ESO Data Collaborative dataset. The inclusion criteria consisted of adult patients weighing >30kg with an attempted orotracheal intubation (OTI) and/or blind insertion airway device (BIAD) placement. Separate logistic regression models were developed to determine the influence of weight (dichotomized at 100 kg) on cumulative procedure success for OTI and BIAD, and linear regression models were used to identify trends for each across weight strata. RESULTS: A total of 45,344 patients met inclusionary criteria, among which 40,668(89.7%) suffered from a medical emergency, followed by 3,130(6.9%) with traumatic injuries, and 1,546(3.4%) attributable to a combined medical-trauma etiology. Cardiac arrest occurred either prior to EMS arrival or at some point during EMS care in 38,210(84.3%) patients. OTI was attempted in 18,153(40.0%) patients, while 21,597(47.6%) had a BIAD attempt and 5,594(12.3%) had both airway types attempted. The overall cumulative insertion success rates for OTI and BIAD were 79.5% and 92.7%, respectively. Altogether, 2,711(6.0%) had no advanced airway of any type successfully placed, which represents the overall failed advanced airway rate. After controlling for patient age, sex, minority status, and call type (medical vs. trauma), weight >100kg was associated with decreased likelihood of cumulative OTI success (OR = 0.64, p < 0.001), but higher likelihood of cumulative BIAD success (OR = 1.31, p < 0.001). Cumulative OTI success was associated with a negative 0.6% linear trend per 5 kg of body weight (p < 0.001) while cumulative BIAD success had a 0.2% positive trend (p < 0.001). CONCLUSION: This retrospective analysis of a national EMS database revealed that increasing patient weight was negatively associated with intubation success. A positive, but smaller, linear trend was observed for BIAD placement. Patient weight may be an easily identifiable predictor of difficult oral intubation and may be a consideration when selecting an airway management strategy.

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INTRODUCTION: Recently, burnout has amassed considerable attention because of deleterious effects on workers and the work environment. Frequently, EMS clinicians find themselves prone to experiencing burnout, yet little is known about etiologies in this population. OBJECTIVE: To estimate prevalence and predictors of burnout in EMS clinicians. METHODS: This was a cross-sectional survey study of nine EMS agencies from North Carolina selected based on geography and population. Emergency medical technicians (EMTs), advanced EMTs, and paramedics were included. Emergency medical responders and air medical personnel were excluded if those positions were a primary occupational function. The Professional Quality of Life (ProQOL) Scale was used to assess burnout. Parametric and nonparametric testing was used to assess factors potentially affecting burnout. Factors significant in univariate analyses were included in a hierarchical linear regression model to determine unique predictors of burnout while controlling for confounders. The area under the curve (AUC) of the receiver operating characteristic (ROC) was used to determine model predictability. RESULTS: A total of 686 EMS clinicians completed the survey. Overall, 57.3% (n = 393) were likely to have burnout. Of the 328 respondents who were likely to have burnout, 254 (77.4%) and 211 (75.1%) also were identified as likely to suffer from compassion fatigue or vicarious trauma, respectively. Overall, 152 (22.2%) were likely to suffer from all three stress disorders, 118 (56.5%) of which scored high enough to potentially produce immune system dysregulation. Prior suicidal thoughts ((sr2 = 0.042, p < 0.001), attempts (sr2 = 0.025, p < 0.001) or the presence of vicarious trauma (sr2 = 0.040, p < 0.001) accounted for 4.2%, 2.5%, and 4.0% of model variance, respectively. Years of field experience (sr2 = 0.035, p < 0.001) and credential level (sr2 = 0.011, p = 0.005) accounted for 4.6% of model variance. Finally, a respondent's experience or knowledge of debriefing (sr2 = 0.008, p = 0.023); experiencing adversity in childhood in the form of familial mental illness, depression, or suicide (sr2 = 0.009, p = 0.016); or the incarceration of a family member (sr2 = 0.010, p = 0.011) accounted for a combined 2.7% of model variance. Model predictability showed an AUCROC of 81.5%. CONCLUSIONS: This study showed a nearly 60% prevalence of occupational burnout in the group of EMS clinicians surveyed, making burnout of considerable concern in this population. Further study is needed to address occupational factors that contribute to burnout in EMS clinicians.