Cannon waves in atrioventricular nodal re-entry tachycardia.
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ABSTRACT:
SUBMITTER: Senguttuvan NB
PROVIDER: S-EPMC3563914 | biostudies-literature | 2013 Feb
REPOSITORIES: biostudies-literature
Publications
Cannon waves in atrioventricular nodal re-entry tachycardia.
Senguttuvan Nagendra Boopathy NB Patil Nilkanth Chandrakant NC
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne 20120730 2
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Project description:A patient presented with symptoms of palpitations. Her standard 12-lead electrocardiogram captured 3 potential causes of her symptoms (premature atrial contractions, junctional rhythm, and narrow complex tachycardia). Further workup uncovered dual atrioventricular node physiology with 1:2 sinus conduction and resultant alternating QRS from a slow and fast conduction pathway. (Level of Difficulty: Intermediate.).
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Project description:BackgroundAccurately determining arrhythmia mechanism from a 12-lead electrocardiogram (ECG) of supraventricular tachycardia can be challenging. We hypothesized a convolutional neural network (CNN) can be trained to classify atrioventricular re-entrant tachycardia (AVRT) vs atrioventricular nodal re-entrant tachycardia (AVNRT) from the 12-lead ECG, when using findings from the invasive electrophysiology (EP) study as the gold standard.MethodsWe trained a CNN on data from 124 patients undergoing EP studies with a final diagnosis of AVRT or AVNRT. A total of 4962 5-second 12-lead ECG segments were used for training. Each case was labeled AVRT or AVNRT based on the findings of the EP study. The model performance was evaluated against a hold-out test set of 31 patients and compared to an existing manual algorithm.ResultsThe model had an accuracy of 77.4% in distinguishing between AVRT and AVNRT. The area under the receiver operating characteristic curve was 0.80. In comparison, the existing manual algorithm achieved an accuracy of 67.7% on the same test set. Saliency mapping demonstrated the network used the expected sections of the ECGs for diagnoses; these were the QRS complexes that may contain retrograde P waves.ConclusionWe describe the first neural network trained to differentiate AVRT from AVNRT. Accurate diagnosis of arrhythmia mechanism from a 12-lead ECG could aid preprocedural counseling, consent, and procedure planning. The current accuracy from our neural network is modest but may be improved with a larger training dataset.
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Project description:BackgroundSarcoidosis is a rare disease, and cardiac involvement is seen in the minority of patients. The clinical symptoms depend on the location of the noncaseating granulomas in the heart and vary from asymptomatic to atrioventricular (AV) conduction block, ventricular arrhythmia, heart failure, and sudden cardiac death. Clinically manifest cardiac sarcoidosis seldomly presents with supraventricular tachycardia.Case summaryWe present a case where a female patient presented with AV nodal re-entrant tachycardia as an uncommon initial presentation of cardiac sarcoidosis. Her resting electrocardiogram showed a complete left bundle branch block and first-degree AV conduction block. During hospitalization, there was continuous switching between sinus rhythm with first-degree AV block, 2:1 AV block, and AV nodal re-entrant tachycardia.DiscussionIt is important to be aware that cardiac sarcoidosis can rarely present with supraventricular tachycardia as initial symptom. Given the elevated risk of sudden cardiac death, early detection is crucial and all patients who require permanent pacing should be considered for implantable cardioverter-defibrillator implantation.
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Project description:BackgroundDuring slow pathway modification for atrioventricular nodal reentrant tachycardia, heart block may occur if ablation cannot be stopped in time in response to high risk electrogram features (HREF).ObjectivesTo develop an automatic algorithm to monitor HREF and terminate ablation earlier than human reaction.MethodsDigital electrogram data from 332 ablation runs from February 2020 to June 2022 were included. They were divided into training and validation sets which contained 126 and 206 ablation runs respectively. HREF in training set was measured. Then a program was developed with cutoff values decided from training set to capture all these HREF. Simulation ablation videos were rendered using validation set electrogram data. The videos were played to three independent electrophysiologists who each determined when to stop ablation. Timing of ablation termination, sensitivity, and specificity were compared between human and program.ResultsReasons for ablation termination in the training set include short AA time, short VV time, AV block and VA block. Cutoffs for the program were set to maximize program sensitivity. Sensitivity and specificity for the program in the validation set were 95.2% and 91.1% respectively, which were comparable to that of human performance at 93.5% and 95.4%. If HREF were recognized by both human and program, ablations were terminated earlier by the program 90.2% of times, by a median of 574 ms (interquartile range 412-807 ms, p < 0.001).ConclusionAlgorithmic-driven monitoring of slow pathway modification can supplement human judgement to improve ablation safety.
