Therapy scoring for hemodynamic conditions

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/dtmax), 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.