Ventricular activation in normal sinus rhythm: Abnormalities with recurrent sustained tachycardia and a history of myocardial infarction

1985 ◽  
Vol 55 (8) ◽  
pp. 974-979 ◽  
Author(s):  
William J. Untereker ◽  
Scott R. Spielman ◽  
Harvey L. Waxman ◽  
Leonard N. Horowitz ◽  
Mark E. Josephson
2022 ◽  
Vol 54 (4) ◽  
pp. 370-372
Author(s):  
Intisar Ahmed ◽  
Hunaina Shahab ◽  
Aamir Hameed Khan

A 77 -year-old lady with history of hypertension and Parkinson`s disease was admitted with cough and fever and diagnosed as pneumonia. On second day of admission, she started having chest pain, initial ECG was interpreted as atrial flutter. When her ECG was reviewed by a cardiologist, ECG features were found to be consistent with artifacts due to tremors. A repeat 12 leads ECG clearly demonstrated normal sinus rhythm and the patient remained completely asymptomatic throughout the hospital stay. Tremor induced artifacts can be mistaken for arrhythmias. Correct diagnosis is important, in order to avoid inappropriate treatment and unnecessary interventions.


2022 ◽  
Vol 2022 ◽  
pp. 1-4
Author(s):  
Joshua H. Arnold ◽  
Neil Brandon

We present the case of a 61-year-old male who developed persistent hiccups concurrently with the onset of atrial fibrillation (AF). The hiccups were refractory to traditional treatment but resolved immediately upon electrical cardioversion (ECV) to normal sinus rhythm (NSR). The patient has remained in NSR and free of hiccups. The potential etiologies for hiccups are numerous and varied, and the management of persistent hiccups can be difficult. Cardiac associations including myocardial infarction and pericarditis have been described, while few cases of first-time onset of atrial fibrillation leading to hiccups have been documented. This case discusses a unique instance demonstrating a connection between hiccups and cardiac pathology and an overview of its management.


2020 ◽  
pp. 48-53
Author(s):  
Praveen Shukla ◽  
Awadhesh Kumar Sharma ◽  
Biswajit Majumder ◽  
Pritam Kumar Chatterjee ◽  
Vinay Krishna ◽  
...  

Objectives – Non- valvular atrial fibrillation (NVAF) is the most commonly occurring arrhythmia worldwide .Ranolazine is an emerging drug with a ray of hope in the management of NVAF. This is the first large observational study with longer follow up of one year. Methods - It is a hospital based observational prospective study. A total of 100 patients was recruited for the study .The primary objective was to determine the efficacy of ranolazine in converting NVAF to sinus rhythm & the secondary objective was to study epidemiological aspects of NVAF. Results –After 1 month of follow up conversion to normal sinus rhythm was 12% in group A & 6% in group B (6%), it was not significant statistically (Z=1.48p=0.13). After 6 months, conversion to normal sinus rhythm was increased from 12% to 18% in group A which was preserved at 12 months of follow up and statistically significant and higher than that of group B (6.0%) (Z=2.61p=0.009). In predisposing risk factors & other co-morbidities HTN was present in 61%, obesity together with overweight in 37%, smoking in 44%, history of moderate amount of alcohol intake in 35%, history of CVA/TIA in 13%, DM in 11%, CKD in 4%, CAD in 30%, COPD in 20% and congestive heart failure in 15% of the patients. Conclusion- Ranolazine is an effective option when used for rhythm control strategy in NVAF. HTN is the predominant predisposing risk factor.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Albert J Rogers ◽  
Paul J Wang ◽  
Nitish Badhwar

Introduction: Delta waves associated with atrioventricular accessory pathways (APs) may manifest with autonomic tone, heart rate, and rhythm changes. Rarely, drugs like sotalol can block AV nodal conduction, revealing latent WPW, one treatable cause of sudden death. Case report: A 38-year-old man was admitted for sotalol loading due to frequent typical atrial flutter and SVT and a desire to avoid catheter ablation. He had a history of cardiac arrest with adenosine and tachycardia-induced cardiomyopathy. After recovery, cardiac MRI showed a normal heart without scar. Admission 12-lead ECG ( Figure A ) revealed normal sinus rhythm without other abnormality. With administration of sotalol, the patient developed a wide complex rhythm ( Figure B ). Interpretation of the rhythm indicated presence of a latent AP and a repeat ECG ( Figure C ) confirmed manifest preexcitation. After consenting to electrophysiology study, the patient developed a short RP tachycardia ( Figure D ) which terminated with Valsalva. The patient underwent successful catheter ablation of the pathway located at the anterior floor of the coronary sinus body and the cavotricuspid isthmus. Discussion: The differential diagnosis for a wide complex rhythm in this setting includes rate-related aberrancy, idioventricular rhythm, phase 4 aberrancy, and preexcitation from an AP. Shortened and consistent PR intervals in the tracing lead to preexcitation as the only possible mechanism. APs that are capable of anterograde conduction but are not manifest in sinus rhythm are termed latent APs. Conditions that may cause this phenomenon include opposite autonomic effects on the AP and the AV node, increased atrial conduction time, or concealed retrograde conduction into the AP. Sotalol typically increases the retrograde effective refractory period of the AP but has variable anterograde effect. Sotalol has not previously been reported to reveal a latent AP but may have acted through one of the stated mechanisms.


