396 Variability in Antivenom Treatment in Snake Envenomations Between Two Major Tertiary Care Emergency Departments

2014 ◽  
Vol 64 (4) ◽  
pp. S141 ◽  
Author(s):  
K.N. Ward ◽  
A.G. Wortley ◽  
E.B. Quackenbush ◽  
C.J. Gerardo
2020 ◽  
Author(s):  
Pia Jokela ◽  
Anu E Jääskeläinen ◽  
Hanna Jarva ◽  
Tanja Holma ◽  
Maarit J Ahava ◽  
...  

AbstractRapid sample-to-answer tests for detection of SARS-CoV-2 are emerging and data on their relative performance is urgently needed. We evaluated the analytical performance of two rapid nucleic acid tests, Cepheid Xpert® Xpress SARS-CoV-2 and Mobidiag Novodiag® Covid-19, in comparison to a combination reference of three large-scale PCR tests. Moreover, utility of the Novodiag® test in tertiary care emergency departments was assessed. In the preliminary evaluation, analysis of 90 respiratory samples resulted in 100% specificity and sensitivity for Xpert®, whereas analysis of 107 samples resulted in 93.4% sensitivity and 100% specificity for Novodiag®. Rapid SARS-CoV-2 testing with Novodiag® was made available for four tertiary care emergency departments in Helsinki, Finland between 18 and 31 May, coinciding with a rapidly declining epidemic phase. Altogether 361 respiratory specimens, together with relevant clinical data, were analyzed with Novodiag® and reference tests: 355/361 of the specimens were negative with both methods, and 1/361 was positive in Novodiag® and negative by the reference method. Of the 5 remaining specimens, two were negative with Novodiag®, but positive with the reference method with late Ct values. On average, a test result using Novodiag® was available nearly 8 hours earlier than that obtained with the large-scale PCR tests. While the performance of novel sample-to-answer PCR tests need to be carefully evaluated, they may provide timely and reliable results in detection of SARS-CoV-2 and thus facilitate patient management including effective cohorting.


2018 ◽  
Vol 36 (6) ◽  
pp. 967-971 ◽  
Author(s):  
Erin L. Simon ◽  
Cedric Dark ◽  
Mitch Kovacs ◽  
Sunita Shakya ◽  
Craig A. Meek

2013 ◽  
Vol 31 (2) ◽  
pp. 134-138 ◽  
Author(s):  
Craig Brick ◽  
Justin Lowes ◽  
Lindsay Lovstrom ◽  
Andrea Kokotilo ◽  
Cristina Villa-Roel ◽  
...  

CJEM ◽  
2017 ◽  
Vol 21 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Nancy G. Murphy ◽  
D. Ruth Bona ◽  
Theresa A. Hurley

ABSTRACTObjectiveInadequate stocking of essential antidotes in hospitals is an internationally documented problem. A concrete and sustainable system-wide solution for easy access to antidotes in emergency departments (EDs) was developed and implemented in Nova Scotia, Canada.MethodsAntidote stocking guidelines and a systemwide antidote management strategy were established. A standardized collection of antidotes housed in highly visible containers in provincial EDs was implemented for timely access. Antidote-specific online administration guidelines were developed. Using the poison centre for surveillance, the antidote program maintained a database of antidote utilization patterns; 11 years of data were available for analysis.Results2/2 (100%) tertiary care, 9/9 (100%) regional EDs, and 21/25 (84%) community EDs in Nova Scotia stock antidote kits, for an overall compliance rate of 32/36 (89%). A total of 678 antidotes (excluding N-acetylcysteine) were used for 520 patients. The distribution of antidote use by hospital type was 99/678 (14.6%) at community hospitals, 379/678 (55.9%) at regional hospitals, and 200/678 (29.5%) at tertiary care hospitals. The five most commonly used antidotes were: naloxone 143/678 (21.1%), fomepizole 111/678 (16.4%), glucagon 94/678 (13.9%), calcium 70/678 (10.3%), and sodium bicarbonate 67/678 (9.9%). Of the 520 patients in whom antidotes were used, death occurred in 3% (15/520), major outcomes in 35% (183/520), and moderate outcomes in 39% (205/520).ConclusionThe Nova Scotia Antidote Program demonstrates that a solution to inadequate antidote stocking is achievable and requires a system-wide approach with ongoing maintenance and surveillance. The frequency and distribution of antidote usage documented in this program supports the need for enhancement of emergency preparedness. The poison centre and hospital pharmacies are crucial to surveillance and maintenance of this program.


