Significant Reduction in All-cause Mortality with Ivabradine in Chronic Heart Failure Patients with Baseline Heart Rate ≥77bpm: Subgroup Analysis of SHIFT

2013 ◽  
Vol 22 ◽  
pp. S87-S88 ◽  
Author(s):  
H. Krum ◽  
A. Sindone
2014 ◽  
Vol 16 (8) ◽  
pp. 907-914 ◽  
Author(s):  
Hans-Dirk Düngen ◽  
Lindy Musial-Bright ◽  
Simone Inkrot ◽  
Svetlana Apostolović ◽  
Frank Edelmann ◽  
...  

2013 ◽  
Vol 61 (10) ◽  
pp. E735
Author(s):  
Savina Nodari ◽  
Marco Triggiani ◽  
Laura Lupi ◽  
Alessandra Manerba ◽  
Giuseppe Milesi ◽  
...  

2020 ◽  
Vol 54 (5) ◽  
pp. 294-299 ◽  
Author(s):  
Rasmus Stilling Tougaard ◽  
Anders Jorsal ◽  
Lise Tarnow ◽  
Nils Henrik Hansson ◽  
Caroline Kistorp ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ping Cao ◽  
Bailu Ye ◽  
Linghui Yang ◽  
Fei Lu ◽  
Luping Fang ◽  
...  

Objective. The deceleration capacity (DC) and acceleration capacity (AC) of heart rate, which are recently proposed variants to the heart rate variability, are calculated from unevenly sampled RR interval signals using phase-rectified signal averaging. Although uneven sampling of these signals compromises heart rate variability analyses, its effect on DC and AC analyses remains to be addressed. Approach. We assess preprocessing (i.e., interpolation and resampling) of RR interval signals on the diagnostic effect of DC and AC from simulation and clinical data. The simulation analysis synthesizes unevenly sampled RR interval signals with known frequency components to evaluate the preprocessing performance for frequency extraction. The clinical analysis compares the conventional DC and AC calculation with the calculation using preprocessed RR interval signals on 24-hour data acquired from normal subjects and chronic heart failure patients. Main Results. The assessment of frequency components in the RR intervals using wavelet analysis becomes more robust with preprocessing. Moreover, preprocessing improves the diagnostic ability based on DC and AC for chronic heart failure patients, with area under the receiver operating characteristic curve increasing from 0.920 to 0.942 for DC and from 0.818 to 0.923 for AC. Significance. Both the simulation and clinical analyses demonstrate that interpolation and resampling of unevenly sampled RR interval signals improve the performance of DC and AC, enabling the discrimination of CHF patients from healthy controls.


2007 ◽  
Vol 18 (4) ◽  
pp. 425-433 ◽  
Author(s):  
ROBERTO MAESTRI ◽  
GIAN DOMENICO PINNA ◽  
AGOSTINO ACCARDO ◽  
PAOLO ALLEGRINI ◽  
RITA BALOCCHI ◽  
...  

Author(s):  
Fawad Farooq ◽  
Nida Imran ◽  
Mahwish Abbas

Abstract Objective: To determine the effect of Ivabradine in lowering heart rate and quality of life in chronic heart failure patients. Methods: The observational study was conducted in the out-patient department of the National Institute of Cardiovascular Disease, Karachi, from December 2016 to June 2017, and comprised chronic heart failure patients aged 30-70 years who were on 5mg Ivabradine for 8-weeks. Heart rate was evaluated through electrocardiogram, and health-related quality of life was measured using the validated questionnaire. Baseline demographics and clinical characteristics were recorded, with follow-ups at week-4 and week-8. Safety and tolerability were assessed by adverse drug reactions monitoring. Data was analysed using SPSS 21. Results: Of the 50 patients, 34(68%) were males. The overall mean age was 54.8±9.17 years. Baseline mean heart rate significantly reduced at first and second follow-up visit (p< 0.001). Mobility problems declined significantly as well (p<0.05). Health-related quality of life significantly improved on follow-up visits (p<0.001). Conclusion: There was significant control of heart rate in chronic heart failure patients with improvement in all parameters of quality of life. Key Words: Heart failure, Ivabradine, Heart rate, Continuous...


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