Determining a value indicative of a thermoregulatory activity of a patient using a temperature management system

1 . A temperature management system for controlling a temperature of a body of a patient and for determining a value indicative of a thermoregulatory activity of the patient, the system comprising:

a heat exchange system comprising:

a heat exchange device,

an extracorporeal control console, and

a fluid reservoir for storing a cooling fluid,

the heat exchange system configured to exchange heat with the body of the patient and to record operational data while controlling the temperature of the body of the patient;

a sensor configured to measure temperature data indicative of a temperature of the body of the patient;

a user interface configured to receive user input and emit at least one of a visual alert and audible alert; and

a processor, a memory storing instructions, and associated circuitry communicatively coupled to the sensor, wherein the processor is configured to:

receive the temperature data from the sensor indicative of the temperature of the body of the patient;

control, based on the temperature data, the heat exchange system to maintain the temperature of the body of the patient within a target temperature range;

obtain in response to the controlling, the operational data including a value of the temperature of the cooling fluid in the fluid reservoir;

determine, based on the value, a trend for values of the temperature of the fluid reservoir;

determine, based on the temperature data and the trend of the values, the value indicative of the thermoregulatory activity of the patient; and

generate, based on the value, an alert through the user interface indicating the thermoregulatory activity of the patient.

2 . The system of claim 1 , wherein the alert comprises a score, the score being indicative of a patient presenting an underlying hyperthermic state or hypothermic state.

3 . The system of claim 2 , wherein the alert comprises a score, the score being indicative of the patient having a damaged or compromised endogenous thermoregulatory mechanism.

4 . The system of claim 1 , wherein the processor is further configured to determine an effectiveness of an endogenous thermoregulatory mechanism of the patient in changing the temperature of the body of the patient.

5 . The system of claim 1 , wherein the value represents cooling power required to change the temperature of the body of the patient a number of degrees over a predefined time interval, the number of degrees being indicative of an effectiveness of an endogenous thermoregulatory mechanism of the patient.

6 . The system of claim 1 , wherein the heat exchange device comprises an intravascular heat exchange catheter or a heat exchange surface pad for exchanging heat with the patient.

7 . The system of claim 1 , wherein the processor is configured, in response to determining the value indicative of the thermoregulatory activity, to cause a therapeutic response by the heat exchange system or another device or system for treating the thermoregulatory activity of the patient.

8 . The system of claim 1 , further comprising a catheter coupled to the sensor, and wherein the sensor is configured to measure a blood temperature of the patient.

9 . The system of claim 8 , wherein the processor is configured to determine a mass flow rate based on a change in blood temperature over time.

10 . The system of claim 9 , wherein the processor is configured to determine a cardiac output value of the patient based on the mass flow rate; and

wherein generating the alert indicating the thermoregulatory activity of the patient is based on the cardiac output value of the patient exceeding a threshold cardiac output value.

11 . The system of claim 1 , wherein the processor is further configured to:

receive training data comprising a plurality of measurements of a first type of operational data for a plurality of patients;

determine, based on the training data, a relationship between the first type of operational data of the heat exchange system and the thermoregulatory activity of the patient; and

adjust one or more thresholds associated with the first type of operational data for generating the alert indicating the thermoregulatory activity of the patient based on the relationship.

12 . The system of claim 1 , wherein determining the value indicative of the thermoregulatory activity of the patient comprises:

receiving, at machine learning logic, two or more types of the operational data; and

applying the machine learning logic to the two or more types of the operational data.

13 . The system of claim 1 , wherein determining the trend for the values of the temperature of the fluid reservoir comprises determining that the values represent i) an increase of the temperature of the fluid reservoir over time, ii) a decrease of the temperature of the fluid over time, or iii) an oscillation of one or more of temperature of the fluid reservoir over time;

determining that a rate of change of the values represented by the increase, the decrease, or the oscillation satisfies a threshold; and

determining, based on satisfying the threshold, the value indicative of the thermoregulatory activity of the patient.

14 . A temperature management system for controlling a temperature of a body of a patient and for determining a value indicative of a thermoregulatory activity of the patient, the system comprising:

a heat exchange system comprising a heat exchange device, an extracorporeal control console, and a fluid reservoir for storing a cooling fluid, the heat exchange system configured to exchange heat with the body of the patient and to record operational data representing operation of the heat exchange device while controlling the temperature of the body of the patient, wherein the operational data comprise a fluid reservoir temperature value associated with the fluid reservoir of the heat exchange system;

a user interface configured to receive user input and emit at least one of a visual alert and audible alert; and

a processor, a memory storing instructions, and associated circuitry communicatively coupled to the heat exchange system, wherein the processor is configured to:

obtain a value of the temperature of the cooling fluid in the fluid reservoir;

determine a trend for values of the temperature of the fluid reservoir;

determine a value indicative of a thermoregulatory activity of the patient based on the trend for the values; and

in response to determining the value, cause a therapeutic response by the heat exchange system or an additional device or system for treating the thermoregulatory activity of the patient.

15 . The system of claim 14 , wherein the therapeutic response by the heat exchange system or another device or system comprises an automatic injection or infusion of a supplemental fluid.

16 . The system of claim 15 , where the automatic injection or infusion is an injection or infusion of an anti-shivering medication.

17 . The system of claim 14 , wherein determining the value indicative of the thermoregulatory activity of the patient comprises:

receiving, at machine learning logic, two or more types of the operational data; and

applying the machine learning logic to the two or more types of the operational data.

18 . A method for controlling a temperature of a body of a patient and for determining a value indicative of a thermoregulatory activity of the patient, the method comprising:

receiving, by a processor, temperature data from a sensor indicative of the temperature of the body of the patient;

receiving, by the processor from a set of sensors, operational data representing a temperature of cooling fluid in a fluid reservoir;

controlling, by the processor based on the temperature data, a heat exchange system to maintain the temperature of the body of the patient within a target temperature range, the heat exchange system being configured to exchange heat with the body of the patient and to record operational data representing operation of the heat exchange system while controlling the temperature of the body of the patient, the operational data comprising a fluid reservoir temperature value associated with a fluid reservoir for storing a cooling fluid;

receiving, by the processor in response to the controlling, a value of the temperature of the cooling fluid in the fluid reservoir;

determining a trend for values of the temperature of the fluid reservoir;

determining, based on the temperature data and the trend of the values, a value indicative of a thermoregulatory activity of the patient; and

generating, by the processor and based on the value indicative of the thermoregulatory activity, an alert indicating the thermoregulatory activity of the patient.

19 . The method of claim 18 , wherein the alert comprises a score, the score being indicative of a patient presenting an underlying hyperthermic state or hypothermic state.

20 . The method of claim 18 , wherein determining the value indicative of the thermoregulatory activity of the patient comprises:

receiving, at machine learning logic, two or more types of the operational data; and

applying the machine learning logic to the two or more types of the operational data.