scholarly journals Tachycardia-polyuria syndrome after swan-ganz catheterization in liver transplant patient - A case report -

2021 ◽  
Author(s):  
Sang-Kwon Heo ◽  
Kyoung-Sun Kim ◽  
Jeong-Hyun Lee ◽  
Jun-Gol Song
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Living Donor Liver Transplantation ◽  
Transplant Patient ◽  
Normal Sinus Rhythm ◽  
Liver Transplant Patient ◽  
Donor Liver ◽  
Donor Liver Transplantation ◽  
Normal Sinus ◽  
Anhepatic Phase

Background: Tachycardia-polyuria syndrome is characterized by polyuria occurring because of tachycardia with a heart rate of ≥ 120 beats/min lasting ≥ 30 min. We report such a case occurring after swan-ganz catheterization.Case: A 41-year-old male was scheduled for living-donor liver transplantation. After general anesthesia, atrial fibrillation occurred during swan-ganz catheterization, and polyuria developed 1 h later. During the anhepatic phase, the patient’s heart rate increased further, and cardioversion was performed. After a normal sinus rhythm was achieved, the patient’s urine output returned to normal.Conclusions: The patient’s polyuria seemed related to the iatrogenic atrial fibrillation occurring during swan-ganz catheterization. Although we did not measure atrial natriuretic peptide, an increase in its concentration may have been the main mechanism of polyuria, as natriuresis was observed.

Nonlinear Characterization of Heart Rate Variability in Normal Sinus Rhythm, Atrial Fibrillation and Congestive Heart Failure

2016 ◽  
Author(s):  
Syed Hassan Zaidi ◽  
Imran Akhtar ◽  
Syed Imran Majeed ◽  
Tahir Zaidi ◽  
Muhammad Saif Ullah Khalid
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Heart Rate Variability ◽  
Sinus Rhythm ◽  
Time Series Data ◽  
Normal Sinus Rhythm ◽  
Series Data ◽  
Normal Sinus

This paper highlights the application of methods and techniques from nonlinear analysis to illustrate their far superior capability in revealing complex cardiac dynamics under various physiological and pathological states. The purpose is to augment conventional (time and frequency based) heart rate variability analysis, and to extract significant prognostic and clinically relevant information for risk stratification and improved diagnosis. In this work, several nonlinear indices are estimated for RR intervals based time series data acquired for Healthy Sinus Rhythm (HSR) and Congestive Heart Failure (CHF), as the two groups represent different cases of Normal Sinus Rhythm (NSR). In addition to this, nonlinear algorithms are also applied to investigate the internal dynamics of Atrial Fibrillation (AFib). Application of nonlinear tools in normal and diseased cardiovascular states manifest their strong ability to support clinical decision support systems and highlights the internal complex properties of physiological time series data such as complexity, irregularity, determinism and recurrence trends in cardiovascular regulation mechanisms.

scholarly journals Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy

2015 ◽  
Vol 36 (9) ◽  
pp. 1873-1888 ◽  
Author(s):  
Marta Carrara ◽  
Luca Carozzi ◽  
Travis J Moss ◽  
Marco de Pasquale ◽  
Sergio Cerutti ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Sinus Rhythm ◽  
Normal Sinus Rhythm ◽  
Normal Sinus ◽  
Heart Rate Dynamics

scholarly journals Distinguishing atrial fibrillation from sinus rhythm using commercial pulse detection systems: The non-interventional BAYathlon study

2021 ◽  
Vol 7 ◽  
pp. 205520762110196
Author(s):  
Christian Müller ◽  
Ulf Hengstmann ◽  
Michael Fuchs ◽  
Martin Kirchner ◽  
Frank Kleinjung ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Sinus Rhythm ◽  
Normal Sinus Rhythm ◽  
Interval Data ◽  
The Other ◽  
Pulse Detection ◽  
Detection Systems ◽  
Normal Sinus ◽  
Single Centre Study

