A pragmatic tool to screen for pre-transplant cognitive impairment among potential candidates for liver transplant.

INTRODUCTION: Cognitive impairment (CI) among liver transplant (LT) candidates is associated with increased risk of waitlist mortality and inferior outcomes. While formal neurocognitive evaluation is the gold standard for CI diagnosis, the Montreal Cognitive Assessment (MoCA) is often used for first-line cognitive screening. However, MoCA requires specialized training and may be too lengthy for a busy evaluation appointment. An alternate approach may be the Quick Dementia Rating System (QDRS), which is patient- and informant-based and can be administered quickly. We compared potential LT candidates identified by MoCA and QDRS as potentially benefiting from further formal cognitive evaluation. METHODS: We identified 46 potential LT candidates enrolled at a single center of a prospective, observational cohort study who were administered MoCA and QDRS during transplant evaluation (12/2021-12/2022). Scores were dichotomized as (1) normal versus abnormal and (2) normal/mild impairment versus more-than-mild impairment. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of QDRS compared to MoCA. RESULTS: By MoCA, this population had a prevalence of 48% normal cognition, 48% mild, 4% moderate, and 0% severe impairment. This was categorized as 96% normal/mild and 4% more-than-mild impairment. When comparing to MoCA cognitive screening, QDRS had a sensitivity of 61%, specificity of 56%, NPV of 56%, and PPV of 61%. When identifying more-than-mild impairment, QDRS had a sensitivity of 100%, specificity of 73%, NPV of 100%, and PPV of 10%. CONCLUSION: The high sensitivity and NPV of QDRS in identifying more-than-mild impairment suggests it could identify potential LT candidates who would benefit from further formal cognitive evaluation. The ability to administer QDRS quickly and remotely makes it a pragmatic option for pre-transplant screening.

Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes.

Aortic valve defects are among the most prevalent clinical conditions. A severely damaged or non-functioning aortic valve is commonly replaced with a bioprosthetic heart valve (BHV) via the transcatheter aortic valve replacement (TAVR) procedure. Accurate pre-operative planning is crucial for a successful TAVR outcome. Assessment of computational fluid dynamics (CFD), finite element analysis (FEA), and fluid-solid interaction (FSI) analysis offer a solution that has been increasingly utilized to evaluate BHV mechanics and dynamics. However, the high computational costs and the complex operation of computational modeling hinder its application. Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. Herein, we provide a comprehensive review of classical computational modeling approaches, medical imaging, and DL approaches for planning and outcome assessment of TAVR. Particularly, we focus on DL approaches in previous studies, highlighting the utilized datasets, deployed DL models, and achieved results. We emphasize the critical challenges and recommend several future directions for innovative researchers to tackle. Finally, an end-to-end smart DL framework is outlined for real-time assessment and recommendation of the best BHV design for TAVR. Ultimately, deploying such a framework in future studies will support clinicians in minimizing risks during TAVR therapy planning and will help in improving patient care.

Multimodality Imaging in Aortic Stenosis.

Aortic stenosis (AS) is the most common cardiac valve lesion in the adult population, with an incidence increasing as the population ages. Accurate assessment of AS severity is necessary for clinical decision-making. Echocardiography is currently the diagnostic method of choice for assessing and managing AS. Transthoracic echocardiography is usually sufficient in most situations. Transesophageal echocardiography and stress echocardiography may also be utilized when there is inadequate image quality and/or discordance in the results and the clinical presentation. There is a role for other imaging modalities such as cardiac computed tomography, magnetic resonance imaging, and catheterization in selected cases. The following describes in some detail the role of these modalities in the diagnosis and assessment of AS.

Safe Echocardiographic Practice in Hamad Medical Corporation during the Coronavirus Disease 2019 Pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has strained our healthcare system. Certain changes in practice were mandatory to protect our sonographers who carry a very high risk of being infected, and the patients whom we serve. This article aims to share this experience with you.

Right Atrial Pseudoaneurysm Complicating Epithelioid Hemangioendothelioma.

Cardiac pseudoaneurysm is uncommon among young adults with trauma. Infection, prior cardiac procedure, or cardiac operations are the most common reported causes. Right atrial pseudoaneurysm (RAPA) is extremely rare. Although often challenging to diagnose, advances in noninvasive imaging have improved the ability to diagnose cardiac pseudoaneurysms. We present a case of RAPA, highlighting the diagnostic accuracy of echocardiography in this rare entity.

Hypertrophic Cardiomyopathy: Prevalence, Hypertrophy Patterns, and Their Clinical and ECG Findings in a Hospital at Qatar.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a genetic disease associated with risk of morbidity and sudden cardiac death. The prevalence, hypertrophy patterns, mode of presentations, and different ECG findings vary in different regions of the world. To date, no data is present regarding these variables in Qatar. PATIENTS AND METHODS: A retrospective, cross sectional, descriptive analysis of all patients referred for echocardiography study at Hamad General Hospital, Qatar. The study period was from January 2008 till December 2010. AIMS: To study 1) the prevalence of HCM, 2) the different patterns of hypertrophy, and 3) the clinical and ECG presentations in this population. RESULTS: Out of the 29,286 cases evaluated, 38 patients were found to have HCM (0.13%). Their clinical, ECG, and echocardiography findings were analyzed. Mean age was 47 y, 35 males (92%) and 3 females (8%). Four patterns of hypertrophy were described; 17 (44.7%) had septal hypertrophy alone, 6 (15.8%) had septal and other segments hypertrophy but sparing the apex, 10 (26.3%) had apical segments along with any other segment hypertrophy, and 5 (13.2%) had apical hypertrophy alone. No obstruction was found in 19 (50%), left ventricular outflow (LVO) tract obstruction was found in 13 (34%), and mid cavity obstruction (MCO) in 6 (16%). Twenty one (55.3%) patients were referred because of chest pain, 15 (39.5%) with palpitations, 15 (39.5%) with shortness of breath, and 5 (13.2%) with syncope. Nine patients (23.7%) were asymptomatic and were referred because of cardiac murmur during routine examination. ECG evidence of LV hypertrophy was found in 29 (76.3%). CONCLUSION: The prevalence of HCM in our population group is 0.13% with a male predominance (12:1). There was a diversity of clinical presentation, ECG abnormalities and patterns of LV hypertrophy among HCM patients.

Echocardiography in left ventricular assist device.

LVAD = Left Ventricular Assist Device; LV = Left Ventricle; LA = Left Atrium; AO = Aorta.