Techniques for Correlating Thoracic Impedance with Physiological Status

• US 20080091114A1
• Filed: 12/29/2006
• Published: 04/17/2008
• Est. Priority Date: 10/11/2006
• Status: Abandoned Application

• Current Assignee: Pacesetter Incorporated (Abbott Laboratories)
• Original Assignee: Pacesetter Incorporated (Abbott Laboratories)
• Inventors: Min, Xiaoyi, Levine, Paul A., Ostrow, Eliot L.
• Application Number:
  US11/618,266
• Publication Number:
  US 20080091114A1
• Time in Patent Office: Days
• US Class Current: 600/508
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/4869 Determining body composition
• CPC Class Codes: A61N 1/36521 the parameter being derived from measurement of an electrical impedance
• CPC Class Codes: A61N 1/36535 controlled by body position or posture
• CPC Class Codes: A61N 1/36542 controlled by body motion, e.g. acceleration
• CPC Class Codes: A61N 1/36585 controlled by two or more physical parameters

Abstract

Exemplary techniques for correlating thoracic impedance values with physiological status are described. One technique involves an implantable medical device (IMD) that includes means for correlating thoracic impedance values with a patient'"'"'s physiological status and means for interpreting the correlated thoracic impedance values utilizing a patient-based threshold to detect a heart failure condition.

Claims

1. An implantable medical device (IMD) comprising:

a mechanism operable to monitor patient postures;

a mechanism operable to monitor patient thoracic impedance values;

a mechanism to correlate individual postures with individual thoracic impedance values; and

,

a mechanism to detect heart failure from the correlated individual postures and individual thoracic impedance values in view of a patient condition prior to implantation of the IMD.

2. The IMD of claim 1, wherein the mechanism to detect compares a difference between thoracic impedance measurements associated with a first posture and different thoracic impedance measurements associated with a second posture.

3. The IMD of claim 1, wherein the mechanism to detect calculates an average thoracic impedance value associated with a horizontal posture for an individual day of a plurality of days and compares the average for the individual day to averages for other days of the plurality of days.

4. The IMD of claim 1, wherein the patient condition comprises pulmonary edema.

5. The IMD of claim 4, wherein the mechanism to detect utilizes a scaling factor that takes into account an incidence of pulmonary edema prior to implantation.

6. The IMD of claim 5, wherein the scaling factor comprises a weighting coefficient.

7. The IMD of claim 6, wherein the weighting coefficient is based upon patient information including echo parameters obtained in proximity to implantation of the implantable medical device.

8. An implantable medical device (IMD) comprising:

a mechanism operative to determine when a patient is in a supine posture;

a mechanism operative to measure thoracic impedance values when the patient is in the supine posture; and

,

a mechanism operative to determine an average thoracic impedance value from the measured thoracic impedance values for a first day and an average thoracic impedance value for a second day and to compare the averages to detect heart failure in the patient.

9. The IMD of claim 8, wherein the mechanism operative to determine compares the averages in light of a patient-based threshold and detects when a difference between the averages exceeds the patient-based threshold.

10. The IMD of claim 8, wherein the mechanism operative to determine excludes thoracic impedance values measured within a pre-defined period of time after the patient assumes the supine posture.

11. An implantable medical device (IMD) comprising:

means for correlating thoracic impedance values with a patient'"'"'s physiological status; and

,

means for interpreting the correlated thoracic impedance values utilizing a patient-based threshold to detect a heart failure condition.

12. The IMD of claim 11, wherein the means for correlating is configured to correlate the thoracic impedance values with at least two different aspects of the patient'"'"'s physiological status.

13. The IMD of claim 12, wherein the at least two different aspects comprise patient posture and activity level.

14. The IMD of claim 11, wherein the patient'"'"'s physiological status comprises patient posture.

15. The IMD of claim 14, wherein the means for correlating is configured to receive posture data from at least two posture sensing mechanisms.

16. The IMD of claim 14, wherein the means for correlating is configured to determine patient posture based upon one or more of:

sensed posture data and time of day.

17. The IMD of claim 14, wherein the means for interpreting is operable to calculate a first daily average thoracic impedance value when the patient is in an upright posture and a second daily average thoracic impedance value when the patient is in a supine posture and to determine if a difference between the first and second averages exceeds the patient-based threshold.

