Mapping of low-voltage bridges with a high-density multipolar catheter in a child with atrioventricular nodal reentry tachycardia.
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ABSTRACT:
SUBMITTER: Drago F
PROVIDER: S-EPMC6962720 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Publications
Mapping of low-voltage bridges with a high-density multipolar catheter in a child with atrioventricular nodal reentry tachycardia.
Drago Fabrizio F Calvieri Camilla C Allegretti Greta G Silvetti Massimo Stefano MS
HeartRhythm case reports 20190930 1
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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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Project description:BackgroundAtrioventricular nodal reentry tachycardia (AVNRT) is the most common manifestation of paroxysmal supraventricular tachycardia (PSVT). Increasing data have indicated familial clustering and participation of genetic factors in AVNRT, and no pathogenic genes related to AVNRT have been reported.MethodsWhole-exome sequencing (WES) was performed in 82 patients with AVNRT and 100 controls. Reference genes, genome-wide association analysis, gene-based collapsing, and pathway enrichment analysis were performed. A protein-protein interaction (PPI) network was then established; WES database in the UK Biobank and one only genetic study of AVNRT in Denmark were used for external data validation.ResultsAmong 95 reference genes, 126 rare variants in 48 genes were identified in the cases (minor allele frequency < 0.001). Gene-based collapsing analysis and pathway enrichment analysis revealed six functional pathways related to AVNRT as with neuronal system/neurotransmitter release cycles and ion channel/cardiac conduction among the top 30 enriched pathways, and then 36 candidate pathogenic genes were selected. By combining with PPI analysis, 10 candidate genes were identified, including RYR2, NOS1, SCN1A, CFTR, EPHB4, ROBO1, PRKAG2, MMP2, ASPH, and ABCC8. From the UK Biobank database, 18 genes from candidate genes including SCN1A, PRKAG2, NOS1, and CFTR had rare variants in arrhythmias, and the rare variants in PIK3CB, GAD2, and HIP1R were in patients with PSVT. Moreover, one rare variant of RYR2 (c.4652A > G, p.Asn1551Ser) in our study was also detected in the Danish study. Considering the gene functional roles and external data validation, the most likely candidate genes were SCN1A, PRKAG2, RYR2, CFTR, NOS1, PIK3CB, GAD2, and HIP1R.ConclusionThe preliminary results first revealed potential candidate genes such as SCN1A, PRKAG2, RYR2, CFTR, NOS1, PIK3CB, GAD2, and HIP1R, and the pathways mediated by these genes, including neuronal system/neurotransmitter release cycles or ion channels/cardiac conduction, might be involved in AVNRT.
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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:Intro The spike protein of the SARS-CoV-2 virus targets the human cell receptor of angiotensin-converting enzyme (ACE2), including the myocardium and heart's conduction system. Patients diagnosed with COVID-19 have also been found to exhibit cardiac arrhythmia. Here, a whole-genome sequencing analysis using long-read sequencing was proposed to evaluate the virus genome in a patient who presented with AVNRT as a main presentation of COVID-19. Methods The sample was recovered from nasopharyngeal and oropharyngeal swab specimens of a 46-year-old female with no comorbidities who presented with palpitation, and ECG showed typical AVNRT features. The RT-qPCR of SARS- CoV-2 was confirmed positive with a CT-value of 15.82. The total RNAs were extracted and proceeded for RT-qPCR and proceeded with Oxford Nanopore Flongle sequencing. The genomics data of the virus was deposited in GISAID (EPI_ISL_3241561) and further analysed using online bioinformatics tools such as Nextclade CLI 2.3.0. Ethical approval (IREC 2021–080) for the study was obtained from IIUM Research Ethics Committee. Findings Here, we reported a total of 29,775 bp near-complete whole-genome belonging to clade 21J (Delta) of AY.79 lineage (also known as B.1.617.2.79), which formed a dominant variant in Malaysia during the time of sampling. Discussion While a previous study showed an association between Delta variant infection with fulminant myocarditis, the present study reported the benign AVNRT as the main presentation of SARS-CoV-2 infection. Furthermore, we observed the presence of the C3037T mutation previously described in the endomyocardial biopsy of a patient with persistent arrhythmia. Conclusion Even though SARS-CoV-2 targets the respiratory tract, the present study supports the evidence that the ACE2 receptors are present in the heart. In addition, COVID19 is causing more and more damage to heart tissue, and viral transcription has been confirmed on cardiomyocytes. Further functional studies are needed to explore the associated mutations and their relation to cardiac manifestation.
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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:Background Catheter-based slow-pathway modification (SPM) is the treatment of choice for symptomatic atrioventricular nodal reentrant tachycardia (AVNRT). We sought to investigate the interactions between patient age and procedural outcomes in pediatric patients undergoing catheter-based SPM for AVNRT. Methods and Results A retrospective cohort study was performed, including consecutive patients undergoing acutely successful SPM for AVNRT from 2008 to 2017. Those with congenital heart disease, cardiomyopathy, and accessory pathways were excluded. Patients were stratified by age quartile at time of SPM. The primary outcome was AVNRT recurrence. A total of 512 patients underwent successful SPM for AVNRT. Age quartile 1 had 129 patients with a median age and weight of 8.9 years and 30.6 kg, respectively. Radiofrequency energy was used in 98% of cases. Follow-up was available in 447 (87%) patients with a median duration of 0.8 years (interquartile range, 0.2-2.5 years). AVNRT recurred in 22 patients. Multivariable Cox proportional hazard modeling identified atypical AVNRT (hazard ratio [HR], 5.83; 95% CI, 2.01-16.96; P=0.001), dual atrioventricular nodal only (HR, 4.09; 95% CI, 1.39-12.02; P=0.011), total radiofrequency lesions (HR, 1.06 per lesion; 95% CI, 1.01-1.12; P=0.032), and the use of a long sheath (HR, 3.52; 95% CI, 1.23-10.03; P=0.010) as predictors of AVNRT recurrence; quartile 1 patients were not at higher risk of recurrence (HR, 0.45; 95% CI, 0.10-1.97; P=0.29). Complete heart block requiring permanent pacing occurred in one quartile 2 patient at 14.9 years of age. Conclusions Pediatric AVNRT can be treated with radiofrequency-SPM with high procedural efficacy and minimal risk of complications, including heart block. Atypical AVNRT and dual atrioventricular nodal physiology without inducible tachycardia remain challenging substrates.
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