Literature DB >> 12049685

Effects of carvedilol on heart rate dynamics in patients with congestive heart failure.

Mustafa Ridha1, Timo H Mäkikallio, Gustavo Lopera, Juan Pastor, Eduardo de Marchena, Simon Chakko, Heikki V Huikuri, Agustin Castellanos, Robert J Myerburg.   

Abstract

BACKGROUND: Patients with congestive heart failure (CHF) have alterations in the traditional and nonlinear indices of heart rate (HR) dynamics, which have been associated with an increased risk of mortality. This study was designed to test the effects of carvedilol, a nonselective beta-blocker with alpha-1 blocking properties, on HR dynamics in patients with CHF.
METHODS: We studied 15 patients with CHF secondary to ischemic or idiopathic cardiomyopathy who met the following inclusion criteria: NYHA functional class II-III, optimal conventional medical therapy, normal sinus rhythm, left ventricular ejection fraction (LVEF) of < 40%, and resting systolic blood pressure greater than 100 mmHg. The 6-minute corridor walk test, estimation of LVEF, and 24-hour Holter recording were performed at baseline and after 12 weeks of therapy with carvedilol. Traditional time and frequency domain measures and short-term fractal scaling exponent of HR dynamics were analyzed.
RESULTS: After 12 weeks of therapy with carvedilol, the mean LVEF improved significantly (from 0.27 +/- 0.08 to 0.38 +/- 0.08, P < 0.001). The average HR decreased significantly (from 86 +/- 11 to 70 +/- 8 beats/min, P < 0.001). The mean distance traveled in the 6-minute walk test increased significantly (from 177 +/- 44 to 273 +/- 55 m, P < 0.01). The frequency-domain indices (HF and LF), the time domain indices (rMSSD and PNN5 ), and the short-term fractal scaling exponent increased significantly. The scaling exponent increased particularly among the patients with the lowest initial values (< 1.0), and the change in the fractal scaling exponent correlated with the change in ejection fraction (r = 0.63, P < 0.01).
CONCLUSION: Carvedilol improves time and frequency domain indices of HR variability and corrects the altered scaling properties of HR dynamics in patients with CHF. It also improves LVEF and functional capacity. These specific changes in HR behavior caused by carvedilol treatment may reflect the normalization of impaired cardiovascular neural regulation of patients with CHF.

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Year:  2002        PMID: 12049685      PMCID: PMC7027650          DOI: 10.1111/j.1542-474x.2002.tb00154.x

Source DB:  PubMed          Journal:  Ann Noninvasive Electrocardiol        ISSN: 1082-720X            Impact factor:   1.468


  25 in total

1.  Dynamic analysis of heart rate may predict subsequent ventricular tachycardia after myocardial infarction.

Authors:  T H Mäkikallio; T Seppänen; K E Airaksinen; J Koistinen; M P Tulppo; C K Peng; A L Goldberger; H V Huikuri
Journal:  Am J Cardiol       Date:  1997-09-15       Impact factor: 2.778

2.  Effects of long-term digoxin therapy on heart rate variability, baroreceptor sensitivity, and exercise capacity in patients with heart failure.

Authors:  P E Vardas; E M Kanoupakis; G E Kochiadakis; E N Simantirakis; M E Marketou; G I Chlouverakis
Journal:  Cardiovasc Drugs Ther       Date:  1998-03       Impact factor: 3.727

3.  Fractal analysis and time- and frequency-domain measures of heart rate variability as predictors of mortality in patients with heart failure.

Authors:  T H Mäkikallio; H V Huikuri; U Hintze; J Videbaek; R D Mitrani; A Castellanos; R J Myerburg; M Møller
Journal:  Am J Cardiol       Date:  2001-01-15       Impact factor: 2.778

4.  Effects of beta blockers (atenolol or metoprolol) on heart rate variability after acute myocardial infarction.

Authors:  G Sandrone; A Mortara; D Torzillo; M T La Rovere; A Malliani; F Lombardi
Journal:  Am J Cardiol       Date:  1994-08-15       Impact factor: 2.778

5.  Beta-blockade in heart failure: a comparison of carvedilol with metoprolol.

Authors:  J E Sanderson; S K Chan; G Yip; L Y Yeung; K W Chan; K Raymond; K S Woo
Journal:  J Am Coll Cardiol       Date:  1999-11-01       Impact factor: 24.094

6.  Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics.

Authors:  K K Ho; G B Moody; C K Peng; J E Mietus; M G Larson; D Levy; A L Goldberger
Journal:  Circulation       Date:  1997-08-05       Impact factor: 29.690

7.  Absence of low-frequency variability of sympathetic nerve activity in severe heart failure.

Authors:  P van de Borne; N Montano; M Pagani; R Oren; V K Somers
Journal:  Circulation       Date:  1997-03-18       Impact factor: 29.690

8.  Effect of captopril on cardiac parasympathetic activity in chronic cardiac failure secondary to coronary artery disease.

Authors:  A D Flapan; J Nolan; J M Neilson; D J Ewing
Journal:  Am J Cardiol       Date:  1992-02-15       Impact factor: 2.778

9.  Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-heart).

Authors:  J Nolan; P D Batin; R Andrews; S J Lindsay; P Brooksby; M Mullen; W Baig; A D Flapan; A Cowley; R J Prescott; J M Neilson; K A Fox
Journal:  Circulation       Date:  1998-10-13       Impact factor: 29.690

10.  Influence of metoprolol on heart rate variability in survivors of remote myocardial infarction.

Authors:  E C Keeley; R L Page; R A Lange; J E Willard; C Landau; L D Hillis
Journal:  Am J Cardiol       Date:  1996-03-15       Impact factor: 2.778

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  6 in total

1.  Nonlinear measures of heart rate variability and mortality risk in hemodialysis patients.

Authors:  Mari Suzuki; Takahashi Hiroshi; Toru Aoyama; Miho Tanaka; Hideki Ishii; Masaya Kisohara; Narushi Iizuka; Toyoaki Murohara; Junichiro Hayano
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-21       Impact factor: 8.237

Review 2.  Carvedilol: a review of its use in chronic heart failure.

Authors:  Gillian M Keating; Blair Jarvis
Journal:  Drugs       Date:  2003       Impact factor: 9.546

3.  Heart rate variability analysis in general medicine.

Authors:  Yi Gang; Marek Malik
Journal:  Indian Pacing Electrophysiol J       Date:  2003-01-01

4.  The Effects of Pharmacological Compounds on Beat Rate Variations in Human Long QT-Syndrome Cardiomyocytes.

Authors:  Jukka Kuusela; Jiyeong Kim; Esa Räsänen; Katriina Aalto-Setälä
Journal:  Stem Cell Rev Rep       Date:  2016-12       Impact factor: 5.739

5.  Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction.

Authors:  Junichiro Hayano; Norihiro Ueda; Masaya Kisohara; Emi Yuda; Robert M Carney; James A Blumenthal
Journal:  Front Neurosci       Date:  2021-01-28       Impact factor: 4.677

6.  Deterministic chaos and fractal complexity in the dynamics of cardiovascular behavior: perspectives on a new frontier.

Authors:  Vijay Sharma
Journal:  Open Cardiovasc Med J       Date:  2009-09-10
  6 in total

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