Literature DB >> 8945054

Stepwise strategy of using short- and long-term heart rate variability for risk stratification after myocardial infarction.

T S Faber1, A Staunton, K Hnatkova, A J Camm, M Malik.   

Abstract

Independent of other established risk factors, depressed heart rate variability (HRV) has been shown to be a powerful predictor of cardiac events after MI. Unfortunately, the need of 24-hour ECG recording and subsequent laborious editing of Holter data limits the clinical use of long-term HRV. In order to perform post-MI risk stratification more efficiently, we evaluated the value of short-term HRV estimates for preselection of patients who might benefit from long-term HRV assessment. Two measures were assessed from 24-hour ambulatory ECGs recorded in 729 survivors of acute MI prior to hospital discharge. In addition to a complete 24-hour HRV index, a standard deviation of normal-to-normal RR intervals (SDNN) was obtained from the first stationary and ectopic free 5-minute segment of the Holter recording. Predictive power (relation between positive predictive accuracy and sensitivity) of a complete 24-hour HRV index in identifying patients who suffered from cardiac mortality or arrhythmic events during a 2-year follow-up was compared to the predictive power of assessing the 24-hour HRV index limited to 50%, 40%, or 20% of patients with the lowest values of 5-minute SDNN. The HRV index was significantly lower in patients who died (19 +/- 11 units) or had an arrhythmic event (AE) (18 +/- 11 units) compared to those who survived without an event (28 +/- 10 resp. 27 +/- 11 units; P < 0.001). Similarly, 5-minute SDNN was significantly lower in patients who died (25 +/- 12 ms) or suffered an AE (26 +/- 13 ms) compared to survivors (40 +/- 19 ms resp. 39 +/- 19 ms; P < 0.001). When limited to patients with depressed 5-minute SDNN, assessment of the HRV index performed better than 5-minute SDNN alone in positive prediction of cardiac events. Preselected assessment of the lowest HRV index in 50% to 20% of the total population yielded a 2-year cardiac event prediction rate as high as analysis of the HRV index in all patients. Long-term HRV assessment for risk stratification after MI in patients preselected by depressed short-term SDNN is safe and efficient, and allows a practical identification of patients with the highest likelihood of cardiac events during long-term follow-up.

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Year:  1996        PMID: 8945054     DOI: 10.1111/j.1540-8159.1996.tb03238.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  6 in total

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Authors:  Gavin R H Sandercock; Richard Grocott-Mason; David A Brodie
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2.  Ambulatory and challenge-associated heart rate variability measures predict cardiac responses to real-world acute emotional stress.

Authors:  Gülce N Dikecligil; Lilianne R Mujica-Parodi
Journal:  Biol Psychiatry       Date:  2010-03-17       Impact factor: 13.382

3.  Comparison of heart rate variability and cardiac arrhythmias in polluted and clean air episodes in healthy individuals.

Authors:  Gholamreza Davoodi; Ahmad Yamini Sharif; Ali Kazemisaeid; Saeed Sadeghian; Ali Vasheghani Farahani; Mehrdad Sheikhvatan; Mina Pashang
Journal:  Environ Health Prev Med       Date:  2010-01-22       Impact factor: 3.674

4.  Stress and Tinnitus; Transcutaneous Auricular Vagal Nerve Stimulation Attenuates Tinnitus-Triggered Stress Reaction.

Authors:  Jukka Ylikoski; Marika Markkanen; Ulla Pirvola; Jarmo Antero Lehtimäki; Matti Ylikoski; Zou Jing; Saku T Sinkkonen; Antti Mäkitie
Journal:  Front Psychol       Date:  2020-09-17

5.  Heart rate variability: short-term studies are as useful as holter to differentiate diabetic patients from healthy subjects.

Authors:  Eduardo R Migliaro; Paola Contreras
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-10       Impact factor: 1.468

6.  Cardiovascular diseases, risk factors and short-term heart rate variability in an elderly general population: the CARLA study 2002-2006.

Authors:  Karin Halina Greiser; Alexander Kluttig; Barbara Schumann; Cees A Swenne; Jan A Kors; Oliver Kuss; Johannes Haerting; Hendrik Schmidt; Joachim Thiery; Karl Werdan
Journal:  Eur J Epidemiol       Date:  2009-02-07       Impact factor: 8.082

  6 in total

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