Literature DB >> 7595127

Heart rate variability. Is it influenced by disturbed sinoatrial node function?

M Sosnowski1, T Petelenz.   

Abstract

Analysis of heart rate variability (HRV) is commonly used to assess the influences of the autonomic nervous system on the heart; however, its relation to the sinoatrial node function has not been clearly defined. In this study, the authors performed HRV investigations in 150 patients (51 women and 99 men; mean age, 49 years; range, 17-80 years) in whom clinical observation and electrophysiologic transesophageal studies proved sinoatrial node dysfunction (SAND) and in 50 healthy control subjects (19 women and 31 men; mean age, 37 years; range, 15-60 years). All examined subjects underwent transesophageal left atrial overdrive pacing for the evaluation of sinus node recovery. The HRV analysis was based on 1-minute esophageal electrocardiographic recordings. Two time-domain HRV variables were measured: variability range ([VR]) the difference between the longest and the shortest sinus cycle length, divided by basic sinus cycle length) and beat-to-beat variability ([DSCL]--the maximum difference between any two consecutive sinus cycle lengths) during a 1-minute recording. Because of the known effects of age and basic sinus cycle, statistically adjusted means of VR and DSCL were compared. In patients suffering from SAND, DSCL was significantly higher than in the control subjects (198 +/- 206 vs 98 +/- 89 ms, respectively), as was VR (30.3 +/- 23.3% vs 20.9 +/- 121.1%).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7595127     DOI: 10.1016/s0022-0736(05)80263-8

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  3 in total

1.  Reliability of Ultra-Short ECG Indices for Heart Rate Variability.

Authors:  Udi Nussinovitch; Keren Politi Elishkevitz; Keren Katz; Moshe Nussinovitch; Shlomo Segev; Benjamin Volovitz; Naomi Nussinovitch
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-04       Impact factor: 1.468

2.  Heart rate variability is a predictor of mortality in chronic kidney disease: a report from the CRIC Study.

Authors:  Paul E Drawz; Denise C Babineau; Carolyn Brecklin; Jiang He; Radhakrishna R Kallem; Elsayed Z Soliman; Dawei Xie; Dina Appleby; Amanda H Anderson; Mahboob Rahman
Journal:  Am J Nephrol       Date:  2013-12-14       Impact factor: 3.754

3.  Heart Rate Fragmentation as a Novel Biomarker of Adverse Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.

Authors:  Madalena D Costa; Susan Redline; Roger B Davis; Susan R Heckbert; Elsayed Z Soliman; Ary L Goldberger
Journal:  Front Physiol       Date:  2018-09-03       Impact factor: 4.566

  3 in total

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