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1.
West J Emerg Med ; 21(4): 764-770, 2020 Jun 03.
Article in English | MEDLINE | ID: mdl-32726239

ABSTRACT

INTRODUCTION: Intubation of patients suspected of having coronavirus disease 2019 (COVID-19) is considered to be a high-risk procedure due to the aerosolization of viral particles. In an effort to minimize the risk of exposure and optimize patient care, we sought to develop, test, provide training, and implement a standardized algorithm for intubating these high-risk patients at our institution. METHODS: We developed an initial intubation algorithm, incorporating strategic use of equipment and incorporating emerging best practices. By combining simulation-based training sessions and rapid-cycle improvement methodology with physicians, nurses, and respiratory therapists, and incorporating their feedback into the development, we were able to optimize the process prior to implementation. Training sessions also enabled the participants to practice the algorithm as a team. Upon completion of each training session, participants were invited to complete a brief online survey about their overall experience. RESULTS: An algorithm and training system vetted by simulation and actual practice were developed. A training video and dissemination package were made available for other emergency departments to adopt. Survey results were overall positive, with 97.92% of participants feeling confident in their role in the intubation process, and many participants citing the usefulness of the multidisciplinary approach to the training. CONCLUSION: A multidisciplinary, team-based approach to the development and training of a standardized intubation algorithm combining simulation and rapid-cycle improvement methodology is a useful, effective process to respond to rapidly evolving clinical information and experiences during a global pandemic.


Subject(s)
Betacoronavirus , Coronavirus Infections/therapy , Pneumonia, Viral/therapy , Algorithms , COVID-19 , Emergency Service, Hospital , Humans , Intubation, Intratracheal , Pandemics , SARS-CoV-2 , Simulation Training
2.
West J Emerg Med ; 21(2): 374-381, 2020 Feb 21.
Article in English | MEDLINE | ID: mdl-32191196

ABSTRACT

On Saturday, October 27, 2018, a man with anti-Semitic motivations entered Tree of Life synagogue in the Squirrel Hill section of Pittsburgh, Pennsylvania; he had an AR-15 semi-automatic rifle and three handguns, opening fire upon worshippers. Eventually 11 civilians died at the scene and eight people sustained non-fatal injuries, including five police officers. Each person injured but alive at the scene received care at one of three local level-one trauma centers. The injured had wounds often seen in war-settings, with the signature of high velocity weaponry. We describe the scene response, specific elements of our hospital plans, the overall out-of-hospital preparedness in Pittsburgh, and the lessons learned.


Subject(s)
Civil Defense/organization & administration , Emergency Medical Services , Trauma Centers/organization & administration , Wounds and Injuries , Emergency Medical Services/methods , Emergency Medical Services/organization & administration , Firearms , Humans , Pennsylvania , Terrorism , Wounds and Injuries/etiology , Wounds and Injuries/therapy
3.
Prehosp Emerg Care ; 18(3): 321-7, 2014.
Article in English | MEDLINE | ID: mdl-24548128

ABSTRACT

OBJECTIVE: Serum lactate elevations are associated with morbidity and mortality in trauma patients, but their value in prehospital medical patients prior to resuscitation is unknown. We sought to assess the distribution of blood lactate concentrations prior to intravenous (i.v.) resuscitation and examine the association of elevation on in-hospital death. METHODS: A convenience sample of adult patients over 14 months who received an i.v. line by eight EMS agencies in Western Pennsylvania had lactate measurement prior to any i.v. treatment. We assessed the lactate values and any relationship between these and hospital mortality (our primary outcome) and admission to the intensive care unit (ICU). We also compared the ability of lactate to discriminate outcomes with a prehospital critical illness score using age, Glasgow Coma Score, and initial vital signs. RESULTS: We included 673 patients, among whom 71 (11%) were admitted to the ICU and 21 (3.1%) died in-hospital. Elevated lactate (≥2 mmol/L) occurred in 307 (46%) patients and was strongly associated with hospital death after adjustment for known covariates (odds ratio = 3.57, 95% confidence interval [CI]: 1.10, 11.6). Lactate ≥2 mmol/L had a modest sensitivity (76%) and specificity (55%), and discrimination for hospital death (area under the curve [AUC] = 0.66, 95%CI: 0.56, 0.75). Compared to the prehospital critical illness score alone (AUC = 0.69, 95% CI: 0.59, 0.80), adding lactate to the score offered modest improvement (net reclassification improvement = 0.63, 95%CI: 0.23, 1.01, p < 0.05). CONCLUSIONS: Initial lactate concentration in our prehospital medical patient population was associated with hospital mortality. However, it is a modest predictor of outcome, offering similar discrimination to a prehospital critical illness score.


