scholarly journals Heart rate dependency of premature ventricular contractions: Correlation between electrocardiographic monitoring and exercise-related patterns

1997 ◽  
Vol 18 (10) ◽  
pp. 1642-1648 ◽  
Author(s):  
M. V. Pitzalis ◽  
F. Mastropasqua ◽  
F. Massari ◽  
A. Passantino ◽  
P. Totaro ◽  
...  
2001 ◽  
Vol 42 (6) ◽  
pp. 701-711 ◽  
Author(s):  
Tetsunori Saikawa ◽  
Hiroko Niwa ◽  
Morio Ito ◽  
Shuji Ishida ◽  
Mikiko Nakagawa ◽  
...  

2021 ◽  
Vol 49 (10) ◽  
pp. 030006052110501
Author(s):  
Fuxu Chen ◽  
Chao Feng ◽  
Jie Song ◽  
Shudong Xia

Syncope associated with bradycardia and ventricular arrhythmia is an indication of cardiac intervention. However, in adolescent patients with anorexia nervosa, the management of syncope and arrhythmia can be different. We present a case of a 17-year-old boy who was admitted to the hospital because of syncope during exercise. Electrocardiographic monitoring showed that his mean heart rate was 41 beats/minute, with many long pauses and frequent premature ventricular contractions. These results suggested that the syncope was probably caused by arrythmia. He had been on a diet and had lost 20 kg in the past 6 months, with a body mass index of only 15.3 kg/m2. He was diagnosed with anorexia nervosa. Pacemaker implantation or ablation was not performed. Refeeding therapy was performed with mirtazapine. A follow-up showed a stepwise increase in his heart rate and a stepwise decrease in premature ventricular contractions, with an increase in his body weight. The findings from this case show that vagal hyperactivity associated with anorexia nervosa might lead to multiple premature ventricular contractions and bradycardia.


1997 ◽  
Vol 133 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Maria Vittoria Pitzalis ◽  
Filippo Mastropasqua ◽  
Francesco Massari ◽  
Andrea Passantino ◽  
Cinzia Forleo ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Irena Andršová ◽  
Katerina Hnatkova ◽  
Martina Šišáková ◽  
Ondřej Toman ◽  
Peter Smetana ◽  
...  

The electrocardiographic (ECG) assessment of the T peak–T end (Tpe) intervals has been used in many clinical studies, but several related physiological aspects have not been reported. Specifically, the sources of the Tpe differences between different ECG leads have not been systematically researched, the relationship of Tpe duration to underlying heart rate has not been firmly established, and little is known about the mutual correspondence of Tpe intervals measured in different ECG leads. This study evaluated 796,620 10-s 12-lead ECGs obtained from long-term Holters recorded in 639 healthy subjects (311 female) aged 33.8 ± 9.4 years. For each ECG, transformation to orthogonal XYZ lead was used to measure Tpe in the orthogonal vector magnitude (used as a reference for lead-to-lead comparisons) and to construct a three-dimensional T wave loop. The loop roundness was expressed by a ratio between its circumference and length. These ratios were significantly related to the standard deviation of Tpe durations in different ECG leads. At the underlying heart rate of 60 beats per minute, Tpe intervals were shorter in female than in male individuals (82.5 ± 5.6 vs 90.0 ± 6.5 ms, p < 0.0001). When studying linear slopes between Tpe intervals measured in different leads and the underlying heart rate, we found only minimal heart rate dependency, which was not systematic across the ECG leads and/or across the population. For any ECG lead, positive Tpe/RR slope was found in some subjects (e.g., 79 and 25% of subjects for V2 and V4 measurements, respectively) and a negative Tpe/RR slope in other subjects (e.g., 40 and 65% for V6 and V5, respectively). The steepest positive and negative Tpe/RR slopes were found for measurements in lead V2 and V4, respectively. In all leads, the Tpe/RR slope values were close to zero, indicating, on average, Tpe changes well below 2 ms for RR interval changes of 100 ms. On average, longest Tpe intervals were measured in lead V2, the shortest in lead III. The study concludes that the Tpe intervals measured in different leads cannot be combined. Irrespective of the measured ECG lead, the Tpe interval is not systematically heart rate dependent, and no heart rate correction should be used in clinical Tpe investigations.


2016 ◽  
Vol 121 (3) ◽  
pp. 771-780 ◽  
Author(s):  
Isabella Tan ◽  
Hosen Kiat ◽  
Edward Barin ◽  
Mark Butlin ◽  
Alberto P. Avolio

Studies investigating the relationship between heart rate (HR) and arterial stiffness or wave reflections have commonly induced HR changes through in situ cardiac pacing. Although pacing produces consistent HR changes, hemodynamics can be different with different pacing modalities. Whether the differences affect the HR relationship with arterial stiffness or wave reflections is unknown. In the present study, 48 subjects [mean age, 78 ± 10 (SD), 9 women] with in situ cardiac pacemakers were paced at 60, 70, 80, 90, and 100 beats per min under atrial, atrioventricular, or ventricular pacing. At each paced HR, brachial cuff-based pulse wave analysis was used to determine central hemodynamic parameters, including ejection duration (ED) and augmentation index (AIx). Wave separation analysis was used to determine wave reflection magnitude (RM) and reflection index (RI). Arterial stiffness was assessed by carotid-femoral pulse wave velocity (cfPWV). Pacing modality was found to have significant effects on the HR relationship with ED ( P = 0.01), central aortic pulse pressure ( P = 0.01), augmentation pressure ( P < 0.0001), and magnitudes of both forward and reflected waves ( P = 0.05 and P = 0.003, respectively), but not cfPWV ( P = 0.57) or AIx ( P = 0.38). However, at a fixed HR, significant differences in pulse pressure amplification ( P < 0.001), AIx ( P < 0.0001), RM ( P = 0.03), and RI ( P = 0.03) were observed with different pacing modalities. These results demonstrate that although the HR relationships with arterial stiffness and systolic loading as measured by cfPWV and AIx were unaffected by pacing modality, it should still be taken into account for studies in which mixed pacing modalities are present, in particular, for wave reflection studies.


2016 ◽  
Vol 34 ◽  
pp. e57 ◽  
Author(s):  
I. Tan ◽  
B. Spronck ◽  
T. Delhaas ◽  
K. Reesink ◽  
H. Kiat ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3867
Author(s):  
Felke Steijns ◽  
Máté I. Tóth ◽  
Anthony Demolder ◽  
Lars E. Larsen ◽  
Jana Desloovere ◽  
...  

Ambulatory electrocardiography (AECG) is a primary diagnostic tool in patients with potential arrhythmic disorders. To study the pathophysiological mechanisms of arrhythmic disorders, mouse models are widely implemented. The use of a technique similar to AECG for mice is thus of great relevance. We have optimized a protocol which allows qualitative, long-term ECG data recording in conscious, freely moving mice. Automated algorithms were developed to efficiently process the large amount of data and calculate the average heart rate (HR), the mean peak-to-peak interval and heart rate variability (HRV) based on peak detection. Ectopic beats are automatically detected based on aberrant peak intervals. As we have incorporated a multiple lead configuration in our ECG set-up, the nature and origin of the suggested ectopic beats can be analyzed in detail. The protocol and analysis tools presented here are promising tools for studies which require detailed, long-term ECG characterization in mouse models with potential arrhythmic disorders.


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