The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Heart rate variability as predictive factor for sudden cardiac death
Open accessAbstract
Sudden cardiac death (SCD) represents about 25% of deaths in clinical cardiology. The identification of risk factors for SCD is the philosopher's stone of cardiology and the identification of non-invasive markers of risk of SCD remains one of the most important goals for the scientific community.The aim of this review is to analyze the state of the art around the heart rate variability (HRV) as a predictor factor for SCD.HRV is probably the most analyzed index in cardiovascular risk stratification technical literature, therefore an important number of models and methods have been developed.Nowadays, low HRV has been shown to be independently predictive of increased mortality in post- myocardial infarction patients, heart failure patients, in contrast with the data of the general population.Contrariwise, the relationship between HRV and SCD has received scarce attention in low-risk cohorts. Furthermore, in general population the attributable risk is modest and the cost/benefit ratio is not always convenient.The HRV evaluation could become an important tool for health status in risks population, even though the use of HRV alone for risk stratification of SCD is limited and further studies are needed.
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Cites
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Cited by
Exercise benefits in cardiovascular disease: beyond attenuation of traditional risk factors
Fiuza-Luces, C., Santos-Lozano, A., Joyner, M., Carrera-Bastos, P., Picazo, O., Zugaza, J. L., Izquierdo, M., Ruilope, L. M., & Lucia, A. (2018) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0065-1 · Cited by 803
Lehrer, P., Kaur, K., Sharma, A., Shah, K., Huseby, R., Bhavsar, J., Sgobba, P., & Zhang, Y. (2020) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-020-09466-z · Cited by 469
Zou, L., Sasaki, J. E., Wei, G.-X., Huang, T., Yeung, A. S., Neto, O. B., Chen, K. W., & Hui, S. S.-C. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7110404 · Cited by 267
“Many clinicians and researchers believe that HRV is not only a predictor of mortality in patients with post-myocardial infarction and heart failure [2], but that it can also be used to objectively assess emotional health especially stress levels [3,4].”
BackgroundBorovac, J. A., D'Amario, D., Bozic, J., & Glavas, D. (2020) · World Journal of Cardiology · doi:10.4330/wjc.v12.i8.373 · Cited by 195
Jensen, M. T., Treskes, R. W., Caiani, E. G., Casado-Arroyo, R., Cowie, M. R., Dilaveris, P., Duncker, D., Di Rienzo, M., Frederix, I., De Groot, N., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab011 · Cited by 93
Metadata
- Authors
- Sessa, F., Anna, V., Messina, G., Cibelli, G., Monda, V., Marsala, G., Ruberto, M., Biondi, A., Cascio, O., Bertozzi, G., Pisanelli, D., Maglietta, F., Messina, A., Mollica, M. P., & Salerno, M.
- Venue
- Aging
- Publisher
- Impact Journals, LLC
- Published
- 2018-02-23
- Volume
- 10
- Issue
- 2
- Pages
- 166-177
- ISSN
- 1945-4589 (ISSN-L)
- OpenAlex
- W2790041106
- Cited by
- 308
- References
- 100
- FWCI
- 20.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Sessa, F., Anna, V., Messina, G., Cibelli, G., Monda, V., Marsala, G., Ruberto, M., Biondi, A., Cascio, O., Bertozzi, G., Pisanelli, D., Maglietta, F., Messina, A., Mollica, M. P., & Salerno, M. (2018). Heart rate variability as predictive factor for sudden cardiac death. Aging. https://doi.org/10.18632/aging.101386
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
