METHOD AND SYSTEM FOR ADMINISTERING AN ANAESTHETIC

• US 20110137134A1
• Filed: 01/17/2008
• Published: 06/09/2011
• Est. Priority Date: 01/17/2007
• Status: Abandoned Application

• Current Assignee: Emile Salhab, Guillaume Trager, Pierre A. Mathieu, Stephane Deschamps, Thomas Hemmerling
• Original Assignee: Emile Salhab, Guillaume Trager, Pierre A. Mathieu, Stephane Deschamps, Thomas Hemmerling
• Inventors: Trager, Guillaume, Mathieu, Pierre A., Hemmerling, Thomas, Salhab, Emile, Deschamps, Stephane
• Application Number:
  US12/448,924
• Publication Number:
  US 20110137134A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61M 2202/048 Anaesthetics see also A61M19/00
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method and system for objectively scoring intra-operative pain during general anaesthesia based on the patient'"'"'s mean arterial pressure and heart rate. The index is used for closed-loop control of the intra-operative analgesia through adjustment of the drug infusion level according to fuzzy logic. It is further displayed along with other components of anaesthesia and important patient data on a monitoring display for presentation to medical staff.

Claims

1. A method for displaying an indicator of a current pain level of a patient being administered an analgesic, the method comprising:

providing a display device;

measuring a current mean arterial pressure and heart rate of the patient;

deriving the indicator from said measured current mean arterial pressure and heart rate; and

displaying said derived indicator on said display device.

2. The method of claim 1, wherein said derived indicator is displayed on said display device as numerical data, graphical data, colour coding and combinations thereof.

3. The method of claim 1, wherein desired target values of said mean arterial pressure and said heart rate are determined prior to administering said analgesic and said deriving an indicator comprises comparing said current mean arterial pressure and heart rate to said target values using fuzzy logic rules.

4. The method of claim 1, wherein said derived indicator is defined in a range from a first level to a second level, said first level representing an excessive analgesia level and said second level representing an insufficient analgesia level.

5. The method of claim 4, wherein said range comprises a plurality of predetermined regions, at least a first one of said predetermined regions representing inadequate pain control, at least a second one of said predetermined regions representing good pain control, and at least a third one of said predetermined regions representing excellent pain control.

6. The method of claim 5, further comprising calculating a change in rate of infusion based on said derived indicator, recalculating said change in rate of infusion based on an average change in said derived indicator over time and a current value of said derived indicator, and adjusting a rate of infusion of the analgesic according to said recalculated change in rate of infusion.

7. The method of claim 6, wherein said calculating a change in rate of infusion comprises maintaining said infusion, stopping said infusion, or increasing said infusion according to said predetermined region said derived indicator lies in.

8. The method of claim 6, wherein said recalculating said change in rate of infusion comprises computing a first correction factor representative of a temporal variation of said derived indicator and a second correction factor representative of a current physiological state of the patient and applying said first and second correction factors to said calculated change in rate of infusion.

9. A system for displaying an indicator representative of a current pain level of a patient being administered an analgesic, the system comprising:

a monitoring subsystem for measuring a current mean arterial pressure and heart rate of the patient and deriving the indicator from said measured mean arterial pressure and heart rate; and

a display device coupled to said monitoring subsystem for displaying said derived indicator.

10. The method of claim 9, wherein said display device displays said derived indicator using numerical data, graphical data, colour coding, and combinations thereof.

11. The system of claim 9, wherein said monitoring subsystem comprises a vital sign monitoring system for measuring said current mean arterial pressure and heart rate of the patient.

12. The system of claim 9, further comprising a delivery subsystem coupled to said monitoring subsystem for administering the analgesic to the patient, wherein said monitoring subsystem adjusts a rate of infusion of the analgesic according to said derived indicator and outputs said adjusted rate of infusion to said delivery subsystem.

13. The system of claim 12, wherein said delivery subsystem is an infusion pump.

14. The system of claim 12, wherein said monitoring subsystem adjusts said rate of infusion by calculating a change in rate of infusion based on said derived indicator, recalculating said change in rate of infusion based on an average change in said derived indicator over time and a current value of said derived indicator, and adjusting said rate of infusion according to said recalculated change in rate of infusion.

