Literature DB >> 8335829

Conventional heart rate variability analysis of ambulatory electrocardiographic recordings fails to predict imminent ventricular fibrillation.

T Vybiral1, D H Glaeser, A L Goldberger, D R Rigney, K R Hess, J Mietus, J E Skinner, M Francis, C M Pratt.   

Abstract

OBJECTIVES: The purpose of this report was to study heart rate variability in Holter recordings of patients who experienced ventricular fibrillation during the recording.
BACKGROUND: Decreased heart rate variability is recognized as a long-term predictor of overall and arrhythmic death after myocardial infarction. It was therefore postulated that heart rate variability would be lowest when measured immediately before ventricular fibrillation.
METHODS: Conventional indexes of heart rate variability were calculated from Holter recordings of 24 patients with structural heart disease who had ventricular fibrillation during monitoring. The control group consisted of 19 patients with coronary artery disease, of comparable age and left ventricular ejection fraction, who had nonsustained ventricular tachycardia but no ventricular fibrillation.
RESULTS: Heart rate variability did not differ between the two groups, and no consistent trends in heart rate variability were observed before ventricular fibrillation occurred.
CONCLUSIONS: Although conventional heart rate variability is an independent long-term predictor of adverse outcome after myocardial infarction, its clinical utility as a short-term predictor of life-threatening arrhythmias remains to be elucidated.

Entities:  

Keywords:  NASA Discipline Cardiopulmonary; Non-NASA Center

Mesh:

Year:  1993        PMID: 8335829     DOI: 10.1016/0735-1097(93)90064-8

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  8 in total

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5.  Morning surge of ventricular arrhythmias in a new arrhythmogenic canine model of chronic heart failure is associated with attenuation of time-of-day dependence of heart rate and autonomic adaptation, and reduced cardiac chaos.

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6.  Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death.

Authors:  James E Skinner; Michael Meyer; Brian A Nester; Una Geary; Pamela Taggart; Antoinette Mangione; George Ramalanjaona; Carol Terregino; William C Dalsey
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7.  Risk stratification for arrhythmic death in an emergency department cohort: a new method of nonlinear PD2i analysis of the ECG.

Authors:  James E Skinner; Michael Meyer; William C Dalsey; Brian A Nester; George Ramalanjaona; Brian J O'Neil; Antoinette Mangione; Carol Terregino; Abel Moreyra; Daniel N Weiss; Jerry M Anchin; Una Geary; Pamela Taggart
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8.  Potential effects of intrinsic heart pacemaker cell mechanisms on dysrhythmic cardiac action potential firing.

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Journal:  Front Physiol       Date:  2015-02-23       Impact factor: 4.566

  8 in total

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