CJEM ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 285-286
Author(s):  
Jeffrey J. Perry ◽  
Shannon M. Fernando

A 67-year-old male presents to the emergency department (ED) with a 10-minute history of right upper extremity and right facial weakness, which came on suddenly. His symptoms spontaneously remitted. He has never experienced symptoms like this before. He has a past medical history of coronary artery disease, type 2 diabetes mellitus, dyslipidemia, and is a lifelong smoker. The patient states that he now feels completely well and back to his baseline. On examination, the patient is afebrile. Blood pressure is 160/87, heart rate is 89 in sinus rhythm, and respiratory rate is 16. His oxygen saturation on room air is 94%. Glucose is 5.6 mmol/L. Cranial nerve and peripheral neurological examination are completely unremarkable. Reflexes, coordination, and gait are all within normal limits. Cardiac and respiratory examination are also unremarkable. His electrocardiogram shows normal sinus rhythm.


1993 ◽  
Vol 1 (4) ◽  
pp. 180-183
Author(s):  
Naresh Trehan ◽  
Zile Singh Meharwal ◽  
Vijay Kumar Sharma

A 13–year-old boy, who presented with a 4-year history of breathlessness and palpitation, was admitted with atrial fibrillation. Left atrial aneurysm was diagnosed with echocardiography and angiography. After excision of the aneurysm, the patient became asymptomatic and was in normal sinus rhythm.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Erika Weil ◽  
Peter Noseworthy ◽  
Alejandro Rabinstein ◽  
Paul Friedman ◽  
Camden Lopez ◽  
...  

Background: Atrial fibrillation (AF) is an established risk factor for ischemic stroke, but it can be paroxysmal and may go undiagnosed. An artificial intelligence (AI)-enabled ECG acquired during normal sinus rhythm was recently shown to detect silent AF. The objective of this study was to determine if AI-ECG AF score is associated with presence of cerebral infarcts. Methods: Participants from a population-based study ages 30 to 95 years with T2 fluid attenuation inversion recovery (FLAIR) MRI obtained between October 10, 2011, and November 2, 2017 were considered for inclusion. Participants without ECG were excluded. AI-ECG score was calculated using most recent ECG with normal sinus rhythm at the time of MRI. Presence of infarcts was determined on FLAIR MRI scans. Logistic regression was run to evaluate the relationship between AI-ECG AF score and presence of cerebral infarcts. Similar analyses were performed using history of AF rather than AI-ECG AF score as predictor. Age and sex were included as covariates. We also examined whether a high-threshold AI-ECG score was associated with infarcts. In a prior study, an AI-ECG AF score > 0.5 was associated with a cumulative incidence of AF of 21.5% at 2 years and 52.2% at 10 years. Results: This study included 1,373 individuals. Average age was 69.6 years and 53% of participants were male. There were 136 (10%) individuals with ECG-confirmed AF; 1237 (90%) participants had no AF history. Of participants with AF, 23% (n=31) were on anticoagulation, 47% (n=64) were on antiplatelet and 18% (n=24) were on dual therapy. Only 1.3% (n=16) of patients without AF were on anticoagulation and 47% (n=578) were on antiplatelet therapy. Ischemic infarcts were detected in 214 (15.6%) patients. As a continuous measure AI-ECG was associated with infarcts but not after adjusting for age and sex (p=0.46). AI-ECG AF score > 0.5 was associated with infarcts ( p < 0.001); even after adjusting for age and sex ( p = 0.03). History of AF was also associated with infarcts after adjusting for age and sex ( p = 0.018). Conclusion: AI-ECG AF score and history of AF were associated with presence of cerebral infarcts after adjusting for age and sex. This tool could be useful in select patients with cryptogenic stroke but further investigation would be required.


Author(s):  
Fatin Syahirah Ab Gani ◽  
Mohd Khairi Nordin ◽  
Ahmad Ihsan Mohd Yassin ◽  
Idnin Pasya Ibrahim ◽  
Megat Syahirul Amin Megat Ali

<span>Narrowing of coronary arteries caused by cholesterol deposits deprives heart tissues of oxygen. In prolonged conditions, these will result in myocardium infarction. The presence of damage tissues modifies the normal sinus rhythm and this can be detected using electrocardiogram (ECG). Hence, this paper characterized history of myocardial infarction from survivors using QRS power ratio features from the ECG. Subsequent profiling is performed using multilayered perceptron (MLP) and hybrid multilayered perceptron (HMLP) networks. ECG with history of anterior and inferior infarctions, along with healthy controls is obtained from PTB Diagnostic ECG Database. The signal is initially pre-processed and the power ratio features are extracted for low- and mid-frequency components. The features are then used as input vector to the MLP and HMLP networks. The optimized MLP has attained accuracies of 99.2% for training and 98.0% for testing. Meanwhile, the optimized HMLP managed to achieve accuracies of 99.4% for training and 97.8% for testing. Despite the similarities in network performance, MLP provides a better alternative due to the reduced computational requirements by as much as 30%.</span>


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