Determining prospective risk of heart failure hospitalization

Patent metadata

Field	Value
Publication number	US-10172568-B2
Application number	US-201514798225-A
Country	US
Kind code	B2
Filing date	Jul 13, 2015
Priority date	Jul 14, 2014
Publication date	Jan 8, 2019
Grant date	Jan 8, 2019

Abstract

A method of operation of a medical device system for determining prospective heart failure hospitalization risk. The method includes measuring one or more data observations via one or more electrodes of an implanted medical device disposed in a patient's body. The data observations are stored into memory of the implantable medical device of a patient. The data observations are transmitted to an external device. The processor of the external device parses the data observations into one or more evaluation periods. Using the number of observations in one or more evaluation periods, a look up table, stored into memory of the external device, is accessed. The look up table associates prospective heart failure hospitalization risk with the data observations noted in the evaluation period. One or more embodiments involve a weighted prospective heart failure hospitalization risk for the set of evaluation periods. The prospective heart failure hospitalization is then displayed on the graphical user interface.

First claim

The invention claimed is:

1. A method of operation of a medical system for determining prospective heart failure hospitalization risk, the method comprising:
(a) acquiring from a device memory a heart failure patient's current evaluation period and a preceding evaluation period;
(b) counting detected data observations in the current evaluation period for a current evaluation total amount and counting detected data observations in the preceding evaluation period for a preceding evaluation period total amount;
(c) associating the current evaluation and preceding evaluation total amounts with a lookup table to acquire prospective risk of heart failure hospitalization (HFH) for the preceding evaluation period and the current evaluation period;
(d) employing weighted sums of the prospective risk of HFH for the preceding evaluation period and the current evaluation period to calculate a weighted prospective risk of HFH for a patient;
(e) displaying on a graphical user interface the weighted prospective risk of HFH for the patient;
(f) using the prospective risk to modify therapy delivered by an implantable device; and
(g) delivering the modified therapy to the patient using the implantable device.

2. The method of claim 1 wherein the lookup table comprises a set of data observations categories and for each said category a stored ratio, wherein each said data observations category defines a total number of group data evaluation periods each having a defined same number or falling within a same range of numbers of data observations from a population of patients therein, and wherein the stored ratio for each said data observations category comprises a ratio of heart failure hospitalizations associated with the said data observations category to the total number of group evaluation periods within the said data observation category.

3. The method of claim 1 wherein the implanted device is used to obtain the data observations within one of the preceding evaluation period and the current evaluation period.

4. The method of claim 1 further comprising:
using the prospective risk to switch from a pacing therapy delivered by the implantable device to another pacing therapy.

5. The method of claim 4
wherein the another pacing therapy is one of biventricular pacing, fusion pacing and multisite pacing during a single cardiac cycle along a single chamber.

6. The method of claim 1 further comprising:
using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to the patient.

7. The method of claim 6 , wherein the agent is a drug.

8. The method of claim 1 further comprising:
using the lookup table to prospectively evaluate patient HFH risk based on an observation category that is applicable to one of the preceding evaluation period and the current evaluation period.

9. The method of claim 1 further comprising:
selecting a weighting factor to be applied to the preceding and the current evaluation periods.

10. The method of claim 1 wherein the preceding evaluation period is weighted differently than the current period.

11. The method of claim 1 , wherein a first weighting factor is applied to the preceding evaluation period and a second weighting factor larger than the first weighting factor is applied to the current evaluation period.

12. The method of claim 1 wherein a weighting factor for the current evaluation period ranges from 0 up to 0.9.

13. The method of claim 1 wherein a weighting factor for the preceding evaluation period ranges from 0 up to 0.5.

14. The method of claim 1 wherein the heart failure hospitalization risk is predicted for a prospective time period of up to 30 days.

15. The method of claim 1 wherein the detected data observations are one of an intrathoracic impedance, a thoracic fluid index, an atrial fibrillation duration after cardioversion therapy, a heart rate variability, an elevation of ventricular rate during persistent atrial fibrillation, an elevation of night heart rate, and a cardiac resynchronization therapy percentage.

16. A medical system for determining prospective heart failure hospitalization risk, the system comprising:
(a) means for acquiring from a device memory a heart failure patient's current evaluation period and a preceding evaluation period;
(b) means for counting detected data observations in the current evaluation period for a current evaluation total amount and counting detected data observations in the preceding evaluation period for a preceding evaluation period total amount;
(c) means for associating the current evaluation and preceding evaluation total amounts with a lookup table to acquire prospective risk of heart failure hospitalization (HFH) for the preceding evaluation period and the current evaluation period;
(d) means for employing weighted sums of the prospective risk of HFH for the preceding evaluation period and the current evaluation period to calculate a weighted prospective risk of HFH for a patient;
(e) means for displaying on a graphical user interface the weighted prospective risk of HFH for the patient;
(f) modifying means for using the prospective risk to modify therapy delivered by an implantable device; and
(g) an implantable device comprising means for delivering the modified therapy responsive to the modifying means.

17. The system of claim 16 wherein the lookup table comprises a set of data observations categories and for each said category a stored ratio, wherein each said data observations category defines a total number of group data evaluation periods each having a defined same number or falling within a same range of numbers of data observations from a population of patients therein, and wherein the stored ratio for each said data observations category comprises a ratio of heart failure hospitalizations associated with the said data observations category to the total number of group evaluation periods within the said data observation category.

18. The system of claim 16 wherein the implanted device is used to obtain the data observations within one of the preceding evaluation period and the current evaluation period.

19. The system of claim 16 further comprising:
means for using the prospective risk to switch from a pacing therapy delivered by the implantable device to another pacing therapy.

20. The system of claim 16 further comprising:
means for using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to the patient.

21. The system of claim 16 further comprising:
means for using the lookup table to prospectively evaluate patient HFH risk based on observation category that is applicable to one of the preceding evaluation period and the current evaluation period.

Assignees

• Medtronic Inc

Inventors

• Sharma Vinod
• Warman Eduardo N
• Kleckner Karen J

Classifications

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• A61B5/0537

  Measuring body composition by impedance, e.g. tissue hydration or fat content · CPC title

• A61B5/4836

  Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

• A61B5/14532

  for measuring glucose, e.g. by tissue impedance measurement · CPC title

• A61B5/7275 Primary

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title