Novel method to quantify loss of heart rate variability in pediatric multiple organ failure
- PMID: 12847404
- DOI: 10.1097/01.CCM.0000069539.65980.58
Novel method to quantify loss of heart rate variability in pediatric multiple organ failure
Abstract
Objective: To develop a power-law model for measurement of heart rate variability (HRV) and to compare this model with established methods for measuring HRV in a group of children with organ failure (OF).
Design: Prospective, observational study.
Setting: Pediatric intensive care unit of a tertiary children's hospital.
Patients: A total of 104 measurements were made on 50 patients (median age, 8 months; range, 2 days to 16 yrs) and categorized into three groups according to the number of simultaneous organs failing: 0-1 OF, 2 OF, and >/=3 OF.
Interventions: Heart rate was recorded over a 5-min period when patients were hemodynamically stable. The power-law model represents a power function relating frequency distribution to magnitude of effect (in this case, squared deviation from the mean heart rate). Plotting the data on a bi-logarithmic scale produces a regression line for each measurement, described in terms of r2, slope, and x-intercept. Comparison with other HRV measures included two time-domain measures (sd of the normal R-R intervals and the square root of the mean squared differences of successive normal R-R intervals), one frequency-domain method (power spectral analysis), and one nonlinear method (detrended fluctuation analysis).
Measurements and results: For the power-law model, patients exhibited a similar r2 of.87 (.09) (mean [sd]) and slope of -1.80 (0.29), regardless of the degree of OF. HRV could thus be described purely in terms of x-intercept, which demonstrated a left shift with increasing OF (p <.001). This was independent of age and heart rate. Loss of HRV with increasing OF was demonstrated by all methods; however, only the power-law model was able to discriminate between each OF group. Using the model, change in HRV in individual patients over successive days often concurred qualitatively with the change in OF status.
Conclusion: The power-law model is an appropriate measure of HRV in pediatric patients, being neither age nor heart rate sensitive. Loss of HRV occurs with increasing OF; this effect was better demonstrated by the model compared with other measures of HRV.
Comment in
-
Power-law model for understanding multiple organ dysfunction syndrome.Crit Care Med. 2003 Jul;31(7):2079-80. doi: 10.1097/01.CCM.0000069540.34700.CD. Crit Care Med. 2003. PMID: 12847411 No abstract available.
Similar articles
-
Power-law model for understanding multiple organ dysfunction syndrome.Crit Care Med. 2003 Jul;31(7):2079-80. doi: 10.1097/01.CCM.0000069540.34700.CD. Crit Care Med. 2003. PMID: 12847411 No abstract available.
-
[Changes in autonomic control of heart rate after ischemic cerebral stroke].Acta Med Croatica. 2003;57(4):269-73. Acta Med Croatica. 2003. PMID: 14639860 Croatian.
-
Heart rate variability in dilated cardiomyopathy.Indian Heart J. 2000 Mar-Apr;52(2):187-91. Indian Heart J. 2000. PMID: 10893896
-
A population-based study on the determinants of heart rate and heart rate variability in the frequency domain.Verh K Acad Geneeskd Belg. 2001;63(1):57-89; discussion 90-1. Verh K Acad Geneeskd Belg. 2001. PMID: 11284389 Review.
-
[Heart rate variability--physiology, methods of registration and application in pediatric sleep laboratory].Wien Klin Wochenschr. 2000 Mar 10;112(5):234-50. Wien Klin Wochenschr. 2000. PMID: 10763537 Review. German.
Cited by
-
Decomposition of Heart Rate Variability Spectrum into a Power-Law Function and a Residual Spectrum.Front Cardiovasc Med. 2016 Jun 2;3:16. doi: 10.3389/fcvm.2016.00016. eCollection 2016. Front Cardiovasc Med. 2016. PMID: 27314001 Free PMC article.
-
Clustering heart rate dynamics is associated with β-adrenergic receptor polymorphisms: analysis by information-based similarity index.PLoS One. 2011 May 4;6(5):e19232. doi: 10.1371/journal.pone.0019232. PLoS One. 2011. PMID: 21573230 Free PMC article.
-
Reduced heart rate volatility: an early predictor of death in trauma patients.Ann Surg. 2004 Sep;240(3):547-54; discussion 554-6. doi: 10.1097/01.sla.0000137143.65540.9c. Ann Surg. 2004. PMID: 15319726 Free PMC article.
-
The use of heart rate variability measures as indicators of autonomic nervous modulation must be careful in patients after orthotopic heart transplantation.J Clin Monit Comput. 2016 Oct;30(5):687-97. doi: 10.1007/s10877-015-9747-y. Epub 2015 Aug 14. J Clin Monit Comput. 2016. PMID: 26271510 Free PMC article.
-
Time series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICU.Theor Biol Med Model. 2011 Oct 24;8:40. doi: 10.1186/1742-4682-8-40. Theor Biol Med Model. 2011. PMID: 22023778 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials