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The ECG is crucial in the prehospital (and early inhospital) phase of patients with symptoms suggestive of myocardial ischemia. Therefore, new algorithms for ECG-based myocardial ischemia detection are continuously being researched. Development and validation of these algorithms require a database of acute ECGs (from the prehospital or emergency department setting) including a representative mix of cases (ischemia present) and controls (no ischemia present). Therefore, for every patient in this mix, the "truth" regarding the actual presence or absence of myocardial ischemia during the recording of the acute ECG has to be determined to compare the newly developed algorithm against. This post hoc adjudication process of determining whether an acute (either prehospitally acquired or acquired in the emergency department) ECG was made under ischemic conditions should use all available clinical data (the clinical diagnosis, cardiac imaging data, and laboratory values) of the subsequent patient's admission. Even with all data at hand, post hoc labeling a patient and their acute ECG as a myocardial ischemia case or control cannot be forced into a binary division between definite cases and definite controls. More specifically, to be used for the development of a new algorithm, the patients' ECG has to be scored for the presence or absence of myocardial ischemia at the exact moment of its recording, which renders the classification even more difficult. For instance, even though it may be plausible that myocardial ischemia was present at a given moment during the patient's admission, this is not necessarily proof that the prehospital (or early inhospital) ECG was also made in ischemic conditions: ischemia can be a fluctuating process (as is, e.g., the case in unstable angina pectoris). Therefore, post hoc classification of an acute ECG in terms of the absence or presence of ischemia requires a multipoint scale ranging between definite ischemic to definite non-ischemic, for instance using a 5-point scale (presumed non-ischemic, probably non-ischemic, uncertain, probably ischemic, presumed ischemic). To summarize, the post hoc adjudication process of ECGs of ambulance (and emergency department) patients cannot result in a binary division into definite cases and controls (i.e., patients with or without myocardial ischemia during the recording of the acute ECG), as myocardial ischemia is often dynamic rather than constant. ECGs could be labeled on a multi-point scale, in which the label represents the probability of the actual presence (or absence) of myocardial ischemia at the exact moment of the recording of that ECG. Further development of algorithms for myocardial ischemia detection should consider this concept.
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http://dx.doi.org/10.1016/j.jelectrocard.2023.08.007 | DOI Listing |
Circ Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).
Future Cardiol
September 2025
Department of Internal Medicine, Valley Health System Graduate Medical Education, Las Vegas, NV, USA.
A 71-year-old black male with a history of hypertension, dyslipidemia, type 2 diabetes, history of bladder cancer status-post resection now in remission, history of multiple transient ischemic attacks, and coronary artery disease (CAD) presented with non-exertional substernal chest pain radiating to the left arm, accompanied by shortness of breath and nausea. Initial evaluation revealed elevated troponins and nonspecific electrocardiogram changes, consistent with non-ST elevation myocardial infarction. Coronary angiography demonstrated severe multivessel disease, including critical left main stenosis.
View Article and Find Full Text PDFJ Biomed Res
September 2025
Internal medicine department, Faculty of Medicine, Universitas Udayana/Ngoerah hospital, Denpasar, Bali, Indonesia.
Cardiol Young
September 2025
Department of Anesthesiology and Reanimation, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey.
Objectives: This study aimed to evaluate the predictive accuracy of Paediatric Risk of Mortality-III, Paediatric Index of Mortality-II, and Paediatric Logistic Organ Dysfunction scoring systems for major adverse events following congenital heart surgery.
Methods: This prospective observational study included patients under 18 years of age who were admitted to the ICU for at least 24 hours postoperatively following congenital heart surgery. Major adverse events were defined as a composite of 30-day mortality, ICU readmission, reintubation, acute neurologic events, requirement for extracorporeal membrane oxygenation, cardiac arrest requiring cardiopulmonary resuscitation, need for a permanent pacemaker, acute kidney injury, or unplanned reoperation.