Literature DB >> 8554003

Role of spectral measures of heart rate variability as markers of disease progression in patients with chronic congestive heart failure not treated with angiotensin-converting enzyme inhibitors.

G Panina1, U N Khot, E Nunziata, R J Cody, P F Binkley.   

Abstract

Measures of heart rate variability in the frequency domain quantify autonomic activity. However, the relation of these measures to the severity of ventricular dysfunction in patients with congestive heart failure remains uncertain. We applied spectral analysis of heart rate variability to 24-hour Holter monitor recordings obtained from 20 patients with congestive heart failure who were not treated with angiotensin-converting enzyme inhibitors to determine whether significant changes in parameters of heart rate variability reflect the progression of symptoms in patients with ventricular failure. Both total and low-frequency heart rate spectral power were seen to decrease with worsening New Heart Associate (NYHA) functional class. A significant (p = 0.04) higher total power was noted in NYHA class II than in class III patients (3.0 x 10(-3) +/- 3.6 10(-4) and 2.5 x 10(-3) +/- 5.9 x 19(-4) [beats/min]2, respectively). Similarly, low-frequency heart rate spectral power was significantly (p = 0.008) higher in class II than in class III patients (1.7 x 10(-3) +/- 4.6 x 10(-4) and 1.1 x 10(-3) +/- 3.5 x 10(-4) [beats/min]2, respectively). Only the low-frequency component of the spectrum was directly correlated with left ventricular ejection fraction (LVEF) (r = 0.40) with a trend toward statistical significance (p = 0.07). Measures of heart rate variability and the changes in autonomic tone that they reflect may therefore serve as markers of the extent of disease progression in patients with congestive heart failure.

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Year:  1996        PMID: 8554003     DOI: 10.1016/s0002-8703(96)90064-2

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  6 in total

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2.  A placebo-controlled study examining the effect of allopurinol on heart rate variability and dysrhythmia counts in chronic heart failure.

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4.  A comparison of continuous intravenous insulin and subcutaneous insulin among patients with type 2 diabetes and congestive heart failure exacerbation.

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Review 5.  Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques.

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6.  Depressed sympathovagal modulation indicates sepsis in patients with suspected infection.

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  6 in total

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