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The Skeptics Guide to Emergency Medicine

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Mar 14, 2020 • 55min

SGEM Xtra: She Blinded Me with Science – Not Pseudoscience

Date: March 12th, 2020 Dr. Jonathan Stea Guest Skeptic: Dr. Jonathan Stea (@Jonathanstea) is a PhD Clinical Psychologist working at the Foothills Medical Centre in Calgary, Alberta. He is also an Adjunct Assistant Professor, Department of Psychology, University of Calgary. This SGEM Xtra is based on a tweet from about a month ago on The 10 Commandments of helping distinguish between science from pseudoscience for psychology students. It was written by Scott O. Lilienfeld (Association for Psychological Science 2005). This seemed like a good time to discuss pseudoscience because of the legitimate concerns about COVID19. These high anxiety situations regarding health seem to bring out those looking to sell fraudulent products. The FDA has even had to issue warning letters to firms with claims to “prevent, treat, mitigate, diagnose or cure coronavirus disease 2019 (COVID-19).” Dr. Nina Shapiro has written a couple of articles in Forbes about this issue of “miracle cures” and FDA warnings. There was also an article by Timothy Caulfield (@CaulfieldTIm). In that piece he specifically mentioned a Calgary naturopathy who made some unsupported claims about COVID19. Fears Of The COVID-19 Coronavirus Provide More Opportunity For Misinformation About Miracle Cures (March 1, 2020) FDA Issues Warnings To Companies Selling Fraudulent COVID-19 Coronavirus Therapies (March 9, 2020) Misinformation, alternative medicine and the coronavirus (March 12, 2020) We also need to be careful not to paint with too broad of a brush. There are bad people out there making false claims. It does not mean all practitioners are bad and all practices are fraudulent. Massage therapy and Reiki may relieve some peoples’ anxiety over COVID19. In contrast, there is no high-quality evidence that homeopathy and chiropractic care can cure COVID19. We should try to focus on the claims that people are making and hold those who are making incorrect claims accountable. Even the Canadian Association of Naturopathic Doctors (CAND) said that the Calgary naturopath had made: “false and misleading statements” and there “are no proven methods for the prevention or treatment of COVID-19 — claims otherwise made by any health professionals are invalid and should be reported immediately to applicable regulators.” We should apply the same level of skepticism and science to all claims. These include claims made by all health care providers including psychologists, physicians, nurses, chiropractors, naturopaths, acupuncturists, etc. It is not just about COVID19 claims but about any therapeutic claims. Patients deserve the best care, based on the best evidence. COVID19 The COVID19 story is evolving quickly and could be out of date when this episode is published. Here are some basic things that you could do to try and stay healthy: Wash your hands well (at least 20 seconds with soap and water) and try not to touch your face Avoid people who are sick and limit your social gatherings Stay home if you are feeling ill Cough into a tissue and throw it out immediately or cough into your elbow and disinfect objects or surfaces with a regular household cleaning wipe or spray People who are feeling ill should wear a facemask but other people who are feeling fine and not caring for a sick person do not need to wear a mask If you are unsure of what to do, please contact your local health authority. There are some official websites to get the latest update on the COVID19 situation: Centre for Disease Control and Prevention Health Canada Public Health Ontario World Health Organization Food and Drug Administration A Rough Guide To Spotting Bad Science Science is very exciting and does not need to be made more sensational. As a science communicator, it is disappointing when research is hyped up in the media. A recent example of this would be the CRASH#3 trial. This was a well-designed randomized control tr...
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Mar 7, 2020 • 25min

SGEM#286: Behind the Mask – Does it need to be an N95 mask?

Date: March 4th, 2020 Reference: Radonovich et al. N95 Respirators vs Medical Masks for Preventing Influenza Among Health Care Personnel. A Randomized Clinical Trial. JAMA 2019 The Respiratory Protection Effectiveness Clinical Trial (ResPECT) Guest Skeptics: Dr. Christopher Patey is an Assistant Professor with Memorial University Medical School in St. John’s, Newfoundland Canada. Over the past seventeen years he has practiced as a rural emergency and family physician and Clinical Chief of Emergency at Carbonear Hospital. Paul Norman is a registered nurse working as a frontline emergency nurse in Eastern Health, Newfoundland, Canada. Paul has greater than ten years of experience working in Emergency Nursing and Critical Care. His focus is implementation of LEAN strategies, quality and process improvement. Paul's work has been extended to reach emergency services throughout Canada and he has contributed on many platforms including local, regional, provincial and national speaking engagements. Disclaimers: This episode is about influenza not coronavirus (Covid-19) Dr. Patey's Disclaimer: I am not an expert on PPE (Personal Protective Equipment), Influenza/HINI/Coronavirus, Journal Reviews or Emergency Department management of pandemics. Paul Norman's Disclaimer: We (Dr. Patey and I) are experts on asking questions on the frontline of a Rural Emergency Department to ensure quality, and most importantly, effective patient care. Dr. Ken Milne's Disclaimer: I am an expert on critical appraisal but do not know what mask (if any) is best for preventing the Covid-19 virus. I think we can all agree on a few general recommendation: Get a flu shot if possible, wash your hands well (at least 20 seconds with soap and water), try not to touch your face, avoid people who are sick, stay home if you are feeling ill, cough into a tissue and throw it out immediately or cough into your elbow, disinfect objects or surfaces with a regular household cleaning wipe or spray, people who are well do not need to wear a facemask, people who are feeling ill should wear a facemask, and reach out to your local health authority if you think you might have the COVID-19. Covid-19 Information: This story is evolving quickly, and people should go to official websites to get the latest update on the Cover-19 situation: Centre for Disease Control and Prevention Health Canada Public Health Ontario World Health Organization Food and Drug Administration Case: With the potential global impact of the coronavirus (COVID-19) and our rural emergency departments (ED) having an extremely low compliance rate for N95 mask fit testing, our ED administration sends an urgent request for everyone to have N95 mask testing as soon as possible (ASAP). The urgent email also request shaving facial hair. You wonder about the evidence supporting the initiative and if there is any recent evidence surrounding N95 masks usage for preventing health care workers getting acute respiratory illnesses. Background: Many hospitals had their health care workers fitted with N95 masks in response to the 2009 H1N1 pandemic. The N95 masks were known to prevent small particles and therefore thought to be more effective. What was not known is whether or not this better effectiveness would translate into less viral respiratory infections acquired in hospital compared to regular disposable surgical medical masks. In other words, would N95 masks have a healthcare provider-oriented outcome. When it appeared that the transmission of the pandemic H1N1 was not different from seasonal influenza the recommendation for medical masks in most settings was reinstated. With the potential for an epidemic/pandemic outbreak of coronovirus, there is the demand for increased vigilance in preventive measures to prevent and contain the outbreak of this communicable disease. There have been a number of other studies discussing masks in pre...
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Feb 29, 2020 • 36min

