An Exploratory Study on Vectorcardiographic Identification of the Site of Origin of Focally Induced Premature Depolarizations in Horses, Part I: The Atria.
Glenn Van SteenkisteTammo DelhaasBen J M HermansLisse VeraAnnelies DecloedtGunther van LoonPublished in: Animals : an open access journal from MDPI (2022)
In human cardiology, the anatomical origin of atrial premature depolarizations (APDs) is derived from P wave characteristics on a 12-lead electrocardiogram (ECG) and from vectorcardiography (VCG). The objective of this study is to differentiate between anatomical locations of APDs and to differentiate APDs from sinus rhythm (SR) based upon VCG characteristics in seven horses without cardiovascular disease. A 12-lead ECG was recorded under general anaesthesia while endomyocardial atrial pacing was performed (800-1000 ms cycle length) at the left atrial free wall and septum, right atrial free wall, intervenous tubercle, as well as at the junction with the cranial and caudal vena cava. Catheter positioning was guided by 3D electro-anatomical mapping and transthoracic ultrasound. The VCG was calculated from the 12-lead ECG using custom-made algorithms and was used to determine the mean electrical axis of the first and second half of the P wave. An ANOVA for spherical data was used to test if the maximal directions between each paced location and the maximal directions between every paced location and SR were significantly ( p < 0.05) different. Atrial pacing data were not available from the LA septum in three horses, the intervenous tubercle in two horses, and from the LA free wall in one horse. The directions of the maximal electrical axes showed significant differences between all paced locations and between the paced locations and SR. The current results suggest that VCG is useful for identifying the anatomical origin of an atrial ectopy.
Keyphrases
- left atrial
- atrial fibrillation
- heart rate
- catheter ablation
- mitral valve
- heart rate variability
- left ventricular
- vena cava
- cardiovascular disease
- resistance training
- blood pressure
- electronic health record
- endothelial cells
- machine learning
- big data
- high resolution
- heart failure
- magnetic resonance imaging
- mass spectrometry
- type diabetes
- cardiac resynchronization therapy
- artificial intelligence
- computed tomography
- high glucose
- high density
- drug induced
- cardiac surgery
- ms ms
- body composition
- ultrasound guided
- high speed
- pulmonary embolism
- induced pluripotent stem cells