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Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability

Publication ,  Journal Article
Brady, R; Frank-Ito, DO; Tran, HT; Janum, S; Møller, K; Brix, S; Ottesen, JT; Mehlsen, J; Olufsen, MS
Published in: Mathematical Modelling of Natural Phenomena
January 1, 2018

The objective of this study was to develop a personalized inflammatory model and estimate subject-specific parameters that could be related to changes in heart rate variability (HRV), a measure that can be obtained non-invasively in real time. An inflammatory model was developed and calibrated to measurements of interleukin-6 (IL-6), tumor necrosis factor (TNF-alpha), interleukin-8 (IL-8) and interleukin-10 (IL-10) over 8 hours in 20 subjects administered a low dose of lipopolysaccharide. For this model, we estimated 11 subject-specific parameters for all 20 subjects. Estimated parameters were correlated with changes in HRV, computed from ECG measurements using a built-in HRV module available in Labchart. Results revealed that patients could be separated into two groups expressing normal and abnormal responses to endotoxin. Abnormal responders exhibited increased HRV, most likely as a result of increased vagal firing. The observed correlation between the inflammatory response and HRV brings us a step further towards understanding if HRV predictions can be used as a marker for inflammation. Analyzing HRV parameters provides an easy, non-invasively obtained measure that can be used to assess the state of the subject, potentially translating to identifying a non-invasive marker that can be used to detect the onset of sepsis.

Duke Scholars

Published In

Mathematical Modelling of Natural Phenomena

DOI

EISSN

1760-6101

ISSN

0973-5348

Publication Date

January 1, 2018

Volume

13

Issue

5

Related Subject Headings

  • 4901 Applied mathematics
  • 0102 Applied Mathematics
 

Citation

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Brady, R., Frank-Ito, D. O., Tran, H. T., Janum, S., Møller, K., Brix, S., … Olufsen, M. S. (2018). Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability. Mathematical Modelling of Natural Phenomena, 13(5). https://doi.org/10.1051/mmnp/2018031
Brady, R., D. O. Frank-Ito, H. T. Tran, S. Janum, K. Møller, S. Brix, J. T. Ottesen, J. Mehlsen, and M. S. Olufsen. “Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability.” Mathematical Modelling of Natural Phenomena 13, no. 5 (January 1, 2018). https://doi.org/10.1051/mmnp/2018031.
Brady R, Frank-Ito DO, Tran HT, Janum S, Møller K, Brix S, et al. Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability. Mathematical Modelling of Natural Phenomena. 2018 Jan 1;13(5).
Brady, R., et al. “Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability.” Mathematical Modelling of Natural Phenomena, vol. 13, no. 5, Jan. 2018. Scopus, doi:10.1051/mmnp/2018031.
Brady R, Frank-Ito DO, Tran HT, Janum S, Møller K, Brix S, Ottesen JT, Mehlsen J, Olufsen MS. Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability. Mathematical Modelling of Natural Phenomena. 2018 Jan 1;13(5).
Journal cover image

Published In

Mathematical Modelling of Natural Phenomena

DOI

EISSN

1760-6101

ISSN

0973-5348

Publication Date

January 1, 2018

Volume

13

Issue

5

Related Subject Headings

  • 4901 Applied mathematics
  • 0102 Applied Mathematics