SGEM#285: And I See Your True Colours Calming You – From your Anxiety

Date: February 28th, 2020 Reference: Rajendran et al. Randomised control trial of adult therapeutic colouring for the management of significant anxiety in the Emergency Department. AEM February 2020 Guest Skeptic: Dr. Corey Heitz is an emergency physician in Roanoke, Virginia. He is also the CME editor for Academic Emergency Medicine. Case: One night during an overnight shift, you are taking care of a patient who presented to the emergency department (ED) due to anxiety and vague suicidal ideation. The process for medical clearance and psychiatric evaluation can take quite a while, and you notice that this patient seems stressed and anxious. You wonder if there’s a way to assist them during the prolonged wait without resorting to sedative medication. Background: Psychological disorders are a common reason for presenting to the ED. Anxiety disorders are the most common (Marchesi et al EMJ 2004). However, we have only covered mental health issues a few times on the SGEM: SGEM#45: Vitamin H (Haloperidol for Psychosis) SGEM#178: Mindfulness – It’s not Better to Burnout than it is to Rust SGEM#218: Excited Delirium Syndrome SGEM#237: Screening Tool for Child Sex Trafficking SGEM#252: Blue Monday- Screening Adult ED Patients for Risk of Future Suicidality Patients with psychological disorders are often kept in the ED for a prolonged period of time. The ED itself can be a stressful environment and exacerbate anxiety. Emergency physicians have pharmaceutical options to treat anxiety. One of the most common medications to use is a benzodiazepine like lorazepam or diazepam. There is a need for non-pharmacological therapies to treat anxiety, and in some settings, art therapy has been studied. Specifically, adult coloring books have been used in the community and seem to function through cognitive easing (Rigby et al BMJ 2016 and Curry et al Art There 2005). Clinical Question: Can colouring decrease anxiety in adult patients presenting to the emergency department? Reference: Rajendran et al. Randomised control trial of adult therapeutic colouring for the management of significant anxiety in the Emergency Department. AEM February 2020 Population: Patients >15 years old with a score of >6 on the Hospital Anxiety and Depression Scale Anxiety (HADS-A). A score of >6 is considered moderate to severe anxiety. Intervention: Colouring pack (10 adult colouring pages and 36 pencil colours) Comparison: Placebo pack (10 plain sheets of paper, a Bic pen and instructions to draw or write freely) Outcome: Primary Outcome: Within-patient change in HADS-A score from baseline after two hours of therapy. Secondary Outcomes: Survey questions regarding value of therapy and level of engagement with treatment packs (length of time) Dr. Naveen Rajendran This is an SGEMHOP episode which means we have the lead author on the show. Dr. Naveen Rajendran is an intern at the Westmead Hospital in Sydney with a keen interest in emergency medicine and the investigation of novel therapies that could aid in alleviating the growing stress on modern emergency departments. This study was conducted when he was a medical student at the University of Sydney with Dr. Coggins (@coggi33) who was his research supervisor. Authors’ Conclusions: “Among ED patients, exposure to adult colouring books resulted in lower self-reported levels of anxiety at 2-hours compared to placebo.” Quality Checklist for Randomized Clinical Trials: The study population included or focused on those in the emergency department. Yes The patients were adequately randomized. Unsure The randomization process was concealed. Yes The patients were analyzed in the groups to which they were randomized. Yes The study patients were recruited consecutively (i.e. no selection bias). Unsure The patients in both groups were similar with respect to prognostic factors. Yes All participants (patients, clinicians,
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Feb 22, 2020 • 39min

SGEM Xtra: Right, You’re Bloody Well Right, You’ve got the Bloody Right to Care

Date: January 27th, 2020 Guest Skeptics: Dr. Richelle Cooper is a Professor of Emergency Medicine at the UCLA Department of Emergency Medicine. Dr. Maia Dorsett is an Emergency and EMS Physician at the University of Rochester Medical Center. Reference: Dorsett et al. Bringing value, balance and humanity to the emergency department: The Right Care Top 10 for emergency medicine. Emerg Med J 2019 This is an SGEM Xtra based on a recent publication by Dr. Dorsett and her team. It is an article of ten recommendations on how we might provide a more balanced approach to healthcare tailored to the needs of the patients we see in the emergency department. One of the authors of the article was the Legend of Emergency Medicine, Dr. J. Hoffman. SGEMers have heard about over-testing, over-diagnosing and over-treating. These authors have some concerns about what they call the unmentioned "elephant in the room". "While specialty societies do undertake advocacy work to address the health needs of the public, they also have a fundamental duty to advocate for and protect the interests of their specialty. Furthermore, healthcare dollars that are ‘wasted’ are of course not actually thrown away but rather end up in someone’s pocket; thus, there is clearly a conflict of interest when specialty societies address the overuse of extremely lucrative medical procedures that provide substantial income to their members." Choosing Wisely is an initiative trying to address the issue of over-testing, over-diagnosing and over-treating. To be clear, these authors are not against Choosing Wisely. "Important to note that we are not against choosing wisely, however the issue is larger and more nuanced. It is not just about “low value” care and costs but about harms, harms from overuse of diagnostic tests and treatment and also from underuse in other cases. The right care alliance is concerned about the right care for the right patients at the right time, thus not just overused tests." The organization this group of authors are associated with is called the Right Care Alliance (RCA). How is it different from the Choosing Wisely Campaign? "The Right Care Alliance was formed in 2015 by the Lown Institute, a healthcare think tank. Many of us, such as myself, became involved with the work of the Lown because of our interest in reducing the harms of overtesting and overdiagnosis. But we quickly realized that talking about Right Care was actually a conversation about the Right amount of care and that this was more than just about too much care, it was also about underuse, health care access and a focus on treating the whole patient. It was this realization – that we cannot address overuse without talking about underuse - that lead to the formation of the RCA. The powerful part of the RCA is that it is a grassroots coalition of not just healthcare practitioners, but also patients and community members." Where does emergency medicine fit into the RCA initiative? "Nowhere in healthcare is the unfortunate dichotomy between overuse and underuse as apparent as in our emergency departments, which function simultaneously as centers of high acuity healthcare and healthcare safety nets. Organizationally, the RCA has a number of subcommittees or “councils”. The Emergency Medicine (EM) Council is one of these subgroups and is composed primarily of emergency physicians and nurses." "In May 2016, the RCA asked its specialty councils to create their own ‘top 10’ lists, The goal was to identify not merely interventions that are overused but also others that need to be used more widely, if we are to achieve both better and more equitable health outcomes and financial savings." What were the guiding principles put forward by the RCA to generate the top 10 list? Guiding Principles for Top 10 List: Patient-centred Holistic in approach Understandable to both healthcare professionals and non-health care professionals
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Feb 15, 2020 • 20min

