Cited by 195Sepsis Diagnosis and TreatmentHeart Rate Variability and Autonomic ControlHemodynamic Monitoring and Therapy

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Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients

Pontet, Julio, Contreras, Paola, Curbelo, Andrea, Medina, Julio, Noveri, Sylvia, Bentancourt, Solveig, Migliaro, Eduardo R.·2003·Journal of Critical Care

DOI 10.1016/j.jcrc.2003.08.005

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Abstract

Purpose To determine whether measuring heart rate variability (HRV) in a group of septic patients without multiple organ dysfunction syndrome (MODS) made it possible to predict which of them would later develop this syndrome.Material and methods We studied 46 septic patients without MODS at the time of admission to an intensive care unit (ICU). During the first 24 hours of admission, a 10-minute electrocardiogram (ECG) was performed and 8 HRV indexes were calculated off-line. Eleven patients later developed MODS (MODS group) during their ICU stay, and 28 did not (non-MODS group). Seven patients were excluded.Results Although Acute Physiological and Chronic Health Evaluation (APACHE II) scores were similar for both groups, most HRV indices on admission were reduced significantly in the MODS group. Compared with a subset from the non-MODS group (control group, n = 11) paired by age, the MODS group had significantly lower low-frequency spectral components (LF, P =.0128) and mean squared successive differences of R-R intervals (rMSSD) (P =.0473) values. Multivariable logistic regression identified LF as the best predictor of MODS and received operating characteristic (ROC) curves established its cut-off point at 18 ms(2). Mortality rates were 63.6% for the MODS group and 0% for the non-MODS group (P <.0001).Conclusions Reduction of HRV on ICU admission may be useful in identifying septic patients at risk for development of MODS.

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Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159
APACHE II
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1985) · Critical Care Medicine · doi:10.1097/00003246-198510000-00009 · Cited by 15,518
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
APACHE II-A Severity of Disease Classification System
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1986) · Critical Care Medicine · doi:10.1097/00003246-198608000-00028 · Cited by 13,379
The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
Welch, P. D. (1967) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1967.1161901 · Cited by 12,363
American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference
(1992) · Critical Care Medicine · doi:10.1097/00003246-199206000-00025 · Cited by 5,134
Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin
Borovikova, L. V., Ivanova, S., Zhang, M., Yang, H., Botchkina, G. I., Watkins, L. R., Wang, H., Abumrad, N., Eaton, J. W., & Tracey, K. J. (2000) · Nature · doi:10.1038/35013070 · Cited by 4,211
Multiple Organ Dysfunction Score
Marshall, J. C., Cook, D. J., Christou, N. V., Bernard, G. R., Sprung, C. L., & Sibbald, W. J. (1995) · Critical Care Medicine · doi:10.1097/00003246-199510000-00007 · Cited by 2,539
Introduction to Spectral Analysis
(2005) · Technometrics · doi:10.1198/tech.2005.s841 · Cited by 1,933
Gram-Negative Bacteremia
McCabe, W. R. (1962) · Archives of Internal Medicine · doi:10.1001/archinte.1962.03620240029006 · Cited by 1,378

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Marshall, 2000, Complexity, chaos and incomprehensibility, Crit Care Med, 7, 2193

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Nizri‏, E., & Brenner, T. (2012) · Springer eBooks · doi:10.1007/978-3-7091-0888-8_3
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ВАРИАБЕЛЬНОСТЬ СЕРДЕЧНОГО РИТМА КАК МАРКЕР ТЯЖЕСТИ СОСТОЯНИЯ И ПРОГНОСТИЧЕСКИЙ ФАКТОР У ПАЦИЕНТОВ ОТДЕЛЕНИЙ РЕАНИМАЦИИ И ИНТЕНСИВНОЙ ТЕРАПИИ
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Yoram Vodovotz, B., & An, G. C. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-397884-4.00011-2

Authors: Pontet, J., Contreras, P., Curbelo, A., Medina, J., Noveri, S., Bentancourt, S., & Migliaro, E. R.
Affiliations: Universidad de la República de Uruguay (UY)
Institut Pasteur de Montevideo (UY)
Corresponding author: Migliaro, Eduardo R.
ORCID: Pontet, Julio
Contreras, Paola
Venue: Journal of Critical Care
Publisher: Elsevier BV
Published: 2003-09
Volume: 18
Issue: 3
Pages: 156-163
ISSN: 0883-9441 (ISSN-L)
DOI: 10.1016/j.jcrc.2003.08.005
OpenAlex: W2056503107
Cited by: 195
References: 50
Citations by year: 2026: 4 · 2025: 4 · 2024: 10 · 2023: 5 · 2022: 8 · 2021: 11 · 2020: 9 · 2019: 6 · 2018: 9 · 2017: 14 · 2016: 5 · 2015: 9 · 2014: 9 · 2013: 11 · 2012: 17
FWCI: 3.51
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Critical Care (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
Keywords: heart rate variability, multiple organ failure, sepsis, RMSSD, APACHE II score, mortality, intensive care unit admission
MeSH terms: Adult, Aged, Electrocardiography, Female, Heart Rate, Humans, Intensive Care Units, Male, Middle Aged, Multiple Organ Failure, Predictive Value of Tests, Prospective Studies, Retrospective Studies, ROC Curve, Biomarkers, Logistic Models, Case-Control Studies, Sepsis

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Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients

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