Therapy scoring for hemodynamic conditions
A system for monitoring arterial pressure of a patient determines a score that is predictive of responsiveness of the patient to a therapy. Sensed hemodynamic data representative of an arterial pressure waveform of the patient are received by a hemodynamic monitor. Magnitude data and trend data are derived from the hemodynamic data. The score that is predictive of the responsiveness of the patient to the therapy is determined based on the magnitude data and the trend data of the hemodynamic parameter. A representation of the score is output.
1 . A system for monitoring arterial pressure of a patient and determining one or more scores that are predictive of responsiveness of the patient to a corresponding therapy, the system comprising:
a hemodynamic sensor that produces sensed hemodynamic data representative of an arterial pressure waveform of the patient;
a system memory that stores hemodynamic therapy scoring software code;
a user interface; and
a hardware processor that is configured to execute the hemodynamic therapy scoring software code to:
derive, from the sensed hemodynamic data representative of the arterial pressure waveform of the patient, first magnitude data and first trend data of a first hemodynamic parameter selected from the group consisting of a stroke volume variation (SVV), a pulse pressure variation (PPV), a stroke volume (SV), and a stroke volume index (SVI), wherein the first hemodynamic parameter is indicative of a condition treatable by an intravenous delivery of a saline fluid to the patient;
derive, from the sensed hemodynamic data representative of the arterial pressure waveform of the patient, second magnitude data and second trend data of a second hemodynamic parameter selected from the group consisting of a systemic vascular resistance (SVR) and a systemic vascular resistance index (SVRI), wherein the second hemodynamic parameter is indicative of a condition treatable by an intravenous delivery of a vasopressor to the patient;
derive, from the sensed hemodynamic data representative of the arterial pressure waveform of the patient, third magnitude data and third trend data of a third hemodynamic parameter selected from the group consisting of a maximal rate of rise of arterial pressure (dP/dt max ), a cardiac output (CO), and a cardiac index (CI), wherein the third hemodynamic parameter is indicative of a condition treatable by an intravenous delivery of an inotrope to the patient;
determine a first magnitude sub-score based on the first magnitude data, a second magnitude sub-score based on the second magnitude data, and a third magnitude sub-score based on the third magnitude data;
determine a first trend sub-score based on the first trend data, a second trend sub-score based on the second trend data, and a third trend sub-score based on the third trend data;
determine a first score as a combination of the first magnitude sub-score and the first trend sub-score, a second score as a combination of the second magnitude sub-score and the second trend sub-score, and a third score as a combination of the third magnitude sub-score and the third trend sub-score; and
output, via the user interface, a representation of the first score that is predictive of responsiveness of the patient to the intravenous delivery of the saline fluid, a representation of the second score that is predictive of responsiveness of the patient to the intravenous delivery of the vasopressor, and a representation of the third score that is predictive of responsiveness of the patient to the intravenous delivery of the inotrope.
2 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the first score as the combination of the first magnitude sub-score and the first trend sub-score by determining the first score as a multiplicative product of the first magnitude sub-score and the first trend sub-score.
3 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the first magnitude sub-score as a normalized value ranging between a lower normalized threshold at a lower magnitude threshold of the first magnitude data of the first hemodynamic parameter and an upper normalized threshold at an upper magnitude threshold of the first magnitude data of the first hemodynamic parameter.
4 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the first trend data of the first hemodynamic parameter by determining a slope of a best-fit line of the first hemodynamic parameter associated with a defined time interval.
5 . The system of claim 4 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the first trend sub-score by normalizing the slope of the best-fit line of the first hemodynamic parameter to determine a normalized slope of the best-fit line of the first hemodynamic parameter associated with the defined time interval.
6 . The system of claim 5 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the first trend sub-score by applying a weighting factor to the normalized slope of the best-fit line of the first hemodynamic parameter to determine a weighted normalized slope of the best-fit line of the first hemodynamic parameter associated with the defined time interval.
7 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the first trend data of the first hemodynamic parameter by determining a plurality of slopes of a plurality of best-fit lines of the first hemodynamic parameter associated with a plurality of defined time intervals.
8 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the second score as the combination of the second magnitude sub-score and the second trend sub-score by determining the second score as a multiplicative product of the second magnitude sub-score and the second trend sub-score.
