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Which Test is Best for Pain in the Chest?
R I Med J (2013)
February 2025
Professor of Medicine, Clinician Educator, Warren Alpert Medical School, Brown University; Associate Chief, Cardiology, Brown University Health Cardiovascular Institute, Providence, Rhode Island.
Chest pain is one of the most common chief complaints seen in both the emergency department (ED) and primary care settings.1,2 It is estimated that 20-40% of the general population will suffer from chest pain at some point throughout their lives.3 Interestingly although obstructive coronary artery disease (CAD) prevalence has declined, chest pain as a presenting symptom has become increasingly common over the last decade.
View Article and Find Full Text PDFDetermining the QRS axis: visual estimation is equal to calculation.
Herzschrittmacherther Elektrophysiol
January 2025
Hannover Heart Rhythm Center, Department of Cardiology & Angiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Background: The QRS axis of the electrocardiogram (ECG) is often considered in clinical practice, but its determination is frequently limited to a rough estimation, such as "normal", with left or right deviation, and superior or inferior in the case of premature ventricular complexes (PVCs). However, a more exact determination of the QRS axis may be warranted in certain scenarios, such as to determine the origin of PVCs more precisely, and is attainable by visual estimation using the hexaxial reference system.
Objectives: The aim of this study was to determine how well such an estimation of the QRS axis would correlate with the axis calculated by formulas.
The added value of ECG abnormalities in predicting incident cardiovascular disease risk for people with type 2 diabetes: The Hoorn Diabetes Care System cohort.
Eur J Prev Cardiol
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice Medicine, De Boelelaan 1117, Amsterdam, The Netherlands.
Aims: To investigate if adding ECG abnormalities as a predictor improves the performance of incident CVD-risk prediction models for people with type 2 diabetes (T2D).
Methods: We evaluated the four major prediction models that are recommended by the guidelines of the American College of Cardiology/American Heart Association and European Society of Cardiology, in 11,224 people with T2D without CVD (coronary heart disease, heart failure, stroke, thrombosis) from the Hoorn Diabetes Care System cohort (1998-2018). Baseline measurements included CVD-risk factors and ECG recordings coded according to the Minnesota Classification as no, minor or major abnormalities.
Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning.
J Cardiovasc Magn Reson
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Purpose: To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
Methods: A multi-tasking neural network architecture, incorporating disentangled representation learning, was trained using simulated examinations based on data from a public repository along with MR scans specifically acquired for model development. An exploratory feasibility study evaluated the method on undersampled real-time acquisitions using an in-house developed spiral bSSFP pulse sequence in eight healthy participants and five patients with intermittent atrial fibrillation.
Risk Stratification of QTc Prolongations in Hospitalized Cardiology and Gastroenterology Patients Using the Tisdale Score-A Retrospective Analysis.
J Clin Med
January 2025
Hospital Pharmacy, LMU University Hospital, 81377 Munich, Germany.
: QTc prolongation can result in lethal arrhythmia. Risk scores like the Tisdale score can be used for risk stratification for targeted pharmaceutical interventions. However, the practical usability across different medical specialties has not been sufficiently investigated.
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