SGEM#284: Might as Well Jump, but We would Recommend a Parachute

Date: February 11th, 2020 Reference: Yeh et al. Parachute use to prevent death and major trauma when jumping from aircraft: randomized controlled trial. BMJ 2018. Guest Skeptic: Marcus Prescott is a nurse in Norway. He is also now a third-year medical student. Case: A 32-year-old woman with no previous medical history calls you while a passenger on a crashing plane. She has been offered a parachute by the flight attendant but is unsure whether jumping from the plane is wise. You quickly scour the literature for evidence to inform her decision. Background: The parachute– an umbrella term for devices to slow the motion of an object through an atmosphere by creating drag – was first deployed in China roughly 4,000 years age. The modern versions reached widespread use with the invention of heavier than air flight early last century. Different variants of parachutes have been used both for recreational and safety purposes; in either case aiming to avoid death in people falling from heights presumed to be lethal. Despite the near universal application, a systematic review from 2003 (Smith and Pell, BMJ) found no RCTs of parachute intervention. That systematic review published in the BMJ is a classic paper and part of their annual holiday edition. It stated that there was observational data showing parachutes failed at times to prevent morbidity and mortality. There are also case reports of free falls that did not result in 100% mortality. The authors suggested taking evidence-based medicine advocates up in a plane for a double blinded randomized control trial. The intervention would be a parachute and the control arm would be a sham parachute (backpack). To make it more rigorous, anyone who survived the first jump would cross over into the other arm of the study and jump again. Only then would we have definitive evidence that a parachute was effective in preventing death and major trauma related to gravitational challenges. After years of trying to organize a trial, researchers were finally able to recruit some volunteers to jump out of a plane with a parachute or backpack. Clinical Question: Do parachutes reduce death or major injury when jumping from aircraft? Reference: Yeh et al. Parachute use to prevent death and major trauma when jumping from aircraft: randomized controlled trial. BMJ 2018. Population: Adults 18 years of age and older, seated on aircraft and deemed rational decision makers. Intervention: Jumping from aircraft with parachute Comparison: Jumping from aircraft with backpack Outcome: Primary Outcome: Composite of death and major traumatic injury (ISS>15) within five minutes of impact or at 30 days. Secondary Outcomes: Health status and subgroup analysis based on type of aircraft or previous parachute use. Authors’ Conclusions: “Parachute use did not significantly reduce death or major injury when jumping from aircraft in the first randomized evaluation of this intervention. However, the trial was only able to enroll participants on small stationary aircraft on the ground, suggestion cautious extrapolation to high altitude jumps. When beliefs regarding the effectiveness of an intervention exists in the community, randomized trials might selectively enroll individuals with a lower perceived likelihood of benefit, thus diminishing the applicability of the results to clinical practice.” Quality Checklist for Randomized Clinical Trials: The study population included or focused on those in the emergency department. No The patients were adequately randomized. Yes The randomization process was concealed. Yes The patients were analyzed in the groups to which they were randomized. Yes The study patients were recruited consecutively (i.e. no selection bias). No The patients in both groups were similar with respect to prognostic factors. Unsure All participants (patients, clinicians, outcome assessors) were unaware of group allocation.
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Feb 8, 2020 • 24min

SGEM#283: Can You Be Absolutely Right in Diagnosing a SAH Using a Clinical Decision Instrument?

