System and method for detecting worsening of heart failure based on rapid shallow breathing index

• US 9,743,889 B2
• Filed: 08/04/2014
• Issued: 08/29/2017
• Est. Priority Date: 08/05/2013
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Zhang, Yi, Averina, Viktoria A., Beck, Kenneth C., Thakur, Pramodsingh, Wariar, Ramesh
• Primary Examiner(s): Luong, Peter
• Application Number:
  US14/450,728
• Publication Number:
  US 20150038854A1
• Time in Patent Office: 1,121 Days
• CPC Class Codes: A61B 5/0082 adapted for particular medical purposes
• 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 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/091 Measuring volume of inspired or expired gases, e.g. to determine lung capacity
• CPC Class Codes: A61B 5/113 occurring during breathing
• 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: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• 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 a worsening of patient'"'"'s heart failure condition based, at least in part, on an increasing trend in a representative rapid shallow breathing index (RSBI) value over multiple days. The RSBI value may be a minimum RSBI, and more particularly may be a minimum RSBI value determined for an afternoon portion of each of the multiple days. The minimum RSBI value measured during an afternoon portion of the day may be more sensitive to changes in a patient'"'"'s respiration, particularly when a patient is expected to be more active, and thus, may more readily exhibit an increasing trend when patient'"'"'s heart failure is in decline.

Claims

1. A system for monitoring a progression of heart failure in a patient, the system comprising:

a sensor configured to provide one or more signals indicative of respiration of a patient;

circuitry coupled to the sensor, the circuitry configured to;

determine a plurality of respiration rate and tidal volume measurements during each of a plurality of twenty-four hour periods using the one or more signals indicative of the respiration of the patient;

determine a rapid shallow breathing index (RSBI) value for a selected portion of each of a plurality of the twenty-four hour periods based, at least in part, on one or more of the corresponding plurality of the respiration rate and tidal volume measurements;

determine a first RSBI aggregate based, at least in part, on the RSBI values that fall within a first time window having a first duration;

determine a second RSBI aggregate based, at least in part, on the RSBI values that fall within a second time window having a second duration, wherein the first duration is different than the second duration;

determine a relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window; and

an output coupled to the circuitry for providing an output signal indicative of an HF status of the patient based, at least in part, on the determined relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window,

wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are determined, in part, by a ratio between the corresponding plurality of respiration rate and tidal volume measurements, and wherein the RSRI aggregates for the selected portion of each of the plurality of twenty-four hour period are defined by a minimum or a lower percentile of the plurality of the ratios between the corresponding plurality of respiration rate measurements and the corresponding plurality of tidal volume measurements.

2. The system according to claim 1, wherein the sensor comprises at least one of an impedance sensor, a capacitance sensor, an accelerometer, a displacement sensor, an optical sensor and a pressure sensor.

3. The system according to claim 1, wherein the relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window is determined by subtracting the first RSBI aggregate determined for the first time window from the second RSBI aggregate determined for the second time window.

4. The system according to claim 1, wherein the relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window is characterized by determining a fractional difference between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window.

5. The system according to claim 1, wherein the first duration and second duration are measured in a number of twenty-four hour periods.

6. The system according to claim 1, wherein the first time window and the second time window do not overlap.

7. The system according to claim 1, wherein the selected portion of each of the twenty-four hour periods corresponds to an afternoon portion, a morning portion, or an evening portion.

8. The system according to claim 1, wherein the selected portion of each of the twenty-four hour periods corresponds to a morning portion and an afternoon portion.

9. The system according to claim 1, wherein the selected portion of each of the twenty-four hour periods excludes a period when the patient is asleep.

10. The system according to claim 1, wherein the first and second RSBI aggregates are defined by a ratio between a minimum respiration rate and a maximum tidal volume.

11. The system according to claim 1, wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are defined by a ratio between a lower value of the corresponding plurality of respiration rate measurements and an upper value of the corresponding plurality of tidal volume measurements.

12. A system for monitoring a progression of heart failure in a patient, the system comprising:

a sensor configured to detect respiration in a patient and configured to generate signals indicative of the patient'"'"'s respiration over multiple twenty-four hour periods,

circuitry coupled to the sensor, the circuitry configured to;

determine a plurality of respiration rate and tidal volume measurements for each of multiple twenty-four hour periods using the signals indicative of the respiration of the patient;

determine a representative RSBI value for a selected portion of each of the multiple twenty-four hour periods based, at least in part, on the corresponding plurality of respiration rate and tidal volume measurements;

determine a first RSBI aggregate based, at least in part, on the RSBI values that fall within a first time window having a first duration;

determine a second RSBI aggregate based, at least in part, on the RSBI values that fall within a second time window having a second duration, wherein the first duration is different than the second duration;

determine a relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window; and

an output coupled to the circuitry for providing an output signal indicative of a current heart failure status of the patient based on a change in the representative RSBI value over multiple twenty-four hour periods,

wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are determined, in part, by a ratio between the corresponding plurality of respiration rate and tidal volume measurements, and wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are defined by a minimum or a lower percentile of the plurality of the ratios between the corresponding plurality of respiration rate measurements and the corresponding plurality of tidal volume measurements.

13. The system according to claim 12, wherein the circuitry is configured to determine a representative RSBI value based on a lower value of the plurality of respiration rate measurements and an upper value of plurality of tidal volume measurements for the selected portion of each of the multiple twenty-four hour periods.

14. The system according to claim 12, wherein the circuitry is configured to determine a representative RSBI value based on a lower value of a plurality of the ratios between the corresponding plurality of respiration rate measurements and the corresponding plurality of tidal volume measurements for the selected portion of each of the multiple twenty-four hour periods.

15. The system according to claim 12, wherein the change in the representative RSBI value is determined based on a difference between a long term aggregate of the representative RSBI value and a short term aggregate of the representative RSBI value.

16. The system according to claim 12, wherein the selected portion corresponds to at least one of a morning portion, an afternoon portion and an evening portion of each of the multiple twenty-four hour periods.

17. A method of determining a progression of heart failure in a patient, the method comprising:

detecting respiration in a patient over multiple twenty-four hour periods using a sensor;

the sensor generating signals indicative of the respiration of the patient over the multiple twenty-four hour periods;

determining a plurality of respiration rate measurements and tidal volume measurements for each of the multiple twenty-four hour periods using the signals indicative of the respiration of the patient;

determining a representative RSBI value for a selected portion of each of the multiple twenty-four hour periods based, at least in part, on the corresponding plurality of respiration rate measurements and tidal volume measurements;

determining a first RSBI aggregate based, at least in part, on the RSBI values that fall within a first time window having a first duration;

determining a second RSBI aggregate based, at least in part, on the RSBI values that fall within a second time window having a second duration, wherein the first duration is different than the second duration;

determining a relationship between the first RSBI aggregate determined for the first time window and the second RSBI aggregate determined for the second time window; and

generating an output signal indicative of a current heart failure status of the patient based on a change in the representative RSBI value over multiple twenty-four hour periods,

wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are determined, in part, by a ratio between the corresponding plurality of respiration rate and tidal volume measurements, and wherein the RSBI aggregates for the selected portion of each of the plurality of twenty-four hour period are defined by a minimum or a lower percentile of the plurality of the ratios between the corresponding plurality of respiration rate measurements and the corresponding plurality of tidal volume measurements.

18. The method according to claim 17, wherein the selected portion of each of the multiple twenty-four hour periods excludes a period when the patient is asleep.