SYSTEM AND METHOD TO DETERMINE SpO2 VARIABILITY AND ADDITIONAL PHYSIOLOGICAL PARAMETERS TO DETECT PATIENT STATUS

• US 20120053433A1
• Filed: 08/18/2011
• Published: 03/01/2012
• Est. Priority Date: 08/24/2010
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Inventors: Chamoun, Nassib G., Sigl, Jeffrey C., Greenwald, Scott D., Manberg, Paul J.
• Application Number:
  US13/212,874
• Publication Number:
  US 20120053433A1
• Time in Patent Office: Days
• US Class Current: 600/324
• 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 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/14553 specially adapted for cerebral tissue
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• 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: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Systems and methods for detecting untoward clinical states (e.g., hypoperfusion) and classifying patient state based on at least one calculated physiological parameter are provided. The patient state classification may be used by a physician to determine patient condition and relative risk to guide decision making during a procedure.

Claims

1. A method for monitoring a patient comprising:

collecting physiological data from a patient using at least one sensor;

delivering the physiological data to a processor to;

calculate at least one physiological parameter based at least in part on the physiological data, and

classify the patient as being in a hypoperfusion state based at least in part on the at least one physiological parameter.

2. The method of claim 1, wherein collecting the physiological data occurs non-invasively.

3. The method of claim 2, wherein calculating at least one physiological parameter includes performing a statistical operation on the physiological data.

4. The method of claim 2, wherein the at least one physiological parameter comprises at least one of SpO2, SpO2 variability, SpO2 Range, EEG, BIS and Mean Arterial Pressure.

5. The method of claim 4, wherein classifying the patient as being in a hypoperfusion state includes comparing the at least one physiological parameter to a parameter threshold.

6. The method of claim 5, wherein the parameter threshold is determined at least in part from population data.

7. The method of claim 5, comprising combining two or more physiological parameters to classify the patient as being in a hypoperfusion state.

8. The method of claim 1, further comprising displaying at least one of an indication of the hypoperfusion state and a physiological parameter on a display.

9. The method of claim 8, comprising displaying said at least one physiological parameter and the indication of hypoperfusion state in real-time.

10. The method of claim 1, further comprising activating an alarm to indicate the patient state classification.

11. The method of claim 1, further comprising determining a patient risk of reaching an endpoint based at least in part on the at least one physiological parameter.

12. A system for monitoring a patient comprising:

at least one sensor capable of collecting physiological data from a patient;

a processor configured to use at least a portion of the physiological data to;

calculate a parameter indicative of the patient'"'"'s oxygen saturation variability based at least in part on the physiological data;

determine a patient state based at least in part on the oxygen saturation variability parameter; and

calculate a risk assessment of the patient based at least in part on the determined patient state; and

a display operative to show said indication of the risk assessment.

13. The system of claim 12, wherein the processor is configured to receive at least one of the patient'"'"'s medical history, demographic information and a population database.

14. The system of claim 12, wherein the risk assessment is calculated from a combination of the patient'"'"'s medical history and a calculated physiological parameter.

15. The system of claim 12, wherein the risk assessment is calculated from a combination of a population databases and a calculated physiological parameter.

16. The system of claim 12, wherein the processor is configured to calculate a reference set from the received input, define a plurality of patient states from the reference set, provide an endpoint, calculate risk parameters associated with the endpoint for each of the plurality of patient states, and calculate a patient state based at least in part on the combination of data, wherein the risk assessment is based at least in part on the calculated patient state and the calculated risks.

17. The system of claim 16, wherein risks are calculated based at least in part on a Cox Regression model.

18. The system of claim 12, wherein the processor is configured to use at least a portion of the physiological data to:

calculate a parameter indicative of the patient'"'"'s brain state based at least in part on the physiological data; and

determine the patient state based at least in part on the brain state parameter, the oxygen saturation variability parameter, and a population database.

19. The system of claim 12, wherein the processor is configured to use at least a portion of the physiological data to:

calculate a parameter indicative of the patient'"'"'s blood pressure;

determine the patient state based at least in part on the blood pressure parameter, the oxygen saturation variability parameter, and a population database.

20. A method for monitoring a patient, comprising:

collecting at least two of SpO2, BIS and MAP data from a patient;

determining a patient state based at least in part on the collected data; and

displaying at least one of the patient state and the collected data on a display.