Date: January 29th, 2020 Reference: Perry et al. Prospective Implementation of the Ottawa Subarachnoid Hemorrhage Rule and 6-Hour Computed Tomography Rule. Stroke 2019 Guest Skeptic: Dr. Rory Spiegel is an EM/CC doctor who splits his time in the Emergency Department and Critical Care department. He also has this amazing #FOAMed blog called EM Nerd. Case: A 48-year-old male presents to your emergency department with a sudden onset headache, which started about one-hour prior to arrival. The headache is severe is quality and the patient does not have a history of similar headaches in the past. It is associated with nausea, vomiting and photophobia.  Background: Headaches are a common complaint presenting to the emergency department.  Subarachnoid hemorrhage represents one of the most serious underlying causes of headaches and we have covered it a number of times on the SGEM: SGEM#48: Thunderstruck – Subarachnoid Hemorrhage SGEM#134: Listen, to what the British Doctors Say about LPs post CT for SAH SGEM#140: CT Scans to Rule Out Subarachnoid Hemorrhages in A Non-Academic Setting SGEM#201: It’s in the Way That You Use It – Ottawa SAH Tool In patients who present neurologically intact making the diagnosis early is key to preventing subsequent more life-threatening bleeding. A number of controversies surround the diagnosis of SAH in the emergency department. Two of the more provocative are the use of the Ottawa SAH Rule and whether a lumbar puncture (LP) is required following a negative CT if the scan is performed within 6-hours of symptom onset. The Ottawa SAH Rule (tool) was covered on SGEM#201. The bottom line from that study was that the clinical decision instrument needed external validation, a meaningful impact analysis performed and patient acceptability of incorporating this rule into a shared decision-making instrument before being widely adopted. We were surprised that in their background/introduction material they did not include the excellent SRMA on this topic by Carpenter et al. AEM 2016. Clinical Question: What is the clinical impact of the Ottawa SAH Rule and the 6-hour CT Rule compared to standard care when implemented in six emergency departments across Canada? Reference: Perry et al. Prospective Implementation of the Ottawa Subarachnoid Hemorrhage Rule and 6-Hour Computed Tomography Rule. Stroke 2019 The senior author on this publication was the legend of emergency medicine, Dr. Ian Stiell from Ottawa. Population: Neurologically intact adult presenting to the ED with a chief complaint of a nontraumatic, acute headache, or syncope associated with a headache. Exclusions: Patients with any of the following: 3 or more previous similar headaches (ie, same intensity/character as their current headache) over a period of >6 months (eg, established migraines) confirmed SAH before arrival at study ED previously investigated with CT and LP for the same headache papilledema new focal neurological deficit previous diagnosis of intracranial aneurysm or SAH known brain neoplasm cerebroventricular shunt headache within 72 hours following a LP headache described as gradual or peak intensity beyond 1 hour. Intervention: Physicians were actively encouraged to use the Ottawa SAH Rule and the 6-hour-CT Ruleto determine when to undergoing diagnostic workups for SAH and when a CT alone with an appropriate workup. Clinicians had the option to override the proposed rules. Comparison: The control phase was standard care. Clinicians were encouraged to not use any clinical decision instrument and make the decision to pursue diagnostic studies based on their own clinical discretion. Outcome: The primary outcome was the clinical impact of the Ottawa SAH Rule and 6-hr CT Rule for making the diagnosis of a SAH compared to usual care. SAH was defined as: Subarachnoid blood on CT Xanthochromia in the cerebrospinal fluid
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Jan 29, 2020 • 3min

