Device and system that identifies cardiovascular insufficiency

1. A non-invasive device that identifies volume insufficiency in a patient, comprising:

a. a transducer that records a pulse density signal from said patient during at least one respiratory cycle prior to administration of a cardiovascular volume load and during at least one respiratory cycle following administration of said cardiovascular volume load, wherein each respiratory cycle includes a plurality of cardiovascular subcycles;

b. a controller that controls said transducer to initiate said record of said pulse density signal, said controller comprising at least one of the following:

i. a manual or an automated switch;

ii. a plurality of software rules; or

iii. a combination thereof;

c. an activator that activates said cardiovascular volume load; and

d. a processor that is configured to filter said pulse density signal to capture a maximum and minimum data point in each cardiovascular subcycle and to calculate a percent deviation of said pulse density signal across all of said cycles, said percent deviation reflecting a volume status of said patient, said percent deviation being calculated according to the following formula:

percent deviation data signal =( P mean max −P mean min )/[( P mean max +Pmean min )/2]×100,

wherein percent deviation data signal is a variation in said pulse density signal recorded by said transducer prior to said cardiovascular volume load and following said cardiovascular volume load,

wherein Pmean max is a maximum mean value of said pulse density signal recorded during all of said cycles,

wherein Pmean min is a minimum mean value of said pulse density signal recorded during all of said cycles,

wherein each said mean value of said pulse density signal is calculated for each said cardiovascular subcycle (c), as follows:

Pmean c =Pmax c +Pmin c /2, wherein Pmax c is a maximum pulse density signal in a given subcycle (c) and Pmin c is a minimum pulse density signal in said given subcycle (c).

2. A device as in claim 1 wherein said device is portable and/or wearable.

3. A device as in claim 1 wherein said activator is at least one of the following:

a. a volume of fluid;

b. a pharmacologic agent;

c. a physical maneuver;

d. a mechanical ventilation;

e. a manual or an automated switch;

f. a motion sensor;

g. a compression device; or

h. a combination thereof.

4. A device as in claim 3 wherein said physical maneuver is raising a leg of said patient by about 30%, a compression of a part of said patient's body, or a change in a physical position of said patient.

5. A device as in claim 3 wherein said pharmacologic agent is at least one of:

a. a vasodilator;

b. a vasoconstrictor;

c. a vasoactive agent; or

d. a combination thereof.

6. A device as in claim 1 wherein said processor is further configured to generate an output that is selected from the group consisting of a data set, said pulse density signal, an interface, an interpretation, and a suggested treatment or protocol.

7. A device as in claim 6 wherein said output is graphical, numerical, or textual.

8. A device wherein said output is displayed on at least one of the following:

a. a remote display;

b. a handheld display;

c. a display on said device;

d. a display integrated with an interface; or

e. a combination thereof.

9. A device as in claim 1 wherein said transducer is a photoplethysmographic device.

10. A device as in claim 1 wherein said device is an inflatable cuff.

11. A method of using a device to identify volume insufficiency in a patient comprising the steps of:

a. initiating a recording of a pulse density signal by a transducer during at least one respiratory cycle prior to administration of a cardiovascular volume load and during at least one respiratory cycle following administration of said cardiovascular volume load;

b. activating administration of said cardiovascular volume load;

c. filtering said pulse density signal to capture a maximum and minimum data point in each cardiovascular subcycle and to calculate a percent deviation of said pulse density signal across all of said cycles, said percent deviation reflecting a volume status of said patient, said percent deviation being calculated according to the following formula:

percent deviation data signal =( P mean max −P mean min )/[( P mean max +P mean min )/2]×100,

wherein percent deviation data signal is a variation in said pulse density signal recorded by said transducer prior to said cardiovascular volume load and following said cardiovascular volume load,

wherein Pmean max is a maximum mean value of said pulse density signal recorded during all of said cycles,

wherein Pmean min is a minimum mean value of said pulse density signal recorded during all of said cycles,

wherein each said mean value of said pulse density signal is calculated for each said cardiovascular subcycle (c), as follows:

Pmean c =Pmax c +Pmin c /2, wherein Pmax c is a maximum pulse density signal in a given subcycle (c) and Pmin c is a minimum pulse density signal in said given subcycle (c),

d. converting said pulse density signal to an output; and

e. analyzing said output to identify a volume status of said patient.

12. A method as in claim 11 further comprising the step of using output to:

a. monitor said patient either remotely or non-remotely;

b. manage said patient;

c. institute a treatment protocol for said patient; or

d. a combination thereof.