18. The IMD of claim 11 further comprising a means for determining a difference between a first daily average thoracic impedance value when the patient is in an upright posture and a second daily average thoracic impedance value when the patient is supine and a means for notification if a difference between the first and second averages exceeds the patient-based threshold.

19. The IMD of claim 11 further comprising means for detecting a first daily average thoracic impedance value when the patient is in a upright posture and a second daily average thoracic impedance value when the patient is supine and a means for determining a difference between the first and second averages.

20. The IMD of claim 19 further comprising means for adjusting one or more parameters of the IMD in an instance where the difference between the first and second averages exceeds the patient-based threshold in an effort to improve cardiac function.

21. The IMD of claim 20, wherein the one or more parameter comprises one of:

pacing rate and pacing AV delays.

22. A computer-implemented method comprising:

sensing thoracic impedance values from a patient;

determining the patient'"'"'s posture;

correlating the patient'"'"'s posture and the thoracic impedance values to calculate a first average thoracic impedance for a first posture and a second average impedance for a second posture; and

,

detecting a pulmonary edema condition of the patient by comparing the first average to the second average.

23. The computer-implemented method as recited in claim 22, wherein the determining comprises monitoring times when the patient normally sleeps and receiving signals from a posture sensor.

24. The computer-implemented method as recited in claim 22, wherein the correlating excludes thoracic impedence values that occur within a pre-defined period after a change in posture is detected.

25. The computer-implemented method as recited in claim 22, wherein the correlating comprises determining a difference between the first average and the second average.

26. The computer-implemented method as recited in claim 25, wherein the sensing, determining, and correlating are repeated for a plurality of individual days effective to determine the difference for individual days and wherein the detecting a pulmonary edema condition comprises comparing the difference for each of the plurality of individual days.

27. The computer-implemented method as recited in claim 22, wherein the sensing comprises sensing thoracic impendence values with an implanted medical device (IMD) and wherein the detecting a pulmonary edema condition further comprises considering a patient condition prior to implantation of the IMD.

28. The computer-implemented method as recited in claim 27, wherein the considering comprises weighting the averages with clinical parameters established prior to implantation of the IMD.

29. The computer-implemented method as recited in claim 22, wherein the detecting comprises generating a patient-based threshold based upon patient information and determining whether a difference between the first and second averages exceeds the patient-based threshold.

30. A computer-readable media that when stored on an implantable medical device (IMD) causes the IMD to perform acts comprising:

for individual days, correlating patient posture and thoracic impedance values to determine a first average thoracic impedance value for a generally horizontal patient posture and a second average thoracic impedance value for a generally vertical patient posture, and for individual days calculating a difference between the first average thoracic impedance value and the second average thoracic impedance value; and

,

tracking changes to the difference over a plurality of days to detect a pulmonary edema condition of the patient.

31. The computer-readable media as recited in claim 30, wherein the correlating excludes thoracic impedance values for a predetermined period of time after a posture change occurs.

32. The computer-readable media of claim 30, wherein the tracking changes comprises detecting instances when the first average thoracic impedance value decreases from day to day while the second average thoracic impedance value remains relatively constant from day to day.

33. The computer-readable media of claim 30, wherein the tracking changes comprises generating a patient-based threshold based upon information obtained from the patient prior to the individual days and tracking whether the difference exceeds the patient-based threshold.

34. A method comprising:

obtaining patient information prior to a sample period where thoracic impedance values are measured;

generating an individualized patient-based threshold utilizing the patient information; and

,

interpreting the thoracic impedance values from the sample period in light of the individualized patient-based threshold.

35. The method of claim 34, wherein the obtaining comprises obtaining patient information prior to implantation of an implantable medical device (IMD), and wherein the thoracic impedance values are measure by the IMD.

36. The method of claim 34, wherein the obtaining comprises obtaining patient information during implantation of an implantable medical device (IMD), and wherein the thoracic impedance values are measure by the IMD.

37. The method of claim 34, wherein the obtaining comprises obtaining patient information after implantation of an implantable medical device (IMD) and before the sample period.

38. The method of claim 34 further comprising correlating the thoracic impedance values with patient postures.