SGEM#281ss: Balance of Prognostic Factors in Randomized Controlled Trials

Date: January 25th, 2020 SGEM#281: EM Docs Got an AmbuBag Statistically Significant: Dan Lane We want to make the SGEM even better and address some of the criticisms from the ClinEpi world about clinicians trying to do critical appraisal. In order to do that we now have a Dr. Dan Lane who has a PhD in Clinical Epidemiology. He will be commenting on each the SGEM episodes. Dr. Dan Lane On this episode of Statistically Significant we are going to discuss the importance of balance of prognostic factors in randomized controlled trials, using the PreVent trial as an example. Characteristics that indicate when a patient more likely to have an outcome, what we call prognostic factors, need to be accounted for when assessing the effectiveness of a treatment. Without accounting for prognostic factors, the measures of treatment effect can be biased due to observed or unobserved factors amongst patients in each group. Consider if this same study had been conducted as a non-randomized design –clinicians may have decided to ventilate select patients between induction and intubation because they perceived them as more unstable prior to induction. These patients may also be at higher risk for hypoxia during this period for the same reasons the clinicians chose to ventilate them and therefore they would look worse when compared to patients not receiving ventilation if you did not account for these reasons – this is what epidemiologists call an indication bias. The goal of randomization in clinical trials is to balance patient characteristics between the different groups being investigated in the study. By randomly assigning patients to groups, the sole indication for receiving the treatment is the randomization process. As long as there are enough patients randomized, all known and unknown prognostic factors will be mathematically balanced between the groups. Therefore when talking about the balance of prognostic factors as part of critical appraisal, the key point to realize is there are both known and unknown factors. Although in this study they found some statistical differences between measured prognostic factors at baseline, these are just the prognostic factors that happen to be reported by the investigators. If we trust their randomization process then we can assume that the overall risk of the primary outcome, which includes measured and unmeasured prognostic factors, is mathematically balanced between the groups. One final point - the use of statistical hypothesis testing to compare prognostic factors is actually inappropriate here because by definition the null hypothesis that the two groups are the same is assumed to be true when the two groups are selected based on randomization. Therefore, any differences between the groups would be due to chance alone and considering them different would be a type 1 error. Additional Reading: Altman and Bland. Treatment allocation in controlled trials: why randomise? BMJ May 1999 Sander Greeland. Randomization, statistics, and causal inference.  Epidemiology Nov 1990 Stephen Sean. Baseline Balance and Valid Statistical Analyses: Common Misunderstandings. Applied Clinical Trials. May 2005.  REMEMBER TO BE SKEPTICAL OF ANYTHING YOU LEARN, EVEN IF YOU HEARD IT ON THE SKEPTICS’ GUIDE TO EMERGENCY MEDICINE.
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Jan 25, 2020 • 15min

