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 |
|
Co-Investigator(Kenkyū-buntansha) |
新田 正和 新潟大学, 医歯学総合病院, 准教授 (90375791)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2014: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
|
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 / 心拍数 / 院外心停止 / Deceleration Capacity / 蘇生後脳症 / 敗血症 / 重症度 / 転帰 / 複雑性 / 生体モニター / 呼吸数 / APACHE II / SOFA / 近似エントロピー |
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.
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Report
(4 results)
Research Products
(8 results)