Background: Differentiating cardiovascular causes of dyspnea in resource-limited healthcare settings can be challenging. The use of easy-to-train, point-of-care, focused cardiac ultrasound (FoCUS) protocols may potentially alleviate this challenge.
Research Question: Can novices attain competency in FoCUS use after training using the cardiac ultrasound for resource-limited settings (CURLS) protocol?
Methods: A quasi-experimental study was conducted at the Kenyatta National Hospital in Nairobi, Kenya. Forty-five graduate medical pre-interns, novices in cardiac ultrasound, received simulated didactic and hands-on FoCUS skills training using the CURLS protocol and 2018 European Association of Cardiovascular Imaging (EACVI) FoCUS training and competence assessment recommendations. Competency was assessed in image interpretation, image acquisition, and image quality.
Results: Aggregate image interpretation competency was attained by n = 38 (84%) of trainees with a median score of 80%. The proportion of trainees attaining category-specific image interpretation competency was as follows: pericardial effusion n = 44 (98%), left atrial enlargement n = 40 (89%), cardiomyopathy n = 38 (84%), left ventricular hypertrophy n = 37 (82%), and right ventricular enlargement n = 29 (64%). Image acquisition skills competency was attained by n = 36 (80%) of trainees. Three-quarters of trainee-obtained images were of good quality.
Conclusion: Majority of the trainees attained competency. Training constraints limit the generalizability of our findings.
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http://dx.doi.org/10.1002/jcu.23654 | DOI Listing |
Curr Cardiol Rep
January 2025
Onassis Cardiac Surgery Center, Athens, Greece.
Purpose Of Review: Our purpose was to discuss the advantages and disadvantages of various noninvasive imaging modalities in the evaluation of cardiovascular disease (CVD) in patients with autoimmune rheumatic diseases (ARDs). The detailed knowledge of imaging modalities will facilitate the diagnosis and follow up of CVD in ARDs.
Recent Findings: Autoimmune Rheumatic Diseases (ARDs) are characterized by alterations in immunoregulatory system of the body.
Radiology
January 2025
From the Department of Cardiology (T.P., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), MIRACL.ai (Multimodality Imaging for Research and Analysis Core Laboratory: and Artificial Intelligence) (T.P., S.T., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), Inserm MASCOT-UMRS 942 (T.P., K.H., T.A.S., T.G., A.L., E.G., A.U., J.G.D., P.H.), and Department of Radiology (T.P., V.B., L.H., T.G.), Université Paris Cité, University Hospital of Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France; Cardiovascular Magnetic Resonance Laboratory (T.P., T.H., T.U., F.S., S.C., P.G., J.G.) and Cardiac Computed Tomography Laboratory (T.P., T.H., T.L., B.C., T.U., F.S., S.C., H.B., A.N., M.A., P.G., J.G.), Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France; Scientific Partnerships, Siemens Healthcare France, Saint-Denis, France (S.T.); Department of Cardiology, Hôpital Universitaire de Bruxelles-Hôpital Erasme, Brussels, Belgium (A.U.); and Department of Cardiovascular Imaging, American Hospital of Paris, Neuilly, France (O.V., M.S.).
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.
View Article and Find Full Text PDFTurk J Pediatr
December 2024
Department of Pediatric Cardiology, Ankara Bilkent City Hospital, Ankara, Türkiye.
Background: We aimed to evaluate how the parameters used in the diagnosis of metabolic syndrome (MetS) and parameters such as epicardial adipose tissue (EAT) thickness, insulin resistance (IR), and serum uric acid (SUA) are affected according to the severity of obesity.
Methods: A total of 120 obese patients aged 10-18 years were classified as class 1-2-3 according to their body mass index (BMI) score. SUA was measured and oral glucose tolerance tests were performed on all patients.
Heliyon
January 2025
Department of Ultrasound Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People's Republic of China.
Objectives: This study aimed to establish standard transesophageal echocardiographic (TEE) measurements of left ventricular (LV) morphology, function, and myocardial work parameters in healthy Beagle dogs using pressure-strain loops (PSL). Additionally, it sought to standardize optimal TEE imaging techniques and explore the potiential application of myocardial work analyis in veterinary medicine.
Methods: Thirty-seven healthy male Beagle dogs were anesthetized, intubated, and mechanically ventilated for TEE examinations.
J Soc Cardiovasc Angiogr Interv
December 2024
Department of Pediatric Cardiology, Wilhelmina Children's Hospital, University Medical Center of Utrecht, Utrecht, the Netherlands.
Background: Three-dimensional rotational angiography (3DRA) is a promising advancement to guide cardiac catheterizations. It is used with restraint in critically ill infants with congenital heart disease (CHD) due to the lack of research conducted within this patient group.
Methods: Data of all infants with CHD and a body weight <5 kg who underwent cardiac catheterization with the use of 3DRA between November 2011 and April 2021 were retrospectively analyzed.
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