Using biomarker information for heart failure risk computation
Provided is a method, system and/or apparatus for determining prospective heart failure event risk. Acquired from a device memory are a heart failure patient's current and preceding risk assessment periods. Counting detected data observations in the current risk assessment period for a current risk assessment total amount and counting detected data observations in the preceding risk assessment period for a preceding risk assessment period total amount. Associating the current risk assessment and preceding risk assessment total amounts with a lookup table to acquire prospective risk of heart failure (HF) event for the preceding risk assessment period and the current risk assessment period. Employing weighted sums of the prospective risk of the HF event for the preceding risk assessment period and the current risk assessment period to calculate a weighted prospective risk of the HF event for a patient. Displaying on a graphical user interface the weighted prospective risk of the HF event for the patient.
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 data observations collected during an evaluation period;
(b) counting the collected data observations to provide a counted total amount of data observations;
(c) generating, using a lookup table, a prospective risk of heart failure hospitalization based on the counted total amount of data observations, the lookup table comprising a set of data observation categories, each data observation category comprising:
a defined number of data observations or a defined range of data observations; and
a stored heart failure hospitalization risk determined based on a total amount of heart failure hospitalizations counted during a plurality of reference periods from a population of patients, each reference period comprising:
a number of reference data observations collected during the reference period from a patient of the population of patients; and
a number of heart failure hospitalizations of the patient of the population of patients during the reference period;
(d) employing the generated prospective risk to modify a therapy delivered by an implantable device; and
(e) delivering the modified therapy to the heart failure patient using the implantable device.
2 . The method of claim 1 wherein the stored heart failure hospitalization risk of each said data observation category comprises a stored ratio, and wherein the stored ratio for each said data observation category comprises a ratio of the total amount of heart failure hospitalizations counted during the plurality of reference periods to a total number of reference periods in the plurality of reference periods.
3 . The method of claim 2 wherein the implantable device is used to collect the data observations within the evaluation period.
4 . The method of claim 2 wherein employing the prospective risk to modify the therapy delivered by the implantable device comprises using the prospective risk to switch from a first pacing therapy delivered by the implantable device to a second pacing therapy.
5 . The method of claim 4 wherein the second pacing therapy comprises one or more of biventricular pacing, fusion pacing, and multisite pacing.
6 . The method of claim 2 wherein employing the prospective risk to modify therapy delivered by an implantable device comprises using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to a patient.
7 . The method of claim 2 wherein the detected data observations comprise at least 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.
8 . The method of claim 2 wherein the collected data observations comprise a biochemical marker.
9 . The method of claim 8 , wherein the biochemical marker comprises at least one of brain natriuretic peptide (BNP) and NT-proBNP, creatinine, serum K+, serum Na+, hemoglobin/hematocrit, calcium, creatine phosphokinase, troponin, glucose, blood urea nitrogen (BUN), or cystatin C.
10 . The method of claim 1 wherein the implantable device is used to collect the data observations within the evaluation period.
11 . The method of claim 1 wherein employing the prospective risk to modify the therapy delivered by the implantable device comprises using the prospective risk to switch from a first pacing therapy delivered by the implantable device to a second pacing therapy.
12 . The method of claim 11 wherein the second pacing therapy comprises one or more of biventricular pacing, fusion pacing, and multisite pacing.
13 . The method of claim 1 wherein employing the prospective risk to modify therapy delivered by an implantable device comprises using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to a patient.
14 . The method of claim 1 wherein the detected data observations comprise at least 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.
15 . The method of claim 1 wherein the collected data observations comprise a biochemical marker.
16 . The method of claim 15 wherein the biochemical marker comprises at least one of brain natriuretic peptide (BNP) and NT-proBNP, creatinine, serum K+, serum Na+, hemoglobin/hematocrit, calcium, creatine phosphokinase, troponin, glucose, blood urea nitrogen (BUN), or cystatin C.
17 . 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 data observations collected during an evaluation period;
(b) means for counting the collected data observations to provide a counted total amount of data observations;
(c) means for generating, using a lookup table, a prospective risk of heart failure hospitalization based on the counted total amount of data observations, the lookup table comprising a set of data observation categories, each data observation category comprising:
a defined number of data observations or a defined range of data observations; and
a stored heart failure hospitalization risk determined based on a total amount of heart failure hospitalizations counted during a plurality of reference periods from a population of patients, each reference period comprising:
a number of reference data observations collected during the reference period from a patient of the population of patients; and
a number of heart failure hospitalizations of the patient of the population of patients during the reference period;
(d) modifying means for using the generated prospective risk to modify a therapy delivered by an implantable device; and
(e) an implantable device comprising means for delivering the modified therapy responsive to the modifying means.
18 . The system of claim 17 wherein the stored heart failure hospitalization risk of each said data observation category comprises a stored ratio, and wherein the stored ratio for each said data observation category comprises a ratio of the total amount of heart failure hospitalizations counted during the plurality of reference periods to the total number of reference periods in the plurality of reference periods.
19 . The system of claim 18 wherein the implantable device is used to collect the data observations.
20 . The system of claim 18 wherein the modifying means comprises means for using the prospective risk to switch from a first pacing therapy delivered by the implantable device to a second pacing therapy.
21 . The system of claim 20 wherein the second pacing therapy comprises one or more of biventricular pacing, fusion pacing, and multisite pacing.
22 . The system of claim 18 wherein the modifying means comprises means for using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to a patient.
23 . The system of claim 18 wherein the detected data observations comprise at least 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.
24 . The system of claim 18 wherein the collected data observations comprise a biochemical marker.
25 . The system of claim 24 wherein the biochemical marker comprises at least one of brain natriuretic peptide (BNP) and NT-proBNP, creatinine, serum K+, serum Na+, hemoglobin/hematocrit, calcium, creatine phosphokinase, troponin, glucose, blood urea nitrogen (BUN), or cystatin C.
26 . The system of claim 17 wherein the implantable device is used to collect the data observations.
27 . The system of claim 17 wherein the modifying means comprises means for using the prospective risk to switch from a first pacing therapy delivered by the implantable device to a second pacing therapy.
28 . The system of claim 27 wherein the second pacing therapy comprises one or more of biventricular pacing, fusion pacing and multisite pacing.
29 . The system of claim 17 wherein the modifying means comprises means for using the prospective risk to modify therapy delivered by administering an agent or adjusting an agent delivered to a patient.
30 . The system of claim 17 wherein the detected data observations comprise at least 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.
31 . The system of claim 17 wherein the collected data observations comprise a biochemical marker.
32 . The system of claim 31 wherein the biochemical marker comprises at least one of brain natriuretic peptide (BNP) and NT-proBNP, creatinine, serum K+, serum Na+, hemoglobin/hematocrit, calcium, creatine phosphokinase, troponin, glucose, blood urea nitrogen (BUN), or cystatin C.