Faculty Bibliography

•COVID-19 infection is associated with a prothrombotic state•Point of care ultrasound (POCUS) provides prompt bedside diagnosis of covid-19 complications such as clot in transit•Bedside TEE guidance of mechanical CPR arm placement improves the efficiency of chest compressions.

BACKGROUND:We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the point-of-care (POC) setting, apical 2-chamber views are often difficult to obtain, limiting the usefulness of this approach. Since most POC physicians often rely on visual assessment of apical 4-chamber and parasternal long-axis views, our algorithm was adapted to use either one of these 3 views or any combination. This study aimed to (1) test the accuracy of these automated estimates; (2) determine whether they could be used to accurately classify LV function. METHODS:Reference EF was obtained using conventional biplane measurements by experienced echocardiographers. In protocol 1, we used echocardiographic images from 166 clinical examinations. Both automated and reference EF values were used to categorize LV function as hyperdynamic (EF>73%), normal (53%-73%), mildly-to-moderately (30%-52%), or severely reduced (<30%). Additionally, LV function was visually estimated for each view by 10 experienced physicians. Accuracy of the detection of reduced LV function (EF<53%) by the automated classification and physicians' interpretation was assessed against the reference classification. In protocol 2, we tested the new machine-learning algorithm in the POC setting on images acquired by nurses using a portable imaging system. RESULTS:Protocol 1: the agreement with the reference EF values was good (intraclass correlation, 0.86-0.95), with biases <2%. Machine-learning classification of LV function showed similar accuracy to that by physicians in most views, with only 10% to 15% cases where it was less accurate. Protocol 2: the agreement with the reference values was excellent (intraclass correlation=0.84) with a minimal bias of 2.5±6.4%. CONCLUSIONS:The new machine-learning algorithm allows accurate automated evaluation of LV function from echocardiographic views commonly used in the POC setting. This approach will enable more POC personnel to accurately assess LV function.

The COVID-19 pandemic has presented countless new challenges for healthcare providers including the challenge of differentiating COVID-19 infection from other diseases. COVID-19 infection and acute endocarditis may present similarly, both with shortness of breath and vital sign abnormalities, yet they require very different treatments. Here, we present two cases in which life-threatening acute endocarditis was initially misdiagnosed as COVID-19 infection during the height of the pandemic in New York City. The first was a case of Klebsiella pneumoniae mitral valve endocarditis leading to papillary muscle rupture and severe mitral regurgitation, and the second a case of Streptococcus mitis aortic valve endocarditis with heart failure due to severe aortic regurgitation. These cases highlight the importance of careful clinical reasoning and demonstrate how cognitive errors may impact clinical reasoning. They also underscore the limitations of real-time reverse transcription-polymerase chain reaction (RT-PCR) for SARS-CoV-2 testing and illustrate the ways in which difficulty interpreting results may also influence clinical reasoning. Accurate diagnosis of acute endocarditis is critical given that surgical intervention can be lifesaving in unstable patients.

PURPOSE/OBJECTIVE:The coronavirus disease-2019 (COVID-19) led to a large influx of critically ill patients and altered echocardiography laboratory workflow. We developed a point-of-care ultrasound (POCUS) first approach to patients requiring echocardiography and describe our workflow and findings. METHODS:We performed a single-center retrospective analysis of all POCUS studies performed on critically ill patients with COVID-19. Sonography was performed by intensivists, uploaded and archived, and rapidly reviewed by echocardiographers. We evaluated each study based on the number of views obtained. Additionally, we provide a description of the workflow during the COVID-19 surge at a tertiary care hospital in New York City. RESULTS:Fifty patients had POCUS studies performed by intensivists and reviewed by echocardiographers obviating the need for sonographer-performed studies. Of the 48 cardiac POCUS studies, 17% of patients had 4 of 4 standard views available while 53% had 3 of 4 standard views. The parasternal long-axis view was obtained on 81%, subxiphoid view on 79%, apical 4-chamber view on 71%, and parasternal short-axis view on 63% of patients. CONCLUSIONS:Our POCUS workflow allowed intensivists to perform cardiac sonography for rapid bedside diagnosis of pathology with immediate interpretation performed by echocardiographers. At least 3 views were obtained in the majority of cases.

This review comprises 2 main subjects: the percutaneous and surgical closure of the left atrial appendage (LAA) and atrial septal defect (ASD). The aim of the authors was to provide a detailed description of: 1) anatomy of LAA, normal interatrial septum, and the various types of ASD as revealed by noninvasive imaging techniques; 2) preprocedure planning of secundum ASD and LAA percutaneous closure; 3) key steps of the procedural guidance emphasizing the role of 2-dimensional/3-dimensional transesophageal echocardiography; and 4) surgical closure of LAA and ASD.

Left ventricular outflow tract (LVOT) obstruction in hypertrophic cardiomyopathy (HCM) is often caused by systolic anterior motion (SAM) of the mitral valve caused by the interplay between increased left ventricular (LV) wall thickness and an abnormal mitral valve anatomy and geometry. Three-dimensional (3D) echocardiographic imaging of the mitral valve has revolutionized the practice of cardiology, paving the way for new methods to see and treat valvular heart disease. Here we present the novel and incremental value of 3D transesophageal echocardiography (TEE) of SAM visualization. This review first provides step-by-step instructions on acquiring and optimizing 3D TEE imaging of SAM. It then describes the unique and novel findings using standard 3D TEE rendering as well as dynamic mitral valve modeling of SAM from 3D data sets, which can provide a more detailed visualization of SAM features. The findings include double-orifice LVOT caused by the residual leaflet, the dolphin smile phenomenon, and delineation of SAM width. Finally, the review discusses the essential role of 3D TEE imaging for preprocedural assessment and intraprocedural guidance of surgical and novel percutaneous treatments of SAM.

Tricuspid regurgitation (TR) is an uncommon and underdiagnosed complication of blunt chest trauma. Typical mechanisms include torn chordae, papillary muscle rupture, and radial leaflet tear. We describe an unusual case of traumatic TR due to circumferential avulsion of the anterior tricuspid leaflet from the tricuspid annulus and the crucial role of multimodality imaging in its diagnosis and treatment. (Level of Difficulty: Intermediate.).

Objectives/UNASSIGNED:In patients with atrial fibrillation, incomplete left atrial appendage (LAA) closure is associated with an increased risk for cardio-embolic events compared to complete closure. In this study, we aimed to determine the prevalence and risk factors for incomplete surgical closure of the LAA in the modern surgical era. Methods/UNASSIGNED:Records of 74 patients with surgical LAA closure who underwent follow-up transesophageal echocardiogram for any reason between 2010 and 2016, were assessed for incomplete closure. Complete closure was defined by absence of Doppler or color flow between the left atrial appendage and the left atrial body in more than 2 orthogonal views. Results/UNASSIGNED:Surgical LAA closure was incomplete in 21 patients (28%) and complete in 53 patients (72%). All included cases were completed via oversewing method with a double layer of running suture with or without excision of the LAA. While no individual demographic, echocardiographic, or surgical feature was significantly different between groups, incomplete closure of the LAA was more prevalent in patients with two or more of the risk factors; female sex, hypertension, and hyperlipidemia (OR 5.1, 95%Cl 1.5-17). Conclusions/UNASSIGNED:A significant rate of incomplete surgical LAA closure still exists in the modern surgical era, and the presence of multiple risk factors associate an increased risk of incomplete closure.