Method of monitoring health conditions of a patient having an implantable blood pump
A method of predicting an adverse event in a patient having an implantable blood pump including correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value; dividing the determined flow peak value by a pump current to determine a pulsatility peak value; tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range; tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and generating an alert when the second moving average deviates from the threshold range.
1. A method of predicting an adverse event in a patient having an implantable blood pump, the method comprising:
correlating a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value;
dividing the determined flow peak value by a pump current to determine a pulsatility peak value;
tracking a first moving average of the pulsatility peak value, the first moving average defining a threshold range;
tracking a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and
generating an alert when the second moving average deviates from the threshold range.
2. The method of claim 1 , further comprising recording a plurality of alert occurrences over a time period, and based on the plurality of alert occurrences, determining a risk factor associated with a predicted onset of the adverse event.
3. The method of claim 2 , further comprising, based on the determined risk factor, automatically classifying a patient's physiological state among a ranking system.
4. The method of claim 1 , further comprising determining a standard deviation of the first moving average, the first moving average and the standard deviation defining the threshold range.
5. The method of claim 1 , wherein the first moving average is a twenty-four-hour moving average and the second moving average is approximately a two-hour duration.
6. A system of predicting an adverse event in a patient having an implantable blood pump, the system comprising:
the blood pump; and
a processor in communication with the blood pump, the processor having process circuitry configured to:
correlate a pulsatility value to a flow trough value associated with the blood pump to determine a flow peak value;
divide the determined flow peak value by a pump current to determine a pulsatility peak value;
track a first moving average of the pulsatility peak value, the first moving average defining a threshold range;
track a second moving average of the pulsatility peak value, the second moving average being faster than the first moving average; and
generate an alert when the second moving average deviates from the threshold range.
7. The system of claim 6 , wherein the process circuitry is configured to record a plurality of alert occurrences over a time period, and based on the plurality of alert occurrences, determine a risk factor associated with a predicted onset of the adverse event.
8. A method of predicting an adverse event in a patient having an implantable blood pump, the method comprising:
tracking an average pulsatility value associated with the blood pump;
tracking a plurality of parameters associated with the blood pump, the plurality of parameters including an average flow trough value, an average flow value, and a standard flow trough deviation value, the standard flow trough deviation value being measured with respect to the average flow trough value;
correlating the average pulsatility value to the plurality of parameters;
determining an adverse event index value using the correlated average pulsatility value relative to the plurality of parameters;
comparing the adverse event index value to a predetermined threshold range; and
generating an alert when the compared adverse event index value deviates from the predetermined threshold range.
9. The method of claim 8 , further comprising correlating the average pulsatility value to a scaling coefficient.
10. The method of claim 8 , further comprising correlating the standard flow trough deviation value to an offset value.
11. The method of claim 8 , further comprising determining a plurality of adverse event index values during a plurality of time periods, comparing the plurality of adverse event index values to each other, and based on the compared plurality of adverse event index values, classifying a patient's physiological state among a ranking system.
12. The method of claim 8 , wherein the average pulsatility value and the plurality of parameters associated with the blood pump are expressed as a waveform, and the adverse event index value exceeding the predetermined threshold range is expressed as an abnormal feature of the waveform.
13. A system of predicting an adverse event in a patient having an implantable blood pump, the system comprising:
the blood pump; and
a processor in communication with the blood pump, the processor having process circuitry configured to:
track an average pulsatility value associated with the blood pump;
track a plurality of parameters associated with the blood pump, the plurality of parameters including an average flow trough value, an average flow value, and a standard flow trough deviation value, the standard flow trough deviation value being measured with respect to the average flow value;
correlate the average pulsatility value to the plurality of parameters;
determine an adverse event index value using the correlated average pulsatility value relative to the plurality of parameters;
compare the adverse event index value to a predetermined threshold range; and
generate an alert when the compared adverse event index value deviates from the predetermined threshold range.
14. A method of predicting an adverse event in a patient having an implantable blood pump, the method comprising:
identifying a flow trough value associated with the blood pump during use;
comparing the flow trough value to a standard deviation flow value and an average flow value;
determining a flow trough index value using the compared flow trough value to the standard deviation flow value and the average flow value; and
generating an alert when the flow trough index value deviates from a predetermined threshold range.
15. The method of claim 14 , further comprising, based on the determined flow trough index value, quantifying a suction prevalence associated with the blood pump.
16. The method of claim 14 , further comprising determining a plurality of flow trough index values, and based on the determined plurality of flow trough index values, quantifying a suction prevalence associated with the blood pump.
17. The method of claim 16 , further comprising, based on the suction prevalence, classifying a patient's physiological state among a ranking system.
18. The method of claim 14 , further comprising:
determining a presence of a negative flow trough value relative to a flow scale,
if the negative flow trough value is present, correlating the flow trough value to a constant, and
following correlating the flow trough value to the constant, determining the flow trough index value.
19. The method of claim 18 , further comprising multiplying the flow trough index value by a corrective factor.
20. The method of claim 14 , further comprising dividing the standard deviation flow value and the average flow value.
21. A system of predicting an adverse event in a patient having an implantable blood pump, the system comprising:
the blood pump; and
a processor in communication with the blood pump, the processor having process circuitry configured to:
identify a flow trough value associated with the blood pump during use;
compare the flow trough value to a standard deviation flow value and an average flow value;
determine a flow trough index value using the compared flow trough value to the standard deviation flow value and the average flow value; and
generate an alert when the flow trough index value deviates from a predetermined threshold range.