Prognostic value of the heart rate profile during exercise in patients with atrial fibrillation

2018 ◽  
Vol 25 (15) ◽  
pp. 1634-1641 ◽  
Author(s):  
Kazufumi Aihara ◽  
Yuko Kato ◽  
Shinya Suzuki ◽  
Takuto Arita ◽  
Naoharu Yagi ◽  
...  

Aims This study aimed to investigate the correlation of heart rate profile during exercise with exercise capacity and heart failure occurrence in patients with atrial fibrillation compared with patients with sinus rhythm. Methods We analyzed 2231 patients (atrial fibrillation: n = 321, sinus rhythm: n = 1910) who underwent a symptom-limited maximal cardiopulmonary exercise test at our institute. Their heart rate profile during exercise was assessed using peak heart rate and chronotropic response; (peak heart rate−resting heart rate)/(220−age−resting heart rate). The endpoint was the occurrence of heart failure events, defined as hospitalization for heart failure or heart failure-related death. Results There were significant positive correlations of peak heart rate and chronotropic response to peak oxygen consumption, both in atrial fibrillation and sinus rhythm. During a median follow-up period of 1262 (interquartile range 974–2921) days, 117 (5.2%) heart failure events were observed. Multivariate analyses showed that peak heart rate and chronotropic response were statistically significant predictors of heart failure events both in atrial fibrillation (peak heart rate: heart rate 0.975, p = 0.002, chronotropic response: heart rate 0.196, p = 0.003) and in sinus rhythm (peak heart rate: heart rate 0.988, p = 0.036, chronotropic response: heart rate 0.347, p = 0.020). Bivariate models showed that compared with chronotropic response, peak heart rate was a stronger predictor of heart failure in atrial fibrillation, whereas the finding was reversed in sinus rhythm. Conclusion The exercise- heart rate profile was significantly related to exercise capacity and future heart failure events, regardless of rhythm. However, the impacts of peak heart rate and chronotropic response on the endpoint varied according to the cardiac rhythm.

Author(s):  
Rita Ilhão Moreira ◽  
Tiago Pereira da Silva ◽  
António Valentim Gonçalves ◽  
Joana Feliciano ◽  
Pedro Rio ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
R Vidal-Perez ◽  
R Agra-Bermejo ◽  
D Pascual-Figal ◽  
F Gude Sampedro ◽  
C Abou Jokh ◽  
...  

Abstract Background The prognostic impact of heart rate (HR) in acute heart failure (AHF) patients is not well known especially in atrial fibrillation (AF) patients. Purpose The aim of the study was to evaluate the impact of admission HR, discharge HR, HR difference (HRD) (admission- discharge) in AHF patients with sinus rhythm (SR) or AF on long- term outcomes. Methods We included 1398 patients consecutively admitted with AHF between October 2013 and December 2014 from a national multicentric, prospective registry. Logistic regression models were used to estimate the association between admission HR, discharge HR and HR difference and one- year all-cause mortality and HF readmission. Results The mean age of the study population was 72±12 years. Of these, 594 (42.4%) were female, 655 (77.8%) were hypertensive and 655 (46.8%) had diabetes. Among all included patients, 745 (53.2%) had sinus rhythm and 653 (46.7%) had atrial fibrillation. Only discharge HR was associated with one-year all-cause mortality (Relative risk (RR)= 1.182, confidence interval (CI) 95% 1.024–1.366, p=0.022) in SR. In AF patients discharge HR was associated with one-year all-cause mortality (RR= 1.276, CI 95% 1.115–1.459, p≤0.001). We did not observe a prognostic effect of admission HR or HRD on long-term outcomes in both groups. This relationship is not dependent on left ventricular ejection fraction (Figure 1) Effect of post-discharge heart rate Conclusions In AHF patients lower discharge HR, neither the admission nor the difference, is associated with better long-term outcomes especially in AF patients Acknowledgement/Funding Heart Failure Program of the Red de Investigaciόn Cardiovascular del Instituto de Salud Carlos III, Madrid, Spain (RD12/0042) and the Fondo Europeo de


2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P1534-P1534
Author(s):  
M. De Antonio ◽  
J. Lupon ◽  
M. Domingo ◽  
E. Zamora ◽  
B. Gonzalez ◽  
...  

Author(s):  
Syed Hassan Zaidi ◽  
Imran Akhtar ◽  
Syed Imran Majeed ◽  
Tahir Zaidi ◽  
Muhammad Saif Ullah Khalid

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.


2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P642-P642
Author(s):  
M. De Antonio ◽  
J. Lupon ◽  
M. Domingo ◽  
R. Cabanes ◽  
B. Gonzalez ◽  
...  

2016 ◽  
Vol 23 (13) ◽  
pp. 1429-1436 ◽  
Author(s):  
Yuko Kato ◽  
Shinya Suzuki ◽  
Tokuhisa Uejima ◽  
Hiroaki Semba ◽  
Osamu Nagayama ◽  
...  

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