Determining prospective risk of heart failure hospitalization
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.
1. A method of operation of a medical system for determining prospective heart failure hospitalization (HFH) risk, the method comprising:
providing one or more implantable sensors to detect one or more patient metrics;
detecting, using the one or more implantable sensors, the one or more patient metrics;
determining, using a computing device in communication with the implantable sensors, a number of an individual heart failure patient's detected data observations during an individual evaluation period, the detected data observations comprising a number of times each of the one or more patient metrics detected by the one or more implantable sensors exceeds a representative value, the one or more detected patient metrics comprising one or more of an atrial tachycardia/atrial fibrillation (AT/AF) daily burden, a time in AT/AF, a night heart rate (NHR), an intrathoracic impedance, a thoracic impedance, heart rate variability, ventricular intrinsic pacing rate, atrial intrinsic pacing rate, heart rate, respiration rates, tidal volume, an atrial defibrillation duration, a ventricular contraction rate during atrial fibrillation, a cardiac resynchronization therapy percentage, a mean ventricular rate during AT/AF, and a V rate;
employing, using the computing device, a lookup table to determine prospective heart failure hospitalization risk based upon the determined number of the detected data observations during the said individual evaluation period;
displaying, on a graphical user interface in communication with the computing device, the prospective risk of HFH;
using the prospective risk to suggest a therapy;
displaying on the graphical user interface the therapy or transmitting the therapy;
using the prospective risk to modify therapy delivered by an implantable medical device; and
delivering the modified therapy to the patient using the implantable medical device;
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 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 observations category.
2. A method of operation of a medical system for determining prospective heart failure hospitalization (HFH) risk, the method comprising:
providing one or more implantable sensors to detect one or more patient metrics;
detecting, using the implantable sensors, the one or more patient metrics;
determining, using a computing device in communication with the implantable sensors, a number of an individual heart failure patient's detected data observations during an individual evaluation period, the number of detected data observations being determined without regard as to a type of detected data observations, the detected data observations comprising a number of times each of the one or more patient metrics detected by the one or more implantable sensors exceeds a representative value, the one or more detected patient metrics comprising one or more of an atrial tachycardia/atrial fibrillation (AT/AF) daily burden, a time in AT/AF, an NHR, an intrathoracic impedance, a thoracic impedance, heart rate variability, ventricular intrinsic pacing rate, atrial intrinsic pacing rate, heart rate, respiration rates, tidal volume, an atrial defibrillation duration, a ventricular contraction rate during atrial fibrillation, a cardiac resynchronization therapy percentage, a mean ventricular rate during AT/AF, and a V rate;
employing, using the computing device, a lookup table to determine prospective heart failure hospitalization risk based upon the determined number of detected data observations during the said individual evaluation period;
displaying on a graphical user interface the prospective risk of HFH;
using the prospective risk to suggest a therapy;
displaying, on the graphical user interface in communication with the computing device, the therapy or transmitting the therapy;
using the prospective risk to modify therapy delivered by an implantable medical device; and
delivering the modified therapy to the patient using the implantable medical device;
wherein the lookup table comprises a set of data observations categories and for each said category a stored ratio; and
wherein each said data observations category defines a total number of group data evaluation periods each having a defined same number of data observations from a population of patients therein.
3. The method of claim 2 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.
4. A medical system for determining prospective heart failure hospitalization risk (HFH), the system comprising:
an implantable medical device;
one or more implantable sensors to detect one or more patient metrics;
a graphical user interface to display a prospective risk of HFH;
a telemetry module; and
a computing device in communication with each of the graphical user interface, the telemetry module, the implantable sensors, and the implantable medical device, the computing device configured to:
detect, using the implantable sensors, the one or more patient metrics;
determine a number of an individual heart failure patient's detected data observations during an individual evaluation period, the detected data observations comprising a number of times each of the one or more patient metrics detected by the one or more implantable sensors exceeds a representative value, the one or more detected patient metrics comprising one or more of an atrial tachycardia/atrial fibrillation (AT/AF) daily burden, a time in AT/AF, an NHR, an intrathoracic impedance, a thoracic impedance, heart rate variability, ventricular intrinsic pacing rate, atrial intrinsic pacing rate, heart rate, respiration rates, tidal volume, an atrial defibrillation duration, a ventricular contraction rate during atrial fibrillation, a cardiac resynchronization therapy percentage, a mean ventricular rate during AT/AF, and a V rate;
employ a lookup table to determine prospective heart failure hospitalization risk based upon the determined number of detected data observations during the said individual evaluation period;
display on the graphical user interface the prospective risk of HFH;
use the prospective risk to suggest a therapy;
display on the graphical user interface the therapy or transmit the therapy via the telemetry module;
modify, using the prospective risk, therapy delivered by the implantable medical device; and
deliver, using the implantable medical device, the modified therapy to the patient;
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 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 observations category.