Reproducibility of Heart Rate Variability Indices in Children with Cystic Fibrosis

Fundamental to the potential utilisation of heart rate variability (HRV) indices as a prognostic tool is the reproducibility of these measures. The purpose of the present study was therefore to investigate the reproducibility of 24-hour derived HRV indices in a clinical paediatric population. Eighteen children (10 boys; 12.4 ± 2.8 years) with mild to moderate Cystic Fibrosis (CF; FVC: 83 ± 12% predicted; FEV1: 80 ± 9% predicted) and eighteen age- and sex-matched controls (10 boys; 12.5 ± 2.7 years) wore a combined ECG and accelerometer for two consecutive days. Standard time and frequency domain indices of HRV were subsequently derived. Reproducibility was assessed by Bland-Altman plots, 95% limits of agreement and intra-class correlation coefficients (ICC). In both groups, there was no systematic difference between days, with the variables demonstrating a symmetrical, homoscedastic distribution around the zero line. The time domain parameters demonstrated a good to excellent reproducibility irrespective of the population considered (ICC: 0.56 to 0.86). In contrast, whilst the frequency domain parameters similarly showed excellent reproducibility in the healthy children (ICC: 0.70 to 0.96), the majority of the frequency domain parameters illustrated a poor to moderate reproducibility in those with CF (ICC: 0.22 to 0.43). The exceptions to this trend were the normalised LF and HF components which were associated with a good to excellent reproducibility. These findings thereby support the utilisation of time and relative frequency domain HRV indices as a prognostic tool in children with CF. Furthermore, the present results highlight the excellent reproducibility of HRV in healthy children, indicating that this may be a useful tool to assess intervention effectiveness in this population

UK-68,798, A Class III Antiarrhythmic Drug with Antifibrillatory Properties

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/74787/1/j.1527-3466.1992.tb00244.x.pd

Complex systems and the technology of variability analysis

Characteristic patterns of variation over time, namely rhythms, represent a defining feature of complex systems, one that is synonymous with life. Despite the intrinsic dynamic, interdependent and nonlinear relationships of their parts, complex biological systems exhibit robust systemic stability. Applied to critical care, it is the systemic properties of the host response to a physiological insult that manifest as health or illness and determine outcome in our patients. Variability analysis provides a novel technology with which to evaluate the overall properties of a complex system. This review highlights the means by which we scientifically measure variation, including analyses of overall variation (time domain analysis, frequency distribution, spectral power), frequency contribution (spectral analysis), scale invariant (fractal) behaviour (detrended fluctuation and power law analysis) and regularity (approximate and multiscale entropy). Each technique is presented with a definition, interpretation, clinical application, advantages, limitations and summary of its calculation. The ubiquitous association between altered variability and illness is highlighted, followed by an analysis of how variability analysis may significantly improve prognostication of severity of illness and guide therapeutic intervention in critically ill patients

Neuro-cardiac interaction in malignant ventricular arrhythmia and sudden cardiac death

Sudden cardiac death as a result of lethal ventricular arrhythmias is a major cause of death in cardiac diseases such as heart failure and prior myocardial infarct. Activity of the autonomic nervous system is often abnormal where sympathetic activity is upregulated and vagal activity reduced in these conditions. The abnormal autonomic state has been shown to be a strong prognostic marker of increased mortality and propensity to lethal arrhythmias, for which there is no effective prevention. Research effort over the years has established good evidence for a causal link between autonomic disturbance and ventricular arrhythmias. However, the detailed electrophysiological mechanisms by which ventricular fibrillation occurs are still not clear and molecular processes which are modulated by autonomic nerve influences that either predispose the heart to or protect it from these arrhythmias are not fully understood. This review presents data from studies investigating the link between activity of the autonomic nervous system and ventricular arrhythmias, from seminal findings in classical studies to ongoing investigations, in the quest for a better understanding of the arrhythmogenic mechanisms underlying neurocardiac interactions with a view to the development of effective preventative and therapeutic strategies which are very much needed