9 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the second magnitude sub-score as a normalized value ranging between a lower normalized threshold at a lower magnitude threshold of the second magnitude data of the second hemodynamic parameter and an upper normalized threshold at an upper magnitude threshold of the second magnitude data of the second hemodynamic parameter.
10 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the second trend data of the second hemodynamic parameter by determining a slope of a best-fit line of one or more best-fit lines of the second hemodynamic parameter associated with a defined time interval.
11 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the second trend data of the second hemodynamic parameter by determining a plurality of slopes of a plurality of best-fit lines of the second hemodynamic parameter associated with a plurality of defined time intervals.
12 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the third score as the combination of the third magnitude sub-score and the third trend sub-score by determining the third score as a multiplicative product of the third magnitude sub-score and the third trend sub-score.
13 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to determine the third magnitude sub-score as a normalized value ranging between a lower normalized threshold at a lower magnitude threshold of the third magnitude data of the third hemodynamic parameter and an upper normalized threshold at an upper magnitude threshold of the third magnitude data of the third hemodynamic parameter.
14 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the third trend data of the third hemodynamic parameter by determining a slope of a best-fit line of one or more best-fit lines of the third hemodynamic parameter associated with a defined time interval.
15 . The system of claim 1 , wherein the hardware processor is configured to execute the hemodynamic therapy scoring software code to derive the third trend data of the third hemodynamic parameter by determining a plurality of slopes of a plurality of best-fit lines of the third hemodynamic parameter associated with a plurality of defined time intervals.
16 . The system of claim 1 , wherein:
the first trend data of the first hemodynamic parameter is based on one or more first best fit lines, the second trend data of the second hemodynamic parameter is based on one or more second best fit lines, and the third trend data of the third hemodynamic parameter is based on one or more third best fit lines; and
the one or more first best fit lines, the one or more second best fit lines, and the one or more third best fit lines are determined using linear regression.
17 . A system for monitoring arterial pressure of a patient and determining one or more scores that are predictive of responsiveness of the patient to a corresponding therapy, the system comprising:
a hemodynamic sensor that produces sensed hemodynamic data representative of an arterial pressure waveform of the patient;
a system memory that stores hemodynamic therapy scoring software code;
a user interface; and
a hardware processor that is configured to execute the hemodynamic therapy scoring software code to:
derive, from the sensed hemodynamic data representative of the arterial pressure waveform of the patient:
first magnitude data and first trend data of a first hemodynamic parameter indicative of a condition treatable by an intravenous delivery of a saline fluid to the patient;
second magnitude data and second trend data of a second hemodynamic parameter indicative of a condition treatable by an intravenous delivery of a vasopressor to the patient; and
third magnitude data and third trend data of a third hemodynamic parameter indicative of a condition treatable by an intravenous delivery of an inotrope to the patient;
wherein the first hemodynamic parameter, the second hemodynamic parameter, and the third hemodynamic parameter are different from one another;
determine a first magnitude sub-score based on the first magnitude data, a second magnitude sub-score based on the second magnitude data, and a third magnitude sub-score based on the third magnitude data;
determine a first trend sub-score based on the first trend data, a second trend sub-score based on the second trend data, and a third trend sub-score based on the third trend data;
determine a first score as a combination of the first magnitude sub-score and the first trend sub-score, a second score as a combination of the second magnitude sub-score and the second trend sub-score, and a third score as a combination of the third magnitude sub-score and the third trend sub-score; and
output, via the user interface, a representation of the first score that is predictive of responsiveness of the patient to the intravenous delivery of the saline fluid, a representation of the second score that is predictive of responsiveness of the patient to the intravenous delivery of the vasopressor, and a representation of the third score that is predictive of responsiveness of the patient to the intravenous delivery of the inotrope.
18 . The system of claim 17 , wherein the first hemodynamic parameter is selected from the group consisting of a stroke volume variation (SVV), a pulse pressure variation (PPV), a stroke volume (SV), and a stroke volume index (SVI).
19 . The system of claim 17 , wherein the second hemodynamic parameter is selected from the group consisting of a systemic vascular resistance (SVR) and a systemic vascular resistance index (SVRI).
20 . The system of claim 17 , wherein the third hemodynamic parameter is selected from the group consisting of a maximal rate of rise of arterial pressure (dP/dt max ), a cardiac output (CO), and a cardiac index (CI).