COVID-19 associated myocarditis: A systematic review.

BACKGROUND: Most COVID-19 infections result in a viral syndrome characterized by fever, cough, shortness of breath, and myalgias. A small but significant proportion of patients develop severe COVID-19 resulting in respiratory failure. Many of these patients also develop multi-organ dysfunction as a byproduct of their critical illness. Although heart failure can be a part of this, there also appears to be a subset of patients who have primary cardiac collapse from COVID-19. OBJECTIVE: Conduct a systematic review of COVID-19-associated myocarditis, including clinical presentation, risk factors, and prognosis. DISCUSSION: Our review demonstrates two distinct etiologies of primary acute heart failure in surprisingly equal incidence in patients with COVID-19: viral myocarditis and Takotsubo cardiomyopathy. COVID myocarditis, Takotsubo cardiomyopathy, and severe COVID-19 can be clinically indistinguishable. All can present with dyspnea and evidence of cardiac injury, although in myocarditis and Takotsubo this is due to primary cardiac dysfunction as compared to respiratory failure in severe COVID-19. CONCLUSION: COVID-19-associated myocarditis differs from COVID-19 respiratory failure by an early shock state. However, not all heart failure from COVID-19 is from direct viral infection; some patient's develop takotsubo cardiomyopathy. Regardless of etiology, steroids may be a beneficial treatment, similar to other critically ill COVID-19 patients. Evidence of cardiac injury in the form of ECG changes or elevated troponin in patients with COVID-19 should prompt providers to consider concurrent myocarditis.

Answering the Challenge of COVID-19 Pandemic Through Innovation and Ingenuity.

The novel coronavirus disease 2019 (COVID-19) pandemic has created a maelstrom of challenges affecting virtually every aspect of global healthcare system. Critical hospital capacity issues, depleted ventilator and personal protective equipment stockpiles, severely strained supply chains, profound economic slowdown, and the tremendous human cost all culminated in what is questionably one of the most profound challenges that humanity faced in decades, if not centuries. Effective global response to the current pandemic will require innovation and ingenuity. This chapter discusses various creative approaches and ideas that arose in response to COVID-19, as well as some of the most impactful future trends that emerged as a result. Among the many topics discussed herein are telemedicine, blockchain technology, artificial intelligence, stereolithography, and distance learning.

Imaging & other potential predictors of deterioration in COVID-19.

This case report describes a young patient with COVID-19 who is initially diagnosed with CT chest imaging. Upon admission to the hospital, his clinical condition deteriorates requiring ventilatory support. We explore the value of imaging and other potential predictors of deterioration.

Rethinking Prehospital Response to Mass Casualty Events: Move, Treat, and Transport.

Herein, we present a simplified approach to prehospital mass casualty event (MASCAL) management called "Move, Treat, and Transport." Prior publications demonstrate a disconnect between MASCAL response training and actions taken during real-world incidents. Overly complex algorithms, infrequent training on their use, and chaotic events all contribute to the low utilization of formal triage systems in the real world. A review of published studies on prehospital MASCAL management and a recent series of military prehospital MASCAL responses highlight the need for an intuitive MASCAL management system that accounts for expected resource limitations and tactical constraints. "Move, Treat, and Transport" is a simple and pragmatic approach that emphasizes speed and efficiency of response; considers time, tactics, and scale of the event; and focuses on interventions and evacuation to definitive care if needed.

Limitations of Triage in Military Mass Casualty Response: A Case Series.

