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Introduction: Both the Accreditation Council for Graduate Medical Education (ACGME) and the American Osteopathic Association (AOA) require core faculty to engage in scholarly work, including publication in peer-reviewed journals. With the ACGME/AOA merger, we sought to evaluate the frequency of publication in high-impact peer-reviewed EM journals from authors affiliated with osteopathic emergency medicine (EM) programs.

Methods: We performed a retrospective literature review using the Journal Citation Report database and identified the top five journals in the category of ‘Emergency Medicine’ by their 2011 Impact Factor. We examined all publications from each journal for 2011. For each article we recorded article type, authors’ names, position of authorship (first, senior or other), the author’s degree and affiliated institution. We present the data in raw numbers and percentages.

Results: The 2011 EM journals with the highest impact factor were the following: Annals of Emergency Medicine, Resuscitation, Journal of Trauma, Injury, and Academic Emergency Medicine. Of the 9,298 authors published in these journals in 2011; 1,309 (15%) claimed affiliation with U.S.-based EM programs, of which 16 (1%) listed their affiliations with eight different osteopathic EM programs. The 16 authors claimed affiliation with 8 of 46 osteopathic EM programs (17%), while 1,301 authors claimed affiliation with 104 of 148 (70%) U.S.-based allopathic programs.

Conclusion: Authors from osteopathic EM programs are under-represented in the top EM journals.  With the pending ACGME/AOA merger, there is a significant opportunity for improvement in the rate of publication of osteopathic EM programs in top tier EM journals. [West J Emerg Med. 2014;15(7):-0.]

CasePresentation: A 50-year-old male with a history of multiple sclerosis with dizziness and nystagmus presented to the emergency department. On physical exam, nystagmus was noted. Computed tomography of the head without contrast was obtained showing a low density in the left frontal lobe. During admission, magnetic resonance imaging (MRI) findings were consistent with Balò’s concentric sclerosis.

Discussion: Balò’s concentric sclerosis is a rare, inflammatory demyelinating disease, often considered to be an infrequent variant of multiple sclerosis with alternating rings of healthy myelin and demyelination leading to pathognomonic findings of concentric lamella on T2 or contrast-enhanced T1 MRI imaging.

Introduction: Video laryngoscopy (VL) has been advocated for several aspects of emergency airway management; however, there are still concerns over its use in select patient populations such as those with large volume hematemesis secondary to gastrointestinal (GI) bleeds. Given the relatively infrequent nature of this disease process, we sought to compare intubation outcomes between VL and traditional direct laryngoscopy (DL) in patients intubated with GI bleeding, using the third iteration of the National Emergency Airway Registry (NEARIII).

Methods: We performed a retrospective analysis of a prospectively collected national database (NEARIII) of intubations performed in United States emergency departments (EDs) from July 1, 2002, through December 31, 2012. All cases where the indication for intubation was “GI bleed” were analyzed. We included patient, provider and intubation characteristics. We compared data between intubation attempts initiated as DL and VL using parametric and non-parametric tests when appropriate.

Results: We identified 325 intubations, 295 DL and 30 VL. DL and VL cases were similar in terms of age, sex, weight, difficult airway predictors, operator specialty (emergency medicine, anesthesia or other) and level of operator training (post-graduate year 1, 2, etc). Proportion of successful first attempts (DL 261/295 (88.5%) vs. VL 28/30 (93.3%) p=0.58) and Cormack-Lehane grade views (p=0.89) were similar between devices. The need for device change was similar between DL [2/295 (0.7%) and VL 1/30 (3.3%); p=0.15].

Conclusion: In this national registry of intubations performed in the ED for patients with GI bleeds, both DL and VL had similar rates of success, glottic views and need to change devices.

Introduction: Endotracheal intubation (ETI) in the prehospital setting poses unique challengeswhere multiple ETI attempts are associated with adverse patient outcomes. Early identificationof difficult ETI cases will allow providers to tailor airway-man agement efforts to minimizecomplications associated with ETI. We sought to derive and validate a prehospital difficult airwayidentification tool based on predictors of difficult ETI in other settings.

Methods: We prospectively collected patient and airway data on all airway attempts from 16Advanced Life Support (ALS) ground emergency medical services (EMS) agencies from January2011 to October 2014. Cases that required more than two ETI attempts and cases where analternative airway strategy (e.g. supraglottic airway) was employed after one unsuccessful ETIattempt were categorized as “difficult.” We used a random allocation sequence to split the datainto derivation and validation subsets. Using backward elimination, factors with a p<0.1 wereincluded in the multivariable regression for the derivation cohort and then tested in the validationcohort. We used this model to determine the area under the curve (AUC), and the sensitivity andspecificity for each cut point in both the derivation and valida tion cohorts.

Results: We collected data on 1,102 cases with 568 in the derivation set (155 difficult cases;27%) and 534 in the validation set (135 difficult cases; 25%). O f the collected variables,five factors were predictive of difficult ETI in the derivation m odel (adjusted odds ratio, 95%confidence interval [CI]): Glasgow coma score [GCS] >3 (2.15, 1. 19-3.88), limited neckmovement (2.24, 1.28-3.93), trismus/jaw clenched (2.24, 1.09-4. 6), inability to palpate thelandmarks of the neck (5.92, 2.77-12.66), and fluid in the airwa y such as blood or emesis (2.25,1.51-3.36). This was the most parsimonious model and exhibited good fit (Hos mer-Lemeshowtest p = 0.167) with an AUC of 0.68 (95% CI [0.64-0.73]). When applied to the validatio n set,the model had an AUC of 0.63 (0.58-0.68) with high specificity for identifying di fficult ETI if >2factors were present (87.7% (95% CI [84.1-90.8])).

Conclusion: We have developed a simple tool using five factors that may aid p rehospitalproviders in the identification of difficult ETI.

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