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Project description:Regular narrow QRS tachycardia, particularly if well-tolerated, is usually considered a "benign" arrhythmia of a supraventricular origin. This case concerns an 82-year-old male with ischemic heart disease who presented with recurrent episodes of a narrow QRS tachycardia that was initially diagnosed and treated as atrial tachyarrhythmia. However, careful physical examination and ECG analysis established the correct diagnosis, and the patient was managed appropriately. Remarkably, the observation of irregular cannon A waves, and Lewis lead recording, confirmed atrioventricular dissociation during tachycardia and indicated its underlying mechanism.
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Project description:BackgroundAtrioventricular nodal re-entrant tachycardia (AVNRT) is the most common paroxysmal supraventricular tachycardia. We sought to investigate the incidence of atrial fibrillation in patients with electrophysiologically confirmed/ablated AVNRT and its association with transient ischemic attack (TIA)/stroke as well as mortality during long-term follow-up.MethodsFrom the Karolinska Ablation Registry, 2855 consecutive patients with a first-time ablation for AVNRT between 2005 and 2018 were analyzed.ResultsPatients were 52.1 ± 15.9 years old and 59.3% were women. During follow-up of up to 10 years (median 6.0 years; interquartile range 3.3 to 9.2 years), new onset or recurrence of atrial fibrillation occurred in 317 (11.1%) patients (incidence rate 19 cases per 1000 person-years). Excluding those with history of atrial fibrillation, new onset of atrial fibrillation occurred in 153 (6.1%) patients. In multivariable analysis, history of atrial fibrillation, arterial hypertension, history of TIA/stroke, and heart failure remained independently associated with new onset or recurrence of atrial fibrillation during follow-up. Death of any cause and TIA/stroke occurred in 141 (4.9%) patients and 107 (3.7%) patients, respectively. In multivariable analysis, occurrence of atrial fibrillation during follow-up remained independently associated with both outcomes. The prevalence of atrial fibrillation according to age at the end of follow-up was high among young patients (<60 years of age: 12.7%; 60-69 years of age: 10.6%).ConclusionIn this large cohort of patients with diagnosed AVNRT, the incidence of atrial fibrillation was high (11.1%) during long-term follow-up. Occurrence of atrial fibrillation during follow-up remained independently associated with death for any cause as well as with TIA/stroke. Therefore, a closer monitoring for atrial fibrillation in patients with AVNRT including those at young age is advisable.
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Project description:BackgroundPregnancy is a known trigger of novel and pre-existing supraventricular tachyarrhythmias. We present a case of a stable pregnant patient presenting with atrioventricular nodal reentry tachycardia (AVNRT) and application of the 'facial ice immersion technique'.Case summaryA 37-year-old pregnant woman presented with recurrent AVNRT. Due to unsuccessful attempts of conventional vagal manoeuvres (VMs) and refusal of pharmacological agents, we successfully performed a non-conventional VM with the 'facial ice immersion technique'. This technique was applied successfully at repeated clinical presentation.DiscussionThe role of non-pharmacological interventions remains pivotal and may lead to desired therapeutical effects without the use of any costly pharmacological agents with possible adverse events. However, non-conventional VMs such as the 'facial ice immersion technique' are less commonly known but appear to be easy and a safe option for both mother and foetus in the management of AVNRT during pregnancy. Clinical awareness and understanding of treatment options are imperative in contemporary patient care.
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