INTRODUCTION: Mass casualty events (MASCALs) in the combat environment, which involve large numbers of casualties that overwhelm immediately available resources, are fundamentally chaotic and dynamic and inherently dangerous. Formal triage systems use diagnostic algorithms, colored markers, and four or more named categories. We hypothesized that formal triage systems are inadequately trained and practiced and too complex to successfully implement in true MASCAL events. This retrospective analysis evaluates the real-world application of triage systems in prehospital military MASCALs and other aspects of MASCAL management. METHODS: We surveyed Special Operations Forces (SOF) medics known to us who have participated in military prehospital MASCALs and analyzed them. Aggregated data describing the scope of the incidents, the use of formal triage algorithms and colored markers, the number of categories, and the interventions on scene were analyzed using descriptive statistics, and lessons learned were consolidated. RESULTS: From 1996 to 2022 we identified 29 MASCALs that were managed by military medics in the prehospital setting. There was a median of three providers (range 1-85) and 15 casualties (range 6-519) per event. Four or more formal triage categories were used in only one event. Colored markers and formal algorithms were not used. Life-saving interventions were performed in 27 of 29 (93%) missions and blood transfusions were performed in four (17%) MASCALs. The top lessons learned were: 1) security and accountability are cornerstones of MASCAL management; 2) casualty movement is a priority; 3) intuitive triage categories are the default; 4)life-saving interventions are performed as time and tacticspermit. CONCLUSION: Formal triage systems requiring the use ofdiagnostic algorithms, colored tags, and four or five categories are seldom implemented in real-world military prehospitalMASCAL management. The training of field triage should besimplified and pragmatic, as exemplified by these instances.

Effectiveness of and Adherence to Triage Algorithms During Prehospital Response to Mass Casualty Incidents.

Mass casualty incidents (MCIs) can rapidly exhaust available resources and demand the prioritization of medical response efforts and materials. Principles of triage (i.e., sorting) from the 18th century have evolved into a number of modern-day triage algorithms designed to systematically train responders managing these chaotic events. We reviewed reports and studies of MCIs to determine the use and efficacy of triage algorithms. Despite efforts to standardize MCI responses and improve the triage process, studies and recent experience demonstrate that these methods have limited accuracy and are infrequently used.

Ophthalmology Patient Perceptions of Open Payments Information.

Importance: Since 2014, medical industry payment data to physicians have been public via the Open Payments database. Patient opinions regarding these data help us to understand concerns and policymakers to improve reporting mechanisms for such payments. Objective: To assess patient perceptions of Open Payments information. Design, Setting, and Participants: This cross-sectional, questionnaire-based study was conducted in 3 ophthalmology clinic sites of an academic institution in Manhattan, New York City, New York. All patients older than 18 years who were waiting for appointments were eligible. Data were collected from January to June 2016 and analyzed from June to September 2016. Exposures: Participants answered 27 questions about the Open Payments database in English or Spanish. Demographic information was also collected. Main Outcomes and Measures: Key questionnaire results included patient awareness of the Open Payments database and perceptions of physicians' financial relationships. Cronbach α validation of the survey was performed, and Poisson multivariable regression analysis was performed to evaluate the association between patient characteristics and responses. Results: A total of 407 individuals participated. The mean (SD) age of study participants was 58.8 (17.9) years, and 220 (54.2%) were women. Of these, 30 (7.3% [95% CI, 5.1%-19.4%]) were aware of the Open Payments database, and 109 (26.8% [95% CI, 24.8%-34.0%]) planned to access it. More than half (n = 212; 53.5% [95% CI, 48.6%-58.5%]) wanted to know if their physician receives industry payments. Regarding payments of any kind valuing $100, 161 (41.9% [95% CI, 37.0%-46.9%]) disapproved. Similarly, 178 (45.8% [95% CI, 40.8%-50.7%]) disapproved of $500 payments, and 221 (57.0% [95% CI, 52.0%-61.9%]) disapproved of $25 000 payments. Poisson multivariable regression analysis demonstrated that participants who took the survey in Spanish were 38% more likely to approve of physicians receiving payments than were those who took the survey in English (incidence rate ratio [IRR], 1.38 [95% CI, 1.19-1.59]; P < .001). For every 1 year of age, the likelihood of approval for a physician receiving payments decreased by 1% (IRR, 0.995 [95% CI, 0.99-1.00]; P = .007). Participants with graduate degrees were 20% less likely to approve of physicians receiving payments, compared with those with less than a high school degree (IRR, 0.80 [95% CI, 0.66-0.97]; P = .02). Conclusions and Relevance: If the survey is validated, and if these results are generalizable outside of the 3 academic centers in ophthalmology surveyed, the findings suggest that many patients disapprove of physicians receiving payments from industry. However, few patients had accessed the Open Payments database or planned to access it. Further investigation is required to determine if these results can be generalized for other settings.