15. The system of claim 14, wherein desired target values of said mean arterial pressure and said heart rate are determined prior to administering the analgesic and said monitoring subsystem derives the indicator by comparing said current mean arterial pressure and heart rate to said target values using fuzzy logic rules.

16. The system of claim 15, wherein said derived indicator is defined in a range from a first level to a second level, said first level representing an excessive analgesia level and said second level representing an insufficient analgesia level.

17. The system of claim 16, wherein said range comprises a plurality of predetermined regions, at least a first one of said predetermined regions representing inadequate pain control, at least a second one of said predetermined regions representing good pain control, and at least a third one of said predetermined regions representing excellent pain control.

18. The system of claim 17, wherein said monitoring subsystem calculates said change in rate of infusion by maintaining the infusion, stopping the infusion, or increasing the infusion according to said predetermined region said derived indicator lies in.

19. The system of claim 14, wherein said monitoring subsystem recalculates said change in rate of infusion by computing a first correction factor representative of a temporal variation of said derived indicator and a second correction factor representative of a current physiological state of the patient and applying said first and second correction factors to said calculated change in rate of infusion.

20. The system of claim 12, wherein a minimum and a maximum rate of infusion defining a desired range of infusion are determined prior to administering the analgesic and further wherein said monitoring subsystem compares said adjusted rate to said minimum and said maximum rate of infusion and outputs said adjusted rate to said delivery subsystem if said adjusted rate lies within said desired range.

21. A system for displaying a current state of anaesthesia of a patient undergoing surgery, the system comprising:

a first subsystem for measuring a current anaesthetic depth in the patient;

a second subsystem for monitoring a current level of muscular relaxation in the patient;

a third subsystem for deriving an indicator representative of a current pain level of the patient; and

a single display device coupled to said first, second, and third subsystems for simultaneously displaying said current anaesthetic depth, said current level of muscular relaxation and said derived indicator.

22. The system of claim 21, wherein said first subsystem measures said current anaesthetic depth using a method selected from the group consisting of monitoring auditory evoked potentials produced by the patient in response to repetitive audio stimulus, monitoring the bispectral index of the patient, spectral entropy, and combinations thereof.

23. The system of claim 21, wherein said second subsystem monitors said current level of muscular relaxation using a method selected from the group consisting of phonomyography, mechanomyography, electromyography, acceleromyography, cinemyography, and corn binations thereof.

24. The system of claim 21, wherein said third subsystem comprises a vital sign monitoring system for measuring a current mean arterial pressure and heart rate of the patient, further wherein said third subsystem derives said indicator from said measured current mean arterial pressure and heart rate.

25. The system of claim 21, wherein said third subsystem adjusts according to said derived indicator a rate of infusion of an analgesic being administered to the patient to achieve general anaesthesia in the patient.

26. The system of claim 24, wherein said display device is further coupled to said vital sign monitoring system to display said current mean arterial pressure and heart rate.

27. The system of claim 21, wherein said display device displays a first interface for entering configuration parameters comprising of identification information of he patient, a weight of the patient, an age of the patient, an induction mode of said analgesic, a pain level of the surgery, and combinations thereof.

28. The system of claim 27, wherein subsequently to displaying said first interface, said display device displays a second interface representing said current anaesthetic depth, said current level of muscular relaxation and said derived indicator.

29. The system of claim 28, wherein said current anaesthetic depth, said current level of muscular relaxation and said derived indicator are represented on said second interface using numerical data, graphical data, colour coding, and combinations thereof.

30. The system of claim 21 further comprising an alarm subsystem for alerting of at least one difficulty related to the surgery, said alarm subsystem emitting at least one of a plurality of alarm sounds and displaying at least one of a plurality of descriptive messages according to said at least one difficulty.

31. The system of claim 30, wherein according to the urgency of said difficulty said at least one of a plurality of alarm sounds varies in intensity, duration, pattern, and combinations thereof.

32. The system of claim 21, wherein said display device is at least one of a plurality of remote workstations and is coupled to said first, second, and third subsystems via a local communications network.

33. The system of claim 32, wherein said plurality of remote workstations comprises of desktop computers, mobile computers, and mobile communication modules.

34. The system of claim 32, wherein data related to said current anaesthetic depth, said current level of muscular relaxation and said derived indicator is transmitted wirelessly to said at least one of said plurality of remote workstations.