Subject(s)
Critical Illness/mortality , Emergency Medical Services/methods , Hospital Mortality/trends , Lactates/blood , Resuscitation/methods , Adult , Aged , Confidence Intervals , Critical Illness/therapy , Female , Follow-Up Studies , Humans , Infusions, Intravenous , Intensive Care Units/statistics & numerical data , Logistic Models , Male , Middle Aged , Multivariate Analysis , Odds Ratio , Patient Admission/statistics & numerical data , Pennsylvania , Predictive Value of Tests , Prospective Studies , ROC Curve , Resuscitation/mortality , Treatment Outcome
4.
N Engl J Med ; 368(22): 2075-83, 2013 May 30.
Article in English | MEDLINE | ID: mdl-23718164

ABSTRACT

BACKGROUND: Worldwide, 2.75 billion passengers fly on commercial airlines annually. When in-flight medical emergencies occur, access to care is limited. We describe in-flight medical emergencies and the outcomes of these events. METHODS: We reviewed records of in-flight medical emergency calls from five domestic and international airlines to a physician-directed medical communications center from January 1, 2008, through October 31, 2010. We characterized the most common medical problems and the type of on-board assistance rendered. We determined the incidence of and factors associated with unscheduled aircraft diversion, transport to a hospital, and hospital admission, and we determined the incidence of death. RESULTS: There were 11,920 in-flight medical emergencies resulting in calls to the center (1 medical emergency per 604 flights). The most common problems were syncope or presyncope (37.4% of cases), respiratory symptoms (12.1%), and nausea or vomiting (9.5%). Physician passengers provided medical assistance in 48.1% of in-flight medical emergencies, and aircraft diversion occurred in 7.3%. Of 10,914 patients for whom postflight follow-up data were available, 25.8% were transported to a hospital by emergency-medical-service personnel, 8.6% were admitted, and 0.3% died. The most common triggers for admission were possible stroke (odds ratio, 3.36; 95% confidence interval [CI], 1.88 to 6.03), respiratory symptoms (odds ratio, 2.13; 95% CI, 1.48 to 3.06), and cardiac symptoms (odds ratio, 1.95; 95% CI, 1.37 to 2.77). CONCLUSIONS: Most in-flight medical emergencies were related to syncope, respiratory symptoms, or gastrointestinal symptoms, and a physician was frequently the responding medical volunteer. Few in-flight medical emergencies resulted in diversion of aircraft or death; one fourth of passengers who had an in-flight medical emergency underwent additional evaluation in a hospital. (Funded by the National Institutes of Health.).


Subject(s)
Aerospace Medicine/statistics & numerical data , Emergencies/epidemiology , Emergency Treatment/statistics & numerical data , Aviation , Emergencies/classification , Emergency Treatment/methods , Female , Gastrointestinal Diseases/epidemiology , Gastrointestinal Diseases/therapy , Humans , Male , Respiratory Tract Diseases/epidemiology , Respiratory Tract Diseases/therapy , Syncope/epidemiology , Syncope/therapy , Travel , Treatment Outcome
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