Abstract
The objective of this study is to develop a personalized inflammatory model and
estimate subject-specific parameters that can be related to changes in heart rate
variability (HRV), a measure that can be obtained non-invasively in real time. An
inflammatory model is 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, noninvasively
obtained measure that can be used to asses the state of the subject,
potentially translating to identifying a non-invasive marker that can be used to detect the onset of sepsis.
estimate subject-specific parameters that can be related to changes in heart rate
variability (HRV), a measure that can be obtained non-invasively in real time. An
inflammatory model is 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, noninvasively
obtained measure that can be used to asses the state of the subject,
potentially translating to identifying a non-invasive marker that can be used to detect the onset of sepsis.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 42 |
| Tidsskrift | Mathematical Modelling of Natural Phenomena |
| Vol/bind | 13 |
| Udgave nummer | 5 |
| Antal sider | 20 |
| ISSN | 0973-5348 |
| DOI | |
| Status | Udgivet - 2018 |