Correlation dimension analysis of heart rate variability in patients with dilated cardiomyopathy

2005 ◽  
Vol 78 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Raúl Carvajal ◽  
Niels Wessel ◽  
Montserrat Vallverdú ◽  
Pere Caminal ◽  
Andreas Voss
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dilated Cardiomyopathy ◽  
Correlation Dimension ◽  
Dimension Analysis

P991Predicting arrhythmic risk in dilated cardiomyopathy: a systematic review & meta-analysis of clinical parameters

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Sammani ◽  
E Kayvanpour ◽  
L P Bosman ◽  
F Sedaghat-Hamedani ◽  
T Proctor ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Risk ◽  
Dilated Cardiomyopathy ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Gadolinium Enhancement ◽  
T Wave ◽  
History Of ◽  
T Wave Alternans

Abstract Background Patients with non-ischemic dilated cardiomyopathy (NIDCM) are at increased risk of ventricular arrhythmias and sudden cardiac death (SCD). However, identifying patients at high risk for life-threatening ventricular arrhythmia (LTVA) who may benefit from an implantable cardioverter defibrillator (ICD) remains challenging. Methods We searched MEDLINE and EMBASE for prognostic studies describing predictors of LTVA (defined as sustained ventricular tachycardia (VT), haemodynamically unstable VT, ventricular fibrillation, (aborted) SCD or appropriate ICD intervention) in patients with NIDCM. We excluded articles with composite heart failure and arrhythmic endpoints but lacking (subgroup) analysis for LTVA. Study quality and risk of bias was assessed using the QUIPS-tool, and articles with high risk of bias in ≥2 areas were excluded from analysis. Univariable hazard ratios of reported predictors were pooled from the remaining studies in a meta-analysis using a random-effects model and presented with 95% confidence interval (CI). Results Out of 1996 unique citations, 51 studies were included comprising 9798 patients with 1493 arrhythmic events. 28 studies were pooled for meta-analysis (mean age 55±4.1 years, 72% male) with a mean follow-up of 3.7±1.9 years. Crude event rate was 4.3% (95% CI 4.02–4.57) per year. From our meta-analysis, hypertension (HR 1.95; CI [1.26–3.00]), history of out of hospital cardiac arrest or sustained VT (HR 4.15; CI [1.32–13.02]), T-wave alternans (HR 6.50; CI [2.46–17.14]), LVEDV per 10ml/m2 increase (HR 1.10; CI [1.10–1.10]), LVESV per 10ml/m2 increase (HR 1.10; CI [1.00–1.22]) and delayed gadolinium enhancement (HR 5.55; CI [4.02–7.67]) were significantly associated with LTVA (figure). The quality of evidence was moderate and there was significant heterogeneity (median i2 57%; IQR 76%) among studies. Additionally from data that could not be pooled, decreased LVEF, history of nsVT and decreased heart rate variability were significantly associated with LTVA. Summary of meta-analysis results Conclusion The risk of LTVA in NIDCM is 4.3% per year and is considerably higher in patients with hypertension, history of LTVA, decreased LVEF, high LVEDV, high LVESV, T-wave alternans, history of nsVT, decreased heart rate variability and delayed gadolinium enhancement. These results may help determine appropriate candidates for ICD implantation. The high heterogeneity in reported results indicate the need for future multicentre studies to further improve risk stratification in NIDCM. Acknowledgement/Funding ERA-CVD JTC2016: DETECTIN-HF, 680969 & Dutch Heart Foundation (2016T096)

Segmented Poincaré Plot Analysis for Risk Stratification in Patients with Dilated Cardiomyopathy

2010 ◽  
Vol 49 (05) ◽  
pp. 511-515 ◽  
Author(s):  
C. Fischer ◽  
R. Schroeder ◽  
H. R. Figulla ◽  
M. Goernig ◽  
A. Voss
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Risk Stratification ◽  
Dilated Cardiomyopathy ◽  
Heart Rate Variability Analysis ◽  
Poincaré Plot ◽  
Plot Analysis ◽  
Interval Time Series ◽  
Nonlinear Features ◽  
Cloud Of Points

Summary Background: The prognostic value of heart rate variability in patients with dilated cardiomyopathy (DCM) is limited and does not contribute to risk stratification although the dynamics of ventricular repolarization differs considerably between DCM patients and healthy subjects. Neither linear nor nonlinear methods of heart rate variability analysis could discriminate between patients at high and low risk for sudden cardiac death. Objective: The aim of this study was to analyze the suitability of the new developed segmented Poincaré plot analysis (SPPA) to enhance risk stratification in DCM. Methods: In contrast to the usual applied Poincaré plot analysis the SPPA retains nonlinear features from investigated beat-to-beat interval time series. Main features of SPPA are the rotation of cloud of points and their succeeded variability depended segmentation. Results: Significant row and column probabilities were calculated from the segments and led to discrimination (up to p < 0.005) between low and high risk in DCM patients. Conclusion: For the first time an index from Poincaré plot analysis of heart rate variability was able to contribute to risk stratification in patients suffering from DCM.

Baroreflex Sensitivity and Heart Rate Variability in Coronary Disease Compared to Dilated Cardiomyopathy

1998 ◽  
Vol 21 (11) ◽  
pp. 2416-2419 ◽  
Author(s):  
VOLKER MENZ ◽  
WOLFRAM GRIMM ◽  
JUIRGEN HOFFMANN ◽  
STEPHAN BORN ◽  
CHRISTINA SCHMIDT ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dilated Cardiomyopathy ◽  
Coronary Disease ◽  
Baroreflex Sensitivity

scholarly journals Heart rate variability in idiopathic dilated cardiomyopathy: relation to disease severity and prognosis.

Heart ◽  
1997 ◽  
Vol 77 (2) ◽  
pp. 108-114 ◽  
Author(s):  
G. Yi ◽  
J. H. Goldman ◽  
P. J. Keeling ◽  
M. Reardon ◽  
W. J. McKenna ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dilated Cardiomyopathy ◽  
Disease Severity ◽  
Idiopathic Dilated Cardiomyopathy
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