2011 ◽  
Vol 41 (2) ◽  
pp. 215
Author(s):  
E.L. Simon ◽  
P.L. Griffin ◽  
N.J. Jouriles ◽  
E.L. Simon ◽  
N.J. Jouriles

CJEM ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 425-431 ◽  
Author(s):  
Vigil James ◽  
Yona R. Vandersluis ◽  
Evangeline W. J. Zhang ◽  
Dennis Scolnik

ABSTRACTBackgroundDental trauma is a relatively common occurrence in childhood, with an impact exceeding that of periodontal diseases. It places a significant burden on the public health system because of its high frequency, impact on quality of life and consumption of resources.ObjectivesTo identify changing trends of dental injury in patients between 0-18 years of age in Canada and provide a detailed assessment of dental injury patterns in patients attending a large pediatric tertiary care hospital.MethodsThis retrospective study was carried out in two parts. Firstly, data from patients who presented to the emergency departments of the 15 Canadian hospitals involved in the Injury Reporting and Prevention Program (CHIRPP) from 1stJanuary 1990 to 31stDecember 2013 was collected. Secondly, at the Hospital for Sick Children, charts of patients identified from the aforementioned database from the years 2008, 2012 and 2015 were accessed for additional clinical data.ResultsBased on CHIRPP data there appears to be an increasing incidence in dental injuries presenting to emergency departments nationally. Participation in sports and cycling contributed to the majority of dental injuries. The use of safety equipment such as helmets with a face-grill and mouth-guard was low.ConclusionsOur study demonstrates a rising incidence of dental injuries in young patients. Most dental injuries occurred during sports and playground related activities. The low rate of use of safety equipment and playground safety measures suggests that Canadian Standards Association standards for playgrounds could be more effective if strengthened by mandatory legislation.


2020 ◽  
Vol 20 (4) ◽  
pp. 163
Author(s):  
Fatma Cebeci ◽  
SongülBiskin Cetin ◽  
Oktay Eray ◽  
Mustafa Coskun ◽  
Meral Gozkaya

2016 ◽  
Vol 51 (4) ◽  
pp. 466-470 ◽  
Author(s):  
Erin L. Simon ◽  
Gregory Griffin ◽  
Kseniya Orlik ◽  
Zhenyu Jia ◽  
Dave Hayslip ◽  
...  

2020 ◽  
Author(s):  
Alp Giray AYDIN ◽  
Oktay Eray ◽  
Ali Vefa SAYRAC ◽  
Alten OSKAY ◽  
Umit Deniz ULUSAR

Abstract Objective: Overcrowding is a challenge for emergency departments throughout the world. Triage systems categorize the patients based on medical emergencies in order to avoid the malpractices. The present study aimed to test the validity of an artificial intelligence tool, ‘Decision Trees’, in emergency medicine triage. Methods: This prospective, cross-sectional, clinical study was conducted in an emergency department of a tertiary care hospital. A total of 1999 patients over 18 years were included into the study. The triage stuff were trained before the study with the Australasian Triage Scale. Two independent observers rate the ultimate triage category of study patients. A new algorithym by ‘Decision Trees’ was constructed at the end of the study. Results: The mean age of the study patients were 41.1±17,2 and 49.1 % of them (n=981) were male. There were 867 patients (43.3%) with triage category of five and 14 (0.7%) patients with triage category one. The most common clinical descriptors of the patients were minimal pain with no high risk features 20.5% of them (n=409) and minor symptoms of low risk conditions 18.1% of them (n=362). There was an excellent consistency between two independent observers (kappa value: 0.997. The new algorithm by ‘Decision Trees’ rated wrong in only one patient. The accuracy rate was 99.9%. The consistency between ATS and ‘Decision Trees was excellent (kappa value: 0.999). There was average consistency between physicians and paramedics. (kappa value: 0.541).Conclusion: Decision trees as an artificial intelligence model should be used for producing practical triage algorithms as a decision support tool in emergency departments.


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