Objective Early diagnosis of atrial fibrillation (AFib) is a priority for stroke prevention. We sought to test four commercial pulse detection systems (CPDSs) for ability to distinguish AFib from normal sinus rhythm using a published algorithm (Zhou et al., PLoS One 2015;10:e0136544), compared with visual diagnosis by electrocardiogram inspection. Methods BAYathlon was a prospective, non-interventional, single-centre study. Adult cardiology patients with documented AFib or sinus rhythm who were due to have a routine 5-min electrocardiogram were randomized to undergo a parallel 5-min pulse assessment with a Polar V800, eMotion Faros 360, TomTom heart rate monitor, or Adidas miCoach Smart Run. Results 144 patients (73 with AFib, 71 with sinus rhythm (based on electrocardiograms); median age: 73 years; 53.5% male) were analysed. Algorithm sensitivities (primary endpoint) and specificities for AFib when applied to CPDS recordings were 93.3% and 94.1% with the Polar V800, 90.0% and 84.2% with the eMotion Faros 360, and 0% and 100% with the other CPDSs (analysis period: 127 heart rate signals + 2 min). When applied to routine electrocardiograms, the algorithm correctly detected AFib in 71/73 patients. Different analysis periods (127 heart rate signals +1 or 3 min) only slightly changed the sensitivities with the Polar V800 and eMotion Faros 360 and had no effect on the sensitivities with the other CPDSs. Conclusion AFib screening using the applied algorithm is feasible with the Polar V800 and eMotion Faros 360 (which provide RR interval data) but not with the other CPDSs (which provide pre-processed heart rate time series). ClinicalTrials.gov identifier: NCT02875106

scholarly journals Comparative Analysis of Heart Rate Variability Parameters for Arrhythmia and Atrial Fibrillation using ANOVA

2018 ◽  
Vol 11 (4) ◽  
pp. 1841-1849 ◽  
Author(s):  
Kirti Kirti ◽  
Harsh Sohal ◽  
Shruti Jain
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Normal Sinus Rhythm ◽  
Health Conditions ◽  
Statistical Comparison ◽  
Cardiac Health ◽  
Normal Sinus ◽  
Gender And Health ◽  
Anova Technique

Heart Rate Variability (HRV) is an important criterion to check the cardiac health. Sudden HRV signifies the unhealthy condition of the heart, particularly when the person is suffering from a cardiac disease. HRV parameters on different patients of different ages, gender and health conditions are observed using time domain, geometrical domain and frequency domain. Statistical comparison is done on three different databases MIT/BIH Normal Sinus Rhythm (NSR), MIT/BIH Arrhythmia (AR) and MIT/BIH Atrial Fibrillation (AF) using Analysis of Variance (ANOVA) technique. We have extracted twenty HRV features from all the three domains, which show weak, moderate or strong significant changes as per the relation during comparison with respective databases. Out of twenty only nine features are selected which shows noticeable difference between three databases. Later, the selected features will be used for classification in future.

scholarly journals Comparison of two oscillometric blood pressure monitors in subjects with atrial fibrillation

2010 ◽  
Vol 33 (1) ◽  
pp. 54 ◽  
Author(s):  
Tyler S Lamb ◽  
Amar Thakrar ◽  
Mahua Ghosh ◽  
Merne P Wilson ◽  
Thomas W Wilson
Keyword(s):  
Atrial Fibrillation ◽  
Blood Pressure ◽  
Health Care ◽  
Heart Rate ◽  
Health Care Professionals ◽  
Gold Standard ◽  
Normal Sinus Rhythm ◽  
Normal Sinus ◽  
Therapeutic Decisions ◽  
Blood Pressure Monitors

Objective: To compare blood pressure readings obtained with two commonly used oscillometric monitors: Omron HEM 711 AC (OM) and Welch-Allyn 52000 series NIBP/oximeter (WA) with mercury sphygmomanometers (Merc) in subjects with atrial fibrillation. Methods: We recruited 51 hemodynamically stable subjects with atrial fibrillation. Fifty four subjects in normal sinus rhythm served as controls. Supine blood pressure readings in each arm were recorded simultaneously using one monitor and Merc. The second monitor then replaced the first and readings were repeated. Merc was then switched to the opposite arm, and both monitors retested. Apical heart rates were ascertained with a stethoscope. We used the averaged, same arm Merc readings as “gold standard”. Results: Automated blood pressure readings were obtained in all control subjects and in all but three of those with atrial fibrillation. Both monitors, and operators, noted a difference between apical and radial/brachial pulse rates: apical-recorded: Merc 6.1±15.0; OM 5.5±13.7; WA 10.0±21.2 beats per minute. Both monitors were accurate in controls: over 90% of readings were within 10 mmHg of averaged Merc, and both achieved European Hypertension Society standards. In subjects with atrial fibrillation, about one quarter of all oscillometric readings differed from Merc by more than 10 mmHg. Both falsely high and falsely low readings occurred, some up to 30 mmHg. There was no relation between accuracy and heart rate. Conclusions: Single blood pressure readings, taken with oscillometric monitors in subjects with atrial fibrillation differ, often markedly, from those taken manually. Health care professionals should record multiple readings manually, using validated instruments when making therapeutic decisions.