SGEM#281: EM Docs Got an AmbuBag – The PreVent Trial

Date: January 9th, 2020 Reference: Casey et al. Bag-Mask Ventilation during Tracheal Intubation of Critically Ill Adults. NEJM February 2019 Guest Skeptic: Andrew Merelman is a critical care paramedic and second year medical student at Rocky Vista University in Colorado. His primary interests are resuscitation, critical care, airway management, and point-of-care ultrasound. Case: A 60-year-old male is in your emergency department with sepsis from pneumonia. He has worsening work of breathing and a decreasing level of consciousness. You decide based on his clinical presentation that he needs to be intubated. Due to his already poor oxygenation, you are concerned about him desaturating during intubation and wonder if there is anything you can do to help prevent it. Background: Emergency medicine is often referred to as the ABC (Airway, Breathing and Circulation) specialty. We have covered airway a few times on the SGEM: SGEM#75: Video Killed Direct Laryngoscopy? SGEM#96: Machine Head – NIPPV for Out of Hospital Respiratory Distress SGEM#247:Supraglottic Airways Gonna Save You for an OHCA? SGEM#249: Ace in the Hole – Confirming Endotracheal Tube Placement with POCUS SGEM#271: Bougie Wonderland for First Pass Success Rapid Sequence Intubation (RSI) has been a mainstay of emergency airway management for years. However, there are aspects of the procedure that have been debated, one of which is how best to oxygenate the patient during the apneic period while not increasing rates of aspiration. Clinical Question: Is bag-mask ventilation (BMV) performed during the apneic period of RSI (defined as the time between administration of RSI medications and intubation) in critically ill adults safe and effective? Reference: Casey et al. Bag-Mask Ventilation during Tracheal Intubation of Critically Ill Adults. NEJM February 2019 Population: Adults patients (older than 17 years of age) undergoing induction and tracheal intubation in the intensive care unit. Exclusions: Patients who were pregnant, incarcerated, had immediate need for intubation or if the treating clinicians felt that ventilation was indicated or contraindicated between induction and laryngoscopy. Intervention: Bag-mask ventilation (BMV) during the time between administration of sedation/paralysis and insertion of the laryngoscope into the mouth for intubation. Comparison: Apnea with or without nasal cannula oxygen during the time between administration of sedation/paralysis and insertion of the laryngoscope into the mouth for intubation. Outcome: Primary Outcome: The lowest oxygen saturation observed during the interval between induction and two minutes after tracheal intubation. Secondary Outcome: The incidence of severe hypoxemia (oxygen saturation of less than 80%). Authors’ Conclusions: “Among critically ill adults undergoing tracheal intubation, patients receiving bag-mask ventilation had higher oxygen saturations and a lower incidence of severe hypoxemia than those receiving no ventilation.” Quality Checklist for Randomized Clinical Trials: The study population included or focused on those in the emergency department. No The patients were adequately randomized. Yes The randomization process was concealed. Yes The patients were analyzed in the groups to which they were randomized. Yes The study patients were recruited consecutively (i.e. no selection bias). Unsure The patients in both groups were similar with respect to prognostic factors. No All participants (patients, clinicians, outcome assessors) were unaware of group allocation. No All groups were treated equally except for the intervention. No Follow-up was complete (i.e. at least 80% for both groups). Yes All patient-important outcomes were considered. No The treatment effect was large enough and precise enough to be clinically significant. Unsure Key Results: They screened 667 patients and enrol...
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Jan 22, 2020 • 10min

SGEM Xtra: It’s All About the Bayes, ‘Bout the Bayes, No Fisher

Guest Skeptic: Dr. Dan Lane has a Masters in Health Services Research at the University of Calgary, a Doctor of Philosophy in Clinical Epidemiology from the University of Toronto and is currently a medical student at the University of Calgary. Dan is naturally a contrarian, he strives to understand first principles of conventions in medical research in order to identify and challenge poor practices that have become dogma. He is passionate about statistics and epidemiology and wants to share that passion by making these topics more practical and approachable for clinicians. Believing the key to proper interpretation of medical research does not begin with memorizing some arbitrary threshold for statistical significance, Dan hopes to contribute to the SGEM through sharing an understanding of what story the numbers are actually telling about the data. Dan has no funding whatsoever, and no associations with industry. He is currently a medical student at the University of Calgary. Dan has some pet peeves when it comes to statistics there used and critical appraisals. We will do some more in depth SGEM Xtras on each of these issues. Thomas Bayes Absolute vs. Relative Estimates Effect Estimates and Not P-Values All Models are Wrong Predication vs. Classification Bayes No Frequentists The purpose of this SGEM Xtra, beside to introduce a new SGEM faculty member, is also to announce we are adding a new segment to the SGEM. It is going to be called Statistically Significant. We want to make the SGEM even better and address some of the criticisms from the ClinEpi world about clinicians trying to do critical appraisal. In order to do that we now have a Dr. Dan Lane PhD who will be commenting on each the SGEM episodes. The first instalment of Statistically Significant segment will be on this weeks’ SGEMHOP looking at troponin testing in the elderly patients presenting with non-specific complaints (SGEM#280). Let me know what you think of this idea. We have a few more lined up and feedback is always appreciated. Send me an email TheSGEM@gmail.com Statistically Significant #280: Sensitivity and Specificity Despite their dogmatic use in the literature, sensitivity and specificity have a number of limitations that are rarely considered or addressed in diagnostic test studies. Sensitivity and Specificity are crude metrics, meaning they only look at the effect of a single measure and a single outcome. As crude measures they fail to incorporate any other information into their estimates, including potential confounders for the relationship between the test result and the outcome. In this particular study, age is part of the primary objective for the study (geriatric patients) but is also a confounder of the relationship between troponin level (which may increase with age) and acute coronary syndrome risk (also increases with age). When confounders like age are present, crude measures will be influenced based on the prevalence of confounders in each the groups – for example, if there were more older patients in the troponin positive group, the estimates for sensitivity may be inflated. Another limitation of sensitivity and specificity is they require a test result be classified as positive or negative. This is problematic when the real measure is a continuous measure, such as troponin. In the current study the test was considered “positive” if the troponin level was above the 99th percentiles for that enzyme. But this arbitrarily treats patients above or below the 99th percentile as homogeneous groups, meaning the statistics consider everyone above the threshold to be the same, and everyone below the threshold to be the same. Consider a patient with a troponin right below the threshold and another patient right above the threshold – surely these patients are almost identical in terms of their risk for having ACS. But by inserting an arbitrary break into the measure,
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Jan 18, 2020 • 30min

