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Procedure: Electrocardiogram
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Total 1439 results found since Jan 2013.
Screening for undiagnosed atrial fibrillation using a single-lead electrocardiogram at primary care visits: patient uptake and practitioner perspectives from the VITAL-AF trial
CONCLUSIONS: Though the benefits and harms of screening for AF remain uncertain, most older patients underwent screening and PCPs were able to manage SL-ECG results, supporting the feasibility of routine primary care screening. PCPs exposed to a SL-ECG device preferred it over pulse palpation. PCPs were largely uncertain about AF screening done outside of practice visits.TRIAL REGISTRATION: ClinicalTrials.gov NCT03515057. Registered May 3, 2018.PMID:37391738 | DOI:10.1186/s12875-023-02087-5
Source: Primary Care - June 30, 2023 Category: Primary Care Authors: Steven J Atlas Jeffrey M Ashburner Yuchiao Chang Leila H Borowsky Patrick T Ellinor David D McManus Steven A Lubitz Daniel E Singer Source Type: research
Zero-contrast imaging for the assessment of transcatheter aortic valve implantation in candidates with renal dysfunction
CONCLUSION: The proposed contrast-free imaging protocol appears to be a promising clinical tool for pre-TAVI evaluation in patients with severe renal dysfunction.PMID:37350345 | DOI:10.1080/0886022X.2023.2224888
Source: Renal Failure - June 23, 2023 Category: Urology & Nephrology Authors: Guy F A Prado Stefano Garzon Jose Mariani Adriano Caixeta Breno O Almeida Felipe O Ramalho Marcelo L C Vieira Claudio H Fischer Gilberto Szarf Walther Ishikawa Pedro A Lemos Source Type: research
Antithrombotiques oraux et pronostic apr ès un an des patients atteints de fibrillation auriculaire dans un milieu à ressources limitées
CONCLUSION: Half of patients with atrial fibrillation in this registry developed an outcome after one year of follow-up, with heart failure, new onset and paroxystic atrial fibrillation being the main predicting factors. Diagnosing and managing atrial fibrillation in patients with heart disease should therefore be considered as a key priority.PMID:37331159 | DOI:10.1016/j.ancard.2023.101616
Source: Annales de Cardiologie et d'Angeiologie - June 18, 2023 Category: Cardiology Authors: Anastase Dzudie Ines Kwawa Irene Magha Sidick Mouliom Annick Melanie Magnerou Daniel Gams Massi Blaise Barche Jules Ndjebet Manuella Magne Fotsing Viche Lade Armel Djomou Marie Solange Ndom Martin Hongieh Abanda Domin Sone Majunda Ekaney Niba Juste Ongeh Source Type: research
Spontaneous calcific cerebral embolization revealing a calcified rheumatic mitral stenosis: a case report
ConclusionSpontaneous calcified cerebral emboli secondary to mitral valve leaflet calcifications is an extremely rare condition. Replacement of the valve is the only option to prevent recurrent emboli and outcomes are still to be determined.
Source: Journal of Medical Case Reports - June 18, 2023 Category: General Medicine Source Type: research
Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study)
Conclusion
The validation results show that diagnoses of AMI and stroke in primary care EMRs constitute a helpful tool in epidemiological studies. The prevalence of AMI and stroke was lower than 2% in the population aged over 18 years.
Source: BMJ Open - June 12, 2023 Category: General Medicine Authors: de Burgos-Lunar, C., del Cura-Gonzalez, I., Cardenas-Valladolid, J., Gomez-Campelo, P., Abanades-Herranz, J. C., Lopez-de-Andres, A., Sotos-Prieto, M., Iriarte-Campo, V., Fuentes-Rodriguez, C. Y., Gomez-Coronado, R., Salinero-Fort, M. A. Tags: Open access, Cardiovascular medicine Source Type: research
A smart devices based secondary prevention program for cerebrovascular disease patients
ConclusionOur study suggests that prevention programs for cerebrovascular disease may benefit from the implementation of new technologies.
Source: Frontiers in Neurology - June 2, 2023 Category: Neurology Source Type: research
Machine Learning-Based Prediction of Atrial Fibrillation Risk Using Electronic Medical Records in Older Aged Patients
Atrial fibrillation (AF) is an independent risk factor that increases the risk of stroke 5-fold. The purpose of our study was to develop a 1-year new-onset AF predictive model by machine learning based on 3-year medical information without electrocardiograms in our database to identify AF risk in older aged patients. We developed the predictive model according to the Taipei Medical University clinical research database electronic medical records, including diagnostic codes, medications, and laboratory data.
Source: The American Journal of Cardiology - May 18, 2023 Category: Cardiology Authors: Yung-Ta Kao, Chun-Yao Huang, Yu-Ann Fang, Ju-Chi Liu, Tzu-Hao Chang Source Type: research
Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review
Biomedicines. 2023 Apr 10;11(4):1138. doi: 10.3390/biomedicines11041138.ABSTRACTThe correct recognition of the etiology of ischemic stroke (IS) allows tempestive interventions in therapy with the aim of treating the cause and preventing a new cerebral ischemic event. Nevertheless, the identification of the cause is often challenging and is based on clinical features and data obtained by imaging techniques and other diagnostic exams. TOAST classification system describes the different etiologies of ischemic stroke and includes five subtypes: LAAS (large-artery atherosclerosis), CEI (cardio embolism), SVD (small vessel disea...
Source: Atherosclerosis - May 16, 2023 Category: Cardiology Authors: Giuseppe Miceli Maria Grazia Basso Giuliana Rizzo Chiara Pintus Elena Cocciola Andrea Roberta Pennacchio Antonino Tuttolomondo Source Type: research
