Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 May 1:14:59.
doi: 10.1186/1471-2261-14-59.

Usefulness of the heart-rate variability complex for predicting cardiac mortality after acute myocardial infarction

Tao Song, Xiu Fen Qu  1 , Ying Tao Zhang, Wei Cao, Bai He Han, Yang Li, Jing Yan Piao, Lei Lei Yin, Heng Da Cheng
Affiliations

Usefulness of the heart-rate variability complex for predicting cardiac mortality after acute myocardial infarction

Tao Song et al. BMC Cardiovasc Disord. .

Abstract

Background: Previous studies indicate that decreased heart-rate variability (HRV) is related to the risk of death in patients after acute myocardial infarction (AMI). However, the conventional indices of HRV have poor predictive value for mortality. Our aim was to develop novel predictive models based on support vector machine (SVM) to study the integrated features of HRV for improving risk stratification after AMI.

Methods: A series of heart-rate dynamic parameters from 208 patients were analyzed after a mean follow-up time of 28 months. Patient electrocardiographic data were classified as either survivals or cardiac deaths. SVM models were established based on different combinations of heart-rate dynamic variables and compared to left ventricular ejection fraction (LVEF), standard deviation of normal-to-normal intervals (SDNN) and deceleration capacity (DC) of heart rate. We tested the accuracy of predictors by assessing the area under the receiver-operator characteristics curve (AUC).

Results: We evaluated a SVM algorithm that integrated various electrocardiographic features based on three models: (A) HRV complex; (B) 6 dimension vector; and (C) 8 dimension vector. Mean AUC of HRV complex was 0.8902, 0.8880 for 6 dimension vector and 0.8579 for 8 dimension vector, compared with 0.7424 for LVEF, 0.7932 for SDNN and 0.7399 for DC.

Conclusions: HRV complex yielded the largest AUC and is the best classifier for predicting cardiac death after AMI.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Receiver-operator characteristic curves for predicting cardiac deaths by HRV complex, 6 dimension, 8 dimension, LVEF, SDNN and DC. Sensitivity is determined from the proportion of cardiac deaths identified as high risk; specificity is determined from the proportion of survivors identified as low risk.
See this image and copyright information in PMC

References

    1. Bardy GH, Lee KL, Mark DB, Poole JE, Packer DL, Boineau R, Domanski M, Troutman C, Anderson J, Johnson G. Amiodarone or an implantable cardioverter–defibrillator for congestive heart failure. N Engl J Med. 2005;352(3):225–237. doi: 10.1056/NEJMoa043399. - DOI - PubMed
    1. Kusmirek SL, Gold MR. Sudden cardiac death: the role of risk stratification. Am Heart J. 2007;153(4):25–33. doi: 10.1016/j.ahj.2007.01.024. - DOI - PubMed
    1. Moss AJ, Zareba W, Hall WJ, Klein H, Wilber DJ, Cannom DS, Daubert JP, Higgins SL, Brown MW, Andrews ML. Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N Engl J Med. 2002;346(12):877–883. doi: 10.1056/NEJMoa013474. - DOI - PubMed
    1. Kurths J, Voss A, Saparin P, Witt A, Kleiner H, Wessel N. Quantitative analysis of heart rate variability. CHAOS. 1995;5(1):88–94. doi: 10.1063/1.166090. - DOI - PubMed
    1. Huikuri HV, Tapanainen JM, Lindgren K, Raatikainen P, Mäkikallio TH, Airaksinen KJ, Myerburg RJ. Prediction of sudden cardiac death after myocardial infarction in the beta-blocking era. J Am Coll Cardiol. 2003;42(4):652–658. doi: 10.1016/S0735-1097(03)00783-6. - DOI - PubMed

Publication types

MeSH terms