2016 Fiscal Year Final Research Report
Outcome and severity prediction of critically ill patients by complexity analysis of integer heart rate or respiratory rate stored in bed-side monitor
| Project/Area Number |
26462749
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Emergency medicine
|
|---|
| Research Institution | Niigata University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Keywords | ベッドサイドモニター / 整数心拍数 / 非線形解析 / 複雑性解析 / 重症患者 / 重症度予測 / 転帰予測 |
|---|
| Outline of Final Research Achievements |
It is recently described that bio-signals are getting more simple, regular, and predictable in pathological state. We studied whether complexity analysis of integer heart rate(1440data/day) measured with Bed-side monitor could predict severity or outcome in ICU settings. In septic patients, there were significant correlations between multi-scale entropy (MSE) and APACHE II score or MSE and SOFA score. In post resuscitation patients, MSE, approximate entropy, and Detrended fluctuation analysis of integer heart rate of first 24hours after return of spontaneous circulation in good outcome patients were significantly higher those in poor outcome patients.
Thus, less variability of integer heart rate strongly indicates more serious state or poor outcome.
|
| Free Research Field |
集中治療
|