SGEM#280: This Old Heart of Mine and Troponin Testing

Date: January 16th, 2020 Reference: Troponin Testing and Coronary Syndrome in Geriatric Patients With Nonspecific Complaints: Are We Overtesting? AEM January 2020 Guest Skeptics: Dr. James VandenBerg: James has a master’s degree in clinical investigation from Washington University in St. Louis, and is currently the Chief Resident at Detroit Receiving Hospital. Dr. Andrew Huang: Andy is the Chief Resident at Sinai-Grace Hospital. Case: As the resident, you have just finished seeing a 78-year-old male who has been brought in by his family over the holidays. The triage nurse has put the reason for the visit as “multiple complaints”. Despite spending 30 minutes in the room, you still are not sure exactly why the patient is here. Your attending says that if you take a good geriatric history that you can always determine what’s going on. However, 15 minutes later your attending leaves the room defeated. The patient’s complaints are just so nonspecific. The attending ends up ordering the “geriatrogram” – ticking off every blood test on the form, including the troponin. You turn to the attending and ask, “do you really think this could be acute coronary syndrome (ACS)?” Background: Patients 65 years and older account for about 15% of emergency department visits in the United States. Their presentations are often complicated as they present with nonspecific symptoms, and there is often obscuring co-morbid conditions, polypharmacy, and cognitive/functional impairment. Nonspecific symptoms in the elderly usually yield a broad differential and there are no recommended diagnostic algorithms, leading to extensive testing. ACS is usually amongst this differential, as cardiovascular disease is a leading cause of morbidity and mortality in this population. Additionally, the elderly population with ACS more commonly presents without chest pain compared to younger patients (up to 20% of elderly patients with MI present with “weakness” as part of their chief complaint). While cardiovascular disease is the leading cause of mortality and morbidity in the elderly, the frequency of ACS amongst this population presenting with nonspecific symptoms is unknown. Clinical Question: What is the frequency of ACS in elderly patients presenting to the ED with nonspecific complaints, and what is the utility of troponin testing in this population? Reference: Wang et al. Troponin Testing and Coronary Syndrome in Geriatric Patients With Nonspecific Complaints: Are We Overtesting? AEM January 2020 Population: Patients aged 65 years and older presenting to the emergency department with nonspecific chief complaints who underwent troponin testing. “Nonspecific” was designed a priori as including weak or weakness, dizzy or dizziness, fatigue, lethargy, altered mental status, light-headedness, medical problem, examination requested, failure to thrive, or “multiple complaints.” Exclusions: If they had a focal chief complaint (ex. focal pain, injury complaint, shortness of breath, vomiting, diaphoresis, syncope, fever, cough, focal neurologic deficit)or fever of at least 38C at triage. Investigation: Troponin testing Comparison: None Outcomes: There were multiple outcomes of interest: The proportion of patients with nonspecific complaints who underwent troponin testing. The proportion of such patients who had elevated troponin. The proportion of patients with ACS at the index visit or within 30 days. The utility of troponin testing to diagnose or exclude ACS. The frequency of other causes of troponin elevation in this population. Dr. Alfred Wang This is a LIVE episode of an SGEMHOP which means we have the lead author on the show.  Dr. Alfred Wang is an emergency medicine physician at Indiana University in Indianapolis, IN. With the help from a dedicated team of physician-peers and mentor, Dr. Wang was able to complete this research project.

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