scholarly journals Correlation of heart rate recovery and heart rate variability with atrial fibrillation progression

2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110578
Author(s):  
Gwang-Seok Yoon ◽  
Seong-Huan Choi ◽  
Sung Woo Kwon ◽  
Sang-Don Park ◽  
Sung-Hee Shin ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Autonomic Function ◽  
Normal Sinus Rhythm ◽  
Heart Rate Recovery ◽  
Normal Sinus ◽  
Metabolic Equivalents ◽  
Younger Age ◽  
Treadmill Exercise Testing

Objective To examine the combination of heart rate recovery (HRR) and heart rate variability (HRV) in predicting atrial fibrillation (AF) progression. Methods Data from patients with a first detected episode of AF who underwent treadmill exercise testing and 24-h Holter electrocardiography were retrospectively analysed. Autonomic dysfunction was verified using HRR values. Sympathetic and parasympathetic modulation was analysed by HRV. AF progression was defined as transition from the first detected paroxysmal episode to persistent/permanent AF. Results Of 306 patients, mean LF/HF ratio and HRR did not differ significantly by AF progression regardless of age (< or ≥65 years). However, when the LF/HF ratio was divided into tertiles, in patients aged <65 years, the mid LF/HF (1.60–2.40) ratio was significantly associated with lower AF progression rates and longer maintenance of normal sinus rhythm. For patients aged <65 years, less metabolic equivalents were related to higher AF progression rates. For patients aged ≥65 years, a low HRR was associated with high AF progression rates. Conclusion In relatively younger age, high physical capacity and balanced autonomic nervous system regulation are important predictors of AF progression. Evaluation of autonomic function assessed by age could predict AF progression.

Abstract 16213: Short QT Syndrome Case Study

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Lawrenshey Charles ◽  
Abdullah Al-Abcha ◽  
Tyler Kemnic ◽  
Zulfiqar Qutrio Baloch
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Sudden Cardiac Death ◽  
Sinus Rhythm ◽  
Cardiac Death ◽  
Normal Sinus Rhythm ◽  
Short Qt Syndrome ◽  
Icd Implantation ◽  
Normal Sinus ◽  
Qt Syndrome

Introduction: Short QT syndrome (SQTS) is a very rare genetic disease of the electrical system of the heart which is associated with an increase risk of abnormal cardiac rhythms and sudden cardiac death. First described in 2000 with the first genetic mutation associated with SQTS described in 2004. We present a case of Short QT syndrome in a 53 year old male. Case: A 53 year old male with a PMH of HTN, alcohol abuse, and tobacco dependence presented to the ED with palpitations. Patient endorsed that he was in his usual state of health the day prior to arrival. He went to bed after drinking alcohol and woke up suddenly pale and diaphoretic with dyspnea and a persistent feeling of impending doom. On arrival to the ED, he was tachypneic (26 breaths/min) with a heart rate of 163 bpm and a blood pressure of 100/80 mmHg. EKG showed atrial fibrillation with RVR. The patient converted to normal sinus rhythm after one dose of IV Cardizem 10 mg was administered for rate control. The next day he had multiple episodes of Torsades de Pointe and monomorphic ventricular tachycardia treated with synchronized cardioversion, 2g of magnesium, IV amiodarone and lidocaine drip. He was transferred to the ICU for further evaluation and monitoring. Repeat EKG showed normal sinus rhythm at 75 bpm and short QT (QT= 328). TTE showed normal biventricular size and function (LVEF 60-65%) with no valvular abnormalities. Dual chamber Implantable Cardioverter Defibrillator (ICD) was placed and outpatient genetic testing was scheduled. Discussion: SQTS is very rare with roughly 70 cases identified worldwide since the condition was discovered in 2000. It is a congenital channelopathy related to potassium channels and represented by a normal heart rate with accelerated cardiac repolarization. Normal QT range is 350-440 msec while SQTS range is 210-340 msec. Mutations in the KCNH2, KCNJ2, or KCNQ1 genes lead to enhanced flow of potassium ions across the membrane of cardiac muscle cells. Patients can present at any age with palpitations, syncope, atrial fibrillation, and sudden cardiac death. The cornerstone to diagnosing SQTS is an electrocardiogram. Patients with SQTS can be managed with ICD implantation, quinidine (especially with KCNH2 mutation), and sotalol (with other mutations other than KCNH2).

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