INDICATION-BASED WORSENING HF ALERT

• US 20100076321A1
• Filed: 09/17/2009
• Published: 03/25/2010
• Est. Priority Date: 09/19/2008
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Stahmann, Jeffrey E., Zhang, Yi
• Granted Patent: US 8,469,898 B2
• Time in Patent Office: Days
• US Class Current: 600/483
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• 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 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• 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 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/4878 Evaluating oedema
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• 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: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 7/02 : Stethoscopes acoustic details thereof G10K11/00
• 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

This document discusses, among other things, receiving a user selection of a heart failure symptom, receiving a user selection of an abnormal psychological condition, receiving information about a physiological patient status parameter, and determining a heart failure status using the received information.

Claims

1. A system, comprising:

a user input configured to;

receive a user selection of a heart failure symptom to indicate whether a heart failure symptom is or has been present, wherein the heart failure symptom includes at least one of dyspnea, edema, or weight change; and

receive a user selection of an abnormal psychological condition to indicate whether an abnormal psychological condition is or has been present; and

a heart failure (HF) status processor, coupled to the user input, the HF status processor configured to determine a heart failure status using information about the user selection of the heart failure symptom, information about the user selection of the abnormal psychological condition, and information from a physiological patient status parameter detector.

2. The system of claim 1, comprising a heart failure (HF) status indicator configured to provide a heart failure status indication using information from the HF status processor.

3. The system of claim 2, wherein the HF status processor is configured to controllably adjust at least one of a sensitivity, a specificity, a positive predictive value, or a negative predictive value of the heart failure condition determination using information about the user selections of the heart failure symptom and the abnormal psychological condition.

4. The system of claim 1, wherein the abnormal psychological condition includes at least one of anxiety, stress, or depression.

5. The system of claim 4, wherein the HF status processor is configured to increase a likelihood of an indication of a worsening heart failure condition when the user selection indicates that the abnormal psychological condition is or has been present.

6. The system of claim 1, comprising the physiological patient status parameter detector;

and

wherein the HF status processor is configured to detect the heart failure symptom, the abnormal psychological condition, or a heart failure comorbidity using information from the physiological patient status parameter detector without requiring at least one of the user selection of the heart failure symptom, the user selection of the abnormal psychological condition, or a user selection of the heart failure comorbidity.

7. A method, comprising:

receiving a user selection of a heart failure symptom to indicate whether a heart failure symptom is or has been present, wherein the heart failure symptom includes at least one of dyspnea, edema, or weight change;

receiving a user selection of an abnormal psychological condition to indicate whether an abnormal psychological condition is or has been present;

receiving information about a first physiological patient status parameter; and

determining a heart failure status using information about;

the user selection of the heart failure symptom;

the user selection of the abnormal psychological condition; and

the first physiological patient status parameter.

8. The method of claim 7, comprising providing a heart failure status indication using information about the heart failure status.

9. The method of claim 8, comprising:

wherein the determining the heart failure status comprises;

adjusting at least one of a sensitivity, a specificity, a positive predictive value, or a negative predictive value of a worsening heart failure condition determination using information about the user selections of the heart failure symptom and the abnormal psychological condition; and

determining a worsening heart failure condition using information about the first physiological patient status parameter; and

wherein the providing the heart failure status indication includes providing the worsening heart failure condition.

10. The method of claim 9, wherein the determining the worsening heart failure condition comprises increasing the sensitivity of the determining when the user selection indicates that the abnormal psychological condition is or has been present.

11. The method of claim 10, wherein the abnormal psychological condition includes at least one of anxiety, stress, or depression.

12. The method of claim 7, wherein the receiving the first physiological patient status parameter includes receiving at least one of a heart rate, a respiration rate, a respiration timing, a blood pressure, a lung tidal volume, a physical activity level, a weight, an intrathoracic impedance, a heart sound timing, or a heart sound magnitude.

13. The method of claim 12, wherein the receiving the user selection of the heart failure symptom includes receiving a user selection indicating that edema is or has been present;

and

wherein the receiving the first physiological patient status parameter includes receiving the intrathoracic impedance.

14. The method of claim 12, wherein the receiving the user selection of the heart failure symptom includes receiving a user selection indicating that dyspnea is or has been present;

and

wherein the receiving the first physiological patient status parameter includes receiving at least one of the respiration rate, the respiration timing, the lung tidal volume, or the physical activity level.

15. The method of claim 7, wherein the determining the heart failure status includes controllably adjusting the heart failure status determination, the controllably adjusting comprising:

adjusting a first weight for the information about the first physiological patient status parameter relative to a second weight for the information about a different second physiological patient status parameter; and

using the information obtained from the first and second physiological patient status parameters in conjunction with the first and second weights.

16. The method of claim 7, wherein the receiving the user selection of the abnormal psychological condition includes receiving a user selection indicating that depression is or has been present;

and

wherein the determining the heart failure status includes controllably adjusting the heart failure status determination, the controllably adjusting comprising increasing an effect of respiration-related information on the heart failure status determination in response to the user selection.

17. The method of claim 7, wherein the receiving the user selection of the heart failure symptom includes receiving a user selection indicating that edema is or has been present;

and

wherein the determining the heart failure status includes controllably adjusting the heart failure status determination, the controllably adjusting comprising increasing an effect of intrathoracic impedance information on the heart failure status determination in response to the user selection.

18. The method of claim 7, wherein the receiving the user selection of the heart failure symptom includes receiving a user selection indicating that dyspnea is or has been present;

and

wherein the determining the heart failure status includes controllably adjusting the heart failure status determination, the controllably adjusting comprising increasing an effect of at least one of respiration rate information, respiration timing information, heart rate information, lung tidal volume information, or physical activity level information in response to the user selection.

19. The method of claim 7, comprising:

receiving a user selection of a heart failure (HF) comorbidity to indicate whether an HF comorbidity is or has been present; and

wherein the determining the heart failure status comprises using information about the user selection of the HF comorbidity.

20. The method of claim 7, comprising:

detecting at least one of the heart failure symptom, the abnormal psychological condition, or a heart failure comorbidity using information about the first physiological patient status parameter.