A new approach of organ perfusion
IKORUS® is an innovative monitoring system that allows physicians to go beyond the "Whole Body" approach. It provides metrics about organ perfusion and could serve as a possible guide to refine treatments, both in intensive care medicine and high-risk surgery.
Because low perfusion of organs can occur, even when systemic hemodynamics are normal, the use of IKORUS® could target new approaches of resuscitation, based not only on arterial pressure-based endpoints, but also tissue perfusion-based endpoints.
Enhanced Individualization of Arterial Pressure value targets
Better optimization of Fluid-loading strategies
Titration of drugs upon effects on tissue perfusion
Detection of cryptic ischemic events
How does it work?
The probe consists of a Foley catheter with a photoplethysmographic sensor (cf Fig.1) embedded inside the shaft.
The photoplethysmographic sensor is composed of:
- An infrared LED for the emission
- A photodiode for the measurement
The wavelength of the infrared LED is highly sensitive to the oxyhemoglobin, almost 50% more than to the hemoglobin.
The Perfusion Index (PI) is calculated from the pulsatile part of signal which reflects the pulsatile blood.
The area under the pulsatile signal is supposed to be proportional to the quantity of blood travelling in front of the sensor through the cardiac cycle. Due to the high sensitivity of infrared light to HbO2 and the fact that it integrates the pulsatile blood, the area under the curve reflects the quantity of arterial oxygenated blood flow arriving near the cells.
Perfusion Index (PI) represents the Area under the pulsatile part per unit of time (min), representing the quantity of pulsatile blood in front of the sensor during one minute
The system consists in 2 different devices that are used in conjunction:
Ikorus® UP probe
- Single use disposable probe
- Urinary drainage function
- Microcirculation sensor (PPG)
- Continuous & real-time measurement
- Easy placement with no impact on workflow
- Stand-alone monitor
- Propriatory algorithmic for signal processing
- Unique information about tissular perfusion
- Long-term and short-term analysis of perfusion trends
- Highlight dissociation between micro and macro variables
Last update : 02/08/19