Effect of Ivabradine vs Atenolol on Heart Rate and Effort Tolerance in Patients With Mild to Moderate Mitral Stenosis and Normal Sinus Rhythm

2012 ◽  
Vol 18 (4) ◽  
pp. 282-288 ◽  
Author(s):  
Neeraj Parakh ◽  
Vivek Chaturvedi ◽  
Sumod Kurian ◽  
Sanjay Tyagi
Keyword(s):  
Heart Rate ◽  
Sinus Rhythm ◽  
Mitral Stenosis ◽  
Normal Sinus Rhythm ◽  
Normal Sinus

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 The change in NT-pro-BNP and post-PTMC echocardiography parameters in patients with mitral stenosis. A pilot study

2017 ◽  
Vol 55 (2) ◽  
pp. 75-81
Author(s):  
Morteza Safi ◽  
Fariba Bayat ◽  
Zahra Ahmadi ◽  
Masood Shekarchizadeh ◽  
Isa Khaheshi ◽  
...  
Keyword(s):  
Sinus Rhythm ◽  
Pressure Gradient ◽  
Mitral Stenosis ◽  
Normal Sinus Rhythm ◽  
Left Atrial Volume ◽  
Normal Sinus ◽  
Mean Pressure ◽  
Percutaneous Transvenous Mitral Commissurotomy ◽  
Pulmonary Arterial ◽  
The Mean

Abstract Background. The change in the level of NT-pro-BNP (N-terminal-pro-Brain Natriuretic Peptide) is now considered as a reflection of the hemodynamic alterations and its circulatory reductions reported early after successful PTMC (percutaneous transvenous mitral commissurotomy). The present study aims to assess the change in the level of NT-pro BNP following PTMC in patients with mitral stenosis and also to determine the association between circulatory NT-pro-BNP reduction and post-PTMC echocardiography parameters. Methods. Twenty five symptomatic consecutive patients with severe MS undergoing elective PTMC were prospectively enrolled. All patients underwent echocardiography before and also 24 to 48 hours after PTMC. Peripheral blood samples were taken for measurement of NT-pro-BNP before as well as 24 to 48 hours after PTMC. The patients were also classified in group with normal sinus rhythm or having atrial fibrillation (AF) based on their 12-lead electrocardiogram. Results. It was shown a significant decrease in the parameters of PPG (Peak Pressure Gradient), MPG (Mean Pressure Gradient), PHT (Pressure Half Time), PAP (Pulmonary Arterial Pressure), LAV (Left Atrial Volume), and also a significant increase in MVA (Mitral Valve Area) RVS (Right Ventricular S velocity), and strains of lateral, septal, inferior and anterior walls of LA following PTMC. The mean LVEF remained unchanged after PTMC. The mean NT-pro-BNP before PTMC was 309.20 ± 17.97 pg/lit that significantly diminished after PTMC to 235.72 ± 22.46 pg/lit (p = 0.009). Among all echocardiography parameters, only MPG was positively associated with the change in NT-pro-BNP after PTMC. Comparing the change in echocardiography indices between the patients with normal rhythm and those with AF, lower change in PAP was shown in the group with AF. However, more change in the level of NT-pro-BNP after PTMC was shown in the patients with AF compared to those without this arrhythmia. Conclusion. PTMC procedure leads to reduce the level of NT-pro-BNP. The change in NT-pro-BNP is an indicator for change in MS severity indicated by decreasing MPG parameter. Lower change in PAP as well as higher change in NT-pro-BNP is predicted following PTMC in the group with AF compared to those with normal sinus rhythm.

scholarly journals Impact of heart rate variability in patients with normal sinus rhythm on image quality in coronary magnetic angiography

2008 ◽  
Vol 28 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Tarinee Tangcharoen ◽  
Cosima Jahnke ◽  
Uwe Koehler ◽  
Bernhard Schnackenburg ◽  
Christoph Klein ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Image Quality ◽  
Sinus Rhythm ◽  
Normal Sinus Rhythm ◽  
Normal Sinus

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

Atrial contribution to ventricular filling in mitral stenosis and normal sinus rhythm

1993 ◽  
Vol 1 (1) ◽  
pp. 63
Author(s):  
Jae Phil Kim ◽  
Yang Soo Kim ◽  
Heung Sun Kang ◽  
Chung Whee Choue ◽  
Kwon Sam Kim ◽  
...  
Keyword(s):  
Sinus Rhythm ◽  
Mitral Stenosis ◽  
Normal Sinus Rhythm ◽  
Normal Sinus ◽  
Ventricular Filling ◽  
Atrial Contribution

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

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