Literature DB >> 1644079

Heart rate behaviour at different stages of congestive heart failure.

T Stefenelli1, J Bergler-Klein, S Globits, R Pacher, D Glogar.   

Abstract

Depressed heart rate variation has been shown to predict a high mortality rate in patients with severe congestive heart failure. To determine whether the degree of altered heart rate correlates with the clinical state, 24-h Holter monitoring was performed in 21 patients (mean ejection fraction: 18 +/- 11%) at baseline and after 6 months of oral therapy. At baseline, the overall 24-h heart rate variation and night/day heart rate ratio was reduced, depending on the NYHA functional class. The typical morphology of R-R interval histograms was a sensitive marker of the clinical state at baseline: the higher the NYHA class, the smaller the R-R interval variability and standard deviation of R-R intervals (total variability NYHA III versus II: P less than 0.05). Clinical deterioration after 6 months (n = 8) was accompanied by a tendency to further shortening of the mean total R-R interval variability (676 +/- 34 to 586 +/- 25 ms). This was shown in three patients, who were reclassified to NYHA class IV. In stable patients (n = 5) and those with clinical improvement (n = 8) no significant change in R-R variability was observed. It is concluded that variations in R-R interval histogram shapes correspond to different NYHA functional classes. While severe clinical disease progression may be associated with further reductions in the heart rate variability, improvement in the clinical state of congestive heart failure is not necessarily associated with changes in heart rate behaviour.

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Year:  1992        PMID: 1644079     DOI: 10.1093/oxfordjournals.eurheartj.a060290

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  10 in total

1.  Diastolic ventricular interaction in chronic heart failure: relation to heart rate variability and neurohumoral status.

Authors:  J J Atherton; D J Blackman; T D Moore; A W Bachmann; T J Tunny; H L Thomson; R D Gordon; M P Frenneaux
Journal:  Heart Vessels       Date:  1998       Impact factor: 2.037

2.  Heart rate variability in patients with the first and recurrent myocardial infarction.

Authors:  T Ristimäe; H V Huikuri; R Teesalu
Journal:  Clin Auton Res       Date:  1998-08       Impact factor: 4.435

3.  Heart rate variability and sympathovagal balance: pharmacological validation.

Authors:  M Bootsma; C A Swenne; M J A Janssen; V Manger Cats; M J Schalij
Journal:  Neth Heart J       Date:  2003-06       Impact factor: 2.380

Review 4.  Time and frequency domain assessment of heart rate variability: a theoretical and clinical appreciation.

Authors:  J P Spiers; B Silke; U McDermott; R G Shanks; D W Harron
Journal:  Clin Auton Res       Date:  1993-04       Impact factor: 4.435

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

Authors:  G Yi; J H Goldman; P J Keeling; M Reardon; W J McKenna; M Malik
Journal:  Heart       Date:  1997-02       Impact factor: 5.994

6.  Automatic measurement of long-term heart rate variability by implanted single-chamber devices.

Authors:  M Malik; V Padmanabhan; W H Olson
Journal:  Med Biol Eng Comput       Date:  1999-09       Impact factor: 2.602

7.  Reduced diurnal variation of heart rate is associated with increased plasma B-type natriuretic peptide level in patients with atrial fibrillation.

Authors:  Shigeshi Kamikawa; Toru Miyoshi; Masayuki Doi; Naoko Orita; Mutsuko Sangawa; Takaaki Nakatsu; Youko Noguchi; Satoshi Hirohata; Shozo Kusachi; Kazufumi Nakamura; Hiroshi Ito
Journal:  Clin Cardiol       Date:  2013-04-12       Impact factor: 2.882

8.  Loss of lag-response curvilinearity of indices of heart rate variability in congestive heart failure.

Authors:  Tushar P Thakre; Michael L Smith
Journal:  BMC Cardiovasc Disord       Date:  2006-06-12       Impact factor: 2.298

9.  Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients.

Authors:  Ying Hu; Shifeng Jiang; Siyuan Lu; Rong Xu; Yunping Huang; Zongliang Zhao; Yi Qu
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

10.  Entropy-Based Measures of Hypnopompic Heart Rate Variability Contribute to the Automatic Prediction of Cardiovascular Events.

Authors:  Xueya Yan; Lulu Zhang; Jinlian Li; Ding Du; Fengzhen Hou
Journal:  Entropy (Basel)       Date:  2020-02-20       Impact factor: 2.524

  10 in total

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