Results 111 to 120 of about 109,288 (332)

Tachycardia induced cardiomyopathy due to ectopic atrial tachycardia originating from the atrial appendage: A case series and review of literature

Indian Pacing and Electrophysiology Journal
This case series describes four cases of tachycardia-induced cardiomyopathy due to incessant ectopic atrial tachycardias from the atrial appendage (three from the right atrial appendage, one from the left).
Abhinav Aggarwal, Anil Yadav, Ankit Jain, Anunay Gupta   +3 more
doaj   +1 more source

Double-gap-in-roof reentrant tachycardia following surgical thoracoscopic atrial fibrillation ablation

Indian Pacing and Electrophysiology Journal, 2015
A case of macro-reentrant tachycardia associated with a box lesion after thoracoscopis left atrial surgical atrial fibrillation (AF) ablation yet to be described.
Pavel Osmancik, Jana Zdarska, Petr Budera, Zbynek Straka   +3 more
doaj   +1 more source

Shortening of the Short Refractory Periods in Short QT Syndrome. [PDF]

, 2017
BACKGROUND: Diagnosis of short QT syndrome (SQTS) remains difficult in case of borderline QT values as often found in normal populations. Whether some shortening of refractory periods (RP) may help in differentiating SQTS from normal subjects is unknown.
Cardin, C, Fourcade, C, Gaita, F, Gandjbakhch, E, Giustetto, C, Maupain, C, Maury, P, Mondoly, P, Monteil, B, Rollin, A, Scrocco, C   +10 more
core   +3 more sources

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Radiofrequency Ablation of Focal Atrial Tachycardia from Coronary Sinus

Majalah Kardiologi Indonesia, 2017
Focal atrial tachycardia (AT) is defined as atrial activation originating from a discrete focus with centrifugal spread. Available information suggests that focal activity can be caused by automaticity, triggered activity, or microreentry.
Muhammad Reza, Dicky A A Hanafy, Yanuar B. Hartanto, Sunu B Raharjo, Yoga Yuniadi   +4 more
doaj   +1 more source

Rabbit models of heart disease. [PDF]

, 2008
Human heart disease is a major cause of death and disability. A variety of animal models of cardiac disease have been developed to better understand the etiology, cellular and molecular mechanisms of cardiac dysfunction and novel therapeutic strategies ...
Bers, Donald M, Pogwizd, Steven M
core  

Cardiovascular Plasticity and Adaptation of High‐Altitude Birds and Mammals

Integrative Zoology, EarlyView.
This schematic depicts the cardiovascular adaptations of mammals and birds to high‐altitude hypoxia. It highlights key phenotypic changes in oxygen transport and cardiac responses, driven by molecular mechanisms including transcriptional regulation and genetic modifications.
Huishang She, Yanhua Qu
wiley   +1 more source

Electrophysiology Study for Complex Supraventricular Tachycardia in Congenital Heart Disease Patients With Single‐Ventricle Physiology

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2016
BackgroundSupraventricular tachycardia (SVT) is common in complex congenital heart disease (CCHD) patients with single‐ventricle physiology and may cause hemodynamic deterioration.
Shuenn‐Nan Chiu, Jou‐Kou Wang, Chun‐Wei Lu, Kun‐Lang Wu, Wei‐Chieh Tseng, Mei‐Hwan Wu   +5 more
doaj   +1 more source

Pre‐operative anaemia, red blood cell transfusion and mortality after cardiac surgery: a Netherlands Heart Registration mediation analysis

Anaesthesia, EarlyView.
Summary Introduction Pre‐operative anaemia is an established risk factor for mortality after cardiac surgery. The extent to which this risk is mediated by complications related to red blood cell transfusion remains uncertain, particularly across different age groups.
Elisabeth M. Groenewegen, Peter G. Noordzij, Eline Vlot, Saskia Houterman, Toni Klok, Alexander J. Spanjersberg, Maarten Ter Horst, Joost M. A. A. Van Der Maaten, Susanne Eberl, Remco R. Berendsen, R. Arthur Bouwman, Bastiaan M. Gerritse, Thierry V. Scohy, Johannes S. E. Haenen, Jan Hofland, Marieke F. Kingma, Jan Van Klarenbosch, Sander Bramer, Marcel P. J. De Korte, Nicobert E. Wietsma, Olaf L. Cremer, Lizbeth Burgos Ochoa, Thijs C. D. Rettig, on behalf of the NHR Cardiothoracic Surgery Registration Committee of the Netherlands Heart Registration   +23 more
wiley   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

Artificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato, Takeshi Goto, Tomoyuki Ohira, Hirotaka Kinoshita, Kugo Kurokawa, Kouhei Naganuma, Chikako Ohminato, Junko Ogasawara, Shingo Hatakeyama, Yoshihiro Sasaki, Kazuyoshi Hirota, Chikara Ohyama   +11 more
wiley   +1 more source